• Python 3.12 used in this fork
• Two options are avalible to use this bot, either with entering password or without, fully secure no credentials are stored.
• Export all results and offers as txt file
• Fully customizable job preferences
• Can be used for many job search websites such as Linkedin, Glassdoor, AngelCo, Greenhouse, Monster, GLobalLogic and Djinni.

1. Launch just one selenium browser instance & auto logged into your account using your firefox profile

2. have linkedin.py search and apply for all jobs based on your config.py specs

3. Have it iterate/repeate this process untill all jobs have been applied to

4. and all non fast apply jobs have had their urls logged in /data/urlData.txt

In order of most to least important

• Follow PEP 8 Syle Guide coding conventions:
• Change all Variable and Function names to lower case: linkedin.py & utils.py
• Document code: Implement Type Hints & reStructuredText markup and doctrings
• linkedin.py - document
• utils.py - Apply Type Hints only
• Sort out the Firefox Profile config
• **Auto login with the test.py script:**Resoved by creating a env dir and a .env file containing firefox_profile_root_dir = r""
• Refactor and clean up the Linkedin Class block of code in linkedin.py
• **If possible, AUTO LOGIN using firefox profile in the .env file linkedin.py script if possible**
• Then search for and apply to jobs
• Fix the find_element "xpath" issues.
• Eliminate launching a new browser/login session with each iteration: Using Firefox profile resolves this
• Your Firefox profile can be viewed: navigate to: about:profiles in the URL
• Conduct all searches and applications within one browser session.
• Forget Chrome, Just use firefox, it's easier to automate.
• ---
• Use email & password to login. The Firefox browser user profile way is not working.
• This means you need to augment the code to only login once and
• then use the same session to conduct all searches and applications.
• If you can refactor & use less code, then do so.

• The first iteration of this bot will log you in, use the job search criteria specified in config.py, then search for, and apply to, one job.

• The second iteration of this code will use the current browser, and logged-in session, skiping the login process that occurs in step one. The bot will then continue to crawl/search for, and apply to, the next job, based on the defined criteria you specified in config.py

• Step two will repeat until all jobs, whithin the specified parameters have been applied to.

• Maybe add support to other major job seeking websites:

• Indeed

• Glassdoor

• AngelCo And possibly Greenhouse, Monster, GLobalLogic, and djinni.

• clone the repo git clone https://github.com/LinuxUser255/linkedin-application-bot.git
• Make sure Python and pip is installed
• Install dependencies with pip3 install -r requirements.yaml
• Either create firefox Profile and put its path on line 8 of config.py or enter your linkedin credentials line 11 and 12 of config.py.
• Modify config.py according to your demands.
• Run python3 linkedin.py
• Check Applied Jobs DATA .txt file is generate under /data folder
• Selenium Documentation

• Ability to filter jobs, by easy apply, by location, keyword, by experience, position, job type and date posted.
• See config.py, this is where you set job filtering
• 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, 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, due to extra requirements.
• Put time breaks in between functions to prevent threshold.
• Automatically apply for jobs.
• Automatically run in the background.
• Compatible with Firefox and Chrome.
• Runs based on your preferences.
• Optional follow or not follow company upon successful application.
• Much more!

There is test script that can be run to test the dependencies, and functionality of the bot.

1. Located in the repo's parent directory is a script named test.py. this will check if Python, pip, selenium, dotenv and Firefox are correctly installed on your system.
2. Run python3 test.py (or click the green arrow on the line if __name__ == "__main__":), this will output if the Selenium and gecko driver is able to retrieve data from a website. If it returns an error make sure you have correctly installed selenium and gecko drive
3. It will also try to log in to your Linkedin account based on the path you defined in the .env file. If its giving an error make sure the path exists and you created firefox profile, logged in manually to your Linkedin account once. Here is the result you should get after running test files,

This tutorial briefly explains how to set up LinkedIn Easy Apply jobs bot. With few modifications you can make your own bot or try my other bots for other platforms.

1. Install Firefox or Chrome. I was using Firefox for this so I will continue the usage of it on Firefox browser. Process would be similar on Chrome too.
2. Install Python.
3. Download Geckodriver put it in Python’s installation folder.
4. Install pip, python get-pip.py
5. Install selenium pip install selenium
6. Clone the code
7. Create a profile on Firefox, about:profiles
8. place your profile filepath inside the firefox_profile_root_dir = r"" located in /env/.env
9. Launch new profile, go Linkedin.com and log in your account
10. Copy the root folder of your new profile, to do that type about:profiles on your Firefox search bar, copy the root folder C:---\your-profile-name.
11. Paste the root folder on the config.py if the firefoxProfileRootDir file
12. Modify/adapt the code and run in config.py to preferences.
13. After each run check the jobs that the bot didn’t apply automatically, apply them manually by saving your preferences
14. Next time the bot will apply for more jobs based on your saved preferences on Linkedin.
15. Feel free to contact me for any update/request or question.

• See the TO DO list above