https://github.com/inquilabee/LinkedinPy
Automate your LinkedIn workflow using Python.
https://github.com/inquilabee/LinkedinPy
automation browser-authentication linkedin linkedin-automation linkedin-scraper python-linkedin selenium-python
Last synced: 3 months ago
JSON representation
Automate your LinkedIn workflow using Python.
- Host: GitHub
- URL: https://github.com/inquilabee/LinkedinPy
- Owner: inquilabee
- License: mit
- Created: 2021-06-21T16:55:28.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2023-10-11T15:52:40.000Z (about 2 years ago)
- Last Synced: 2025-06-25T21:24:35.497Z (4 months ago)
- Topics: automation, browser-authentication, linkedin, linkedin-automation, linkedin-scraper, python-linkedin, selenium-python
- Language: Python
- Homepage: https://pypi.org/project/autolinkedin/
- Size: 441 KB
- Stars: 18
- Watchers: 3
- Forks: 7
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# AutoLinkedIn
Elevate your LinkedIn game with **AutoLinkedIn**, a Python package designed for automating routine LinkedIn tasks. Whether you want to connect with specific users, manage connection requests, or optimize your LinkedIn networking, this package has you covered.
### Key Features
- **Login to LinkedIn**: Seamlessly access your LinkedIn account.
- **Send Connection Requests**: Customize your connection requests by filtering users based on mutual connections, user types, and more.
- **Accept Connection Requests**: Simplify the process of accepting incoming connection requests.
- **Delete/Withdraw Sent Requests**: Keep your connection list clean by removing outdated sent requests.
- **Smart Follow-Unfollow**: Automatically manage connections, delete aged requests, and maximize your daily interactions within LinkedIn's limits.
- **Background Mode**: Run all tasks in the background mode without interfering with your regular work.
- **Search**: Search for people.
### Getting Started
To get started with **AutoLinkedIn**, first, install the package from PyPi using the following command:
```bash
pip install autolinkedin
```
Next, you can run and test the package by creating a script similar to `autolinkedin/scripts/sample_script.py`. Start by running your script with `headless=False` to ensure everything works as expected. Once you're confident, switch to `headless=True` to run your script in the background.
Here's a simplified example of running **AutoLinkedIn**:
```python
from autolinkedin.linkedin import LinkedIn
with LinkedIn(
username="",
password="",
browser="",
headless="",
) as ln:
# Perform LinkedIn actions here
ln.withdraw_sent_invitations(older_than_days=14)
last_week_invitations = ln.count_invitations_sent_last_week()
ln.send_invitations(
max_invitations=max(ln.WEEKLY_MAX_INVITATION - last_week_invitations, 0),
min_mutual=10,
max_mutual=450,
preferred_users=["Quant", "Software"], # file_path or list of features
not_preferred_users=["Sportsman", "Doctor"], # file_path or list of features
view_profile=True, # (recommended) view profile of users you sent connection requests to
)
ln.accept_invitations()
# Customize your actions as needed
# ...
# Alternatively, use the smart follow-unfollow method for a streamlined approach
ln.smart_follow_unfollow(
min_mutual=0,
max_mutual=500,
withdraw_invite_older_than_days=14,
max_invitations_to_send=0,
users_preferred=["Quant"], # file_path or list of features
users_not_preferred=["Sportsman"], # file_path or list of features
remove_recommendations=True, # remove recommendations which do not match criteria
)
# Additional method
ln.remove_recommendations(min_mutual=10, max_mutual=500)
# Search for people
ln.search_people("Microsoft Recruiter")
```
### Command Line Usage
**AutoLinkedIn** provides a convenient command-line interface for easy interaction. You can execute tasks directly from the command line with options like:
```bash
python -m autolinkedin -h
```
This command will display a list of available options, allowing you to configure and execute LinkedIn tasks without writing scripts.
```bash
> python -m autolinkedin -h
usage: autolinkedin [-h] [--env ENV] [--email EMAIL] [--password PASSWORD] [--browser BROWSER] [--headless] [--maxinvite MAXINVITE] [--minmutual MINMUTUAL] [--maxmutual MAXMUTUAL] [--withdrawdays WITHDRAWDAYS]
[--preferred PREFERRED] [--notpreferred NOTPREFERRED] [--cronfile CRONFILE] [--cronuser CRONUSER] [--rmcron | --no-rmcron] [--cronhour CRONHOUR]
options:
-h, --help show this help message and exit
--env ENV Linkedin environment file
--email EMAIL Email of LinkedIn user
--password PASSWORD Password of LinkedIn user
--browser BROWSER Browser used for LinkedIn
--headless Whether to run headless (i.e. without the browser visible in the front.)
--maxinvite MAXINVITE
Maximum number of invitations to send
--minmutual MINMUTUAL
Minimum number of mutual connections required.
--maxmutual MAXMUTUAL
Maximum number of mutual connections required.
--withdrawdays WITHDRAWDAYS
Withdraw invites older than this many days
--preferred PREFERRED
Path to file containing preferred users characteristics
--notpreferred NOTPREFERRED
Path to file containing characteristics of not preferred users
--cronfile CRONFILE Path to cronfile
--cronuser CRONUSER Name of user setting cron on the machine (needed by most OS)
--rmcron, --no-rmcron
Whether to remove existing crons.
--cronhour CRONHOUR hour of the day you want to set cron for each day.
```
### Setting Up Cron Jobs
To schedule recurring tasks, you can set up cron jobs using **AutoLinkedIn**. Here's how:
1. Start with the following commands. (Use `example.env` as a reference while setting `.env` values)
```bash
python -m autolinkedin --env .env
```
2. You can supply `--rmcron` to remove existing cron jobs:
```bash
python -m autolinkedin --rmcron --cronuser osuser
```
3. To create a new cron job, specify the desired settings:
```bash
python -m autolinkedin --cronfile .cron.env --cronuser osuser --cronhour 23
```
These cron jobs enable you to automate your LinkedIn tasks at specific times, enhancing your networking efficiency.
### Extras
**AutoLinkedIn** heavily relies on another package I authored named [SeleniumTabs](https://github.com/inquilabee/selenium-tabs). Feel free to explore that package for additional functionality.
### example.env
```bash
LINKEDIN_USER=
LINKEDIN_PASSWORD=
LINKEDIN_BROWSER=Chrome
LINKEDIN_BROWSER_HEADLESS=1
LINKEDIN_PREFERRED_USER=data/users_preferred.txt
LINKEDIN_NOT_PREFERRED_USER=data/users_not_preferred.txt
LINKEDIN_MIN_MUTUAL=0
LINKEDIN_MAX_MUTUAL=500
LINKEDIN_MAX_INVITE=0
LINKEDIN_WITHDRAW_INVITE_BEFORE_DAYS=14
```
### TODOs
- Enhance documentation
- Include comprehensive tests