LinkedIn Scraper — Public Profiles, Posts, Jobs & Companies 🚀

Extract high-quality LinkedIn data without needing a LinkedIn account. This scraper bypasses strict login walls by leveraging public Google indexes and residential proxies to deliver clean, structured data at lightning speed.

🌟 Why use this scraper?

Unlike other LinkedIn scrapers that require you to risk your personal LinkedIn accounts or burn through expensive cookies, this Actor relies entirely on public-facing data.

• Zero Risk: No LinkedIn login required. You will never get your account banned.
• Cost-Effective: Highly optimized architecture fetches data in batches. Pay only for what you extract.
• Lightning Fast: Concurrent asynchronous requests allow for extracting thousands of records in minutes.
• Clean Data: Returns beautifully structured JSONs directly from hidden JSON-LD schemas, ensuring accurate metadata, full post texts, and precise engagement metrics.

🎯 What can you extract?

This all-in-one tool supports multiple target types:

1. Profiles (profile): Extract user biographies, work experiences, education, and skills.
2. Companies (company): Extract company descriptions, employee counts, and follower metrics.
3. Jobs (search_jobs): Quickly pull lists of available job postings for specific roles, including title, company name, location, and the direct application link.
4. People Search (search_people): Discover professionals by keyword or industry without spending hours clicking through pages.

💡 Use Cases

• Lead Generation: Build massive lists of professionals and companies in your target niche.
• Recruitment / HR: Monitor available talent or scrape competing job offers to adjust your hiring strategy.
• Market Research: Analyze trends, job market demand, and company footprints completely anonymously.

⚙️ Input Configuration

The scraper supports various modes depending on the target_type selected.

1. Profiles & Companies

To scrape specific profiles or companies, you can input a single username/URL or a comma-separated list of them to batch-process them in a single run.

• Target: williamhgates, satyanadella
• Target Type: profile (or company)
• Limit: (Ignored in this mode)

2. Search People

To find profiles based on a keyword.

• Target: machine learning engineer
• Target Type: search_people
• Limit: 10 (or any number up to 500. Determines how many profiles to extract).

3. Search Jobs

To scrape available job listings for a specific role.

• Target: full stack
• Target Type: search_jobs
• Limit: 30
• Job Search Filters: You can use the dedicated UI fields for Location, Date Posted, Remote/Hybrid/On-site, and Experience Level to fine-tune your job search.

Field	Type	Description
proxy	Object	(Highly Recommended) Use Apify Residential Proxies for maximum success rate.

📊 Example Output (Profile)

{
  "_type": "profile_info",
  "data": {
    "urn": "https://www.linkedin.com/in/williamhgates",
    "name": "Bill Gates",
    "headline": "Co-chair, Bill & Melinda Gates Foundation",
    "experiences": [...],
    "educations": [...],
    "skills": ["Philanthropy", "Software Development"]
  }
}

⚠️ Important Notes

• Proxies are essential: LinkedIn heavily restricts requests from datacenter IPs. Please ensure you enable Apify Residential Proxies in your configuration for reliable results.
• Public Data Only: This scraper cannot access private profiles, connections, or data hidden behind strict privacy settings. If a user hides their posts from search engines, they cannot be scraped.