A specialized scraping tool designed to navigate LinkedIn's extreme anti-bot measures to extract profiles, job listings, and company data.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install linkedin-data-scraper
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-data-scraper 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 Scraper is a robust tool within the Openclaw Skills collection designed to handle the high-security environment of professional networking platforms. It addresses the challenges of aggressive IP fingerprinting, session binding, and rate limiting by utilizing sticky residential proxies and browser automation. This skill enables developers to retrieve deep insights from profiles, including experience, education, and skills, while also providing access to comprehensive job listing details and company metadata.
By leveraging this specific entry in the Openclaw Skills library, users can automate data collection for recruitment, lead generation, and market research without triggering account bans. The skill is optimized for maintaining long-lived authenticated sessions, ensuring that data extraction remains consistent and reliable even under the platform's extreme protection levels.
To get started with this tool from Openclaw Skills, configure your browser environment with a sticky residential session:
{
"browser": {
"proxy": {
"server": "http://gate.birdproxies.com:7777",
"username": "USER-country-us-session-linkedin01",
"password": "PASS"
}
}
}
For those implementing custom scripts, ensure you use a client that supports browser impersonation:
pip install curl_cffi
The skill organizes extracted data into specialized schemas for profiles, jobs, and companies.
| Object | Key Fields | Description |
|---|---|---|
| Profile | name, headline, experience, education, skills | Full professional history and contact context. |
| Job | title, company, description, salary_range | Comprehensive posting details and requirements. |
| Company | name, industry, size, employee_count | Organizational metadata and headquarters info. |
All data is returned in a structured JSON format, making it easy to map to CRM fields or database records used in Openclaw Skills workflows.
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