🔎 LinkedIn Job Scraper

📖 Overview

LinkedIn Job Scraper is a Python-based automation tool that helps you search LinkedIn job postings by keywords and locations.
You can apply filters such as date posted, remote/on-site, and experience level.
Results are exported in CSV or JSON formats for further analysis.

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Automate LinkedIn job searches with filters and export results in CSV/JSON for easy analysis.

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✨ Features

• Search jobs with keywords & location
• Apply filters:
  • 📅 Date posted
  • 🌍 Remote / On-site
  • 🎯 Experience level
• Extract job details: title, company, location, date, job link
• Export results as CSV/JSON
• Run via scripts or Jupyter notebooks

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🎥 Demo

Add screenshots or sample outputs here:

• Example notebook: notebook/example_usage.ipynb
• Sample outputs available in output/

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⚙️ Tech Stack

• Python 3.8+
• Libraries: Selenium / BeautifulSoup / Pandas (depending on implementation)
• Interface: Jupyter Notebooks
• Output: CSV & JSON

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⚡ Installation

1. Clone the repo

   git clone https://github.com/Hemant-Karpe-777/LinkedIn-Job-Scraper.git
   cd LinkedIn-Job-Scraper

2. (Optional) Create virtual environment

source venv/bin/activate   # Linux/Mac
venv\Scripts\activate      # Windows

3. Install dependencies

pip install -r requirements.txt

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🚀 Usage

Run via Script

python src/scraper.py \

• -keywords "Data Analyst" \
• -location "Mumbai, India" \
• -date_posted "Past 7 days" \
• -experience "Entry level" \
• -remote_only True \
• -output-format csv \
• -output-file results.csv

Run via Jupyter Notebook

• 1. Open notebook/example_usage.ipynb
• 2. Set search parameters
• 3. Run all cells
• 4. Check results in output/

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🤝 Contributing

Contributions are welcome! 🎉

Fork the repo Create your feature branch (git checkout -b feature/YourFeature) Commit your changes (git commit -m 'Add feature') Push to the branch (git push origin feature/YourFeature) Open a Pull Request

📜 License & Contact

This project is under the MIT License.

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👤 Author: Hemant Karpe

Data Scientist | Machine Learning Develope | Prompt Engineer

• 📧 Email: hemant.777karpe@gmail.com
• 🌐 GitHub Portfolio | 🔗 Hemant-karpe