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โ‡ฑ LinkedIn Post Scraper - Extract Post Data by URL ยท Apify


๐Ÿ‘ LinkedIn Post Scraper - Extract Post Data by URL avatar

LinkedIn Post Scraper - Extract Post Data by URL

Pricing

from $2.00 / 1,000 results

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LinkedIn Post Scraper - Extract Post Data by URL

Scrape a single LinkedIn post by URL. Extracts post text, author, timestamp, reactions, comment count, reposts, and media. No login or cookies needed.

Pricing

from $2.00 / 1,000 results

Rating

0.0

(0)

Developer

๐Ÿ‘ Thirdwatch

Thirdwatch

Maintained by Community

Actor stats

0

Bookmarked

17

Total users

10

Monthly active users

17 days ago

Last modified

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LinkedIn Post Scraper

Extract structured data from a public LinkedIn post given its URL. Pure HTTP โ€” no browser, no login, no cookies required.

What it does

Given one or more LinkedIn post URLs, returns:

FieldDescription
urlCanonical post URL
urnurn:li:activity:{id} / urn:li:share:{id} / urn:li:ugcPost:{id}
post_idNumeric id (last segment of the urn)
textFull post body (not the truncated og:description)
posted_relativeRelative timestamp as LinkedIn renders it (e.g. 1mo, 3d, 5h)
editedtrue if the post shows an "Edited" marker
author_nameAuthor display name
author_headlineAuthor tagline (job title / description)
author_profile_urlLink to the author's profile or company page
author_profile_imageAuthor avatar URL
author_is_companytrue if the author is a company page
reactions_countTotal reactions (likes, celebrates, etc.)
comments_countNumber of top-level comments
reposts_countAlways null โ€” LinkedIn does not expose this on the public embed
mediaArray of {type, url, thumbnail} for images and videos in the post

Accepted URL formats

The actor accepts any of:

https://www.linkedin.com/posts/{user}_{slug}-activity-{id}-{hash}
https://www.linkedin.com/feed/update/urn:li:activity:{id}/
https://www.linkedin.com/feed/update/urn:li:share:{id}/
https://www.linkedin.com/feed/update/urn:li:ugcPost:{id}/
urn:li:activity:{id}

Query strings (e.g. ?actorCompanyId=...) are stripped automatically.

Input

{
"postUrls":[
"https://www.linkedin.com/feed/update/urn:li:activity:7444032259956903936/",
"https://www.linkedin.com/feed/update/urn:li:share:7441772941413085184/"
],
"maxPosts":10
}

Output (per post)

{
"url":"https://www.linkedin.com/feed/update/urn:li:activity:7444032259956903936/",
"urn":"urn:li:activity:7444032259956903936",
"post_id":"7444032259956903936",
"text":"LinkedIn is currently chock-a-block with AI hype...",
"posted_relative":"1mo",
"edited":true,
"author_name":"Saranya Balachandran",
"author_headline":"Content Marketer & Strategist...",
"author_profile_url":"https://in.linkedin.com/in/saranya-balachandran-69443720",
"author_profile_image":"https://media.licdn.com/...",
"author_is_company":false,
"reactions_count":27,
"comments_count":5,
"reposts_count":null,
"media":[
{"type":"image","url":"https://media.licdn.com/...","thumbnail":""}
]
}

Limitations

  • Comment text is not returned. Pulling individual comments requires a logged-in session; this actor stays purely public.
  • Reposts count is null. LinkedIn does not expose it on the public embed page.
  • posted_relative is a relative string, not an ISO timestamp. The public embed exposes only the rendered "1mo" / "3d" form. If you need an absolute timestamp, derive it client-side from post_id (LinkedIn ids encode the creation millisecond in the upper bits) or from your scrape time minus the relative interval.

Pricing

Pay-per-event: starts at $0.005 per post (FREE tier), drops to $0.002 at GOLD tier.

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