A comprehensive LinkedIn intelligence skill for deep-diving into professional profiles, career history, and social engagement metrics.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install keyapi-linkedin-user-analytics
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install keyapi-linkedin-user-analytics using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is LinkedIn User Analytics (KeyAPI)?
The keyapi-linkedin-user-analytics skill is a robust professional intelligence module designed for the Openclaw Skills ecosystem. It provides a unified interface to the KeyAPI MCP service, allowing developers to retrieve granular data from LinkedIn, including full profiles, contact information, skill endorsements, and comprehensive work histories. This skill is essential for users who need to automate identity resolution and profile enrichment at scale.
By integrating this tool into your Openclaw Skills library, you gain the ability to perform deep career audits and content activity mapping. The skill handles the complexity of LinkedIn's internal identifiers (URNs) and provides a cache-first approach to ensure data retrieval is both efficient and cost-effective for professional research workflows.
LinkedIn User Analytics (KeyAPI) Use Cases
- Conduct deep-dive recruitment and talent audits by analyzing career trajectories and skill endorsements.
- Perform lead enrichment by retrieving verified contact details and social graph metrics for outreach.
- Analyze thought leadership and content strategy by auditing a user's posts, comments, and video activity.
- Map competitive landscapes through professional interest groups and company followership data.
How LinkedIn User Analytics (KeyAPI) Works
- Identity Resolution: The workflow begins by resolving a LinkedIn username into a unique internal URN using the get_user_profile tool.
- Data Retrieval: Users select specific nodes (e.g., experience, skills, publications) to fetch deep-data using the previously resolved URN.
- Local Caching: The skill automatically checks the .keyapi-cache directory to see if a fresh local copy of the data exists before making an external API call.
- Reporting: Once the raw JSON data is retrieved, it is synthesized into a structured professional intelligence report for analysis.
LinkedIn User Analytics (KeyAPI) Setup
To get started with this skill, ensure you have Node.js v18+ installed and a valid token from keyapi.ai.
# Install required dependencies
npm install
# Set your environment variable
export KEYAPI_TOKEN=your_token_here
# Verify your connection and list available tools
node scripts/run.js --platform linkedin --list-tools
LinkedIn User Analytics (KeyAPI) Data Schema & Taxonomy
The skill utilizes a structured file-based cache to organize LinkedIn data efficiently. Response files are stored in the .keyapi-cache/ directory, partitioned by date and endpoint name.
| Level | Description |
|---|---|
| .keyapi-cache/ | The root directory for all cached LinkedIn data. |
| YYYY-MM-DD/ | Daily folders used to manage data freshness. |
| tool_name/ | Sub-directories named after specific tools (e.g., get_user_posts). |
| {params_hash}.json | The final data payload stored as a hashed JSON file for quick retrieval. |
LinkedIn User Analytics (KeyAPI) Advanced Features
- Multi-section fetching: Use boolean flags like include_experiences or include_skills to retrieve full profile details in a single API request.
- Intelligent Pagination: Built-in support for page-based and token-based pagination for large datasets like comments and posts.
- Precision Search: Filter talent discovery by title, geocode_location, current_company, and industry filters.
- Automated Retry Logic: Robust error handling that automatically retries 500-series errors to ensure high reliability in automated Openclaw Skills workflows.
SKILL.md
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