A comprehensive LinkedIn intelligence tool for retrieving company profiles, employee directories, job listings, and content activity.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install keyapi-linkedin-company-analysis
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-company-analysis 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 Company Analysis (KeyAPI)?
The LinkedIn Company Analysis skill is a high-performance integration designed for Openclaw Skills that provides granular intelligence on corporate entities. By leveraging the KeyAPI MCP service, this skill allows users to extract comprehensive data including organizational structures, historical content activity, and real-time job market signals directly into their AI workflows.
It is an essential component for developers and analysts using Openclaw Skills who need to automate competitive intelligence, talent mapping, or brand voice audits. The skill is built with efficiency in mind, featuring a robust caching mechanism and a unified workflow for resolving company identifiers and job details.
LinkedIn Company Analysis (KeyAPI) Use Cases
- Researching company profiles, industry classification, and headquarters locations for competitive profiling.
- Mapping organizational structures through employee directories and headcount data to identify key contacts.
- Auditing content strategy and brand messaging by analyzing published LinkedIn posts and engagement patterns.
- Identifying hiring trends and growth indicators through job listing counts and advanced role filters.
- Benchmarking role requirements by extracting detailed job descriptions and specific skill needs.
How LinkedIn Company Analysis (KeyAPI) Works
- Resolve the company identifier by calling get_company_profile with a URL slug to obtain the unique company_id required for deeper analysis.
- Inspect the API schema to define specific parameters for targeted research, such as experience level filters or post sorting.
- Execute targeted tool calls to retrieve specific data points like employee lists, job details, or post history.
- Store all responses in a local .keyapi-cache directory to optimize performance and reduce API credit consumption for future Openclaw Skills sessions.
- Synthesize the gathered data into a structured intelligence report covering company overview, people, hiring velocity, and content activity.
LinkedIn Company Analysis (KeyAPI) Setup
To use this skill within Openclaw Skills, ensure you have Node.js v18 or higher and a valid API token from KeyAPI.
# 1. Install necessary dependencies
npm install
# 2. Configure your environment variable
export KEYAPI_TOKEN=your_token_here
# 3. Verify the connection by listing available tools
node scripts/run.js --platform linkedin --list-tools
LinkedIn Company Analysis (KeyAPI) Data Schema & Taxonomy
The skill manages data through structured JSON responses and a hierarchical local cache.
| Tool | Required Input | Key Data Points Provided |
|---|---|---|
| get_company_profile | company (slug) | Size, industry, description, follower count, and company_id |
| get_company_people | company_id | Employee directory, headcount, and role-specific data |
| get_company_jobs | company_id | Job listings, seniority, location type, and employment type |
| get_job_detail | job_id | Full job description, responsibilities, and required skills |
| get_company_posts | company_id | Post content, engagement metrics, and timestamps |
LinkedIn Company Analysis (KeyAPI) Advanced Features
- Automated company_id resolution from LinkedIn URL slugs to enable seamless tool chaining.
- Granular job market filtering including experience level, remote/hybrid status, and low-competition role flags.
- Intelligent cache-first policy that checks local storage before issuing live API calls to save time and credits.
- Support for detailed job analysis including extraction of internal requirements and qualification benchmarking.
- Robust error handling with automatic retries for 500-level errors to ensure workflow stability in Openclaw Skills.
SKILL.md
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