listenbrainz-export


Namelistenbrainz-export JSON
Version 0.2.1 PyPI version JSON
download
home_pagehttps://github.com/seanbreckenridge/listenbrainz_export
SummaryExport your scrobbling history form ListenBrainz
upload_time2023-08-10 15:18:33
maintainer
docs_urlNone
authorSean Breckenridge
requires_python
licenseMIT
keywords music scrobble data
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # listenbrainz_export

Export your scrobbling history form [ListenBrainz](https://listenbrainz.org/). ListenBrainz is a public/open-source alternative to RateYourMusic

Since the data is public, no API key/Authentication is required.

## Installation

Requires `python3.7+`

To install with pip, run:

    pip install git+https://github.com/seanbreckenridge/listenbrainz_export

## Usage

Provide your listenbrainz username -- prints results to STDOUT

```
listenbrainz_export export seanbreckenridge > ./data.json
```

Can also only request a few pages:

```
listenbrainz_export export seanbreckenridge --pages 3
```

Or can request only recent listens:

```
listenbrainz_export export seanbreckenridge --days 30
```


[`listenbrainz_export.parse`](./listenbrainz_export/parse.py) includes a model of the data and some functions to parse them into python objects, like:

```python
>>> from listenbrainz_export.parse import iter_listens
>>> listens = list(iter_listens("data.json"))
>>> listens[12]
Listen(track_name='Skate', artist_name='Bruno Mars, Anderson .Paak & Silk Sonic', listened_at=datetime.datetime(2021, 11, 6, 19, 10, 49), inserted_at=datetime.datetime(2021, 11, 7, 2, 12, 31), recording_id='e60b9417-acfe-4796-a048-76208fb4a9ad', release_name='Skate - Single', metadata={'artist_msid': 'df6f6937-5de3-4e3c-bd74-1991ed92abd5', 'recording_msid': 'e60b9417-acfe-4796-a048-76208fb4a9ad', 'release_msid': 'dcf6d703-1e95-4e9c-8218-bb7c3b3bfa0b'}, username='seanbreckenridge')
```

I use this almost exclusively through my [HPI](https://github.com/seanbreckenridge/HPI); that locates my exports on disks and removes any duplicate scrobbles

This also includes a `playing-now` command, which prints the currently playing track, if any:

```
listenbrainz_export playing-now seanbreckenridge
```

That returns a JSON list, since you can have multiple songs playing at the same time).

The return code is 0 if there is a song playing, 1 if there is no song playing.

### Tests

```bash
git clone 'https://github.com/seanbreckenridge/listenbrainz_export'
cd ./listenbrainz_export
pip install '.[testing]'
mypy ./listenbrainz_export
flake8 ./listenbrainz_export
```

            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/seanbreckenridge/listenbrainz_export",
    "name": "listenbrainz-export",
    "maintainer": "",
    "docs_url": null,
    "requires_python": "",
    "maintainer_email": "",
    "keywords": "music scrobble data",
    "author": "Sean Breckenridge",
    "author_email": "seanbrecke@gmail.com",
    "download_url": "https://files.pythonhosted.org/packages/64/c9/1af11c2ef367f6dbe689611d1a707edc713f57abd3490b88d74733a69b63/listenbrainz_export-0.2.1.tar.gz",
    "platform": null,
    "description": "# listenbrainz_export\n\nExport your scrobbling history form [ListenBrainz](https://listenbrainz.org/). ListenBrainz is a public/open-source alternative to RateYourMusic\n\nSince the data is public, no API key/Authentication is required.\n\n## Installation\n\nRequires `python3.7+`\n\nTo install with pip, run:\n\n    pip install git+https://github.com/seanbreckenridge/listenbrainz_export\n\n## Usage\n\nProvide your listenbrainz username -- prints results to STDOUT\n\n```\nlistenbrainz_export export seanbreckenridge > ./data.json\n```\n\nCan also only request a few pages:\n\n```\nlistenbrainz_export export seanbreckenridge --pages 3\n```\n\nOr can request only recent listens:\n\n```\nlistenbrainz_export export seanbreckenridge --days 30\n```\n\n\n[`listenbrainz_export.parse`](./listenbrainz_export/parse.py) includes a model of the data and some functions to parse them into python objects, like:\n\n```python\n>>> from listenbrainz_export.parse import iter_listens\n>>> listens = list(iter_listens(\"data.json\"))\n>>> listens[12]\nListen(track_name='Skate', artist_name='Bruno Mars, Anderson .Paak & Silk Sonic', listened_at=datetime.datetime(2021, 11, 6, 19, 10, 49), inserted_at=datetime.datetime(2021, 11, 7, 2, 12, 31), recording_id='e60b9417-acfe-4796-a048-76208fb4a9ad', release_name='Skate - Single', metadata={'artist_msid': 'df6f6937-5de3-4e3c-bd74-1991ed92abd5', 'recording_msid': 'e60b9417-acfe-4796-a048-76208fb4a9ad', 'release_msid': 'dcf6d703-1e95-4e9c-8218-bb7c3b3bfa0b'}, username='seanbreckenridge')\n```\n\nI use this almost exclusively through my [HPI](https://github.com/seanbreckenridge/HPI); that locates my exports on disks and removes any duplicate scrobbles\n\nThis also includes a `playing-now` command, which prints the currently playing track, if any:\n\n```\nlistenbrainz_export playing-now seanbreckenridge\n```\n\nThat returns a JSON list, since you can have multiple songs playing at the same time).\n\nThe return code is 0 if there is a song playing, 1 if there is no song playing.\n\n### Tests\n\n```bash\ngit clone 'https://github.com/seanbreckenridge/listenbrainz_export'\ncd ./listenbrainz_export\npip install '.[testing]'\nmypy ./listenbrainz_export\nflake8 ./listenbrainz_export\n```\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "Export your scrobbling history form ListenBrainz",
    "version": "0.2.1",
    "project_urls": {
        "Homepage": "https://github.com/seanbreckenridge/listenbrainz_export"
    },
    "split_keywords": [
        "music",
        "scrobble",
        "data"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "993897f4b099988eaf12c6433cbb385fb0c03660cec4b3c4a728b4163432cc29",
                "md5": "28492cd91998584c678dac2072108a20",
                "sha256": "d615435e2249ec35fb04a2a72b04577d07ee3f5afe5c797b31ffc5dedee2eadc"
            },
            "downloads": -1,
            "filename": "listenbrainz_export-0.2.1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "28492cd91998584c678dac2072108a20",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 6734,
            "upload_time": "2023-08-10T15:18:32",
            "upload_time_iso_8601": "2023-08-10T15:18:32.127489Z",
            "url": "https://files.pythonhosted.org/packages/99/38/97f4b099988eaf12c6433cbb385fb0c03660cec4b3c4a728b4163432cc29/listenbrainz_export-0.2.1-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "64c91af11c2ef367f6dbe689611d1a707edc713f57abd3490b88d74733a69b63",
                "md5": "11cb26eedabc3ebebaa0d2b7ee9b845e",
                "sha256": "fb7d67f8ebc1fa84554bde459ee99117f80dd153c24b52e4ba895673916b8b08"
            },
            "downloads": -1,
            "filename": "listenbrainz_export-0.2.1.tar.gz",
            "has_sig": false,
            "md5_digest": "11cb26eedabc3ebebaa0d2b7ee9b845e",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 5833,
            "upload_time": "2023-08-10T15:18:33",
            "upload_time_iso_8601": "2023-08-10T15:18:33.771254Z",
            "url": "https://files.pythonhosted.org/packages/64/c9/1af11c2ef367f6dbe689611d1a707edc713f57abd3490b88d74733a69b63/listenbrainz_export-0.2.1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-08-10 15:18:33",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "seanbreckenridge",
    "github_project": "listenbrainz_export",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "requirements": [],
    "lcname": "listenbrainz-export"
}
        
Elapsed time: 0.31475s