Scrape your LinkedIn profile and generate an ATS-friendly resume powered by AI

• Get Noticed by Recruiters - Stand out with a professionally structured resume
• AI-Powered Resume - Leverage AI to optimize your resume content
• Quick and Easy - Generate your resume in minutes
• ATS Ready - Formatted to pass Applicant Tracking Systems

• Python 3.8+
• A Proxycurl API key

1. Clone the repository:

   git clone https://github.com/daksh-pathak/CVScrape.git
   cd CVScrape

2. Install dependencies:

   pip install requests python-dotenv

3. Create a .env file in the project root:

   API_KEY=your_proxycurl_api_key_here
   

4. Update the LinkedIn URL in main.py to your profile

Run the script to fetch your LinkedIn profile data:

python main.py

This will save your profile data to profile_data.json.

CVScrape/
├── main.py              # Main script to fetch LinkedIn data
├── profile_data.json    # Output file with scraped profile data
├── .env                 # Environment variables (API key)
└── README.md

Edit the main.py file to customize:

• linkedin_profile_url - Your LinkedIn profile URL
• API parameters for additional data (skills, salary estimates, etc.)

This project is licensed under the GPL-3.0 License - see the LICENSE file for details.

Daksh Pathak

• LinkedIn: @daksh-pathak-1855811b1