| Name | pyzill JSON |
| Version |
1.0.0
JSON |
| download |
| home_page | None |
| Summary | Zillow scraper in Python |
| upload_time | 2024-12-01 23:42:49 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | None |
| license | MIT |
| keywords |
zillow
scraper
crawler
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# Zillow scraper in Python
## Overview
This project is an open-source tool developed in Python for extracting product information from Zillow. It's designed to be easy to use, making it an ideal solution for developers looking for Zillow product data.
## Features
- Full search support
- Extracts detailed product information from Zillow
- Implemented in Python just because it's popular
- Easy to integrate with existing Python projects
### Important
- Use rotating residential proxies, zillow will block if you make multiple requests with the same IP,
### Install
```bash
$ pip install pyzill
```
## Examples
```Python
import pyzill
import json
ne_lat = 38.602951833355434
ne_long = -87.22283859375
sw_lat = 23.42674607019482
sw_long = -112.93084640625
pagination = 1
#pagination is for the list that you see at the right when searching
#you don't need to iterate over all the pages because zillow sends the whole data on mapresults at once on the first page
#however the maximum result zillow returns is 500, so if mapResults is 500
#try playing with the zoom or moving the coordinates, pagination won't help because you will always get at maximum 500 results
pagination = 1
proxy_url = pyzill.parse_proxy("[proxy_ip or proxy_domain]","[proxy_port]","[proxy_username]","[proxy_password]")
results_sold = pyzill.sold(pagination,
search_value="miami",
min_beds=1,max_beds=1,
min_bathrooms=None,max_bathrooms=None,
min_price=10000,max_price=None,
ne_lat=ne_lat,ne_long=ne_long,sw_lat=sw_lat,sw_long=sw_long,
zoom_value=5,
proxy_url=proxy_url)
results_sale = pyzill.for_sale(pagination,
search_value="",
min_beds=None,max_beds=None,
min_bathrooms=3,max_bathrooms=None,
min_price=None,max_price=None,
ne_lat=ne_lat,ne_long=ne_long,sw_lat=sw_lat,sw_long=sw_long,
zoom_value=10,
proxy_url=proxy_url)
results_rent = pyzill.for_rent(pagination,
search_value="",
min_beds=1,max_beds=None,
min_bathrooms=None,max_bathrooms=None,
min_price=10000,max_price=None,
ne_lat=ne_lat,ne_long=ne_long,sw_lat=sw_lat,sw_long=sw_long,
zoom_value=15,
proxy_url=proxy_url)
jsondata_sold = json.dumps(results_sold)
jsondata_sale = json.dumps(results_sale)
jsondata_rent = json.dumps(results_rent)
f = open("./jsondata_sold.json", "w")
f.write(jsondata_sold)
f.close()
f = open("./jsondata_sale.json", "w")
f.write(jsondata_sale)
f.close()
f = open("./jsondata_rent.json", "w")
f.write(jsondata_rent)
f.close()
```
# For homes
```Python
import pyzill
import json
property_url="https://www.zillow.com/homedetails/858-Shady-Grove-Ln-Harrah-OK-73045/339897685_zpid/"
proxy_url = pyzill.parse_proxy("[proxy_ip or proxy_domain]","[proxy_port]","[proxy_username]","[proxy_password]")
data = pyzill.get_from_home_url(property_url,proxy_url)
jsondata = json.dumps(data)
f = open("details.json", "w")
f.write(jsondata)
f.close()
```
```Python
import pyzill
import json
property_id=2056016566
proxy_url = pyzill.parse_proxy("[proxy_ip or proxy_domain]","[proxy_port]","[proxy_username]","[proxy_password]")
data = pyzill.get_from_home_id(property_id,proxy_url)
jsondata = json.dumps(data)
f = open("details.json", "w")
f.write(jsondata)
f.close()
```
# For departments
```Python
import pyzill
import json
property_url="https://www.zillow.com/apartments/kissimmee-fl/the-nexus-at-overbrook/9DSWrh/"
proxy_url = pyzill.parse_proxy("[proxy_ip or proxy_domain]","[proxy_port]","[proxy_username]","[proxy_password]")
data = pyzill.get_from_deparment_url(property_url,proxy_url)
jsondata = json.dumps(data)
f = open("details.json", "w")
f.write(jsondata)
f.close()
```
```Python
import pyzill
import json
property_id="CgKZT4"
proxy_url = pyzill.parse_proxy("[proxy_ip or proxy_domain]","[proxy_port]","[proxy_username]","[proxy_password]")
data = pyzill.get_from_deparment_id(property_id,proxy_url)
jsondata = json.dumps(data)
f = open("details.json", "w")
f.write(jsondata)
f.close()
```
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"description": "# Zillow scraper in Python\r\n\r\n## Overview\r\nThis project is an open-source tool developed in Python for extracting product information from Zillow. It's designed to be easy to use, making it an ideal solution for developers looking for Zillow product data.\r\n\r\n## Features\r\n- Full search support\r\n- Extracts detailed product information from Zillow\r\n- Implemented in Python just because it's popular\r\n- Easy to integrate with existing Python projects\r\n\r\n### Important\r\n- Use rotating residential proxies, zillow will block if you make multiple requests with the same IP, \r\n\r\n### Install\r\n\r\n```bash\r\n$ pip install pyzill\r\n```\r\n## Examples\r\n\r\n```Python\r\nimport pyzill\r\nimport json\r\nne_lat = 38.602951833355434\r\nne_long = -87.22283859375\r\nsw_lat = 23.42674607019482\r\nsw_long = -112.93084640625\r\npagination = 1\r\n#pagination is for the list that you see at the right when searching\r\n#you don't need to iterate over all the pages because zillow sends the whole data on mapresults at once on the first page\r\n#however the maximum result zillow returns is 500, so if mapResults is 500\r\n#try playing with the zoom or moving the coordinates, pagination won't help because you will always get at maximum 500 results\r\npagination = 1\r\nproxy_url = pyzill.parse_proxy(\"[proxy_ip or proxy_domain]\",\"[proxy_port]\",\"[proxy_username]\",\"[proxy_password]\")\r\nresults_sold = pyzill.sold(pagination, \r\n search_value=\"miami\",\r\n min_beds=1,max_beds=1,\r\n min_bathrooms=None,max_bathrooms=None,\r\n min_price=10000,max_price=None,\r\n ne_lat=ne_lat,ne_long=ne_long,sw_lat=sw_lat,sw_long=sw_long,\r\n zoom_value=5,\r\n proxy_url=proxy_url)\r\n \r\nresults_sale = pyzill.for_sale(pagination, \r\n search_value=\"\",\r\n min_beds=None,max_beds=None,\r\n min_bathrooms=3,max_bathrooms=None,\r\n min_price=None,max_price=None,\r\n ne_lat=ne_lat,ne_long=ne_long,sw_lat=sw_lat,sw_long=sw_long,\r\n zoom_value=10,\r\n proxy_url=proxy_url)\r\n\r\nresults_rent = pyzill.for_rent(pagination, \r\n search_value=\"\",\r\n min_beds=1,max_beds=None,\r\n min_bathrooms=None,max_bathrooms=None,\r\n min_price=10000,max_price=None,\r\n ne_lat=ne_lat,ne_long=ne_long,sw_lat=sw_lat,sw_long=sw_long,\r\n zoom_value=15,\r\n proxy_url=proxy_url)\r\njsondata_sold = json.dumps(results_sold)\r\njsondata_sale = json.dumps(results_sale)\r\njsondata_rent = json.dumps(results_rent)\r\nf = open(\"./jsondata_sold.json\", \"w\")\r\nf.write(jsondata_sold)\r\nf.close()\r\nf = open(\"./jsondata_sale.json\", \"w\")\r\nf.write(jsondata_sale)\r\nf.close()\r\nf = open(\"./jsondata_rent.json\", \"w\")\r\nf.write(jsondata_rent)\r\nf.close()\r\n```\r\n# For homes\r\n\r\n```Python\r\nimport pyzill\r\nimport json\r\nproperty_url=\"https://www.zillow.com/homedetails/858-Shady-Grove-Ln-Harrah-OK-73045/339897685_zpid/\"\r\nproxy_url = pyzill.parse_proxy(\"[proxy_ip or proxy_domain]\",\"[proxy_port]\",\"[proxy_username]\",\"[proxy_password]\")\r\ndata = pyzill.get_from_home_url(property_url,proxy_url)\r\njsondata = json.dumps(data)\r\nf = open(\"details.json\", \"w\")\r\nf.write(jsondata)\r\nf.close()\r\n```\r\n\r\n```Python\r\nimport pyzill\r\nimport json\r\nproperty_id=2056016566\r\nproxy_url = pyzill.parse_proxy(\"[proxy_ip or proxy_domain]\",\"[proxy_port]\",\"[proxy_username]\",\"[proxy_password]\")\r\ndata = pyzill.get_from_home_id(property_id,proxy_url)\r\njsondata = json.dumps(data)\r\nf = open(\"details.json\", \"w\")\r\nf.write(jsondata)\r\nf.close()\r\n```\r\n\r\n# For departments\r\n\r\n```Python\r\nimport pyzill\r\nimport json\r\nproperty_url=\"https://www.zillow.com/apartments/kissimmee-fl/the-nexus-at-overbrook/9DSWrh/\"\r\nproxy_url = pyzill.parse_proxy(\"[proxy_ip or proxy_domain]\",\"[proxy_port]\",\"[proxy_username]\",\"[proxy_password]\")\r\ndata = pyzill.get_from_deparment_url(property_url,proxy_url)\r\njsondata = json.dumps(data)\r\nf = open(\"details.json\", \"w\")\r\nf.write(jsondata)\r\nf.close()\r\n```\r\n\r\n```Python\r\nimport pyzill\r\nimport json\r\nproperty_id=\"CgKZT4\"\r\nproxy_url = pyzill.parse_proxy(\"[proxy_ip or proxy_domain]\",\"[proxy_port]\",\"[proxy_username]\",\"[proxy_password]\")\r\ndata = pyzill.get_from_deparment_id(property_id,proxy_url)\r\njsondata = json.dumps(data)\r\nf = open(\"details.json\", \"w\")\r\nf.write(jsondata)\r\nf.close()\r\n```\r\n",
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