LinkedIn Posts Scraper - Company Pages & Keyword Search
Pricing
from $5.00 / 1,000 linkedin posts
LinkedIn Posts Scraper - Company Pages & Keyword Search
Scrape public LinkedIn posts by keyword or from any company page - text, author, likes, comments, and images. No login or cookies required.
Pricing
from $5.00 / 1,000 linkedin posts
Rating
0.0
(0)
Developer
Andrew
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
4 days ago
Last modified
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Scrape public LinkedIn posts without logging in, without cookies, and without risking an account. Search all of LinkedIn by keyword, or pull the complete post feed of any company page — with text, author, engagement counts, images, and top comments.
What you get
- Post content: full text, publish date, post URL and ID
- Engagement: like count, comment count, and up to 5 top comments per post (keyword search; company mode via the details option)
- Author data: name, profile URL, and follower count
- Media: image URLs attached to each post
- Keyword search across all public LinkedIn posts, with a date filter (last hour → last year)
- Company feeds: every recent post from any company, school, or showcase page
- Pagination cursor so you can collect thousands of posts across chained runs
- Export to JSON, CSV, or Google Sheets directly from the Apify console
Use cases
- Social listening — track what's being said about your brand, product, or category
- Content research — find the top-performing posts for any topic before writing your own
- Competitor monitoring — follow competitor company pages and benchmark their engagement
- Lead generation — find people actively posting about problems your product solves
- AI & LLM pipelines — feed fresh B2B conversation data into RAG systems and agents
How to use
- Pick a Mode:
- Keyword search — enter a Search keyword (e.g.
ai agents), optionally set Date posted - Company page posts — enter a Company page URL (e.g.
https://www.linkedin.com/company/microsoft) or just the handle (microsoft)
- Keyword search — enter a Search keyword (e.g.
- Set Max Items (default 50; 0 = unlimited)
- (Optional) Enable Fetch full post details to enrich company-feed posts with engagement counts, author info, and top comments
- Run the actor — results appear in the Dataset tab
Fetching more pages
After the run finishes, open the Key-value store tab → copy the NEXT_PAGE_ID value → paste it into Page ID on your next run. If NEXT_PAGE_ID is null, you've fetched everything.
Output format
Each dataset record:
{"url": "https://www.linkedin.com/posts/username_ai-agents-activity-7354600338621906944-RvXR","postId": "7354600338621906944","text": "There's way too much hype about AI agents. Here's your simple guide...","datePublished": "2026-07-20T19:56:02.566Z","likeCount": 718,"commentCount": 7,"authorName": "Jane Doe","authorUrl": "https://www.linkedin.com/in/janedoe","authorFollowers": 30863,"imageUrl": "https://media.licdn.com/dms/image/...","images": ["https://media.licdn.com/dms/image/..."],"topComments": [{ "author": "John Smith", "text": "Great breakdown!" }],"source": "search"}
Notes
- Only public posts are returned — no login or cookies are ever used.
- One result = one post. Detail enrichment is billed separately per post, and only when it succeeds.