This is a free, open-source tool that automates job applications on LinkedIn. It runs entirely on your own computer, using your own LinkedIn account. It finds jobs relevant to you, fills in the application questions, tailors your resume to each job's details (required skills, description, about the company, etc.), and applies. Can apply to 100+ jobs in under an hour.
Click on above image to watch the demo or use this link https://youtu.be/gMbB1fWZDHw
- Introduction
- Demo Video
- Index
- Easy start (recommended)
- Install
- Configure
- Contributor Guidelines
- Updates
- Disclaimer
- Terms and Conditions
- License
- Socials
- Support and Discussions
New here, or not comfortable editing code? Use the built-in control panel. You set everything up in your web browser and run the tool with a button - no editing Python files, no terminal commands.
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Install Python once. Get it from https://www.python.org/downloads/ (on Windows, tick "Add Python to PATH" during install). You also need Google Chrome.
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Download this project (green "Code" button β "Download ZIP", then unzip; or clone it).
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Double-click the launcher for your system:
- macOS:
start.command - Windows:
start.bat - Linux:
start.sh(run./start.shin a terminal)
The first run sets things up automatically (it may take a minute). After that it's quick.
- macOS:
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Your browser opens the control panel automatically (the exact address, e.g.
http://127.0.0.1:5000, is shown in the launcher window). Fill in the tabs - Account, Profile, Search, Filters, Run settings - and click Save. -
Go to the Run tab and click Start. A Chrome window opens and begins applying - keep it in the foreground. You can watch progress in the log and click Stop any time.
Everything stays on your own computer: your details are saved locally in user_config.json (never uploaded), and the control panel is reachable only from this machine. If you prefer the classic setup, the manual steps below still work exactly as before.
Click on above image to watch the tutorial for installation and configuration or use this link https://youtu.be/f9rdz74e1lM (Recommended to watch it in 2x speed)
- Python 3.10 or above. Visit https://www.python.org/downloads/ to download and install Python, or for windows you could visit Microsoft Store and search for "Python". Please make sure Python is added to Path in System Environment Variables.
- Install the required Python packages. After Python is installed, open a console/terminal in the project folder and run the command below (it uses pip to install everything listed in
requirements.txt).
pip install -r requirements.txt
- Download and install latest version of Google Chrome in it's default location, visit https://www.google.com/chrome to download it's installer.
- Clone the current git repo or download it as a zip file, url to the latest update https://github.com/GodsScion/Auto_job_applier_linkedIn.
- (Not needed if you set
auto_manage_driver = Trueinconfig/settings.py, which downloads the matching driver for you automatically.) Otherwise, download the Chrome Driver that matches your Google Chrome version and place it where Chrome is installed. Visit https://googlechromelabs.github.io/chrome-for-testing/ to download.
OR
If you are using Windows, click onwindows-setup.batavailable in the/setupfolder, this will install the latest chromedriver automatically. - If you have questions or need help setting it up or to talk in general, join the github server: https://discord.gg/fFp7uUzWCY
- Open
personals.pyfile in/configfolder and enter your details like name, phone number, address, etc. Whatever you want to fill in your applications. - Open
questions.pyfile in/configfolder and enter your answers for application questions, configure wether you want the bot to pause before submission or pause if it can't answer unknown questions. - Open
search.pyfile in/configfolder and enter your search preferences, job filters, configure the bot as per your needs (these settings decide which jobs to apply for or skip). - Open
secrets.pyfile in/configfolder and enter your LinkedIn username, password to login and OpenAI API Key for generation of job tailored resumes and cover letters (This entire step is optional). If you do not provide username or password or leave them as default, it will login with saved profile in browser, if failed will ask you to login manually. - Open
settings.pyfile in/configfolder to configure settings like keep screen awake, click interval (time to wait between actions), run in background, automatic Chrome-driver management, etc. as per your needs. - (Optional) Don't forget to add you default resume in the location you mentioned in
default_resume_path = "all resumes/default/resume.pdf"given in/config/questions.py. If one is not provided, it will use your previous resume submitted in LinkedIn or (In Development) generate custom resume if OpenAI APT key is provided! - Run
runAiBot.pyand see the magic happen. - To run the local control panel (settings, run controls, and Applied Jobs history), run
app.py- it prints the address to open (e.g.http://127.0.0.1:5000, or another port if 5000 is busy). - If you have questions or need help setting it up or to talk in general, join the github server: https://discord.gg/fFp7uUzWCY
Thank you for your efforts and being a part of the community. All contributions are appreciated no matter how small or big. Once you contribute to the code base, your work will be remembered forever.
NOTE: Only Pull request to community-version branch will be accepted. Any other requests will be declined by default, especially to main branch.
Once your code is tested, your changes will be merged to the main branch in next cycle.
- All functions or methods are named lower case and snake case
- Must have explanation of their purpose. Write explanation surrounded in
''' Explanation '''under the definitiondef function() -> None:. Example:def function() -> None: ''' This function does nothing, it's just an example for explanation placement! '''
- The Types
(str, list, int, list[str], int | float)for the parameters and returns must be given. Example:def function(param1: str, param2: list[str], param3: int) -> str:
- Putting all that together some valid examples for function or method declarations would be as follows.
def function_name_in_camel_case(parameter1: driver, parameter2: str) -> list[str] | ValueError: ''' This function is an example for code guidelines ''' return [parameter2, parameter2.lower()]
- The hashtag comments on top of functions are optional, which are intended for developers
# Comments for developers.# Enter input text function def text_input_by_ID(driver: WebDriver, id: str, value: str, time: float=5.0) -> None | Exception: ''' Enters `value` into the input field with the given `id` if found, else throws NotFoundException. - `time` is the max time to wait for the element to be found. ''' username_field = WebDriverWait(driver, time).until(EC.presence_of_element_located((By.ID, id))) username_field.send_keys(Keys.CONTROL + "a") username_field.send_keys(value)
- All variables must start with lower case, must be in explainable full words. If someone reads the variable name, it should be easy to understand what the variable stores.
- All local variables are camel case. Examples:
jobListingsElement = None
localBufferTime = 5.5
- All global variables are snake case. Example:
total_runs = 1 - Mentioning types are optional.
localBufferTime: float | int = 5.5
- All config variables are treated as global variables. They have some extra guidelines.
- Must have variable setting explanation, and examples of valid values. Examples:
# Explanation of what this setting will do, and instructions to enter it correctly config_variable = "value1" # <Valid values examples, and NOTES> "value1", "value2", etc. Don't forget quotes ("")
# Do you want to randomize the search order for search_terms? randomize_search_order = False # True of False, Note: True or False are case-sensitive
# Avoid applying to jobs if their required experience is above your current_experience. (Set value as -1 if you want to apply to all ignoring their required experience...) current_experience = 5 # Integers > -2 (Ex: -1, 0, 1, 2, 3, 4...)
# Search location, this will be filled in "City, state, or zip code" search box. If left empty as "", tool will not fill it. search_location = "United States" # Some valid examples: "", "United States", "India", "Chicago, Illinois, United States", "90001, Los Angeles, California, United States", "Bengaluru, Karnataka, India", etc.
- Add the config variable in appropriate
/config/file. - Every config variable must be validated. Go to
/modules/validator.pyand add it over there. Example: For config variablesearch_location = ""found in/config/search.py, string validation is added in file/modules/validator.pyunder the methoddef validate_search().def validate_search() -> None | ValueError | TypeError: ''' Validates all variables in the `/config/search.py` file. ''' check_string(search_location, "search_location")
- All contributions require proper attestion. Format for attestation:
##> ------ <Your full name> : <github id> OR <email> - <Type of change> ------
print("My contributions π") # Your code
##<- Examples for proper attestation: New feature example
##> ------ Sai Vignesh Golla : godsscion - Feature ------
def alert_box(title: str, message: str) -> None:
'''
Shows an alert box with the given `title` and `message`.
'''
from pyautogui import alert
return alert(title, message)
##<Bug fix example
def alert_box(title: str, message: str) -> None:
'''
Shows an alert box with the given `title` and `message`.
'''
from pyautogui import alert
##> ------ Sai Vignesh Golla : saivigneshgolla@outlook.com - Bug fix ------
return alert(message, title)
##<- You can now simultaneously use chrome, while bot continues applying in a new window
- Contributions from community have been added
- Better AI support, minor bug fixes
- Patched to work for latest changes in Linkedin.
- Users can now select to follow or not follow companies when submitting application.
- Frameworks for future AI Developments have been added.
- AI can now be used to extract skills from job description.
- Framework for OpenAI API and Local LLMs
- Framework for RAG
- Smarter Auto-fill for salaries and notice periods
- Robust Search location filter, will work in window mode (No need for full screen)
- Better logic for Select and Radio type questions
- Proper functioning of Decline to answer questions in Equal Employment opportunity questions
- Checkbox questions select fail bug fixed
- Annotations are clearer in instructions for setup
- Annotations for developers
- Robust input validations
- Restructured config file
- Fixed pagination bug
- Performance improvements (skip clicking on applied jobs and blacklisted companies)
- Stop when easy apply application limit is reached
- Added ability to discard from pause at submission dialogue box
- Added support for address input
- Bug fixed radio questions, added support for physical disability questions
- Added framework for future config file updates
- Major Bug fixes (Text Area type questions)
- Made uploading default resume as not required
- Added functionality for textarea type questions
summary,cover_letter(Summary, Cover letter); checkbox type questions (acknowledgements) - Added feature to skip irrelevant jobs based on
bad_words - Improved performance for answering questions
- Logic change for masters students skipping
- Change variable names
blacklist_exceptions->about_company_good_wordsandblacklist_words->about_company_bad_words - Added session summary for logs
- Added option to turn off "Pause before Submit" until next run
- For questions similar to "What is your current location?", City posted in Job description will be posted as the answer if
current_cityis left empty in the configuration - Added option to over write previously saved answers for a question
overwrite_previous_answers - Tool will now save previous answer of a question
- Tool will now collect all available options for a Radio type or Select type question
- Major update in answering logic for Easy Apply Application questions
- Added Safe mode option for quick stable launches
safe_mode
- Added option to fill in "City, state, or zip code" search box
search_location - Bug fixes in answering City or location question
This tool runs on your own computer and acts through your own accounts. It is provided free and open source, with no warranty of any kind. You are responsible for how you use it, including making sure your use complies with the terms of any website or service you use it with. The authors and contributors accept no liability for how it is used.
Please consider the following:
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LinkedIn Policies: LinkedIn has policies regarding automated activity on its platform. It is your responsibility to review and comply with them before using this tool with your account.
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No Warranties or Guarantees: This program is provided as-is, without any warranties or guarantees of any kind. The accuracy, reliability, and effectiveness of the program cannot be guaranteed. Use it at your own risk.
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Disclaimer of Liability: The creators and contributors of this program shall not be held responsible or liable for any damages or consequences arising from the direct or indirect use, interaction, or actions performed with this program. This includes but is not limited to any legal issues, loss of data, or other damages incurred.
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Use at Your Own Risk: It is important to exercise caution and ensure that your usage, interactions, and actions with this program comply with applicable laws, regulations, and the terms of the services you use it with.
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Chrome Driver: This program uses the Chrome Driver to control your browser. Please review and comply with the terms and conditions specified for Chrome Driver.
Copyright (c) 2024-2026 Sai Vignesh Golla saivigneshgolla@outlook.com
This project is licensed under the MIT License. You are free to use, copy, modify, and distribute it β including in commercial and closed-source work β as long as the copyright notice and permission notice are preserved. It is provided "as is", without warranty of any kind.
Releases before August 2026 were licensed under the AGPL-3.0. See NOTICE for the relicensing history, and the LICENSE file for the full MIT text.
- LinkedIn : https://www.linkedin.com/in/saivigneshgolla/
- Email : saivigneshgolla@outlook.com
- X/Twitter: https://x.com/saivigneshgolla
- Discord : godsscion
- Discord Server : https://discord.gg/fFp7uUzWCY alternate link: https://discord.gg/ykfDjRFB
- GitHub