Metadata-Version: 2.1
Name: linkedin-analytics-to-sqlite
Version: 0.0.2
Summary: Parse the LinkedIn analytics exports into a Sqlite DB
Home-page: https://github.com/phildini/linkedin-analytics-to-sqlite
License: Apache 2.0
Keywords: linkedin,analytics,sqlite
Author: Philip James
Author-email: phildini@phildini.net
Requires-Python: >=3.11,<4.0
Classifier: License :: Other/Proprietary License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Dist: click (>=8.1.7,<9.0.0)
Requires-Dist: openpyxl (>=3.1.2,<4.0.0)
Requires-Dist: python-dateutil (>=2.9.0.post0,<3.0.0)
Requires-Dist: sqlite-utils (>=3.36,<4.0)
Project-URL: Repository, https://github.com/phildini/linkedin-analytics-to-sqlite
Description-Content-Type: text/markdown

# 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
```


