How to Scrape LinkedIn Post Comments? (RapidAPI + PullAPI)

🔗 Try LinkedIn Scraper API free → https://rapidapi.com/pullapi-pullapi-default/api/linkedin-scraper-api6
🌐 All 30+ scrapers → https://pullapi.com

Pull the reader comments from any public LinkedIn post — who wrote them, what they said, when, and how many likes each got. Pass a post slug or /posts/ URL and get back a structured comments array alongside the total comment count LinkedIn reports for the post.

What you'll see in this video:
→ Post Comments endpoint — accepts a post slug or full /posts/ URL as post_id
→ Response fields: comments array (author_name, text, date_published, like_count), comment_count, total_comment_count, author_name (original post author), post_url
→ Analyzing audience discussion on viral posts or tracking which comments drive the most engagement

Who this is for:
• Social analytics developers building comment sentiment analysis pipelines on LinkedIn content
• Community researchers studying audience reactions to thought leadership or company announcements
• Marketing teams identifying top comments (by like_count) on brand posts to surface signal from noise
• AI agent builders pulling discussion threads into workflows for summarization or community monitoring

Also in the LinkedIn scraper:
→ Post endpoint — full post text, author details, like_count, and comment_count
→ Post Reactions endpoint — like_count, comment_count, and reaction_types breakdown
→ Company Posts endpoint — all recent posts from a company page

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🔗 LinkedIn Scraper API on RapidAPI (free tier): https://rapidapi.com/pullapi-pullapi-default/api/linkedin-scraper-api6
🌐 Pull API — 30+ scrapers: https://pullapi.com
🤖 MCP server for Claude / Cursor agents: https://pullapi.com
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Видео How to Scrape LinkedIn Post Comments? (RapidAPI + PullAPI) канала PullAPI