# linkedin-analytics-to-sqlite
Parse the LinkedIn analytics exports into a Sqlite DB.
There's not a great API for getting analytics on a personal account on LinkedIn.
There is, however, an ability to download an Excel spreadsheet of your
post statistics from the [Content Analytics Page](https://www.linkedin.com/analytics/creator/content/).
## Install
```console
me@home:~$ pip install linkedin-analytics-to-sqlite
```
## Usage
```console
me@home:~$ linkedin-analytics-to-sqlite process Content_StartDate_EndDate_ProfileName.xlsx
me@home:~$ datasette serve linkedin_analytics.db
```
Raw data
{
"_id": null,
"home_page": "https://github.com/phildini/linkedin-analytics-to-sqlite",
"name": "linkedin-analytics-to-sqlite",
"maintainer": null,
"docs_url": null,
"requires_python": "<4.0,>=3.11",
"maintainer_email": null,
"keywords": "linkedin, analytics, sqlite",
"author": "Philip James",
"author_email": "phildini@phildini.net",
"download_url": "https://files.pythonhosted.org/packages/e1/b3/8077b2db77f8553869eafd0db8362ed64e591d55ed086a824de7a71df60f/linkedin_analytics_to_sqlite-0.0.2.tar.gz",
"platform": null,
"description": "# linkedin-analytics-to-sqlite\n\nParse the LinkedIn analytics exports into a Sqlite DB.\n\nThere's not a great API for getting analytics on a personal account on LinkedIn.\nThere is, however, an ability to download an Excel spreadsheet of your\npost statistics from the [Content Analytics Page](https://www.linkedin.com/analytics/creator/content/).\n\n## Install\n\n```console\nme@home:~$ pip install linkedin-analytics-to-sqlite\n```\n\n## Usage\n\n```console\nme@home:~$ linkedin-analytics-to-sqlite process Content_StartDate_EndDate_ProfileName.xlsx\nme@home:~$ datasette serve linkedin_analytics.db\n```\n\n",
"bugtrack_url": null,
"license": "Apache 2.0",
"summary": "Parse the LinkedIn analytics exports into a Sqlite DB",
"version": "0.0.2",
"project_urls": {
"Homepage": "https://github.com/phildini/linkedin-analytics-to-sqlite",
"Repository": "https://github.com/phildini/linkedin-analytics-to-sqlite"
},
"split_keywords": [
"linkedin",
" analytics",
" sqlite"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "f6ec6b504059411d9e00a4f1e2baa63f4297e85d50313be2e6e5e08773901086",
"md5": "cd0883c34027ff83ff7d78fc3cfbcc08",
"sha256": "80f9171368efc670f9c111df4b715ac61859cedc6a1f31cb0e1c2c2a6d55bd8f"
},
"downloads": -1,
"filename": "linkedin_analytics_to_sqlite-0.0.2-py3-none-any.whl",
"has_sig": false,
"md5_digest": "cd0883c34027ff83ff7d78fc3cfbcc08",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": "<4.0,>=3.11",
"size": 7485,
"upload_time": "2024-05-24T05:38:07",
"upload_time_iso_8601": "2024-05-24T05:38:07.601118Z",
"url": "https://files.pythonhosted.org/packages/f6/ec/6b504059411d9e00a4f1e2baa63f4297e85d50313be2e6e5e08773901086/linkedin_analytics_to_sqlite-0.0.2-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "e1b38077b2db77f8553869eafd0db8362ed64e591d55ed086a824de7a71df60f",
"md5": "9f833535ea3daef0b6b1c7b419bd6133",
"sha256": "6ecf85b23e65a7ab04d73cd638c38fc15ee351b19f26536083f140c0e7820c1e"
},
"downloads": -1,
"filename": "linkedin_analytics_to_sqlite-0.0.2.tar.gz",
"has_sig": false,
"md5_digest": "9f833535ea3daef0b6b1c7b419bd6133",
"packagetype": "sdist",
"python_version": "source",
"requires_python": "<4.0,>=3.11",
"size": 6428,
"upload_time": "2024-05-24T05:38:09",
"upload_time_iso_8601": "2024-05-24T05:38:09.296795Z",
"url": "https://files.pythonhosted.org/packages/e1/b3/8077b2db77f8553869eafd0db8362ed64e591d55ed086a824de7a71df60f/linkedin_analytics_to_sqlite-0.0.2.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-05-24 05:38:09",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "phildini",
"github_project": "linkedin-analytics-to-sqlite",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"lcname": "linkedin-analytics-to-sqlite"
}