LinkedIn Profile Scraper

🔎 What is LinkedIn Profile Scraper?

LinkedIn Profile Scraper turns a list of LinkedIn profile URLs into clean, structured data: name, headline, current company, full work experience, education, location, followers and more.

• 🔓 No login, no cookies. Your LinkedIn account is never used or put at risk.
• 💸 $3.50 per 1,000 profiles. Down to $2.50 on Business plans.
• ✅ Failed profiles are free. Private, deleted, mistyped or duplicate URLs are never charged.
• 🛑 Budget-safe. The run stops at your Max cost per run and never scrapes more than you pay for.
• ⚡ Fast. About 1 minute per 100 profiles, 2 batches in parallel.
• 📦 Any format. JSON, CSV, Excel, HTML, or straight from the API.

What data does LinkedIn Profile Scraper extract?

👤 Identity	💼 Career	🎓 Background	📈 Reach
Full name	Headline	Education	Followers
First / last name	Current company	Honors & awards	Connections
City, country	Company ID & title	About section	Influencer flag
Profile photo	Full experience history	Bio links	Recent posts
Banner image	Start / end dates		Recent activity
LinkedIn IDs	Job descriptions		People also viewed

⚠️ Only public data. Fields a person hides on their public profile come back empty. Emails and phone numbers are not included.

💰 How much does it cost?

You pay only for profiles that are actually delivered. Price depends on your Apify plan:

Apify plan	Price per 1,000 profiles
Free	$3.50 (try up to 10 profiles)
Starter	$3.50
Scale	$3.00
Business and higher	$2.50

Plus a flat $0.005 per run. Platform usage is included, so there are no surprise compute bills.

💡 Example: 10,000 profiles on the Starter plan = 10 × $3.50 = $35.00. If 400 of them are dead links, you pay for 9,600 = $33.60.

🚀 How to scrape LinkedIn profiles

1. Click Try for free (or Start).
2. Paste LinkedIn profile URLs into Profile URLs, one per line.
3. Optional: set Max profiles, or Max cost per run in the run options.
4. Click Start and watch progress in the status bar: Scraped 300/1000 profiles…
5. Open the Output tab and download your data.

💡 Big lists welcome. Put thousands of URLs in a single run. They are split into batches of 100 automatically.

⬇️ Input

Field	Type	Required	Description
profileUrls	array	✅	LinkedIn profile URLs. Any format works: with or without https:// or www., a trailing /, or a country subdomain like uk.linkedin.com. Duplicates and non-profile links are removed automatically and never charged.
maxProfiles	integer	–	Stop after this many profiles. Leave empty to scrape all.

{
  "profileUrls": [
    "https://www.linkedin.com/in/satyanadella/",
    "linkedin.com/in/williamhgates"
  ],
  "maxProfiles": 100
}

⬆️ Output

Each profile is one row in the dataset. View it as a table in the Output tab, or export it as JSON, CSV, Excel or HTML.

{
  "name": "Satya Nadella",
  "first_name": "Satya",
  "last_name": "Nadella",
  "position": "Chairman and CEO at Microsoft",
  "city": "Redmond, Washington, United States",
  "country_code": "US",
  "about": "As chairman and CEO of Microsoft, I define my mission…",
  "current_company": {
    "name": "Microsoft",
    "company_id": "microsoft",
    "title": "Chairman and CEO",
    "location": "Greater Seattle Area"
  },
  "experience": [
    {
      "title": "Chairman and CEO",
      "company": "Microsoft",
      "location": "Greater Seattle Area",
      "start_date": "Feb 2014",
      "end_date": "Present"
    }
  ],
  "education": [
    {
      "title": "The University of Chicago Booth School of Business",
      "start_year": "1994",
      "end_year": "1996"
    }
  ],
  "followers": 12297268,
  "connections": 500,
  "people_also_viewed": [
    { "name": "Tony Bates", "profile_link": "https://www.linkedin.com/in/tony-bates-679227a5" }
  ],
  "linkedin_id": "satyanadella",
  "inputUrl": "https://www.linkedin.com/in/satyanadella/"
}

All output fields

Field	Description
name, first_name, last_name	Full name and its parts
position	Headline under the name
city, location, country_code	Location as shown on the profile, ISO country code
about	Full About section
current_company	name, company_id, title, location
experience[]	Title, company, location, start and end date, description
education[]	School, school URL, start and end year, description
honors_and_awards[]	Awards listed on the profile
bio_links[]	Links the person added to their profile
followers, connections	Audience numbers
posts[], activity[]	Recent public posts and activity, with links
people_also_viewed[], similar_profiles[]	Related profiles, great for finding more leads
avatar, banner_image, default_avatar	Image URLs; default_avatar is true when there is no real photo
influencer, memorialized_account	true / false
id, linkedin_id, linkedin_num_id, url	LinkedIn identifiers and canonical URL
inputUrl	The LinkedIn URL this row was scraped from (normalized)

🎯 Use cases

	Who	What they do with it
🤝	Sales teams	Enrich lead lists with job title, company and location before outreach
🧑‍💼	Recruiters	Pull experience and education to build candidate shortlists
🗂️	CRM owners	Keep job titles and companies up to date
📊	Analysts	Map who works where, in which roles, across companies
🤖	AI agents	Look up a person's background on demand via API or MCP

🔌 Integrations and API

Connect LinkedIn Profile Scraper to Make, Zapier, n8n, Google Sheets, Slack, webhooks and more from the Integrations tab, or put it on a schedule.

Run it and get results in one call (get your token in Console → Settings → API & Integrations):

curl -X POST "https://api.apify.com/v2/acts/true-data~linkedin-profile-scraper/run-sync-get-dataset-items?token=<APIFY_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"profileUrls": ["https://www.linkedin.com/in/satyanadella/"]}'

Ready-made code for JavaScript, Python, CLI, OpenAPI and MCP is on the API tab.

💡 AI agents: this Actor works out of the box with the Apify MCP server in Claude, Cursor and other MCP clients.

❓ FAQ

Do I need a LinkedIn account or cookies?

No. You only provide profile URLs. No login, no cookies, no browser extension.

Why are some profiles missing from my results?

The profile is private, deleted, or the URL is mistyped. Those are skipped and not charged. The run log shows how many.

My links look like linkedin.com/in/ACoAA… or come from Sales Navigator

Those are internal LinkedIn IDs (from Sales Navigator or CRM exports), not public profile URLs. They are skipped and not charged. Use the public profile URL instead: https://www.linkedin.com/in/<name>/.

Does it return emails or phone numbers?

No. It returns public profile data only.

What happens when my budget runs out?

The run stops cleanly. Everything scraped so far stays in your dataset and you pay only for that.

Can I scrape company pages or LinkedIn search results?

Not with this Actor. It accepts profile URLs (linkedin.com/in/…) only.

Is it legal to scrape LinkedIn profiles?

This Actor collects publicly available data only. You are responsible for how you use it, including compliance with data-protection laws such as GDPR when you process personal data.

I found a bug or need a feature

Open an issue on the Issues tab. We usually reply within a few hours.