linkedin-profile-scraper

You can batch scrape LinkedIn profiles by company, country, and industry using Playwright browser automation. The tool extracts structured data including name, title, current company, location, and work history with configurable limits.

Yes, logging into LinkedIn within the automated Playwright browser is required to extract profile data. The scraper includes robust fallback and retry logic to handle authentication walls and rate limits during the extraction process.

Automated LinkedIn scraping extracts structured fields including name, headline, location, currentCompany, currentTitle, industry, workHistory, and profileUrl. This structured output is filtered based on your specified company, country, and industry parameters.

The scraper handles LinkedIn auth walls and lazy-loaded sections using robust retry and delay logic within the Playwright automation framework. This ensures reliable data extraction even when encountering rate limits or dynamic page loading.

Yes, the batch scraping tool supports configurable limits for the number of LinkedIn profiles extracted per run. This allows you to control the scale of data extraction and manage potential rate limiting issues.

The best way to automate LinkedIn profile data extraction while avoiding blocks is using Playwright MCP tooling with built-in delay and retry logic. This approach handles authentication walls and rate limits robustly during batch scraping.