A powerful CLI-driven skill for comprehensive LinkedIn automation, ranging from profile scraping to Sales Navigator outreach.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install linkedin-skill
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install linkedin-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The LinkedIn skill is a robust automation tool designed to streamline professional networking and lead generation. By leveraging the Linked API and cloud-based browser technology, this Openclaw Skills integration allows developers to perform complex LinkedIn tasks—such as fetching deep profile data, sending personalized messages, and managing connections—directly through a CLI interface. It is built to handle the nuances of LinkedIn's platform, ensuring reliable data retrieval and action execution.
Whether you are building a recruitment pipeline or a social selling workflow, this skill provides the necessary endpoints to interact with both standard LinkedIn and Sales Navigator. Its ability to return structured JSON data makes it an ideal choice for developers looking to integrate professional social data into their own applications or automated agents.
To get started with this skill for Openclaw Skills, first install the CLI tool globally:
npm install -g @linkedapi/linkedin-cli
Next, perform the authentication setup by obtaining tokens from the Linked API dashboard and running:
linkedin setup --linked-api-token=YOUR_API_TOKEN --identification-token=YOUR_ID_TOKEN
The skill organizes data primarily through structured JSON responses. Results are categorized into people, companies, messages, and posts. Common fields include:
| Entity | Key Fields |
|---|---|
| Person | name, headline, experience, education, skills |
| Company | name, industry, size, locations, employees |
| Message | text, sender, timestamp, conversationId |
| Post | text, author, reactionsCount, comments |
All successful responses include a success: true flag, while errors provide detailed type and message metadata.
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