My LinkedIn Scraper Just Hit Top 20 on Apify — Here's How I Built It

📰 Dev.to · George Kioko

Learn how to build a top-rated LinkedIn scraper on Apify and improve your web scraping skills

intermediate Published 23 Apr 2026
Action Steps
  1. Build a LinkedIn scraper using Apify's platform to extract employee data
  2. Configure the scraper to handle anti-scraping measures and rotate user agents
  3. Test the scraper's performance and optimize it for better results
  4. Deploy the scraper on Apify's platform and monitor its performance
  5. Apply best practices for web scraping to avoid getting blocked by LinkedIn
Who Needs to Know This

Data scientists, software engineers, and DevOps teams can benefit from this tutorial to improve their web scraping capabilities and automate data collection

Key Insight

💡 Using Apify's platform and following best practices for web scraping can help you build a high-performance LinkedIn scraper

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🚀 Just built a top 20 LinkedIn scraper on Apify! Learn how to build your own and improve your web scraping skills 🤖
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