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Discover LinkedIn Company Posts

The Discover LinkedIn Posts by Company URL Actor extracts and provides detailed information about posts from a specified LinkedIn company profile URL.

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$9

Discover LinkedIn Posts by Company URL Actor

Overview

The Discover LinkedIn Posts by Company URL Actor tool extracts all posts from a valid LinkedIn company profile URL. It provides detailed insights into each post, including the title, post text, date posted, media links, and more. Interested in using this scraper? Get it here: LinkedIn Posts Scraper.

Features

  • Extract posts from a LinkedIn company profile using the company URL.
  • Return detailed post data such as text, media, likes, and comments.
  • Provide post metadata like date posted and user follower count.
  • Supports extraction of videos and other media content from the posts.

Output Fields

Each post's output includes the following fields:

Field NameTypeDescription
urlstringThe URL of the LinkedIn post.
idstringUnique identifier for the post.
user_idstring or nullUser ID (if available).
use_urlstringLinkedIn company URL.
titlestringTitle of the post.
headlinestringA brief headline for the post.
post_textstringThe main content of the post.
date_postedstringTimestamp of when the post was made.
hashtagsstring or nullAny hashtags associated with the post (if applicable).
embedded_linksstring or nullLinks embedded in the post (if any).
imagesstring or nullImage URLs associated with the post (if available).
videosarray of stringVideo URLs associated with the post.
num_likesintegerThe number of likes the post has received.
num_commentsintegerThe number of comments on the post.
more_articles_by_userarray or nullOther articles posted by the user (if available).
more_relevant_postsarray or nullOther posts relevant to the company (if available).
top_visible_commentsarray or nullTop visible comments (if applicable).
user_followersintegerThe follower count of the user/company.
user_postsintegerThe total number of posts made by the user/company.
user_articlesintegerThe total number of articles posted by the user/company.
post_typestringType of post (e.g., "post").
account_typestringThe account type of the user (e.g., "Organization").
post_text_htmlstringHTML version of the post text.
repostobjectInformation on any repost of the original post (if applicable).
tagged_companiesarray of stringAny companies tagged in the post.
tagged_peoplearray of stringAny people tagged in the post.
user_titlestringTitle of the user (e.g., follower count).
timestampstringThe timestamp of the data extraction.
inputobjectInput URL of the post.
discovery_inputobjectThe input URL of the company profile.

Example Output

1[
2  {
3    "url": "https://www.linkedin.com/posts/green-philly_did-we-just-step-into-a-time-machine-activity-7283554398381780993-jW33",
4    "id": "7283554398381780993",
5    "user_id": null,
6    "use_url": "https://www.linkedin.com/company/green-philly",
7    "title": "Green Philly on LinkedIn: Did we just step into a time machine? 🚋 SEPTA’s Kawasaki LRV No. 9000…",
8    "headline": "Green Philly’s Post",
9    "post_text": "Did we just step into a time machine? 🚋 SEPTA’s Kawasaki LRV No. 9000, which first hit the tracks in November 1980, is back in its original retro paint scheme! 🎨 Have you taken a ride on this blast from the past yet? ✨",
10    "date_posted": "2025-01-10T18:44:50.441Z",
11    "hashtags": null,
12    "embedded_links": null,
13    "images": null,
14    "videos": [
15      "https://dms.licdn.com/playlist/vid/v2/D4E10AQEnVHnj_5S17g/mp4-640p-30fp-crf28/mp4-640p-30fp-crf28/0/1736534687686?e=2147483647&v=beta&t=UTKFGM6McXox_D9M_GvcBaG4mHWKI4-NPR-9knm4NqI"
16    ],
17    "num_likes": 0,
18    "num_comments": 0,
19    "more_articles_by_user": null,
20    "more_relevant_posts": null,
21    "top_visible_comments": null,
22    "user_followers": 1032,
23    "user_posts": 0,
24    "user_articles": 0,
25    "post_type": "post",
26    "account_type": "Organization",
27    "post_text_html": "Did we just step into a time machine? &#x1F68B; <br/><br/>SEPTA&#x2019;s Kawasaki LRV No. 9000, which first hit the tracks in November 1980, is back in its original retro paint scheme! &#x1F3A8; <br/><br/>Have you taken a ride on this blast from the past yet? &#x2728; ",
28    "repost": {
29      "repost_url": null,
30      "repost_user_id": null,
31      "repost_user_name": null,
32      "repost_text": null,
33      "repost_hangtags": null,
34      "repost_date": null,
35      "repost_attachments": null,
36      "repost_id": null,
37      "tagged_users": null,
38      "tagged_companies": null,
39      "repost_user_title": null
40    },
41    "tagged_companies": [],
42    "tagged_people": [],
43    "user_title": "1,032 followers",
44    "timestamp": "2025-01-14T12:49:09.136Z",
45    "input": {
46      "url": "https://www.linkedin.com/posts/green-philly_did-we-just-step-into-a-time-machine-activity-7283554398381780993-jW33"
47    },
48    "discovery_input": {
49      "url": "https://www.linkedin.com/company/green-philly"
50    }
51  }
52]

Frequently Asked Questions

Is it legal to scrape job listings or public data?

Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.

Do I need to code to use this scraper?

No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.

What data does it extract?

It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.

Can I scrape multiple pages or filter by location?

Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.

How do I get started?

You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!