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https://github.com/namdharayush/linkedin-jobs-scraper-extension

LinkedIn Scraper is a powerful job scraping tool designed for job seekers and recruiters. With just one click, extract job listings from LinkedIn, including job title, description, apply link, published date, recruiter name, and profile link. Easily export the collected data to a CSV file for seamless analysis and tracking.
https://github.com/namdharayush/linkedin-jobs-scraper-extension

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LinkedIn Scraper is a powerful job scraping tool designed for job seekers and recruiters. With just one click, extract job listings from LinkedIn, including job title, description, apply link, published date, recruiter name, and profile link. Easily export the collected data to a CSV file for seamless analysis and tracking.

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# 🚀 LinkedIn Job Extractor Extension

A powerful Chrome extension that extracts job listings from LinkedIn with **one click** and exports the data to a **CSV file** for easy tracking and analysis.

## 🔹 Features
✅ Extract job details: **Title, Description, Apply Link, Published Date, Recruiter Name & Profile**
✅ **Pause & Resume** scraping anytime
✅ **Set an End Page** to limit data collection
✅ **Export data to CSV** for seamless analysis

## 📥 Installation
1. **Download the ZIP** file from this repository.
2. Extract the ZIP file to a folder on your computer.
3. Open **Google Chrome** and go to `chrome://extensions/`.
4. Enable **Developer Mode** (toggle in the top right corner).
5. Click **Load Unpacked** and select the **dist** folder.
6. The extension is now installed! 🎉

## 🛠️ How to Use
1. Open **LinkedIn Jobs**.
2. Click **"Start Scrape"** to begin extracting job details.
3. Click **"Pause"** to stop scraping after the current page.
4. Click **"Resume"** to continue scraping from the next page.
5. Enter an **End Page Number** (optional) to scrape until that page.
6. Click **"Download CSV"** to save the extracted data.

## ⚠️ Notes
- LinkedIn applies **rate limits**, so scraping may slow down if overused.
- **Do not click outside the popup** while scraping, as it may automatically close the script.

## 📌 Contribution & Support
If you find any issues or have suggestions, feel free to **open an issue** 🚀