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 Name
Type
Description
url
string
The URL of the LinkedIn post.
id
string
Unique identifier for the post.
user_id
string or null
User ID (if available).
use_url
string
LinkedIn company URL.
title
string
Title of the post.
headline
string
A brief headline for the post.
post_text
string
The main content of the post.
date_posted
string
Timestamp of when the post was made.
hashtags
string or null
Any hashtags associated with the post (if applicable).
embedded_links
string or null
Links embedded in the post (if any).
images
string or null
Image URLs associated with the post (if available).
videos
array of string
Video URLs associated with the post.
num_likes
integer
The number of likes the post has received.
num_comments
integer
The number of comments on the post.
more_articles_by_user
array or null
Other articles posted by the user (if available).
more_relevant_posts
array or null
Other posts relevant to the company (if available).
top_visible_comments
array or null
Top visible comments (if applicable).
user_followers
integer
The follower count of the user/company.
user_posts
integer
The total number of posts made by the user/company.
user_articles
integer
The total number of articles posted by the user/company.
post_type
string
Type of post (e.g., "post").
account_type
string
The account type of the user (e.g., "Organization").
post_text_html
string
HTML version of the post text.
repost
object
Information on any repost of the original post (if applicable).
tagged_companies
array of string
Any companies tagged in the post.
tagged_people
array of string
Any people tagged in the post.
user_title
string
Title of the user (e.g., follower count).
timestamp
string
The timestamp of the data extraction.
input
object
Input URL of the post.
discovery_input
object
The 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? 🚋 <br/><br/>SEPTA’s Kawasaki LRV No. 9000, which first hit the tracks in November 1980, is back in its original retro paint scheme! 🎨 <br/><br/>Have you taken a ride on this blast from the past yet? ✨ ",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":null40},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!