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⇱ LinkedIn Post Comments & Engagements Scraper · Apify

👁 LinkedIn Post Comments & Engagements Scraper avatar

LinkedIn Post Comments & Engagements Scraper

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LinkedIn Post Comments & Engagements Scraper

💬 LinkedIn Post Comments & Engagements Scraper gathers commenters, comment text, replies, reaction types & counts, timestamps, and profiles from public posts—no cookies needed. ⚡ Perfect for social listening, content strategy, competitor analysis & analytics. 📊 Fast, clean exports.

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from $4.99 / 1,000 results

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2 months ago

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Post Comments & Engagements Scraper for LinkedIn | No Cookies

Scrape LinkedIn post comments, replies, reactions, and author info in batch (up to 500 posts per run). No browser cookies required by default; optional li_at cookie for authenticated access.

Why use this actor?

  • Bulk scraping: Add multiple post URLs or numeric activity IDs in one run.
  • Structured output: Each comment includes text, author (name, headline, profile URL, picture), posted_at (timestamp, date, relative), stats (reactions, reply count), and nested replies.
  • Proxy fallback: Runs without proxy by default; if LinkedIn blocks, automatically falls back to datacenter then residential proxy (with retries).

Input

FieldTypeRequiredDescription
Post URLs or IDsarray (URLs)YesLinkedIn post URLs or activity IDs (e.g. 7289521182721093633 or full post URL).
Proxy ConfigurationobjectNoApify proxy. Leave default for no proxy; actor will fallback on block.
Page NumberintegerNoPagination (default: 1).
Sort orderstringNoREVERSE_CHRONOLOGICAL (most recent) or RELEVANCE.
Result limit per postintegerNoMax comments per post (1–500, default 100). In Advanced options.
LinkedIn session cookie (li_at)string (secret)NoOptional. Your li_at cookie for logged-in scraping. In Advanced options.

Example input (JSON)

{
"startUrls":[
{"url":"https://www.linkedin.com/feed/update/urn:li:activity:7289521182721093633/"},
{"url":"7289521182721093633"}
],
"sortOrder":"REVERSE_CHRONOLOGICAL",
"resultLimitPerPost":100
}

Output

Dataset items: one per post.

  • postUrl: The post URL used.
  • comments: Array of comment objects. Each has:
    • comment_id, text, posted_at (timestamp, date, relative)
    • author (name, headline, profile_url, profile_picture)
    • stats (total_reactions, reactions by type, comments count)
    • replies (same structure), comment_url, is_pinned, is_edited, post_input, totalComments

How to use (Apify Console)

  1. Open Apify Console → Actors.
  2. Find Post Comments & Engagements Scraper for LinkedIn and open it.
  3. Under Input, add post URLs or IDs (use + Add or Bulk edit).
  4. Optionally set proxy, sort order, and Advanced options (result limit, li_at).
  5. Click Start. Watch the Log tab; results appear in the Output dataset as each post is done.

Cautions

  • Data is from publicly available sources only. No private or password-protected content.
  • You are responsible for compliance with LinkedIn’s terms, privacy laws, and anti-spam regulations.

What are other Linkedin scraping tools?

If you want to scrape specific Linkedin data, you can use any of the dedicated scrapers below for faster and more targeted results.

Scraper NameScraper Name
LinkedIn Ads ScraperLinkedin Open Profile Status
Linkedin B2b Email ScraperLinkedin Phone Number Scraper
Linkedin B2b Lead ScraperLinkedIn Post Comments Scraper
Linkedin B2b Phone Number ScraperLinkedin Post Reactions Scraper
Linkedin Company About ScraperLinkedIn Post Scraper
Linkedin Company EmployeesLinkedIn Posts URL (Profile)
Linkedin Company Employees ScraperLinkedin Profile And Company Posts Scraper
Linkedin Company Post ScraperLinkedin Profile Email Scraper
Linkedin Company Profile ScraperLinkedin Profile Lead Scraper
LinkedIn Company ScraperLinkedin Profile Phone Number Scraper
Linkedin Email ScraperLinkedin Profile Post Scraper
Linkedin Jobs ScraperLinkedIn Profile Scraper
Linkedin Lead ScraperLinkedIn Search Jobs Scraper

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