LinkedIn Post Comments Scraper(No Login）
Extract LinkedIn post comment text, timestamps, author profiles, reply counts and reactions for audience research. No Cookie Required.
Published by
Lu
Lucas
November 10, 2026
Price
2 Credits / result
Categories
BA
APIContact ExtractionData ProcessingMarket IntelligenceLinkedin
Template ID
128514534603905076
Brief
No loginLinkedIn Post Comments required. You do not need to provide LinkedIn cookies to use this template.
Extract comments from LinkedIn post URLs. Get comment text, timestamps, author names and profile links, reply counts and reaction counts for audience-feedback and engagement research.
What does LinkedIn Post Comments Scraper do?
Provide one or more post URLs, a per-post comment limit and an optional time window. The template returns individual comment records linked to their source post.
What data can you scrape from LinkedIn Post Comments Scraper ?
Data group | Data you can get |
|---|---|
Comment content | Post URL, comment URL, text and ISO-format creation time. |
Commenter | Name, LinkedIn profile URL and position when available. |
Engagement | Replies, total reactions, reaction-type breakdown and shares. |
Example output
A historical result is shown below. Only selected fields are displayed; long values are shortened with an ellipsis. Values can change over time.
Field | Result | ||
|---|---|---|---|
commentText | Thanks for sharing this! | ||
commentCreatedAt | 2026-11-05T03:05:56.096Z | ||
authorName | Jack Xuan | ||
authorPosition | Product Leader @ Amazon \ | AI / Search \ | Community Builder & Mentor |
replyCount | 0 | ||
reactionCount | 0 | ||
reactionBreakdown | null | ||
postUrl | https://www.linkedin.com/feed/update/urn:li:activity:7523767837505662976/ |
How to use LinkedIn Post Comments Scraper ?
No cookie required: fill in the task inputs; there is no need to upload or paste LinkedIn cookies.
- Open the template in BrowserAct and select Run.
- Enter posts separated by commas or new lines, set maxCommentsPerPost and choose postedWithin.
- Click Run to submit the task.
- Open the completed result. Use Input & Output to review field definitions and examples.
Input parameters
Parameter | Configuration |
|---|---|
posts | string · Required in the form · LinkedIn post URLs to collect comments from; separate multiple URLs with commas or new lines. · No default specified |
maxCommentsPerPost | integer · Optional in the form · Maximum comments to collect per post; 0 collects all available comments (up to 100 pages per post). · Default: 10 · Minimum: 0 |
postedWithin | string · Optional in the form · Only include comments posted within this time window; 'any' applies no time limit. · Default: any · Options: any, 24h, week, month, 3months, 6months, year |
Example input
Parameter | Example value |
|---|---|
posts | https://www.linkedin.com/feed/update/urn:li:activity:7523767837505662976/ |
postedWithin | any |
maxCommentsPerPost | 10 |
Reading the results
One result represents one returned post comment. Fields not relevant to the chosen report, or unavailable from the source, can be empty or null. Lists within a record are not automatically additional result records.
Why scrape LinkedIn Post Comments ?
- Review audience feedback. Use comment text and timestamps to identify themes and questions in a conversation.
- Understand engagement. Compare reply and reaction counts to find comments that warrant closer review.
- Keep discussion context. Retain post and comment links so each remark can be reviewed in its original context.
- Post comments only. A reply count describes replies to a comment; it does not mean reply bodies are returned as separate records by this template.
- Per-post limit. maxCommentsPerPost defaults to 10. A value of 0 requests available comments up to 100 pages per post.
- Profile availability. Author profile fields can be missing. Engagement totals can change after collection.
- Result pricing. The price applies to one returned post comment. Check the template's Pricing tab for charging rules.
Select Run, enter a relevant target, and review the returned data.
What can we do for you