LinkedIn Scraper for Openclaw

A specialized scraping tool designed to navigate LinkedIn's extreme anti-bot measures to extract profiles, job listings, and company data.

luis2404123
v1.0.0
Mar 5, 2026
0
184
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install linkedin-data-scraper

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

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).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is LinkedIn Scraper?

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.

LinkedIn Scraper Use Cases

  • Automating talent sourcing and recruitment pipelines by extracting candidate profiles.
  • Generating B2B sales leads and prospecting lists based on company and title data.
  • Monitoring job market trends and salary ranges for competitive analysis.
  • Collecting company updates and employee growth metrics for market research.
  • Building niche job boards by aggregating real-time LinkedIn job listings.

How LinkedIn Scraper Works

  1. Configure a sticky residential proxy to ensure the session maintains a consistent IP address, preventing instant logouts.
  2. Initiate a browser-based login session to handle LinkedIn's mandatory authentication and cookie management.
  3. Navigate the platform using natural patterns, such as starting from the dashboard and utilizing the search interface.
  4. Trigger lazy-loaded content by programmatically scrolling through the target profile or job listing page.
  5. Extract structured data from the rendered DOM and export it into a developer-friendly JSON format.
  6. Enforce conservative rate limits and intervals between requests to mimic human browsing behavior.

LinkedIn Scraper Setup

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

LinkedIn Scraper Data Schema & Taxonomy

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.

LinkedIn Scraper Advanced Features

  • Sticky session persistence to bind authentication cookies to a single residential IP.
  • Human-like navigation simulations including random delays and non-target page visits.
  • Multi-account management for distributing high-volume scraping tasks safely.
  • Support for Sales Navigator accounts to access advanced search filters and higher daily limits.
  • Automated DOM interaction to ensure all lazy-loaded sections (like skills and endorsements) are fully captured.

SKILL.md


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