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https://github.com/linuxuser255/linkedin_apply
Python bot to apply LinkedIn Easy Apply jobs based on your preferences.
https://github.com/linuxuser255/linkedin_apply
bots intellij linkedin neovim pycharm python python-script python3 pythonbots
Last synced: about 3 hours ago
JSON representation
Python bot to apply LinkedIn Easy Apply jobs based on your preferences.
- Host: GitHub
- URL: https://github.com/linuxuser255/linkedin_apply
- Owner: LinuxUser255
- License: gpl-3.0
- Created: 2024-09-18T03:12:43.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-01-07T18:19:50.000Z (3 days ago)
- Last Synced: 2025-01-07T19:29:42.201Z (3 days ago)
- Topics: bots, intellij, linkedin, neovim, pycharm, python, python-script, python3, pythonbots
- Language: Python
- Homepage:
- Size: 187 KB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# LinkedIn_Apply
## A Python bot that will apply to the, "Easy Apply", jobs based on your preferences.
- I may be adding Streamlit and Ollama at somepoint. Therefore, they are in the requirements.txt
- This repo/codebase is a work in progress, & is intended to be an updated version of [my other linkedin bot](https://github.com/LinuxUser255/linkedin-application-bot)
## [To test the bot use this script: test_apply_working_full.py](https://github.com/LinuxUser255/LinkedIn_Apply/blob/main/Test_Scripts/test_apply_working_full.py)
**There are many other test scripts for various trouble shooting & other use-cases in the Test_Scripts folder**
## You will need to download the [Chrome Driver](https://googlechromelabs.github.io/chrome-for-testing/#stable) and palce it in the directory alongside the python files
https://googlechromelabs.github.io/chrome-for-testing/#stable
# TO DO - Fixes and Changes
**In order of most to least important**
**How the Bot works**
- [ ] Create an Excalabur Draw diagram - high-level overview of how this bot works
**Browser handling issues**
- [x] Eliminate launching a new browser/login session with each iteration.
- [x] Each URL is being visited in the same window
- [x] Conduct all searches and applications within one browser session.
**Primary purpose of the Bot: Completion of the Easy apply section**
- [ ] Currently troubleshooting XPath click using:
## [test_apply_working_full.py](https://github.com/LinuxUser255/LinkedIn_Apply/blob/main/Test_Scripts/test_apply_working_full.py) script
- [ ] Once the above is working, itegrate it's functionality into `linkedin.py`
- [x] Resolve the click on "Easy apply" button: Works in `click_button_test.py`
- [x] Implement separation of concerns for finding and clicking elements
- [x] Create module for testing sign in
- [x] Create a module to test login and apply
- [x] Create functionality to handle the submit apply pop-up.
- [x] clicking Next (submit application) and
- [x] click review
- [ ] Modify test_apply.py to be re-run without repeating the login everytime
- [ ] Integrate the four methods used to click the Easy Apply button into `linkedin.py`
- [ ] _Do this using a nested function??_
- [ ] Tie it all together in `main.py`
**After all of the Easy apply functionality is complete.**
- [ ] Make bot able to apply on external links
- [ ] Make it able to register & logon to external job applications
**Misc..**
- [x] Follow PEP 8 Syle Guide coding conventions:
- [x] Change all Variable and Function names to lower case
- [x] Avoid account login issues
- [x] Headless browser experience (Only the login and home page is shown. No link visitin.)
- [x] You can change this in the `config.py` file. Where it says `headless = True`
**Other**
- [x] Fix specified HTML element discovery issues
- [x] ~~Chromium not woking properly with Linux~~
- [ ] More robustness of the bot for different fields
- [ ] Add support to other major job seeking websites (Glassdoor, AngelCo, Greenhouse,
- [ ] Possibly need? Evade Anti-Bot detection
- [ ] If necessary, Maybe retrieve and use session cookies from the browser?
## Install & use
### Clone the repository & Install the requirments**
```shell
git clone https://github.com/LinuxUser255/LinkedIn_Apply.git
cd LinkedIn_Apply
```
#### Download & Activate the virtual enviroment
```shell
curl -LO https://raw.githubusercontent.com/LinuxUser255/LinkedIn_Apply/refs/heads/main/virtenv_acitvate.sh | sh virtenv_acitvate.sh
```
### the install pip3 requirements
```shell
pip3 install -r requirements.yml
```
### The bot can run either by executing `main.py` or `linkedin.py`. Both ways work.