A high-performance Python SDK for programmatically accessing LinkedIn profile, company, and job data with enterprise-grade reliability.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install linkdapi
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 linkdapi 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 LinkdAPI Python SDK?
The LinkdAPI skill provides a robust interface for developers and AI agents to programmatically retrieve professional data from LinkedIn. By leveraging the Openclaw Skills ecosystem, this tool allows for seamless integration of LinkedIn profile enrichment, company intelligence, and job market analysis directly into automated workflows. It utilizes the modern uv script pattern to ensure that data extraction scripts remain lightweight, reproducible, and free from global dependency conflicts.
Built for reliability, this skill supports everything from basic profile lookups to complex, asynchronous batch operations. Whether you are building a recruitment tool or a market research bot, using these Openclaw Skills ensures you have the most up-to-date professional data at your fingertips with minimal setup overhead.
LinkdAPI Python SDK Use Cases
- Automated lead enrichment by fetching profile headlines and work history.
- Market research through company industry and employee count analysis.
- Recruitment automation by searching for specific job roles and locations.
- Batch processing of professional profiles using high-speed asynchronous requests.
- Dynamic job board creation by aggregating the latest LinkedIn job postings.
How LinkdAPI Python SDK Works
- The AI agent identifies a request for LinkedIn-specific professional or company data.
- A temporary Python script is generated featuring the uv script header to manage the linkdapi dependency.
- The skill authenticates with the LinkdAPI service using a secure environment variable for the API key.
- Specific API methods like get_profile_overview or search_jobs are called to retrieve the requested information.
- The script is executed via uv run, which handles environment isolation and execution in a single step.
- The retrieved data is parsed, presented to the user, and the ephemeral script is cleaned up.
LinkdAPI Python SDK Setup
To begin using this skill within the Openclaw Skills framework, obtain an API key from the LinkdAPI website and set it as an environment variable in your terminal.
export LINKDAPI_API_KEY="your_api_key_here"
Ensure you have the uv CLI tool installed to run scripts using the recommended pattern. You can then execute queries using the following structure:
uv run your_script.py
LinkdAPI Python SDK Data Schema & Taxonomy
The skill returns structured JSON data categorized by entity type. Common fields included in the Openclaw Skills response include:
| Entity | Key Fields |
|---|---|
| Profiles | fullName, headline, location, summary, experience, skills |
| Companies | name, industry, employeeCount, headquarters, description |
| Jobs | title, company, location, postDate, jobDescription |
| Search | urn, type (People/Company/Post), relevanceScore |
LinkdAPI Python SDK Advanced Features
- Asynchronous support via AsyncLinkdAPI for up to 40x faster batch data retrieval.
- Inline dependency management using the uv script pattern for zero-config environments.
- Comprehensive search capabilities across people, posts, and company entities.
- Detailed URN-based lookups for deep-diving into work history and education.
- Graceful error handling and success flags for reliable Openclaw Skills automation.
SKILL.md
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