LinkedIn Post Comments Engagements Scraper
Pricing
$19.99/month + usage
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LinkedIn Post Comments Engagements Scraper
Extract engagement insights from LinkedIn posts using the LinkedIn Post Comments Engagement Scraper. Collect post text, comments, reactions, likes, timestamps, and author details automatically. Ideal for social media analytics and content performance tracking.
Pricing
$19.99/month + usage
Rating
0.0
(0)
Developer
Scrapio
Maintained by Community
Actor stats
0
Bookmarked
2
Total users
1
Monthly active users
2 days 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
| 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)
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.
