LinkedIn Post Scraper

Preserve the public text, author context, engagement, and media behind known LinkedIn post URLs.

LinkedIn Post Scraper is the Actor I reach for when the URL is already known but the post needs to become a durable research record. It accepts post, activity, and article URLs so a mixed reading list can land in one dataset.

Capture the post before analyzing the reaction

Text and headline fields explain the message; author and publication fields establish provenance; reaction, comment, and media fields describe how the post appeared and how people engaged with it.

Paste the URLs you actually reviewed

Batch post lookup

Enter one or more LinkedIn post, activity, or /pulse/ article URLs and fetch the full public post for each.

Field	Type	Required	Description
post_url	array	Yes	LinkedIn post, activity, or /pulse/ article URLs to fetch post details for.
maxItems	integer	No	Maximum number of posts to fetch. Set to 0 for no item limit.

Example post URL

{
  "post_url": [
    "https://www.linkedin.com/posts/williamhgates_an-hiv-diagnosis-used-to-be-a-death-sentence-activity-7481487214355488768-jvpv"
  ],
  "maxItems": 20
}

A record designed for content research

Post content

Field	Type	Description
post_url	string	LinkedIn post URL used to fetch this record.
type	string	Schema.org content type of the post, e.g. VideoObject or SocialMediaPosting.
name	string	Full title/name of the post, including author and comment count.
text	string	Full post text.
headline	string	Short headline text for the post.
description	string	Short summary/description text for the post.
url	string	Canonical LinkedIn URL for the post.

Author

Field	Type	Description
author	object	Post author name, URL, and type.
published_at	string	When the post was published.

Engagement

Field	Type	Description
reactions	number	Total reaction count.
reaction_types	array	Distinct reaction types present on the post.
comment_count	number	Total comment count.
comments	array	Visible comments with author, text, and likes.

Media

Field	Type	Description
content_url	string	Direct media URL for the post's primary asset.
video_urls	array	Video URLs at different resolutions, for video posts.
image_urls	array	Image URLs, for image posts.
thumbnail	string	Thumbnail image URL.
duration	string	Video duration (ISO 8601), for video posts.
embed_url	string	Embeddable URL for the post.
upload_date	string	Video upload date, for video posts.
keywords	string	Keywords associated with the post.
shared_content	mixed	Shared/reposted content, when the post is a repost.
jsonld	object	Structured schema.org data embedded in the page.

Condensed post output

{
  "post_url": "https://www.linkedin.com/posts/williamhgates_an-hiv-diagnosis-used-to-be-a-death-sentence-activity-7481487214355488768-jvpv",
  "type": "VideoObject",
  "text": "An HIV diagnosis used to be a death sentence. But with recent discoveries and a potential cure in the works, we're closer than ever to a world where no one dies of AIDS.",
  "author": {
    "name": "Bill Gates",
    "url": "https://www.linkedin.com/in/williamhgates"
  },
  "reactions": 3761,
  "comment_count": 492
}

I would use this dataset for campaign archives, executive-content review, or qualitative research—not as a substitute for permission when republishing someone else's material.

Batch pricing

This Actor uses Apify pay-per-result pricing. You are charged for successful dataset results according to the Actor pricing shown on the Apify Pricing tab. Enrichment may add extra billable events when enabled.

Apify's free credits may cover small test runs and up to the free result allowance configured for the Actor.

Start with a low maxItems value before enabling enrichment for large runs.

Responsible collection and reuse

This Actor extracts publicly available LinkedIn profile information. It should not be used to collect private account data, bypass access controls, or contact people in ways that violate privacy laws, LinkedIn terms, or your own compliance obligations. If you are unsure, consult a qualified lawyer.

Run this Actor from code

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_API_TOKEN")
run = client.actor("thenetaji/linkedin-post-scraper").call(run_input={
    "post_url": [
        "https://www.linkedin.com/posts/williamhgates_an-hiv-diagnosis-used-to-be-a-death-sentence-activity-7481487214355488768-jvpv"
    ],
    "maxItems": 20
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Node.js

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "YOUR_APIFY_API_TOKEN" });
const run = await client.actor("thenetaji/linkedin-post-scraper").call({
  "post_url": [
    "https://www.linkedin.com/posts/williamhgates_an-hiv-diagnosis-used-to-be-a-death-sentence-activity-7481487214355488768-jvpv"
  ],
  "maxItems": 20
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Follow the author or organization

• LinkedIn Profile Scraper — Fetch full public LinkedIn profile details — headline, location, about, work history, education, articles, and activity — for one or more usernames or profile URLs.
• LinkedIn Company Scraper — Fetch full public LinkedIn company page details — industry, size, headquarters, specialties, similar and affiliated pages, and recent updates — for one or more company handles or URLs.
• LinkedIn Related User Scraper — Extract related LinkedIn profile suggestions from one or more seed profiles, with optional full profile enrichment for each related user.

Report an edge case

Use the Issues tab on the Actor page for bug reports, missing fields, and feature requests.