Linkedin Post Research
Search LinkedIn posts by keywords, sorted by engagement or date.
npx goose-skills installDescription
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.
What this skill does
- 1Searches LinkedIn posts by one or more keywords, deduplicating results across keyword runs by unique post ID.
- 2Returns each post with author name, headline, profile URL, full text, reaction count, comment count, share count, date, and direct post URL.
- 3Sorts results by engagement (most reactions first) or by recency, and exports to JSON or CSV.
When to use
- Discovering who is actively posting about a topic to identify thought leaders or warm prospects in a space.
- Finding high-engagement posts to extract commenters as a warm lead pool before running the pain-language engagers pipeline.
- Researching what language your ICP uses when discussing a problem, to inform messaging and outreach copy.
Tools used
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Frequently asked questions
What is Linkedin Post Research?
Linkedin Post Research is a Claude Code skill for sourcing by GooseWorks AI. Search LinkedIn posts by keywords, sorted by engagement or date.
When should I use Linkedin Post Research?
Discovering who is actively posting about a topic to identify thought leaders or warm prospects in a space. Finding high-engagement posts to extract commenters as a warm lead pool before running the pain-language engagers pipeline.
How do I install Linkedin Post Research?
Run the install command (npx goose-skills install). Once the skill is in place, Claude Code loads it automatically whenever a task matches what it does.
Is Linkedin Post Research free to use?
The author distributes it as MIT, but the repository has no LICENSE file. The source is public on GitHub (gooseworks-ai/goose-skills).