linkedin-post-research
Search LinkedIn posts by keywords, sorted by engagement or date. Use when researching what people are saying about a topic on LinkedIn, finding high-engagement content, identifying thought leaders, or discovering warm leads through post engagement. Returns author, post text, reactions, comments, shares, post URL, and date. No LinkedIn cookies or login required.
npx skills add gooseworks-ai/goose-skills --skill linkedin-post-research --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# LinkedIn Post Research Search LinkedIn for posts matching keywords via Apify. Returns posts sorted by engagement or date, with author info, full text, reaction counts, and direct URLs. No LinkedIn cookies. No login. Just keywords in, posts out. ## When to Auto-Load Load this skill when: - User says "search LinkedIn posts", "what are people saying about X on LinkedIn", "find LinkedIn content about" - User wants to find high-engagement posts on a topic - User wants to identify who's posting about a specific topic (thought leader discovery) - User wants to find posts to extract commenters from (warm lead pipeline) ## Prerequisites ### Apify API Token Required for searching LinkedIn posts. Set in `.env`: ``` APIFY_API_TOKEN=your_token_here ``` No LinkedIn cookies, login, or session tokens needed. That's the only setup. --- ## How It Works 1. Takes one or more keywords 2. Calls the `apimaestro/linkedin-posts-search-scraper-no-cookies` Apify actor 3. Returns posts with author, text, engagement metrics, date, and URL 4. Deduplicates across keywords by `activity_id` 5. Sorts by engagement (total reactions) descending, or by date ## Quick Start ```bash # Single keyword search python3 skil
- When to Auto-Load
- Prerequisites
- Apify API Token
- How It Works
- Quick Start
- CLI Reference
- Apify Actor Details
- Output Schema
- Output Columns (CSV)
- Cost
- Error Handling
Single keyword search
python3 skills/capabilities/linkedin-post-research/scripts/search_posts.py \
Multiple keywords
Sort by date (most recent first)
Output as CSV
Summary table
curl -X POST "https://api.apify.com/v2/acts/apimaestro~linkedin-posts-search-scraper-no-cookies/runs?token=$APIFY_API_TOKEN" \
Check run status
curl "https://api.apify.com/v2/acts/apimaestro~linkedin-posts-search-scraper-no-cookies/runs/{RUN_ID}?token=$APIFY_API_TOKEN"
When status is SUCCEEDED, fetch resultsWhat does the linkedin-post-research skill do?
Search LinkedIn posts by keywords, sorted by engagement or date. Use when researching what people are saying about a topic on LinkedIn, finding high-engagement content, identifying thought leaders, or discovering warm leads through post engagement. Returns author, post text, reactions, comments, shares, post URL, and date. No LinkedIn cookies or login required.
How do I install it?
Run `npx skills add gooseworks-ai/goose-skills --skill linkedin-post-research --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From gooseworks-ai/goose-skills, a repository with 1,091 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.