LinkedIn Scraper / Web Scraping Engineer

Job Title: LinkedIn Scraper / Web Scraping Engineer

Experience: 3–4 Years
Location: Onsite – Lahore / Hybrid / Remote
Job Type: Full-Time

About the Role

We are looking for a skilled Web Scraping Engineer with strong experience in building and maintaining LinkedIn data extraction systems. You will be responsible for collecting, cleaning, and structuring large-scale professional data while handling anti-bot mechanisms and platform limitations.

Key Responsibilities

• Develop and maintain LinkedIn scraping tools and pipelines.
• Extract structured data: profiles, companies, jobs, emails, skills, etc.
• Handle captcha, rate limits, IP rotation, and proxies.
• Build automation workflows for continuous data collection.
• Clean, normalize, and store scraped data in databases.
• Monitor scraping systems and fix broken selectors.
• Optimize scrapers for speed, reliability, and scalability.
• Integrate scraped data with CRM / ATS / lead generation tools.
• Document scraping logic and workflows.

Required Skills & Qualifications

• 3–4 years of experience in web scraping / data extraction.
• Strong proficiency in Python or Node.js.
• Hands-on experience with tools:
• Selenium, Playwright, Puppeteer, Scrapy, BeautifulSoup
• Experience scraping LinkedIn or similar protected platforms.
• Knowledge of proxies, rotating IPs, user agents.
• Experience with headless browsers.
• Familiarity with HTML, CSS, XPath, Regex.
• Experience storing data in PostgreSQL / MySQL / MongoDB.
• Understanding of REST APIs.Nice to Have (Plus Points)
• Experience with anti-bot bypass techniques.
• Knowledge of captcha solvers (2Captcha, AntiCaptcha).
• Experience with cloud deployment (AWS/GCP).
• Familiarity with Snov.io, Apollo, Phantombuster, TexAu.
• Experience building scraping dashboards.

Job Type: Full-time

Pay: Rs100,000.00 - Rs150,000.00 per month

Work Location: In person