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URL: https://apify.com/scrapier/linkedin-post-comments-engagements-scraper

⇱ LinkedIn Post Comments Engagements Scraper · Apify

👁 LinkedIn Post Comments Engagements Scraper avatar

LinkedIn Post Comments Engagements Scraper

Pricing

$24.99/month + usage

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LinkedIn Post Comments Engagements Scraper

Extract engagement data from LinkedIn post comments with the LinkedIn Post Comments Engagements Scraper. Collect comment text, author names, profile URLs, likes, timestamps, and replies in structured format. Ideal for social media analysis, audience insights, brand monitoring, and research.

Pricing

$24.99/month + usage

Rating

0.0

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Developer

👁 Scrapier

Scrapier

Maintained by Community

Actor stats

0

Bookmarked

7

Total users

2

Monthly active users

3 months ago

Last modified

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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.

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