LinkedIn Post Scraper

What does LinkedIn Post Scraper do?

Give it a link to a public LinkedIn post and it returns that post's details as structured data — the text, who wrote it, when it was published, how many reactions and comments it has, and any image or video attached.

No LinkedIn account, login, or cookie is needed. Paste a link, press Start, and download the result as JSON, CSV or Excel — or pull it straight from the Apify API.

Why use LinkedIn Post Scraper?

• Track performance — record reactions and comments on a post, and run it again later to see how they grew.
• Archive posts — keep a copy of the text, author and media of posts that matter to you.
• Build reports — the output is flat and predictable, so it drops straight into a spreadsheet or database.
• Monitor accounts — collect the numbers on any public post from your team, your competitors, or your industry.

How to use LinkedIn Post Scraper

1. Paste one or more LinkedIn post URLs into the input.
2. Optionally tick Fetch comments and follower count if you want those too.
3. Click Start.
4. When the run finishes, open the Output tab to preview the data or export it.

Which links work

All of these point at the same post, and any of them is accepted:

https://www.linkedin.com/posts/williamhgates_some-slug-activity-7482647567445495808-9S6u
https://www.linkedin.com/feed/update/urn:li:activity:7482647567445495808/
urn:li:activity:7482647567445495808
7482647567445495808

The easiest way to get one: open the post on LinkedIn, click the ⋯ menu in its top-right corner, and choose Copy link to post.

Input

Field	Type	Required	Description
LinkedIn post URLs (post_urls)	array	Yes	One or more post links.
Fetch comments and follower count (include_comments)	boolean	No	Adds the top comments, the author's follower count and the video length. Slower. Off by default.
Max concurrent requests (max_concurrency)	integer	No	How many posts to fetch at once. Default 1.
Include raw data (include_raw)	boolean	No	Adds the unprocessed page data to each record, for debugging. Off by default.

Example input:

{
  "post_urls": [
    "https://www.linkedin.com/feed/update/urn:li:activity:7482647567445495808/"
  ],
  "include_comments": true
}

Output

One record per post you submit:

{
  "post_url": "https://www.linkedin.com/feed/update/urn:li:activity:7482647567445495808",
  "activity_id": "7482647567445495808",
  "post_type": "video",
  "text": "Nuclear fission and fusion could give the world virtually unlimited clean energy.",
  "published_at": "2026-07-14T04:10:00Z",
  "reaction_count": 4150,
  "comment_count": 403,
  "author_name": "Bill Gates",
  "author_headline": "Chair, Gates Foundation and Founder, Breakthrough Energy",
  "author_profile_url": "https://www.linkedin.com/in/williamhgates",
  "author_avatar": "https://media.licdn.com/dms/image/v2/…",
  "author_followers": 40573405,
  "images": [],
  "video_url": "https://dms.licdn.com/playlist/vid/v2/…",
  "video_thumbnail": "https://media.licdn.com/dms/image/v2/…",
  "video_duration": "PT2M32S",
  "comments": [
    {
      "text": "Demystifying the science behind fission and fusion",
      "author_name": "Bill Gates",
      "published_at": "2026-07-14T04:10:26Z",
      "like_count": 12
    }
  ],
  "is_unavailable": false,
  "error": null
}

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

Data fields

Field	Description
post_url	Link to the post.
activity_id	LinkedIn's own id for the post.
post_type	post for text and images, video for a native video.
text	The post as written.
published_at	When it was posted.
reaction_count	Total reactions.
comment_count	Total comments.
author_name	Who posted it.
author_headline	Their job title line.
author_profile_url	Link to their profile.
author_avatar	Their profile photo.
author_followers	Their follower count. Needs Fetch comments and follower count.
images	Images attached to the post.
video_url	Direct link to the video file, if the post has one.
video_thumbnail	The video's cover image.
video_duration	How long the video is. Needs Fetch comments and follower count.
comments	Top comments, each with its author, text, date and likes. Needs Fetch comments and follower count.
is_unavailable	true if the post is deleted or not public.
error	Filled in only if something went wrong with that link.

What it cannot return

• The full comment thread. LinkedIn shows only the top handful of comments publicly. comment_count is the true total; comments is the visible sample.
• A breakdown of reactions. You get the total, not the split between Like, Celebrate, Insightful and so on.
• Private or deleted posts. These come back with is_unavailable: true.

How much does it cost to scrape LinkedIn posts?

Very little. A typical post costs a fraction of a cent, and a batch of five finishes in about twenty seconds. Ticking Fetch comments and follower count roughly doubles the work per post.

Tips

• Leave Max concurrent requests at 1 unless you are in a hurry. LinkedIn limits how fast anyone can read, and going faster mostly means more retries.
• Batch your links into one run instead of starting a separate run per post.
• Only tick Fetch comments when you need them — without it, runs are faster and cheaper.

FAQ and support

Do I need a LinkedIn account or cookie? No. Nothing to log in with and nothing to keep alive.

Why is comments shorter than comment_count? LinkedIn only publishes the top few comments to people who are not signed in. The count is the real total.

Why did a post come back as unavailable? It was deleted, made private, or its author limited who can see it.

Is scraping LinkedIn legal? This Actor collects only publicly available data. You are responsible for how you use it, and you should not collect personal data without a legal basis. If in doubt, take legal advice.

Found a bug, or need a field that is not here? Open an issue on the Issues tab.