Finding the right job can be a daunting task. Enter the Automated Easy Apply Jobs Bot! This Python bot streamlines the application process on LinkedIn according to your preferences, making your job search significantly easier. In this blog post, we’ll guide you through setting up this handy tool step by step.
Step-by-Step Installation Guide
Here’s a simplified process to help you get started with the Easy Apply Jobs Bot:
- Clone the repository by running the following command in your terminal:
- Ensure you have Python and pip installed on your machine.
- Install the necessary dependencies:
- Enter your LinkedIn credentials securely in the
config.pyfile. - Customize the
config.pyaccording to your job preferences. - Run the bot:
git clone https://github.com/wodsuz/EasyApplyJobsBot
pip3 install -r requirements.yaml
python3 linkedin.py
Understanding the Code Like a Recipe
Think of the code behind this bot as a recipe. Each step has its own ingredients and instructions that need to be followed carefully:
- The
git clonecommand is like gathering your ingredients. You’re bringing in everything you need for your dish (the bot). - Installing dependencies is akin to pre-heating your oven. It prepares your cooking space – or in this case, your coding environment – making sure everything is ready for the main course.
- Entering your LinkedIn credentials is similar to adding the secret sauce to enhance the flavor. Your unique inputs will customize the bot’s behavior to your preferences.
- Finally, running the bot is like putting your dish in the oven to bake. All your gathered ingredients and instructions come together to achieve your desired outcome – applying for jobs with ease!
Features of the Bot
This bot offers various features that can significantly improve your job application process:
- Customizable job filters based on location, keywords, experience, and more.
- Ability to apply for jobs automatically, even those with multiple application pages.
- Export application results in .txt or .csv formats (pro version).
- AI integration to answer unanswered job application questions.
Troubleshooting Common Issues
If you run into issues, here are a few troubleshooting tips:
- Ensure all dependencies are properly installed: Run the tests located in the
testsfolder to verify everything is set up correctly. - If Python or Selenium isn’t functioning as expected, double-check your installation. Verify that the correct versions are being used.
- Check if the LinkedIn profile is correctly linked in the
.envfile. You may need to log in manually once to establish a profile connection.
For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.
Future Implementations
There are plans to enhance this tool with support for other major job-seeking platforms like Glassdoor and Monster. Stay tuned for updates!
Final Thoughts
At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

