Linkedin Posts Search Scraper | No Cookies

🚀 Search LinkedIn Posts Data in Seconds

LinkedIn post search scraper to find posts containing specific keywords or phrases. Get comprehensive data including post content, reactions, comments count, and media attachments.

For other LinkedIn actors, check: https://apify.com/apimaestro

✨ Key Features

• No account needed: Don't risk your account security by sharing your cookies and don't get your account restricted or banned!
• Keyword-based post search
• Post content and media
• Reaction counts by type (likes, comments, etc.)
• Post URLs for sharing
• Author details
• Media attachments (images, articles, etc.)
• Sorting options (by relevance or date posted)
• Pagination support

🔧 Simple Usage

Simply provide a search keyword or phrase to find relevant LinkedIn posts.

Sort Types

• relevance (default): Returns posts most relevant to your search keyword
• date_posted: Returns the most recent posts matching your search keyword

Filtering by Companies

You can filter posts to only show content from specific companies by providing their LinkedIn company URNs (unique identifiers) as a comma-separated list.

To get company URNs, you can either:

• Use our Company Details actor to get company information including the URN
• Extract it from a LinkedIn search URL, e.g., in https://www.linkedin.com/search/results/content/?fromOrganization=%5B%221441%22%2C%221035%22%5D&keywords=coding, the URNs are 1441 (Google) and 1035 (Microsoft)

Filter by Author's Companies

You can filter posts to only show content written by authors who work at specific companies by providing their LinkedIn company URNs as a comma-separated list in the author_company_urns parameter.

For example, to only see posts written by employees of Microsoft (1035) and Apple (1045), set: author_company_urns=1035,1045

Pagination Support

Each search request returns up to 50 posts per page.

Page Number is the field used for pagination. It's 1 by default.

• Page 1: Returns posts 1-50
• Page 2: Returns posts 51-100
• Page 3: Returns posts 101-150
• And so on...

How to use pagination:

1. Start with page_number=1 to get the first 50 results
2. To see the next 50 results, set page_number=2
3. Continue incrementing the page number to see more results