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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)
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Project Description
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)
Full Name
Parmar Niraj Jagdishbhai
Participant Role
GSSOC