LinkedIn Profile Scraper

Extract structured profile data from LinkedIn at scale.
Collect names, headlines, locations, about sections, work experience, education, skills, and more — all through a reliable, proxy-backed Playwright crawler built on Apify.

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✨ Features

• Full profile extraction — name, headline, location, about section, profile picture URL
• Work experience — titles, companies, duration, descriptions
• Education — schools, degrees, years attended
• Skills — complete list of profile skills
• Connection count — approximate follower/connection numbers
• Proxy-powered — uses Apify residential proxies to avoid blocks and rate limits
• Configurable concurrency — tune speed vs. reliability
• Headless by default — runs in headless Chromium for production, switch to headful for debugging
• Error resilient — failed profiles are logged with HTML snapshots for later review
• Clean JSON output — every profile is saved as a structured dataset row

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🚀 Quick Start

Run on Apify Cloud

1. Go to oneary/linkedin-profile-scraper
2. Click Try or Run
3. Paste LinkedIn profile URLs (one per line)
4. Hit Start

Run Locally with Apify CLI

# Clone and install
git clone https://github.com/oneary/linkedin-profile-scraper.git
cd linkedin-profile-scraper
npm install

# Run locally
apify run -p

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📥 Input

Field	Type	Default	Description
startUrls	array	[]	LinkedIn profile URLs to scrape (e.g. https://www.linkedin.com/in/username/)
maxProfiles	integer	10	Maximum number of profiles to scrape (0 = no limit)
proxyConfiguration	object	Apify proxy (RESIDENTIAL)	Proxy settings for reliable scraping
maxConcurrency	integer	5	Simultaneous browser pages
useHeadful	boolean	false	Run browser in visible mode (debug only)
waitForTimeoutSecs	integer	30	Max seconds to wait for page load

Example input:

{
  "startUrls": [
    { "url": "https://www.linkedin.com/in/satyanadella/" },
    { "url": "https://www.linkedin.com/in/sundarpichai/" }
  ],
  "maxProfiles": 25,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  },
  "maxConcurrency": 3
}

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📤 Output

Each scraped profile produces a JSON object like this:

{
  "name": "Satya Nadella",
  "headline": "Chairman and CEO at Microsoft",
  "location": "Redmond, Washington, United States",
  "about": "Satya Nadella is the Chairman and Chief Executive Officer of Microsoft...",
  "profilePicture": "https://media.licdn.com/dms/image/...",
  "experience": [
    {
      "title": "Chairman and CEO",
      "company": "Microsoft",
      "duration": "Feb 2014 - Present",
      "description": "Responsible for the overall strategy..."
    }
  ],
  "education": [
    {
      "school": "University of Chicago Booth School of Business",
      "degree": "MBA",
      "years": "1997 - 1999"
    }
  ],
  "skills": ["Leadership", "Cloud Computing", "AI", "Strategy", "M&A"],
  "connections": 500,
  "url": "https://www.linkedin.com/in/satyanadella/",
  "scrapedAt": "2026-05-30T12:00:00.000Z"
}

Results are stored in the Apify dataset and can be exported as JSON, CSV, XML, or Excel.

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🛡️ Proxy & Anti-Blocking

This actor uses Apify Residential Proxies by default — the gold standard for LinkedIn scraping. Key strategies:

• Random user-agent rotation per request
• Realistic viewport dimensions
• networkidle wait condition ensures full page render
• Configurable concurrency to stay under rate limits
• HTML snapshots saved on failure for forensics

Tip: For best results, use residential proxies from the same region as your target profiles.

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📦 Dependencies

• Crawlee — web scraping framework by Apify
• Playwright — browser automation
• Apify SDK — Apify platform integration

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🧪 Development

# Install dependencies
npm install

# Run with local input
apify run -p

# Debug with headful browser
apify run -p --input-variable useHeadful=true

# Run tests
npm test

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🔒 Disclaimer

This actor scrapes public LinkedIn profile data, visible to anyone without logging in. Always comply with LinkedIn's User Agreement and respect robots.txt directives. The authors are not responsible for misuse.

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📄 License

Apache 2.0 — see ./LICENSE for details.

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Built with ❤️ by oneary on Apify