## Implementation of X/Twitter v1, v2, and GraphQL APIs
[](https://pypi.org/project/twitter-api-client)
[](https://pypi.org/project/twitter-api-client)
<img src="https://static.pepy.tech/badge/twitter-api-client"/>
<img src="https://static.pepy.tech/badge/twitter-api-client/month"/>
[](https://github.com/trevorhobenshield/twitter-api-client/blob/main/LICENSE)
## Table of Contents
* [Installation](#installation)
* [Automation](#automation)
* [Scraping](#scraping)
* [Get all user/tweet data](#get-all-usertweet-data)
* [Resume Pagination](#resume-pagination)
* [Search](#search)
* [Spaces](#spaces)
* [Live Audio Capture](#live-audio-capture)
* [Live Transcript Capture](#live-transcript-capture)
* [Search and Metadata](#search-and-metadata)
* [Automated Solvers](#automated-solvers)
* [Example API Responses](#example-api-responses)
### Installation
```bash
pip install twitter-api-client -U
```
### Automation
*As of Fall 2023 login by username/password is unstable. Using cookies is now recommended.*
```python
from twitter.account import Account
## sign-in with credentials
email, username, password = ..., ..., ...
account = Account(email, username, password)
## or, resume session using cookies
# account = Account(cookies={"ct0": ..., "auth_token": ...})
## or, resume session using cookies (JSON file)
# account = Account(cookies='twitter.cookies')
account.tweet('test 123')
account.untweet(123456)
account.retweet(123456)
account.unretweet(123456)
account.reply('foo', tweet_id=123456)
account.quote('bar', tweet_id=123456)
account.schedule_tweet('schedule foo', 1681851240)
account.unschedule_tweet(123456)
account.tweet('hello world', media=[
{'media': 'test.jpg', 'alt': 'some alt text', 'tagged_users': [123]},
{'media': 'test.jpeg', 'alt': 'some alt text', 'tagged_users': [123]},
{'media': 'test.png', 'alt': 'some alt text', 'tagged_users': [123]},
{'media': 'test.jfif', 'alt': 'some alt text', 'tagged_users': [123]},
])
account.schedule_tweet('foo bar', '2023-04-18 15:42', media=[
{'media': 'test.gif', 'alt': 'some alt text'},
])
account.schedule_reply('hello world', '2023-04-19 15:42', tweet_id=123456, media=[
{'media': 'test.gif', 'alt': 'some alt text'},
])
account.dm('my message', [1234], media='test.jpg')
account.create_poll('test poll 123', ['hello', 'world', 'foo', 'bar'], 10080)
# tweets
account.like(123456)
account.unlike(123456)
account.bookmark(123456)
account.unbookmark(123456)
account.pin(123456)
account.unpin(123456)
# users
account.follow(1234)
account.unfollow(1234)
account.mute(1234)
account.unmute(1234)
account.enable_follower_notifications(1234)
account.disable_follower_notifications(1234)
account.block(1234)
account.unblock(1234)
# user profile
account.update_profile_image('test.jpg')
account.update_profile_banner('test.png')
account.update_profile_info(name='Foo Bar', description='test 123', location='Victoria, BC')
# topics
account.follow_topic(111)
account.unfollow_topic(111)
# lists
account.create_list('My List', 'description of my list', private=False)
account.update_list(222, 'My Updated List', 'some updated description', private=False)
account.update_list_banner(222, 'test.png')
account.delete_list_banner(222)
account.add_list_member(222, 1234)
account.remove_list_member(222, 1234)
account.delete_list(222)
account.pin_list(222)
account.unpin_list(222)
# refresh all pinned lists in this order
account.update_pinned_lists([222, 111, 333])
# unpin all lists
account.update_pinned_lists([])
# get timelines
timeline = account.home_timeline()
latest_timeline = account.home_latest_timeline(limit=500)
# get bookmarks
bookmarks = account.bookmarks()
# get DM inbox metadata
inbox = account.dm_inbox()
# get DMs from all conversations
dms = account.dm_history()
# get DMs from specific conversations
dms = account.dm_history(['123456-789012', '345678-901234'])
# search DMs by keyword
dms = account.dm_search('test123')
# delete entire conversation
account.dm_delete(conversation_id='123456-789012')
# delete (hide) specific DM
account.dm_delete(message_id='123456')
# get all scheduled tweets
scheduled_tweets = account.scheduled_tweets()
# delete a scheduled tweet
account.delete_scheduled_tweet(12345678)
# get all draft tweets
draft_tweets = account.draft_tweets()
# delete a draft tweet
account.delete_draft_tweet(12345678)
# delete all scheduled tweets
account.clear_scheduled_tweets()
# delete all draft tweets
account.clear_draft_tweets()
# example configuration
account.update_settings({
"address_book_live_sync_enabled": False,
"allow_ads_personalization": False,
"allow_authenticated_periscope_requests": True,
"allow_dm_groups_from": "following",
"allow_dms_from": "following",
"allow_location_history_personalization": False,
"allow_logged_out_device_personalization": False,
"allow_media_tagging": "none",
"allow_sharing_data_for_third_party_personalization": False,
"alt_text_compose_enabled": None,
"always_use_https": True,
"autoplay_disabled": False,
"country_code": "us",
"discoverable_by_email": False,
"discoverable_by_mobile_phone": False,
"display_sensitive_media": False,
"dm_quality_filter": "enabled",
"dm_receipt_setting": "all_disabled",
"geo_enabled": False,
"include_alt_text_compose": True,
"include_mention_filter": True,
"include_nsfw_admin_flag": True,
"include_nsfw_user_flag": True,
"include_ranked_timeline": True,
"language": "en",
"mention_filter": "unfiltered",
"nsfw_admin": False,
"nsfw_user": False,
"personalized_trends": True,
"protected": False,
"ranked_timeline_eligible": None,
"ranked_timeline_setting": None,
"require_password_login": False,
"requires_login_verification": False,
"sleep_time": {
"enabled": False,
"end_time": None,
"start_time": None
},
"translator_type": "none",
"universal_quality_filtering_enabled": "enabled",
"use_cookie_personalization": False,
})
# example configuration
account.update_search_settings({
"optInFiltering": True, # filter nsfw content
"optInBlocking": True, # filter blocked accounts
})
notifications = account.notifications()
account.change_password('old pwd','new pwd')
```
### Scraping
#### Get all user/tweet data
Two special batch queries `scraper.tweets_by_ids` and `scraper.users_by_ids` should be preferred when applicable. These endpoints are more much more efficient and have higher rate limits than their unbatched counterparts. See the table below for a comparison.
| Endpoint | Batch Size | Rate Limit |
|---------------|----------------|---------------|
| tweets_by_ids | ~220 | 500 / 15 mins |
| tweets_by_id | 1 | 50 / 15 mins |
| users_by_ids | ~220 | 100 / 15 mins |
| users_by_id | 1 | 500 / 15 mins |
*As of Fall 2023 login by username/password is unstable. Using cookies is now recommended.*
```python
from twitter.scraper import Scraper
## sign-in with credentials
email, username, password = ..., ..., ...
scraper = Scraper(email, username, password)
## or, resume session using cookies
# scraper = Scraper(cookies={"ct0": ..., "auth_token": ...})
## or, resume session using cookies (JSON file)
# scraper = Scraper(cookies='twitter.cookies')
## or, initialize guest session (limited endpoints)
# from twitter.util import init_session
# scraper = Scraper(session=init_session())
# user data
users = scraper.users(['foo', 'bar', 'hello', 'world'])
users = scraper.users_by_ids([123, 234, 345]) # preferred
users = scraper.users_by_id([123, 234, 345])
tweets = scraper.tweets([123, 234, 345])
likes = scraper.likes([123, 234, 345])
tweets_and_replies = scraper.tweets_and_replies([123, 234, 345])
media = scraper.media([123, 234, 345])
following = scraper.following([123, 234, 345])
followers = scraper.followers([123, 234, 345])
scraper.tweet_stats([111111, 222222, 333333])
# get recommended users based on user
scraper.recommended_users()
scraper.recommended_users([123])
# tweet data
tweets = scraper.tweets_by_ids([987, 876, 754]) # preferred
tweets = scraper.tweets_by_id([987, 876, 754])
tweet_details = scraper.tweets_details([987, 876, 754])
retweeters = scraper.retweeters([987, 876, 754])
favoriters = scraper.favoriters([987, 876, 754])
scraper.download_media([
111111,
222222,
333333,
444444,
])
# trends
scraper.trends()
```
#### Resume Pagination
**Pagination is already done by default**, however there are circumstances where you may need to resume pagination from
a specific cursor. For example, the `Followers` endpoint only allows for 50 requests every 15 minutes. In this case, we
can resume from where we left off by providing a specific cursor value.
```python
from twitter.scraper import Scraper
email, username, password = ..., ..., ...
scraper = Scraper(email, username, password)
user_id = 44196397
cursor = '1767341853908517597|1663601806447476672' # example cursor
limit = 100 # arbitrary limit for demonstration
follower_subset, last_cursor = scraper.followers([user_id], limit=limit, cursor=cursor)
# use last_cursor to resume pagination
```
#### Search
```python
from twitter.search import Search
email, username, password = ..., ..., ...
# default output directory is `data/search_results` if save=True
search = Search(email, username, password, save=True, debug=1)
res = search.run(
limit=37,
retries=5,
queries=[
{
'category': 'Top',
'query': 'paperswithcode -tensorflow -tf'
},
{
'category': 'Latest',
'query': 'test'
},
{
'category': 'People',
'query': 'brasil portugal -argentina'
},
{
'category': 'Photos',
'query': 'greece'
},
{
'category': 'Videos',
'query': 'italy'
},
],
)
```
**Search Operators Reference**
https://developer.twitter.com/en/docs/twitter-api/v1/rules-and-filtering/search-operators
https://developer.twitter.com/en/docs/twitter-api/tweets/search/integrate/build-a-query
### Spaces
#### Live Audio Capture
Capture live audio for up to 500 streams per IP
```python
from twitter.scraper import Scraper
from twitter.util import init_session
session = init_session() # initialize guest session, no login required
scraper = Scraper(session=session)
rooms = [...]
scraper.spaces_live(rooms=rooms) # capture live audio from list of rooms
```
#### Live Transcript Capture
**Raw transcript chunks**
```python
from twitter.scraper import Scraper
from twitter.util import init_session
session = init_session() # initialize guest session, no login required
scraper = Scraper(session=session)
# room must be live, i.e. in "Running" state
scraper.space_live_transcript('1zqKVPlQNApJB',
frequency=2) # word-level live transcript. (dirty, on-the-fly transcription before post-processing)
```
**Processed (final) transcript chunks**
```python
from twitter.scraper import Scraper
from twitter.util import init_session
session = init_session() # initialize guest session, no login required
scraper = Scraper(session=session)
# room must be live, i.e. in "Running" state
scraper.space_live_transcript('1zqKVPlQNApJB', frequency=1) # finalized live transcript. (clean)
```
#### Search and Metadata
```python
from twitter.scraper import Scraper
from twitter.util import init_session
from twitter.constants import SpaceCategory
session = init_session() # initialize guest session, no login required
scraper = Scraper(session=session)
# download audio and chat-log from space
spaces = scraper.spaces(rooms=['1eaJbrAPnBVJX', '1eaJbrAlZjjJX'], audio=True, chat=True)
# pull metadata only
spaces = scraper.spaces(rooms=['1eaJbrAPnBVJX', '1eaJbrAlZjjJX'])
# search for spaces in "Upcoming", "Top" and "Live" categories
spaces = scraper.spaces(search=[
{
'filter': SpaceCategory.Upcoming,
'query': 'hello'
},
{
'filter': SpaceCategory.Top,
'query': 'world'
},
{
'filter': SpaceCategory.Live,
'query': 'foo bar'
}
])
```
### Automated Solvers
> This requires installation of the [proton-api-client](https://pypi.org/project/proton-api-client) package
To set up automated email confirmation/verification solvers, add your Proton Mail credentials below as shown.
This removes the need to manually solve email challenges via the web app. These credentials can be used
in `Scraper`, `Account`, and `Search` constructors.
E.g.
```python
from twitter.account import Account
from twitter.util import get_code
from proton.client import ProtonMail
proton_username, proton_password = ..., ...
proton = lambda: get_code(ProtonMail(proton_username, proton_password))
email, username, password = ..., ..., ...
account = Account(email, username, password, proton=proton)
```
### Example API Responses
<details>
<summary> UserTweetsAndReplies </summary>
```json
{
"entryId": "homeConversation-1648726807301218305-1648801924760711169-1648811419998228480",
"sortIndex": "1648811419998228480",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "homeConversation-1648811419998228480-0-tweet-1648726807301218305",
"dispensable": true,
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1648726807301218305",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozMzgzNjYyOQ==",
"rest_id": "33836629",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": false,
"can_media_tag": true,
"created_at": "Tue Apr 21 06:49:15 +0000 2009",
"default_profile": false,
"default_profile_image": false,
"description": "Building a kind of JARVIS @ OреոΑӏ. Previously Director of AI @ Tesla, CS231n, PhD @ Stanford. I like to train large deep neural nets 🧠🤖💥",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "karpathy.ai",
"expanded_url": "https://karpathy.ai",
"url": "https://t.co/0EcFthjJXM",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 7312,
"followers_count": 701921,
"friends_count": 809,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 9207,
"location": "Stanford",
"media_count": 633,
"name": "Andrej Karpathy",
"normal_followers_count": 701921,
"pinned_tweet_ids_str": [
"1599152286672248832"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/33836629/1407117611",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1296667294148382721/9Pr6XrPB_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "karpathy",
"statuses_count": 8067,
"translator_type": "none",
"url": "https://t.co/0EcFthjJXM",
"verified": true,
"want_retweets": false,
"withheld_in_countries": []
},
"smart_blocked_by": false,
"smart_blocking": false
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1648726807301218305"
],
"editable_until_msecs": "1681923877000",
"is_edit_eligible": true,
"edits_remaining": "5"
},
"edit_perspective": {
"favorited": false,
"retweeted": false
},
"is_translatable": false,
"views": {
"count": "409371",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"quoted_status_result": {
"result": {
"__typename": "Tweet",
"rest_id": "1647434714947395585",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozMTA4MzUx",
"rest_id": "3108351",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Square",
"legacy": {
"can_dm": false,
"can_media_tag": true,
"created_at": "Sun Apr 01 06:22:13 +0000 2007",
"default_profile": false,
"default_profile_image": false,
"description": "Sign up for our newsletters and alerts: https://t.co/QevH0DLisA | Got a tip? https://t.co/iXIigdOLPr | For WSJ customer support: https://t.co/DZgH9n4vAI",
"entities": {
"description": {
"urls": [
{
"display_url": "wsj.com/newsletters",
"expanded_url": "http://wsj.com/newsletters",
"url": "https://t.co/QevH0DLisA",
"indices": [
40,
63
]
},
{
"display_url": "wsj.com/tips",
"expanded_url": "http://wsj.com/tips",
"url": "https://t.co/iXIigdOLPr",
"indices": [
77,
100
]
},
{
"display_url": "customercenter.wsj.com",
"expanded_url": "http://customercenter.wsj.com",
"url": "https://t.co/DZgH9n4vAI",
"indices": [
129,
152
]
}
]
},
"url": {
"urls": [
{
"display_url": "wsj.com",
"expanded_url": "http://wsj.com",
"url": "https://t.co/9rMrYLEXTt",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 1137,
"followers_count": 20521959,
"friends_count": 1087,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 128849,
"location": "New York, NY",
"media_count": 45523,
"name": "The Wall Street Journal",
"normal_followers_count": 20521959,
"pinned_tweet_ids_str": [
"1648690341581651971"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/3108351/1680557947",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/971415515754266624/zCX0q9d5_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "WSJ",
"statuses_count": 404295,
"translator_type": "regular",
"url": "https://t.co/9rMrYLEXTt",
"verified": true,
"verified_type": "Business",
"want_retweets": false,
"withheld_in_countries": []
},
"smart_blocked_by": false,
"smart_blocking": false
}
}
},
"card": {
"rest_id": "https://t.co/eDupI8Jpey",
"legacy": {
"binding_values": [
{
"key": "photo_image_full_size_large",
"value": {
"image_value": {
"height": 419,
"width": 800,
"url": "https://pbs.twimg.com/card_img/1644698702035185664/Q7MqVdeE?format=jpg&name=800x419"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image",
"value": {
"image_value": {
"height": 150,
"width": 267,
"url": "https://pbs.twimg.com/card_img/1644698702035185664/Q7MqVdeE?format=jpg&name=280x150"
},
"type": "IMAGE"
}
},
{
"key": "description",
"value": {
"string_value": "iPhone thieves across the country are locking people out of their Apple accounts and draining their bank accounts—sometimes before victims even know what happen",
"type": "STRING"
}
},
{
"key": "domain",
"value": {
"string_value": "www.wsj.com",
"type": "STRING"
}
},
{
"key": "thumbnail_image_large",
"value": {
"image_value": {
"height": 320,
"width": 569,
"url": "https://pbs.twimg.com/card_img/1644698702035185664/Q7MqVdeE?format=jpg&name=800x320_1"
},
"type": "IMAGE"
}
},
{
"key": "summary_photo_image_small",
"value": {
"image_value": {
"height": 202,
"width": 386,
"url": "https://pbs.twimg.com/card_img/1644698702035185664/Q7MqVdeE?format=jpg&name=386x202"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_original",
"value": {
"image_value": {
"height": 720,
"width": 1280,
"url": "https://pbs.twimg.com/card_img/1644698702035185664/Q7MqVdeE?format=jpg&name=orig"
},
"type": "IMAGE"
}
},
{
"key": "site",
"value": {
"scribe_key": "publisher_id",
"type": "USER",
"user_value": {
"id_str": "3108351",
"path": []
}
}
},
{
"key": "photo_image_full_size_small",
"value": {
"image_value": {
"height": 202,
"width": 386,
"url": "https://pbs.twimg.com/card_img/1644698702035185664/Q7MqVdeE?format=jpg&name=386x202"
},
"type": "IMAGE"
}
},
{
"key": "summary_photo_image_large",
"value": {
"image_value": {
"height": 419,
"width": 800,
"url": "https://pbs.twimg.com/card_img/1644698702035185664/Q7MqVdeE?format=jpg&name=800x419"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_small",
"value": {
"image_value": {
"height": 81,
"width": 144,
"url": "https://pbs.twimg.com/card_img/1644698702035185664/Q7MqVdeE?format=jpg&name=144x144"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_x_large",
"value": {
"image_value": {
"height": 720,
"width": 1280,
"url": "https://pbs.twimg.com/card_img/1644698702035185664/Q7MqVdeE?format=png&name=2048x2048_2_exp"
},
"type": "IMAGE"
}
},
{
"key": "photo_image_full_size_original",
"value": {
"image_value": {
"height": 720,
"width": 1280,
"url": "https://pbs.twimg.com/card_img/1644698702035185664/Q7MqVdeE?format=jpg&name=orig"
},
"type": "IMAGE"
}
},
{
"key": "vanity_url",
"value": {
"scribe_key": "vanity_url",
"string_value": "wsj.com",
"type": "STRING"
}
},
{
"key": "photo_image_full_size",
"value": {
"image_value": {
"height": 314,
"width": 600,
"url": "https://pbs.twimg.com/card_img/1644698702035185664/Q7MqVdeE?format=jpg&name=600x314"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_color",
"value": {
"image_color_value": {
"palette": [
{
"rgb": {
"blue": 14,
"green": 17,
"red": 2
},
"percentage": 80.84
},
{
"rgb": {
"blue": 118,
"green": 92,
"red": 1
},
"percentage": 10.71
},
{
"rgb": {
"blue": 253,
"green": 225,
"red": 182
},
"percentage": 2.22
},
{
"rgb": {
"blue": 200,
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},
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}
```
</details>
<details>
<summary> Retweeters </summary>
```json
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"smart_blocking": false,
"business_account": {}
}
},
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}
}
}
```
</details>
<details>
<summary> Favoriters </summary>
```json
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"legacy": {
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"entities": {
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},
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}
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}
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},
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}
}
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</details>
<details>
<summary> Followers </summary>
```json
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},
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},
"clientEventInfo": {
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}
}
```
</details>
<details>
<summary> Following </summary>
```json
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},
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},
"clientEventInfo": {
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}
}
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</details>
<details>
<summary> UsersByRestIds </summary>
```json
{
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{
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"rest_id": "1720046887",
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"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
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"can_media_tag": true,
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"default_profile_image": false,
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}
},
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"location": "",
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"translator_type": "none",
"verified": false,
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"withheld_in_countries": []
},
"smart_blocked_by": false,
"smart_blocking": false
}
}
]
}
}
```
</details>
<details>
<summary> TweetStats (full response) </summary>
```json
{
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"user": {
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}
}
}
}
}
```
</details>
<details>
<summary> TweetResultByRestId (full response) </summary>
```json
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"is_blue_verified": false,
"legacy": {
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"can_media_tag": true,
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"default_profile": false,
"default_profile_image": false,
"description": "towards a plurality of humanity loving AGIs @openai",
"entities": {
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},
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"has_custom_timelines": true,
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</details>
<details>
<summary> UserByScreenName (full response) </summary>
```json
{
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}
},
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},
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"smart_blocking": false,
"legacy_extended_profile": {},
"is_profile_translatable": false,
"verification_info": {},
"business_account": {}
}
}
}
}
```
</details>
<details>
<summary> AudioSpaceById </summary>
```json
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},
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},
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"avatar_url": "https://pbs.twimg.com/profile_images/1581014308397502464/NPogKMyk_normal.jpg",
"is_verified": true,
"is_muted_by_admin": false,
"is_muted_by_guest": false,
"user_results": {
"rest_id": "1356434353623093249",
"result": {
"__typename": "User",
"identity_profile_labels_highlighted_label": {},
"has_nft_avatar": false,
"is_blue_verified": true,
"legacy": {}
}
}
},
{
"periscope_user_id": "1oNQlLXrndrQw",
"twitter_screen_name": "zachxbt",
"display_name": "ZachXBT",
"avatar_url": "https://pbs.twimg.com/profile_images/1656044798090854429/2v6CCeiE_normal.jpg",
"is_verified": true,
"is_muted_by_admin": false,
"is_muted_by_guest": false,
"user_results": {
"rest_id": "3012852462",
"result": {
"__typename": "User",
"identity_profile_labels_highlighted_label": {},
"has_nft_avatar": false,
"is_blue_verified": true,
"legacy": {}
}
}
}
]
}
}
}
}
```
</details>
<details>
<summary> AudioSpaceSearch </summary>
```json
{
"data": {
"search_by_raw_query": {
"audio_spaces_grouped_by_section": {
"sections": [
{
"name": "Live",
"items": [
{
"kind": "Audiospace",
"followed_participants_results": [],
"space": {
"rest_id": "1MYGNgPoldnJw"
}
},
{
"kind": "Audiospace",
"followed_participants_results": [],
"space": {
"rest_id": "1YqGoAdvOjbxv"
}
},
{
"kind": "Audiospace",
"followed_participants_results": [],
"space": {
"rest_id": "1OwGWwdNlmpGQ"
}
}
],
"destination": "Live"
}
]
}
}
}
}
```
</details>
Raw data
{
"_id": null,
"home_page": "https://github.com/yanjlee/twitter-api-client",
"name": "twitter-api-client-pro",
"maintainer": null,
"docs_url": null,
"requires_python": null,
"maintainer_email": null,
"keywords": null,
"author": "yanjlee",
"author_email": "yanjlee@163.com",
"download_url": "https://files.pythonhosted.org/packages/0e/7b/0706456eca9e61c437e480754fe06ddab93aae07c812a61d38088afb3728/twitter_api_client_pro-1.2.2.tar.gz",
"platform": null,
"description": "## Implementation of X/Twitter v1, v2, and GraphQL APIs\r\n\r\n[](https://pypi.org/project/twitter-api-client)\r\n[](https://pypi.org/project/twitter-api-client)\r\n<img src=\"https://static.pepy.tech/badge/twitter-api-client\"/>\r\n<img src=\"https://static.pepy.tech/badge/twitter-api-client/month\"/>\r\n[](https://github.com/trevorhobenshield/twitter-api-client/blob/main/LICENSE)\r\n\r\n## Table of Contents\r\n\r\n* [Installation](#installation)\r\n* [Automation](#automation)\r\n* [Scraping](#scraping)\r\n * [Get all user/tweet data](#get-all-usertweet-data)\r\n * [Resume Pagination](#resume-pagination)\r\n * [Search](#search)\r\n* [Spaces](#spaces)\r\n * [Live Audio Capture](#live-audio-capture)\r\n * [Live Transcript Capture](#live-transcript-capture)\r\n * [Search and Metadata](#search-and-metadata)\r\n* [Automated Solvers](#automated-solvers)\r\n* [Example API Responses](#example-api-responses)\r\n\r\n### Installation\r\n\r\n```bash\r\npip install twitter-api-client -U\r\n```\r\n\r\n### Automation\r\n\r\n\r\n\r\n*As of Fall 2023 login by username/password is unstable. Using cookies is now recommended.*\r\n\r\n```python\r\nfrom twitter.account import Account\r\n\r\n## sign-in with credentials\r\nemail, username, password = ..., ..., ...\r\naccount = Account(email, username, password)\r\n\r\n## or, resume session using cookies\r\n# account = Account(cookies={\"ct0\": ..., \"auth_token\": ...})\r\n\r\n## or, resume session using cookies (JSON file)\r\n# account = Account(cookies='twitter.cookies')\r\n\r\naccount.tweet('test 123')\r\naccount.untweet(123456)\r\naccount.retweet(123456)\r\naccount.unretweet(123456)\r\naccount.reply('foo', tweet_id=123456)\r\naccount.quote('bar', tweet_id=123456)\r\naccount.schedule_tweet('schedule foo', 1681851240)\r\naccount.unschedule_tweet(123456)\r\n\r\naccount.tweet('hello world', media=[\r\n {'media': 'test.jpg', 'alt': 'some alt text', 'tagged_users': [123]},\r\n {'media': 'test.jpeg', 'alt': 'some alt text', 'tagged_users': [123]},\r\n {'media': 'test.png', 'alt': 'some alt text', 'tagged_users': [123]},\r\n {'media': 'test.jfif', 'alt': 'some alt text', 'tagged_users': [123]},\r\n])\r\n\r\naccount.schedule_tweet('foo bar', '2023-04-18 15:42', media=[\r\n {'media': 'test.gif', 'alt': 'some alt text'},\r\n])\r\n\r\naccount.schedule_reply('hello world', '2023-04-19 15:42', tweet_id=123456, media=[\r\n {'media': 'test.gif', 'alt': 'some alt text'},\r\n])\r\n\r\naccount.dm('my message', [1234], media='test.jpg')\r\n\r\naccount.create_poll('test poll 123', ['hello', 'world', 'foo', 'bar'], 10080)\r\n\r\n# tweets\r\naccount.like(123456)\r\naccount.unlike(123456)\r\naccount.bookmark(123456)\r\naccount.unbookmark(123456)\r\naccount.pin(123456)\r\naccount.unpin(123456)\r\n\r\n# users\r\naccount.follow(1234)\r\naccount.unfollow(1234)\r\naccount.mute(1234)\r\naccount.unmute(1234)\r\naccount.enable_follower_notifications(1234)\r\naccount.disable_follower_notifications(1234)\r\naccount.block(1234)\r\naccount.unblock(1234)\r\n\r\n# user profile\r\naccount.update_profile_image('test.jpg')\r\naccount.update_profile_banner('test.png')\r\naccount.update_profile_info(name='Foo Bar', description='test 123', location='Victoria, BC')\r\n\r\n# topics\r\naccount.follow_topic(111)\r\naccount.unfollow_topic(111)\r\n\r\n# lists\r\naccount.create_list('My List', 'description of my list', private=False)\r\naccount.update_list(222, 'My Updated List', 'some updated description', private=False)\r\naccount.update_list_banner(222, 'test.png')\r\naccount.delete_list_banner(222)\r\naccount.add_list_member(222, 1234)\r\naccount.remove_list_member(222, 1234)\r\naccount.delete_list(222)\r\naccount.pin_list(222)\r\naccount.unpin_list(222)\r\n\r\n# refresh all pinned lists in this order\r\naccount.update_pinned_lists([222, 111, 333])\r\n\r\n# unpin all lists\r\naccount.update_pinned_lists([])\r\n\r\n# get timelines\r\ntimeline = account.home_timeline()\r\nlatest_timeline = account.home_latest_timeline(limit=500)\r\n\r\n# get bookmarks\r\nbookmarks = account.bookmarks()\r\n\r\n# get DM inbox metadata \r\ninbox = account.dm_inbox()\r\n\r\n# get DMs from all conversations \r\ndms = account.dm_history()\r\n\r\n# get DMs from specific conversations\r\ndms = account.dm_history(['123456-789012', '345678-901234'])\r\n\r\n# search DMs by keyword\r\ndms = account.dm_search('test123')\r\n\r\n# delete entire conversation\r\naccount.dm_delete(conversation_id='123456-789012')\r\n\r\n# delete (hide) specific DM\r\naccount.dm_delete(message_id='123456')\r\n\r\n# get all scheduled tweets\r\nscheduled_tweets = account.scheduled_tweets()\r\n\r\n# delete a scheduled tweet\r\naccount.delete_scheduled_tweet(12345678)\r\n\r\n# get all draft tweets\r\ndraft_tweets = account.draft_tweets()\r\n\r\n# delete a draft tweet\r\naccount.delete_draft_tweet(12345678)\r\n\r\n# delete all scheduled tweets\r\naccount.clear_scheduled_tweets()\r\n\r\n# delete all draft tweets\r\naccount.clear_draft_tweets()\r\n\r\n# example configuration\r\naccount.update_settings({\r\n \"address_book_live_sync_enabled\": False,\r\n \"allow_ads_personalization\": False,\r\n \"allow_authenticated_periscope_requests\": True,\r\n \"allow_dm_groups_from\": \"following\",\r\n \"allow_dms_from\": \"following\",\r\n \"allow_location_history_personalization\": False,\r\n \"allow_logged_out_device_personalization\": False,\r\n \"allow_media_tagging\": \"none\",\r\n \"allow_sharing_data_for_third_party_personalization\": False,\r\n \"alt_text_compose_enabled\": None,\r\n \"always_use_https\": True,\r\n \"autoplay_disabled\": False,\r\n \"country_code\": \"us\",\r\n \"discoverable_by_email\": False,\r\n \"discoverable_by_mobile_phone\": False,\r\n \"display_sensitive_media\": False,\r\n \"dm_quality_filter\": \"enabled\",\r\n \"dm_receipt_setting\": \"all_disabled\",\r\n \"geo_enabled\": False,\r\n \"include_alt_text_compose\": True,\r\n \"include_mention_filter\": True,\r\n \"include_nsfw_admin_flag\": True,\r\n \"include_nsfw_user_flag\": True,\r\n \"include_ranked_timeline\": True,\r\n \"language\": \"en\",\r\n \"mention_filter\": \"unfiltered\",\r\n \"nsfw_admin\": False,\r\n \"nsfw_user\": False,\r\n \"personalized_trends\": True,\r\n \"protected\": False,\r\n \"ranked_timeline_eligible\": None,\r\n \"ranked_timeline_setting\": None,\r\n \"require_password_login\": False,\r\n \"requires_login_verification\": False,\r\n \"sleep_time\": {\r\n \"enabled\": False,\r\n \"end_time\": None,\r\n \"start_time\": None\r\n },\r\n \"translator_type\": \"none\",\r\n \"universal_quality_filtering_enabled\": \"enabled\",\r\n \"use_cookie_personalization\": False,\r\n})\r\n\r\n# example configuration\r\naccount.update_search_settings({\r\n \"optInFiltering\": True, # filter nsfw content\r\n \"optInBlocking\": True, # filter blocked accounts\r\n})\r\n\r\nnotifications = account.notifications()\r\n\r\naccount.change_password('old pwd','new pwd')\r\n\r\n```\r\n\r\n### Scraping\r\n\r\n#### Get all user/tweet data\r\n\r\nTwo special batch queries `scraper.tweets_by_ids` and `scraper.users_by_ids` should be preferred when applicable. These endpoints are more much more efficient and have higher rate limits than their unbatched counterparts. See the table below for a comparison.\r\n\r\n| Endpoint | Batch Size | Rate Limit |\r\n|---------------|----------------|---------------|\r\n| tweets_by_ids | ~220 | 500 / 15 mins |\r\n| tweets_by_id | 1 | 50 / 15 mins |\r\n| users_by_ids | ~220 | 100 / 15 mins |\r\n| users_by_id | 1 | 500 / 15 mins |\r\n\r\n\r\n\r\n\r\n*As of Fall 2023 login by username/password is unstable. Using cookies is now recommended.*\r\n\r\n```python\r\nfrom twitter.scraper import Scraper\r\n\r\n## sign-in with credentials\r\nemail, username, password = ..., ..., ...\r\nscraper = Scraper(email, username, password)\r\n\r\n## or, resume session using cookies\r\n# scraper = Scraper(cookies={\"ct0\": ..., \"auth_token\": ...})\r\n\r\n## or, resume session using cookies (JSON file)\r\n# scraper = Scraper(cookies='twitter.cookies')\r\n\r\n## or, initialize guest session (limited endpoints)\r\n# from twitter.util import init_session\r\n# scraper = Scraper(session=init_session())\r\n\r\n# user data\r\nusers = scraper.users(['foo', 'bar', 'hello', 'world'])\r\nusers = scraper.users_by_ids([123, 234, 345]) # preferred\r\nusers = scraper.users_by_id([123, 234, 345])\r\ntweets = scraper.tweets([123, 234, 345])\r\nlikes = scraper.likes([123, 234, 345])\r\ntweets_and_replies = scraper.tweets_and_replies([123, 234, 345])\r\nmedia = scraper.media([123, 234, 345])\r\nfollowing = scraper.following([123, 234, 345])\r\nfollowers = scraper.followers([123, 234, 345])\r\nscraper.tweet_stats([111111, 222222, 333333])\r\n\r\n# get recommended users based on user\r\nscraper.recommended_users()\r\nscraper.recommended_users([123])\r\n\r\n# tweet data\r\ntweets = scraper.tweets_by_ids([987, 876, 754]) # preferred\r\ntweets = scraper.tweets_by_id([987, 876, 754])\r\ntweet_details = scraper.tweets_details([987, 876, 754])\r\nretweeters = scraper.retweeters([987, 876, 754])\r\nfavoriters = scraper.favoriters([987, 876, 754])\r\n\r\nscraper.download_media([\r\n 111111,\r\n 222222,\r\n 333333,\r\n 444444,\r\n])\r\n\r\n# trends\r\nscraper.trends()\r\n```\r\n\r\n#### Resume Pagination\r\n\r\n**Pagination is already done by default**, however there are circumstances where you may need to resume pagination from\r\na specific cursor. For example, the `Followers` endpoint only allows for 50 requests every 15 minutes. In this case, we\r\ncan resume from where we left off by providing a specific cursor value.\r\n\r\n```python\r\nfrom twitter.scraper import Scraper\r\n\r\nemail, username, password = ..., ..., ...\r\nscraper = Scraper(email, username, password)\r\n\r\nuser_id = 44196397\r\ncursor = '1767341853908517597|1663601806447476672' # example cursor\r\nlimit = 100 # arbitrary limit for demonstration\r\nfollower_subset, last_cursor = scraper.followers([user_id], limit=limit, cursor=cursor)\r\n\r\n# use last_cursor to resume pagination\r\n```\r\n\r\n#### Search\r\n\r\n\r\n\r\n```python \r\nfrom twitter.search import Search\r\n\r\nemail, username, password = ..., ..., ...\r\n# default output directory is `data/search_results` if save=True\r\nsearch = Search(email, username, password, save=True, debug=1)\r\n\r\nres = search.run(\r\n limit=37,\r\n retries=5,\r\n queries=[\r\n {\r\n 'category': 'Top',\r\n 'query': 'paperswithcode -tensorflow -tf'\r\n },\r\n {\r\n 'category': 'Latest',\r\n 'query': 'test'\r\n },\r\n {\r\n 'category': 'People',\r\n 'query': 'brasil portugal -argentina'\r\n },\r\n {\r\n 'category': 'Photos',\r\n 'query': 'greece'\r\n },\r\n {\r\n 'category': 'Videos',\r\n 'query': 'italy'\r\n },\r\n ],\r\n)\r\n```\r\n\r\n**Search Operators Reference**\r\n\r\nhttps://developer.twitter.com/en/docs/twitter-api/v1/rules-and-filtering/search-operators\r\n\r\nhttps://developer.twitter.com/en/docs/twitter-api/tweets/search/integrate/build-a-query\r\n\r\n### Spaces\r\n\r\n#### Live Audio Capture\r\n\r\nCapture live audio for up to 500 streams per IP\r\n\r\n\r\n\r\n```python\r\nfrom twitter.scraper import Scraper\r\nfrom twitter.util import init_session\r\n\r\nsession = init_session() # initialize guest session, no login required\r\nscraper = Scraper(session=session)\r\n\r\nrooms = [...]\r\nscraper.spaces_live(rooms=rooms) # capture live audio from list of rooms\r\n```\r\n\r\n#### Live Transcript Capture\r\n\r\n**Raw transcript chunks**\r\n\r\n\r\n\r\n```python\r\nfrom twitter.scraper import Scraper\r\nfrom twitter.util import init_session\r\n\r\nsession = init_session() # initialize guest session, no login required\r\nscraper = Scraper(session=session)\r\n\r\n# room must be live, i.e. in \"Running\" state\r\nscraper.space_live_transcript('1zqKVPlQNApJB',\r\n frequency=2) # word-level live transcript. (dirty, on-the-fly transcription before post-processing)\r\n```\r\n\r\n**Processed (final) transcript chunks**\r\n\r\n\r\n\r\n```python\r\nfrom twitter.scraper import Scraper\r\nfrom twitter.util import init_session\r\n\r\nsession = init_session() # initialize guest session, no login required\r\nscraper = Scraper(session=session)\r\n\r\n# room must be live, i.e. in \"Running\" state\r\nscraper.space_live_transcript('1zqKVPlQNApJB', frequency=1) # finalized live transcript. (clean)\r\n```\r\n\r\n#### Search and Metadata\r\n\r\n```python\r\nfrom twitter.scraper import Scraper\r\nfrom twitter.util import init_session\r\nfrom twitter.constants import SpaceCategory\r\n\r\nsession = init_session() # initialize guest session, no login required\r\nscraper = Scraper(session=session)\r\n\r\n# download audio and chat-log from space\r\nspaces = scraper.spaces(rooms=['1eaJbrAPnBVJX', '1eaJbrAlZjjJX'], audio=True, chat=True)\r\n\r\n# pull metadata only\r\nspaces = scraper.spaces(rooms=['1eaJbrAPnBVJX', '1eaJbrAlZjjJX'])\r\n\r\n# search for spaces in \"Upcoming\", \"Top\" and \"Live\" categories\r\nspaces = scraper.spaces(search=[\r\n {\r\n 'filter': SpaceCategory.Upcoming,\r\n 'query': 'hello'\r\n },\r\n {\r\n 'filter': SpaceCategory.Top,\r\n 'query': 'world'\r\n },\r\n {\r\n 'filter': SpaceCategory.Live,\r\n 'query': 'foo bar'\r\n }\r\n])\r\n```\r\n\r\n### Automated Solvers\r\n\r\n> This requires installation of the [proton-api-client](https://pypi.org/project/proton-api-client) package\r\n\r\nTo set up automated email confirmation/verification solvers, add your Proton Mail credentials below as shown.\r\nThis removes the need to manually solve email challenges via the web app. These credentials can be used\r\nin `Scraper`, `Account`, and `Search` constructors.\r\n\r\nE.g.\r\n\r\n```python\r\nfrom twitter.account import Account\r\nfrom twitter.util import get_code\r\nfrom proton.client import ProtonMail\r\n\r\nproton_username, proton_password = ..., ...\r\nproton = lambda: get_code(ProtonMail(proton_username, proton_password))\r\n\r\nemail, username, password = ..., ..., ...\r\naccount = Account(email, username, password, proton=proton)\r\n```\r\n\r\n### Example API Responses\r\n\r\n<details>\r\n<summary> UserTweetsAndReplies </summary>\r\n\r\n```json\r\n{\r\n \"entryId\": \"homeConversation-1648726807301218305-1648801924760711169-1648811419998228480\",\r\n \"sortIndex\": \"1648811419998228480\",\r\n \"content\": {\r\n \"entryType\": \"TimelineTimelineModule\",\r\n \"__typename\": \"TimelineTimelineModule\",\r\n \"items\": [\r\n {\r\n \"entryId\": \"homeConversation-1648811419998228480-0-tweet-1648726807301218305\",\r\n \"dispensable\": true,\r\n \"item\": {\r\n \"itemContent\": {\r\n \"itemType\": \"TimelineTweet\",\r\n \"__typename\": \"TimelineTweet\",\r\n \"tweet_results\": {\r\n \"result\": {\r\n \"__typename\": \"Tweet\",\r\n \"rest_id\": \"1648726807301218305\",\r\n \"has_birdwatch_notes\": false,\r\n \"core\": {\r\n \"user_results\": {\r\n \"result\": {\r\n \"__typename\": \"User\",\r\n \"id\": \"VXNlcjozMzgzNjYyOQ==\",\r\n \"rest_id\": \"33836629\",\r\n \"affiliates_highlighted_label\": {},\r\n \"has_graduated_access\": true,\r\n \"is_blue_verified\": true,\r\n \"profile_image_shape\": \"Circle\",\r\n \"legacy\": {\r\n \"can_dm\": false,\r\n \"can_media_tag\": true,\r\n \"created_at\": \"Tue Apr 21 06:49:15 +0000 2009\",\r\n \"default_profile\": false,\r\n \"default_profile_image\": false,\r\n \"description\": \"Building a kind of JARVIS @ O\u0440\u0435\u0578\u0391\u04cf. Previously Director of AI @ Tesla, CS231n, PhD @ Stanford. I like to train large deep neural nets \ud83e\udde0\ud83e\udd16\ud83d\udca5\",\r\n \"entities\": {\r\n \"description\": {\r\n \"urls\": []\r\n },\r\n \"url\": {\r\n \"urls\": [\r\n {\r\n \"display_url\": \"karpathy.ai\",\r\n \"expanded_url\": \"https://karpathy.ai\",\r\n \"url\": \"https://t.co/0EcFthjJXM\",\r\n \"indices\": [\r\n 0,\r\n 23\r\n ]\r\n }\r\n ]\r\n }\r\n },\r\n \"fast_followers_count\": 0,\r\n \"favourites_count\": 7312,\r\n \"followers_count\": 701921,\r\n \"friends_count\": 809,\r\n \"has_custom_timelines\": true,\r\n \"is_translator\": false,\r\n \"listed_count\": 9207,\r\n \"location\": \"Stanford\",\r\n \"media_count\": 633,\r\n \"name\": \"Andrej Karpathy\",\r\n \"normal_followers_count\": 701921,\r\n \"pinned_tweet_ids_str\": [\r\n \"1599152286672248832\"\r\n ],\r\n \"possibly_sensitive\": false,\r\n \"profile_banner_url\": \"https://pbs.twimg.com/profile_banners/33836629/1407117611\",\r\n \"profile_image_url_https\": 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We \u2764\ufe0f developers: https://t.co/vpoyxZ7XnD\",\r\n \"is_quote_status\": false,\r\n \"lang\": \"en\",\r\n \"possibly_sensitive\": false,\r\n \"possibly_sensitive_editable\": true,\r\n \"quote_count\": 796,\r\n \"reply_count\": 680,\r\n \"retweet_count\": 2771,\r\n \"retweeted\": false,\r\n \"user_id_str\": \"4398626122\",\r\n \"id_str\": \"1630992406542970880\"\r\n }\r\n }\r\n },\r\n \"legacy\": {\r\n \"created_at\": \"Wed Mar 01 18:40:07 +0000 2023\",\r\n \"conversation_id_str\": \"1631001385985773570\",\r\n \"display_text_range\": [\r\n 0,\r\n 16\r\n ],\r\n \"entities\": {\r\n \"user_mentions\": [],\r\n \"urls\": [],\r\n \"hashtags\": [],\r\n \"symbols\": []\r\n },\r\n \"favorite_count\": 121,\r\n \"favorited\": false,\r\n \"full_text\": \"now 10x cheaper!\",\r\n \"is_quote_status\": true,\r\n \"lang\": \"en\",\r\n \"quote_count\": 0,\r\n \"quoted_status_id_str\": \"1630992406542970880\",\r\n \"quoted_status_permalink\": {\r\n \"url\": \"https://t.co/6sGqTHvcZO\",\r\n \"expanded\": \"https://twitter.com/OpenAI/status/1630992406542970880\",\r\n \"display\": \"twitter.com/OpenAI/status/\u2026\"\r\n },\r\n \"reply_count\": 9,\r\n \"retweet_count\": 4,\r\n \"retweeted\": false,\r\n \"user_id_str\": \"1720046887\",\r\n \"id_str\": \"1631001385985773570\"\r\n },\r\n \"quick_promote_eligibility\": {\r\n \"eligibility\": \"IneligibleNotProfessional\"\r\n }\r\n }\r\n },\r\n \"tweetDisplayType\": \"Tweet\",\r\n \"hasModeratedReplies\": false\r\n }\r\n }\r\n}\r\n```\r\n\r\n</details>\r\n\r\n<details>\r\n<summary> Retweeters </summary>\r\n\r\n```json\r\n{\r\n \"entryId\": \"user-1616665185128943616\",\r\n \"sortIndex\": \"1759408456871158884\",\r\n \"content\": {\r\n \"entryType\": \"TimelineTimelineItem\",\r\n \"__typename\": \"TimelineTimelineItem\",\r\n \"itemContent\": {\r\n \"itemType\": \"TimelineUser\",\r\n \"__typename\": \"TimelineUser\",\r\n \"user_results\": {\r\n \"result\": {\r\n \"__typename\": \"User\",\r\n \"id\": \"VXNlcjoxNjE2NjY1MTg1MTI4OTQzNjE2\",\r\n \"rest_id\": \"1616665185128943616\",\r\n \"affiliates_highlighted_label\": {},\r\n \"has_graduated_access\": true,\r\n \"is_blue_verified\": false,\r\n \"legacy\": {\r\n \"can_dm\": true,\r\n \"can_media_tag\": true,\r\n \"created_at\": \"Sat Jan 21 05:13:27 +0000 2023\",\r\n \"default_profile\": true,\r\n \"default_profile_image\": false,\r\n \"description\": \"Aspiring finance and sales professional exploring new opportunities. Experienced in financial analysis, sales and marketing. Let's chat and explore!\",\r\n \"entities\": {\r\n \"description\": {\r\n \"urls\": []\r\n }\r\n },\r\n \"fast_followers_count\": 0,\r\n \"favourites_count\": 71588,\r\n \"followers_count\": 204,\r\n \"friends_count\": 183,\r\n \"has_custom_timelines\": true,\r\n \"is_translator\": false,\r\n \"listed_count\": 0,\r\n \"location\": \"\",\r\n \"media_count\": 25,\r\n \"name\": \"Manu\",\r\n \"normal_followers_count\": 204,\r\n \"pinned_tweet_ids_str\": [\r\n \"1648540783866159107\"\r\n ],\r\n \"possibly_sensitive\": false,\r\n \"profile_banner_url\": \"https://pbs.twimg.com/profile_banners/1616665185128943616/1678964735\",\r\n \"profile_image_url_https\": \"https://pbs.twimg.com/profile_images/1643923401449541633/XpYDjeU5_normal.jpg\",\r\n \"profile_interstitial_type\": \"\",\r\n \"screen_name\": \"guptam108\",\r\n \"statuses_count\": 73321,\r\n \"translator_type\": \"none\",\r\n \"verified\": false,\r\n \"want_retweets\": false,\r\n \"withheld_in_countries\": []\r\n },\r\n \"professional\": {\r\n \"rest_id\": \"1623903661746429952\",\r\n \"professional_type\": \"Business\",\r\n \"category\": [\r\n {\r\n \"id\": 477,\r\n \"name\": \"Professional Services\",\r\n \"icon_name\": \"IconBriefcaseStroke\"\r\n }\r\n ]\r\n },\r\n \"smart_blocked_by\": false,\r\n \"smart_blocking\": false,\r\n \"business_account\": {}\r\n }\r\n },\r\n \"userDisplayType\": \"User\"\r\n }\r\n }\r\n}\r\n```\r\n\r\n</details>\r\n\r\n<details>\r\n<summary> Favoriters </summary>\r\n\r\n```json\r\n{\r\n \"entryId\": \"user-806784335516815360\",\r\n \"sortIndex\": \"1761239071588090946\",\r\n \"content\": {\r\n \"entryType\": \"TimelineTimelineItem\",\r\n \"__typename\": \"TimelineTimelineItem\",\r\n \"itemContent\": {\r\n \"itemType\": \"TimelineUser\",\r\n \"__typename\": \"TimelineUser\",\r\n \"user_results\": {\r\n \"result\": {\r\n \"__typename\": \"User\",\r\n \"id\": \"VXNlcjo4MDY3ODQzMzU1MTY4MTUzNjA=\",\r\n \"rest_id\": \"806784335516815360\",\r\n \"affiliates_highlighted_label\": {},\r\n \"has_graduated_access\": true,\r\n \"is_blue_verified\": false,\r\n \"legacy\": {\r\n \"can_dm\": false,\r\n \"can_media_tag\": true,\r\n \"created_at\": \"Thu Dec 08 08:55:49 +0000 2016\",\r\n \"default_profile\": true,\r\n \"default_profile_image\": false,\r\n \"description\": \"OpenAI\u7814\u7a76\u6240\u306f\u3001ChatGPT\u3092\u306f\u3058\u3081\u3001\u81ea\u7136\u8a00\u8a9e\u30e2\u30c7\u30eb\u4f7f\u7528\u3057\u305fAI\u6280\u8853\u3092\u652f\u3048\u308bnVIDIA OMNIVERSE Solution\u306b\u3064\u3044\u3066\u7d39\u4ecb\u3057\u3066\u3044\u304d\u307e\u3059\u3002PyTorch\u306a\u3069\u306e\u6a5f\u68b0\u5b66\u7fd2\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u4f7f\u7528\u3057\u3066\u3001AI\u958b\u767a\u3092\u52a0\u901f\u3055\u305b\u3088\u3046\u3002AI\u5411\u3051GPU\u30ec\u30f3\u30bf\u30eb\u30b5\u30fc\u30d3\u30b9\u3092\u59cb\u3081\u307e\u3057\u305f\u3002\",\r\n \"entities\": {\r\n \"description\": {\r\n \"urls\": []\r\n },\r\n \"url\": {\r\n \"urls\": [\r\n {\r\n \"display_url\": \"openailab.jpn.org/item01.html\",\r\n \"expanded_url\": \"https://openailab.jpn.org/item01.html\",\r\n \"url\": \"https://t.co/qZwgygpGuU\",\r\n \"indices\": [\r\n 0,\r\n 23\r\n ]\r\n }\r\n ]\r\n }\r\n },\r\n \"fast_followers_count\": 0,\r\n \"favourites_count\": 5451,\r\n \"followers_count\": 2626,\r\n \"friends_count\": 1799,\r\n \"has_custom_timelines\": false,\r\n \"is_translator\": false,\r\n \"listed_count\": 60,\r\n \"location\": \"Osaka \",\r\n \"media_count\": 492,\r\n \"name\": \"OpenAI\u7814\u7a76\u6240\",\r\n \"normal_followers_count\": 2626,\r\n \"pinned_tweet_ids_str\": [\r\n \"1636354517536243712\"\r\n ],\r\n \"possibly_sensitive\": false,\r\n \"profile_banner_url\": \"https://pbs.twimg.com/profile_banners/806784335516815360/1678248940\",\r\n \"profile_image_url_https\": \"https://pbs.twimg.com/profile_images/1633320548154617856/EvQwkQ4w_normal.jpg\",\r\n \"profile_interstitial_type\": \"\",\r\n \"screen_name\": \"Miningdatalab\",\r\n \"statuses_count\": 1523,\r\n \"translator_type\": \"none\",\r\n \"url\": \"https://t.co/qZwgygpGuU\",\r\n \"verified\": false,\r\n \"want_retweets\": false,\r\n \"withheld_in_countries\": []\r\n },\r\n \"professional\": {\r\n \"rest_id\": \"1518871979172184065\",\r\n \"professional_type\": \"Business\",\r\n \"category\": [\r\n {\r\n \"id\": 713,\r\n \"name\": \"Science & Technology\",\r\n \"icon_name\": \"IconBriefcaseStroke\"\r\n }\r\n ]\r\n },\r\n \"smart_blocked_by\": false,\r\n \"smart_blocking\": false,\r\n \"business_account\": {}\r\n }\r\n },\r\n \"userDisplayType\": \"User\"\r\n }\r\n }\r\n}\r\n```\r\n\r\n</details>\r\n\r\n<details>\r\n<summary> Followers </summary>\r\n\r\n```json\r\n{\r\n \"entryId\": \"user-48008938\",\r\n \"sortIndex\": \"1648831380991246336\",\r\n \"content\": {\r\n \"entryType\": \"TimelineTimelineItem\",\r\n \"__typename\": \"TimelineTimelineItem\",\r\n \"itemContent\": {\r\n \"itemType\": \"TimelineUser\",\r\n \"__typename\": \"TimelineUser\",\r\n \"user_results\": {\r\n \"result\": {\r\n \"__typename\": \"User\",\r\n \"id\": \"VXNlcjo0ODAwODkzOA==\",\r\n \"rest_id\": \"48008938\",\r\n \"affiliates_highlighted_label\": {},\r\n \"has_graduated_access\": true,\r\n \"is_blue_verified\": false,\r\n \"legacy\": {\r\n \"can_dm\": false,\r\n \"can_media_tag\": true,\r\n \"created_at\": \"Wed Jun 17 16:05:51 +0000 2009\",\r\n \"default_profile\": true,\r\n \"default_profile_image\": false,\r\n \"description\": \"Professor at NYU. Chief AI Scientist at Meta.\\nResearcher in AI, Machine Learning, Robotics, etc.\\nACM Turing Award Laureate.\",\r\n \"entities\": {\r\n \"description\": {\r\n \"urls\": []\r\n },\r\n \"url\": {\r\n \"urls\": [\r\n {\r\n \"display_url\": \"yann.lecun.com\",\r\n \"expanded_url\": \"http://yann.lecun.com\",\r\n \"url\": \"https://t.co/POp7IBHfXy\",\r\n \"indices\": [\r\n 0,\r\n 23\r\n ]\r\n }\r\n ]\r\n }\r\n },\r\n \"fast_followers_count\": 0,\r\n \"favourites_count\": 13686,\r\n \"followers_count\": 482705,\r\n \"friends_count\": 607,\r\n \"has_custom_timelines\": true,\r\n \"is_translator\": false,\r\n \"listed_count\": 7505,\r\n \"location\": \"New York\",\r\n \"media_count\": 192,\r\n \"name\": \"Yann LeCun\",\r\n \"normal_followers_count\": 482705,\r\n \"pinned_tweet_ids_str\": [],\r\n \"possibly_sensitive\": false,\r\n \"profile_banner_url\": \"https://pbs.twimg.com/profile_banners/48008938/1642547502\",\r\n \"profile_image_url_https\": \"https://pbs.twimg.com/profile_images/1483577865056702469/rWA-3_T7_normal.jpg\",\r\n \"profile_interstitial_type\": \"\",\r\n \"screen_name\": \"ylecun\",\r\n \"statuses_count\": 13673,\r\n \"translator_type\": \"none\",\r\n \"url\": \"https://t.co/POp7IBHfXy\",\r\n \"verified\": false,\r\n \"want_retweets\": false,\r\n \"withheld_in_countries\": []\r\n },\r\n \"professional\": {\r\n \"rest_id\": \"1474385647339245576\",\r\n \"professional_type\": \"Creator\",\r\n \"category\": [\r\n {\r\n \"id\": 713,\r\n \"name\": \"Science & Technology\",\r\n \"icon_name\": \"IconBriefcaseStroke\"\r\n }\r\n ]\r\n },\r\n \"smart_blocked_by\": false,\r\n \"smart_blocking\": false,\r\n \"business_account\": {}\r\n }\r\n },\r\n \"userDisplayType\": \"User\"\r\n },\r\n \"clientEventInfo\": {\r\n \"component\": \"FollowersSgs\",\r\n \"element\": \"user\"\r\n }\r\n }\r\n}\r\n```\r\n\r\n</details>\r\n\r\n<details>\r\n<summary> Following </summary>\r\n\r\n```json\r\n{\r\n \"entryId\": \"user-48008938\",\r\n \"sortIndex\": \"1648831348527333376\",\r\n \"content\": {\r\n \"entryType\": \"TimelineTimelineItem\",\r\n \"__typename\": \"TimelineTimelineItem\",\r\n \"itemContent\": {\r\n \"itemType\": \"TimelineUser\",\r\n \"__typename\": \"TimelineUser\",\r\n \"user_results\": {\r\n \"result\": {\r\n \"__typename\": \"User\",\r\n \"id\": \"VXNlcjo0ODAwODkzOA==\",\r\n \"rest_id\": \"48008938\",\r\n \"affiliates_highlighted_label\": {},\r\n \"has_graduated_access\": true,\r\n \"is_blue_verified\": false,\r\n \"legacy\": {\r\n \"can_dm\": false,\r\n \"can_media_tag\": true,\r\n \"created_at\": \"Wed Jun 17 16:05:51 +0000 2009\",\r\n \"default_profile\": true,\r\n \"default_profile_image\": false,\r\n \"description\": \"Professor at NYU. Chief AI Scientist at Meta.\\nResearcher in AI, Machine Learning, Robotics, etc.\\nACM Turing Award Laureate.\",\r\n \"entities\": {\r\n \"description\": {\r\n \"urls\": []\r\n },\r\n \"url\": {\r\n \"urls\": [\r\n {\r\n \"display_url\": \"yann.lecun.com\",\r\n \"expanded_url\": \"http://yann.lecun.com\",\r\n \"url\": \"https://t.co/POp7IBHfXy\",\r\n \"indices\": [\r\n 0,\r\n 23\r\n ]\r\n }\r\n ]\r\n }\r\n },\r\n \"fast_followers_count\": 0,\r\n \"favourites_count\": 13686,\r\n \"followers_count\": 482705,\r\n \"friends_count\": 607,\r\n \"has_custom_timelines\": true,\r\n \"is_translator\": false,\r\n \"listed_count\": 7505,\r\n \"location\": \"New York\",\r\n \"media_count\": 192,\r\n \"name\": \"Yann LeCun\",\r\n \"normal_followers_count\": 482705,\r\n \"pinned_tweet_ids_str\": [],\r\n \"possibly_sensitive\": false,\r\n \"profile_banner_url\": \"https://pbs.twimg.com/profile_banners/48008938/1642547502\",\r\n \"profile_image_url_https\": \"https://pbs.twimg.com/profile_images/1483577865056702469/rWA-3_T7_normal.jpg\",\r\n \"profile_interstitial_type\": \"\",\r\n \"screen_name\": \"ylecun\",\r\n \"statuses_count\": 13673,\r\n \"translator_type\": \"none\",\r\n \"url\": \"https://t.co/POp7IBHfXy\",\r\n \"verified\": false,\r\n \"want_retweets\": false,\r\n \"withheld_in_countries\": []\r\n },\r\n \"professional\": {\r\n \"rest_id\": \"1474385647339245576\",\r\n \"professional_type\": \"Creator\",\r\n \"category\": [\r\n {\r\n \"id\": 713,\r\n \"name\": \"Science & Technology\",\r\n \"icon_name\": \"IconBriefcaseStroke\"\r\n }\r\n ]\r\n },\r\n \"smart_blocked_by\": false,\r\n \"smart_blocking\": false,\r\n \"business_account\": {}\r\n }\r\n },\r\n \"userDisplayType\": \"User\"\r\n },\r\n \"clientEventInfo\": {\r\n \"component\": \"FollowingSgs\",\r\n \"element\": \"user\"\r\n }\r\n }\r\n}\r\n```\r\n\r\n</details>\r\n\r\n<details>\r\n<summary> UsersByRestIds </summary>\r\n\r\n```json\r\n{\r\n \"data\": {\r\n \"users\": [\r\n {\r\n \"result\": {\r\n \"__typename\": \"User\",\r\n \"id\": \"VXNlcjoxNzIwMDQ2ODg3\",\r\n \"rest_id\": \"1720046887\",\r\n \"affiliates_highlighted_label\": {},\r\n \"has_graduated_access\": true,\r\n \"is_blue_verified\": false,\r\n \"profile_image_shape\": \"Circle\",\r\n \"legacy\": {\r\n \"can_dm\": false,\r\n \"can_media_tag\": true,\r\n \"created_at\": \"Sun Sep 01 19:32:15 +0000 2013\",\r\n \"default_profile\": false,\r\n \"default_profile_image\": false,\r\n \"description\": \"towards a plurality of humanity loving AGIs @openai\",\r\n \"entities\": {\r\n \"description\": {\r\n \"urls\": []\r\n }\r\n },\r\n \"fast_followers_count\": 0,\r\n \"favourites_count\": 4320,\r\n \"followers_count\": 168879,\r\n \"friends_count\": 2,\r\n \"has_custom_timelines\": true,\r\n \"is_translator\": false,\r\n \"listed_count\": 2777,\r\n \"location\": \"\",\r\n \"media_count\": 25,\r\n \"name\": \"Ilya Sutskever\",\r\n \"normal_followers_count\": 168879,\r\n \"pinned_tweet_ids_str\": [],\r\n \"possibly_sensitive\": false,\r\n \"profile_banner_url\": \"https://pbs.twimg.com/profile_banners/1720046887/1648404188\",\r\n \"profile_image_url_https\": \"https://pbs.twimg.com/profile_images/1548311632597553154/WYGE5NGW_normal.jpg\",\r\n \"profile_interstitial_type\": \"\",\r\n \"screen_name\": \"ilyasut\",\r\n \"statuses_count\": 1082,\r\n \"translator_type\": \"none\",\r\n \"verified\": false,\r\n \"want_retweets\": false,\r\n \"withheld_in_countries\": []\r\n },\r\n \"smart_blocked_by\": false,\r\n \"smart_blocking\": false\r\n }\r\n }\r\n ]\r\n }\r\n}\r\n```\r\n\r\n</details>\r\n\r\n<details>\r\n<summary> TweetStats (full response) </summary>\r\n\r\n```json\r\n{\r\n \"data\": {\r\n \"result\": {\r\n \"user\": {\r\n \"tweet_stats\": {\r\n \"tweet_frequency\": \"58\"\r\n }\r\n }\r\n }\r\n }\r\n}\r\n```\r\n\r\n</details>\r\n\r\n<details>\r\n<summary> TweetResultByRestId (full response) </summary>\r\n\r\n```json\r\n{\r\n \"data\": {\r\n \"tweetResult\": {\r\n \"result\": 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\"expanded\": \"https://twitter.com/OpenAI/status/1630992406542970880\",\r\n \"display\": \"twitter.com/OpenAI/status/\u2026\"\r\n },\r\n \"reply_count\": 9,\r\n \"retweet_count\": 4,\r\n \"retweeted\": false,\r\n \"user_id_str\": \"1720046887\",\r\n \"id_str\": \"1631001385985773570\"\r\n },\r\n \"quick_promote_eligibility\": {\r\n \"eligibility\": \"IneligibleNotProfessional\"\r\n }\r\n }\r\n }\r\n }\r\n}\r\n```\r\n\r\n</details>\r\n\r\n<details>\r\n<summary> UserByScreenName (full response) </summary>\r\n\r\n```json\r\n{\r\n \"data\": {\r\n \"user\": {\r\n \"result\": {\r\n \"__typename\": \"User\",\r\n \"id\": \"VXNlcjoxNzIwMDQ2ODg3\",\r\n \"rest_id\": \"1720046887\",\r\n \"affiliates_highlighted_label\": {},\r\n \"has_graduated_access\": true,\r\n \"is_blue_verified\": false,\r\n \"profile_image_shape\": \"Circle\",\r\n \"legacy\": {\r\n \"can_dm\": false,\r\n \"can_media_tag\": true,\r\n \"created_at\": \"Sun Sep 01 19:32:15 +0000 2013\",\r\n \"default_profile\": false,\r\n \"default_profile_image\": false,\r\n \"description\": \"towards a plurality of humanity loving AGIs @openai\",\r\n \"entities\": {\r\n \"description\": {\r\n \"urls\": []\r\n }\r\n },\r\n \"fast_followers_count\": 0,\r\n \"favourites_count\": 4320,\r\n \"followers_count\": 168867,\r\n \"friends_count\": 2,\r\n \"has_custom_timelines\": true,\r\n \"is_translator\": false,\r\n \"listed_count\": 2776,\r\n \"location\": \"\",\r\n \"media_count\": 25,\r\n \"name\": \"Ilya Sutskever\",\r\n \"normal_followers_count\": 168867,\r\n \"pinned_tweet_ids_str\": [],\r\n \"possibly_sensitive\": false,\r\n \"profile_banner_url\": \"https://pbs.twimg.com/profile_banners/1720046887/1648404188\",\r\n \"profile_image_url_https\": \"https://pbs.twimg.com/profile_images/1548311632597553154/WYGE5NGW_normal.jpg\",\r\n \"profile_interstitial_type\": \"\",\r\n \"screen_name\": \"ilyasut\",\r\n \"statuses_count\": 1082,\r\n \"translator_type\": \"none\",\r\n \"verified\": false,\r\n \"want_retweets\": false,\r\n \"withheld_in_countries\": []\r\n },\r\n \"smart_blocked_by\": false,\r\n \"smart_blocking\": false,\r\n \"legacy_extended_profile\": {},\r\n \"is_profile_translatable\": false,\r\n \"verification_info\": {},\r\n \"business_account\": {}\r\n }\r\n }\r\n }\r\n}\r\n```\r\n\r\n</details>\r\n\r\n\r\n<details>\r\n<summary> AudioSpaceById </summary>\r\n\r\n```json\r\n{\r\n \"data\": {\r\n \"audioSpace\": {\r\n \"metadata\": {\r\n \"rest_id\": \"1djGXlRNPjvGZ\",\r\n \"state\": \"Running\",\r\n \"title\": \"PIXEL PENGUINS A RUG?! \u2639\ufe0f\ud83d\ude14\",\r\n \"media_key\": \"28_1663623195335770113\",\r\n \"created_at\": 1685473652999,\r\n \"scheduled_start\": 1685491200000,\r\n \"started_at\": 1685491236660,\r\n \"replay_start_time\": 0,\r\n \"updated_at\": 1685495638487,\r\n \"disallow_join\": false,\r\n \"narrow_cast_space_type\": 0,\r\n \"is_employee_only\": false,\r\n \"is_locked\": false,\r\n \"is_space_available_for_replay\": true,\r\n \"is_space_available_for_clipping\": false,\r\n \"conversation_controls\": 0,\r\n \"total_replay_watched\": 0,\r\n \"total_live_listeners\": 4155,\r\n \"creator_results\": {\r\n \"result\": {\r\n \"__typename\": \"User\",\r\n \"id\": \"VXNlcjo0MzAyNTIwNDI=\",\r\n \"rest_id\": \"430252042\",\r\n \"affiliates_highlighted_label\": {},\r\n \"is_blue_verified\": false,\r\n \"profile_image_shape\": \"Circle\",\r\n \"legacy\": {\r\n \"created_at\": \"Tue Dec 06 23:12:25 +0000 2011\",\r\n \"default_profile\": true,\r\n \"default_profile_image\": false,\r\n \"description\": \"31 \ud83c\udde8\ud83c\uddf4\ud83c\uddec\ud83c\uddfa | | Orlando | | Web3 Biz Dev/Marketing | | Space Host| | @The_Daily_Alpha | | @citadalxyz | |\",\r\n \"entities\": {\r\n \"description\": {\r\n \"urls\": []\r\n },\r\n \"url\": {\r\n \"urls\": [\r\n {\r\n \"display_url\": \"youtube.com/channel/UCE94z\u2026\",\r\n \"expanded_url\": \"http://youtube.com/channel/UCE94zu5oVIkvZg0yMBueYbA\",\r\n \"url\": \"https://t.co/U2TeC8Fudk\",\r\n \"indices\": [\r\n 0,\r\n 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\"url\": {\r\n \"url\": \"https://twitter.com/BoredBox_\",\r\n \"urlType\": \"DeepLink\"\r\n },\r\n \"badge\": {\r\n \"url\": \"https://pbs.twimg.com/profile_images/1646934608196558849/ML64e9i3_bigger.png\"\r\n },\r\n \"description\": \"Bored Box\",\r\n \"userLabelType\": \"BusinessLabel\",\r\n \"userLabelDisplayType\": \"Badge\"\r\n }\r\n },\r\n \"has_nft_avatar\": false,\r\n \"is_blue_verified\": true,\r\n \"legacy\": {}\r\n }\r\n }\r\n },\r\n {\r\n \"periscope_user_id\": \"1xnQrqqoLdGEY\",\r\n \"start\": 1685493161000,\r\n \"twitter_screen_name\": \"greg16676935420\",\r\n \"display_name\": \"greg\",\r\n \"avatar_url\": \"https://pbs.twimg.com/profile_images/1581014308397502464/NPogKMyk_normal.jpg\",\r\n \"is_verified\": true,\r\n \"is_muted_by_admin\": false,\r\n \"is_muted_by_guest\": false,\r\n \"user_results\": {\r\n \"rest_id\": \"1356434353623093249\",\r\n \"result\": {\r\n \"__typename\": \"User\",\r\n \"identity_profile_labels_highlighted_label\": {},\r\n \"has_nft_avatar\": false,\r\n \"is_blue_verified\": true,\r\n \"legacy\": {}\r\n }\r\n }\r\n },\r\n {\r\n \"periscope_user_id\": \"1oNQlLXrndrQw\",\r\n \"twitter_screen_name\": \"zachxbt\",\r\n \"display_name\": \"ZachXBT\",\r\n \"avatar_url\": \"https://pbs.twimg.com/profile_images/1656044798090854429/2v6CCeiE_normal.jpg\",\r\n \"is_verified\": true,\r\n \"is_muted_by_admin\": false,\r\n \"is_muted_by_guest\": false,\r\n \"user_results\": {\r\n \"rest_id\": \"3012852462\",\r\n \"result\": {\r\n \"__typename\": \"User\",\r\n \"identity_profile_labels_highlighted_label\": {},\r\n \"has_nft_avatar\": false,\r\n \"is_blue_verified\": true,\r\n \"legacy\": {}\r\n }\r\n }\r\n }\r\n ]\r\n }\r\n }\r\n }\r\n}\r\n```\r\n\r\n</details>\r\n\r\n\r\n\r\n<details>\r\n<summary> AudioSpaceSearch </summary>\r\n\r\n```json\r\n{\r\n \"data\": {\r\n \"search_by_raw_query\": {\r\n \"audio_spaces_grouped_by_section\": {\r\n \"sections\": [\r\n {\r\n \"name\": \"Live\",\r\n \"items\": [\r\n {\r\n \"kind\": \"Audiospace\",\r\n \"followed_participants_results\": [],\r\n \"space\": {\r\n \"rest_id\": \"1MYGNgPoldnJw\"\r\n }\r\n },\r\n {\r\n \"kind\": \"Audiospace\",\r\n \"followed_participants_results\": [],\r\n \"space\": {\r\n \"rest_id\": \"1YqGoAdvOjbxv\"\r\n }\r\n },\r\n {\r\n \"kind\": \"Audiospace\",\r\n \"followed_participants_results\": [],\r\n \"space\": {\r\n \"rest_id\": \"1OwGWwdNlmpGQ\"\r\n }\r\n }\r\n ],\r\n \"destination\": \"Live\"\r\n }\r\n ]\r\n }\r\n }\r\n }\r\n}\r\n```\r\n\r\n</details>\r\n",
"bugtrack_url": null,
"license": null,
"summary": "Implementation of X/Twitter v1, v2, and GraphQL APIs.",
"version": "1.2.2",
"project_urls": {
"Homepage": "https://github.com/yanjlee/twitter-api-client"
},
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