linkedin-post-research

Search LinkedIn posts by keywords via Crustdata API and sort by engagement.

1.1k|200|Updated Mar 2, 2026
One-click install
npx skills add https://github.com/athina-ai/goose-skills --skill linkedin-post-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: linkedin-post-research
Source: https://github.com/athina-ai/goose-skills/tree/main/skills/capabilities/linkedin-post-research
Command: npx skills add https://github.com/athina-ai/goose-skills --skill linkedin-post-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps you find and analyze trending LinkedIn posts related to specific topics, enabling you to stay informed about industry conversations and identify valuable content.

Core Features & Use Cases

  • Keyword-based Search: Search LinkedIn posts using specific keywords.
  • Engagement Sorting: Results are deduplicated and sorted by engagement (reactions).
  • Flexible Output: Outputs can be in JSON, CSV, or a summary format.
  • Use Case: A marketing manager wants to understand what topics are currently resonating within the "AI sourcing" community on LinkedIn. They can use this Skill to find the most engaging posts from the past week.

Quick Start

Search for LinkedIn posts related to "AI sourcing" from the past week and output the results as a CSV file named 'results.csv'.

Frequently Asked Questions about linkedin-post-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find trending LinkedIn posts by engagement for a specific keyword?

The Skill searches LinkedIn posts by keywords via the Crustdata API, deduplicates results, and sorts them by engagement reactions to surface the most resonant content for your specific topic.

How do I search LinkedIn posts from the past week and export results to CSV?

You search LinkedIn posts using specific keywords for a chosen timeframe, then output the deduplicated, engagement-sorted results directly as a CSV file for flexible market intelligence analysis.

Do I need a Crustdata API token to research LinkedIn content?

Yes, researching LinkedIn content requires setting the CRUSTDATA_API_TOKEN environment variable for API authentication, along with the Python requests library to execute the search queries.

Can I use this for lead generation and market intelligence on LinkedIn?

Yes, you can use this for lead generation and market intelligence by researching engaging LinkedIn content around specific topics, which helps identify industry conversations and supports your content strategy.

What output formats are available when analyzing LinkedIn post engagement?

Available output formats for LinkedIn post engagement analysis include JSON, CSV, and a summary format, providing flexibility to integrate sorted engagement data into various downstream workflows.