Linkedin Easy Apply Bot 🤖

A python bot to apply all Linkedin Easy Apply jobs based on your preferences.

Installation 🔌

NOTE: If you need help setting up or running the bot locally join our Discord community

Run inside a Docker container (recommended)

• Clone the repo git clone https://github.com/GabeGiro/EasyApplyJobsBot
• Setup configs
  • In the project directory, create 'configs' directory
  • Add your configuration
    • Copy the configs.py template into the 'configs' directory
    • Enter your linkedin credentials on the beginning of your_config.py file
    • Add your search preferences. Checkout examples: CTO in Croatia & Data Scientist in Europe and North America
    • Repeat for various searches
• Install Docker
• Run docker-compose up --build -d

Run tests in a container

• Run docker-compose up --build -d test

Debug with Dev Containers in VSCode

• Install Dev Containers VSCode extension
• In the VSCode's search bar find Dev Containers' command "Rebuild without cache and reopen in a container"

Run without Docker

• clone the repo git clone https://github.com/GabeGiro/EasyApplyJobsBot
• Make sure Python and pip is installed
• Install dependencies with pip3 install -r requirements.txt
• You have 2 choices
  • SIMPLE: One config.py
    • Enter your linkedin credentials on the beginning of config.py file
    • Modify config.py according to your preferences. Checkout examples: CTO in Croatia & Data Scientist in Europe and North America
    • Run python3 runner.py
  • MULTIPLE SEARCHES: Multiple configurations
    • Follow the steps described in 'Add your configuration' step of the 'Docker Setup' explained above
    • Run python3 allConfigsRunner.py
• Check Applied Jobs DATA .txt file is generate under /data folder

Debug locally in VSCode

• in config.py
  • leave chromeDriverPath empty or add your local path to it
  • add your chromeProfilePath (instructions to find it are in the config.py)
• under 'Run and Debug' use 'Debug EasyApply With 1 Config'
• after the first run, add your chromeDriverPath to config.py
• Then you might have issues with chromedriver not having the right permissions. Here is the solution for MacOS.
  • after starting the debugging at least once, you should have the chromedriver installed
  • add path to that chromedriver in config.py
  • run something like this (adjust the path to your local environment) chmod +x /Users/your_user/.wdm/drivers/chromedriver/mac_version_/version_number/chromedriver-mac-mac_version/chromedriver
  • extra step is to verify the permissions with something like: ls -l /Users/your_user/.wdm/drivers/chromedriver/mac_version/version_number/chromedriver-mac-mac_version/chromedriver

Features 💡

• Ability to filter jobs, by easy apply, by location (Worldwide, Europe, Poland, etc.), by keyword (python, react, node), by experience, position, job type and date posted.
• Apply based on your salary preferance (works best for job offers from States)
• Automatically apply single page jobs in which you need to send your up-to-date CV and contact.
• Automatically apply more than one page long offers with the requirements saved in LinkedIn like experience, legal rights, resume etc.
• Output the results in a data txt file where you can later work on.
• Print the links for the jobs that the bot couldn’t apply for because of extra requirements. (User can manually apply them to optimize the bot)
• Put time breaks in between functions to prevent threshold.
• Automatically apply for jobs.
• Automatically run in the background.
• Runs based on your preferences.
• Optional follow or not follow company upon successful application.
• Much more!

In Detail Feature Table

If you would like to see a specific feature developed, please open an issue or suggest it in our Discord community

Demo 🖥

Motivation for this fork

It started out as few fixes to the out-dated functionality (due to LinkedIn's HTML changes).

Now, the main motivation is to make it very easy to use for tech savvy individuals with basic knowledge of python and Docker. The secondary motivation is to add answering to questions as part of the free functionality compared to the original repo.

Additionally, @GabeGiro is developing a user friendly, closed-source solution. If you want to be one of the first ones to try it out, join the Discord community.

Contribution

• Fork the repository
• Pick (or create) an issue you want to work on. Assign yourself to the issue (or ask to be assigned to)
• Create a branch
• Link the branch to the issue
• When you are done, open a PR (pull request) - add @GabeGiro as a reviewer
• We might go back and fourth few times and after your PR is approved, you will use "Squash and merge"

Frequently Asked Questions

Checkout the original repo

Without https://github.com/wodsuz/EasyApplyJobsBot , this repository might have never happened. Checkout his repo for a different Easy Apply experience :)