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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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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

Field	Type	Required	Description
Post URLs or IDs	array (URLs)	Yes	LinkedIn post URLs or activity IDs (e.g. `7289521182721093633` or full post URL).
Proxy Configuration	object	No	Apify proxy. Leave default for no proxy; actor will fallback on block.
Page Number	integer	No	Pagination (default: 1).
Sort order	string	No	`REVERSE_CHRONOLOGICAL` (most recent) or `RELEVANCE`.
Result limit per post	integer	No	Max comments per post (1–500, default 100). In Advanced options.
LinkedIn session cookie (li_at)	string (secret)	No	Optional. 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)

Open Apify Console → Actors.
Find Post Comments & Engagements Scraper for LinkedIn and open it.
Under Input, add post URLs or IDs (use + Add or Bulk edit).
Optionally set proxy, sort order, and Advanced options (result limit, li_at).
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 Name	Scraper Name
LinkedIn Ads Scraper	Linkedin Open Profile Status
Linkedin B2b Email Scraper	Linkedin Phone Number Scraper
Linkedin B2b Lead Scraper	LinkedIn Post Comments Scraper
Linkedin B2b Phone Number Scraper	Linkedin Post Reactions Scraper
Linkedin Company About Scraper	LinkedIn Post Scraper
Linkedin Company Employees	LinkedIn Posts URL (Profile)
Linkedin Company Employees Scraper	Linkedin Profile And Company Posts Scraper
Linkedin Company Post Scraper	Linkedin Profile Email Scraper
Linkedin Company Profile Scraper	Linkedin Profile Lead Scraper
LinkedIn Company Scraper	Linkedin Profile Phone Number Scraper
Linkedin Email Scraper	Linkedin Profile Post Scraper
Linkedin Jobs Scraper	LinkedIn Profile Scraper
Linkedin Lead Scraper	LinkedIn Search Jobs Scraper

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