LinkedIn Post Search Scraper

Find public LinkedIn posts by keyword, exact phrase, hashtag, person, or company—then enrich the discoveries with full public post text, author details, engagement counts, timestamp, and media when LinkedIn exposes them.

Unlike tools that require a LinkedIn account, cookies, or Sales Navigator, this Actor discovers posts through public web search indexes (DuckDuckGo, Bing, and Google) and reads LinkedIn’s public embed surface. It is designed for durable research and monitoring workflows, not authenticated surveillance.

What you get

Field	Description
query	Search query that discovered the post
url, urn, post_id	Canonical post identifiers
text, text_preview, title	Full public text when available, with search preview fallback
author_name, author_headline, author_profile_url	Public author details
reactions_count, comments_count	Public engagement counters
posted_relative	Relative post time exposed by LinkedIn
media	Public post image URLs
enrichment_status	enriched, preview_only, or not_requested

Example output

{
  "query": "generative AI hiring",
  "url": "https://www.linkedin.com/posts/janedoe_genai-hiring-activity-1234567890",
  "urn": "urn:li:activity:1234567890",
  "post_id": "1234567890",
  "text": "We're hiring 3 ML engineers to build our generative AI roadmap this quarter...",
  "text_preview": "We're hiring 3 ML engineers to build our generative AI roadmap...",
  "title": "Jane Doe on LinkedIn: We're hiring 3 ML engineers...",
  "author_name": "Jane Doe",
  "author_headline": "VP of Engineering at Acme AI",
  "author_profile_url": "https://www.linkedin.com/in/janedoe",
  "reactions_count": 214,
  "comments_count": 18,
  "posted_relative": "3d",
  "media": ["https://media.licdn.com/dms/image/example.jpg"],
  "enrichment_status": "enriched"
}

Example input

{
  "queries": ["generative AI hiring", "site reliability engineering"],
  "maxResultsPerQuery": 25,
  "enrichPosts": true,
  "country": "us",
  "language": "en"
}

Use cases

• Brand, executive, and competitor mention monitoring
• Founder, creator, and thought-leader discovery
• B2B buying-signal and hiring-signal research
• Topic research for content and market intelligence
• Building cited datasets of public professional discussion

Coverage you can trust

Search engines do not index every LinkedIn post. This Actor returns the publicly indexed subset and labels rows where LinkedIn enrichment is unavailable instead of inventing missing fields. Private, deleted, login-only, and non-indexed posts are outside scope.

Input parameters

Parameter	Required	Description
queries	Yes	Keywords, exact phrases, hashtags, people, or companies to find in publicly indexed LinkedIn posts.
maxResultsPerQuery	No	Maximum unique public posts returned for each query.
enrichPosts	No	Fetch each post's public detail to add full text, author, reactions, comments, timestamp, and media when available.
country	No	Two-letter search country code such as us, gb, de, or in.
language	No	Two-letter search interface language such as en, de, fr, or es.
proxyConfiguration	No	Pre-configured proxy used only for optional LinkedIn post enrichment. Leave as-is unless you have a specific need.

Limitations

• Covers only posts indexed by public search engines (DuckDuckGo, Bing, Google) — private, deleted, login-only, and non-indexed posts are out of scope.
• enrichment_status tells you exactly what you got for each row: enriched (full post detail), preview_only (search snippet only), or not_requested.
• Engagement counts, timestamp, and media are only present when LinkedIn exposes them publicly on the post's embed page.

Related Actors

• LinkedIn Post Scraper — pull full post detail directly from known post URLs
• LinkedIn Company Employees Scraper — go from a mentioned company to its people for the same B2B research workflow

Last verified: 2026-09

More scrapers at thirdwatch.dev.