UppuluriKalyani / ML-Nexus

ML Nexus is an open-source collection of machine learning projects, covering topics like neural networks, computer vision, and NLP. Whether you're a beginner or expert, contribute, collaborate, and grow together in the world of AI. Join us to shape the future of machine learning!
https://discord.gg/n2D4RqnU
MIT License
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LinkedIn Job Extractor - Job data extraction tool from the web using Scrapy #375

Closed Niraj1608 closed 2 days ago

Niraj1608 commented 2 days ago

Is your feature request related to a problem? Please describe. The LinkedIn Job Scraper is a Python-based web scraping tool that uses Scrapy, a powerful web crawling framework, to extract job listings from LinkedIn. The tool is designed to circumvent common anti-scraping mechanisms like IP blocking by integrating proxy rotation, which ensures that the scraper can maintain a steady scraping speed while avoiding detection or throttling.

Key Features:

Scrapes job listings (job title, company, location, posting date, and description). Uses proxies for IP rotation to avoid detection. Allows the user to filter job results by keywords, locations, and other criteria. Stores the scraped data in a structured format (e.g., CSV, JSON)

github-actions[bot] commented 2 days ago

Thanks for creating the issue in ML-Nexus!πŸŽ‰ Before you start working on your PR, please make sure to:

github-actions[bot] commented 2 days ago

Hello @Niraj1608! Your issue #375 has been closed. Thank you for your contribution!