👤 LinkedIn Profile Scraper: Bulk Public Data, No Login

Overview

LinkedIn Profile Scraper turns a list of public linkedin.com/in/ URLs into structured JSON records. For each profile you get name, headline, location, about section, full work experience, education history, skills, connection count and follower count. It never asks for cookies, an account or a login of any kind, so your LinkedIn identity is never exposed and can never be flagged.

Public LinkedIn profiles are visible to anyone on the web. The actor loads each one in a real Chromium browser routed through residential IPs, exactly like an ordinary human visitor. Because your credentials are never used, your account stays completely untouched and safe.

Reliability posture: blocked, private, or not-found profiles are never charged. You only pay for a profile record that was actually delivered.

✅ No login required | ✅ No cookies | ✅ Pay only for scraped profiles | ✅ MCP-ready for AI agents

Features

Bulk profile enrichment. Feed up to 500 profile URLs per run and get structured records back. Full field coverage. Name, headline, location, about, experience, education, skills, connections, followers. No account risk. Never authenticates as you, so there is no LinkedIn identity to restrict. Residential proxy per session. Fresh IP per profile with real Chrome fingerprints. Free failure handling. Blocked, private or not-found profiles are never charged.

How it works

LinkedIn runs one of the most aggressive anti-bot systems on the web, and scraping while logged in is the fastest way to lose an account. This actor never authenticates. It reads only the public profile pages LinkedIn serves to logged-out visitors, using Crawlee's PlaywrightCrawler with real Chrome fingerprints and a fresh residential proxy session per profile so the traffic looks human.

For each URL, the actor loads the page in a real browser, scrolls to trigger lazy-loaded sections, and extracts every visible field. Blocked, private, or not-found profiles are handled gracefully and never billed. A final _type: "summary" record is appended to each run with counts (scraped, blocked, not_found, no_name).

🧾 Input configuration

{
  "profileUrls": [
    "https://www.linkedin.com/in/satyanadella",
    "https://www.linkedin.com/in/williamhgates"
  ],
  "maxResults": 10,
  "proxy": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}

📤 Output format

Real record delivered by a live run against linkedin.com/in/satyanadella on 2026-07-15:

{
  "profile_url": "https://www.linkedin.com/in/satyanadella",
  "name": "Satya Nadella",
  "headline": "Chairman and CEO at Microsoft",
  "location": "Redmond, Washington, United States",
  "experience": [],
  "education": [],
  "skills": [],
  "connections": "500+ connections",
  "followers": "12M followers",
  "scraped_at": "2026-07-15T01:09:48.048Z"
}

about, experience, education, and skills are included only when LinkedIn's public page actually exposes that section for the profile; empty or private sections are dropped rather than sent as null.

Every profile record contains these fields:

Field	Description
🔗 profile_url	Canonical LinkedIn profile URL
🙍 name	Full name of the person
💬 headline	LinkedIn headline (current role and company)
📍 location	Location as shown on the profile
📝 about	About / summary section text
💼 experience	Array of experience entries (title, company, duration, description)
🎓 education	Array of education entries (school, degree, field, dates)
🛠️ skills	List of skills
🤝 connections	Connection count string (e.g. 500+ connections)
⭐ followers	Follower count string
⏱️ scraped_at	ISO 8601 timestamp of extraction

💼 Common use cases

Sales and lead enrichment Turn a list of profile URLs into full, structured contact intelligence. Verify a prospect's current role and seniority before you reach out.

Recruiting and sourcing Import candidate experience, education and skills into your ATS. Find department heads and passive talent across a target company set.

People-data products Build datasets of roles, tenures and skill graphs at scale. Analyse career paths and skill distributions across a cohort.

Due diligence and research Profile founders, executives or key hires from their public pages. Map who holds which role across a set of competitors or portfolio companies.

🚀 Getting started

1. Paste one or more LinkedIn profile URLs into the profileUrls field using the https://www.linkedin.com/in/username format. Up to 500 per run.
2. Set maxResults to cap how many profiles to return (default 10, up to 500). Use 1 to 3 for a quick test.
3. Leave the proxy on the default RESIDENTIAL group. LinkedIn blocks datacenter IPs.
4. Click Start. The actor loads each page in a real browser, scrolls to trigger lazy sections, and extracts every visible field.
5. Export the dataset as JSON, CSV, Excel, or pull it via API or MCP into your CRM, ATS or AI agent.

FAQ

Can I scrape profiles without a LinkedIn account? Yes. Public profiles are accessible to anyone. The actor never uses your credentials or session cookies, so your account is never at risk.

Will this get my LinkedIn account banned? No. Because the actor never logs in as you, there is no account identity to ban. It behaves like an anonymous public visitor.

Why do some profiles return blocked? A small share of residential IPs are pre-flagged by LinkedIn. The actor automatically retries up to 2 times with fresh sessions. Success rates on residential proxy are typically 80 to 95 percent. Blocked profiles are not charged.

Does this work for private profiles? No. Private profiles require authentication. The actor returns a not_found or no_name status for them and does not charge you.

What is the maximum throughput? Roughly 10 to 15 profiles per minute with the default single-browser cadence. For 500 profiles, allow around 40 to 50 minutes.

How much does it cost? Pay per event: $0.04 per profile successfully scraped, which is $40 per 1,000 profiles. The first 10 profiles on every account are free for life. Blocked, not-found and private profiles are never charged.

Can I use it inside an AI agent? Yes. It is exposed as an MCP tool. See below.

Use in Claude, ChatGPT & any MCP agent

https://mcp.apify.com/?tools=themineworks/linkedin-profile-scraper

Or call it programmatically with the Apify client:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('themineworks/linkedin-profile-scraper').call({
  profileUrls: ['https://www.linkedin.com/in/satyanadella'],
  maxResults: 10,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

🛠️ Related LinkedIn actors

Found the profiles. Now enrich the rest of the graph with the full LinkedIn wedge:

• LinkedIn Company Scraper: firmographics (industry, size, HQ, founded, website) from a company page URL.
• LinkedIn Employees Scraper: every public employee profile at a target company, by role.
• LinkedIn Jobs Scraper: public job listings by keyword and location, useful for flagging accounts that are hiring.
• LinkedIn Post Scraper: public LinkedIn posts and their authors by keyword, for social listening and lead discovery.
• LinkedIn Candidate Finder: a matched candidate shortlist from role, skills, and location.
• B2B Leads Finder: named decision-maker contacts with business emails and phone numbers from a company or domain list.

Typical flow: linkedin-employees or linkedin-candidate-finder discovers the profile URLs, linkedin-profile-scraper enriches each one with full detail, linkedin-company-details fills in firmographics on the account.

Disclaimer: This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation. LinkedIn is a registered trademark of LinkedIn Corporation. All trademarks are the property of their respective owners. Use scraped public data in line with GDPR/CCPA and your local laws.

Found a bug or have a feature request? Open an issue on the actor's Apify Console page or reach out through the Apify profile.