LinkedIn Profile Scraper (No Cookies, No Login) avatar

LinkedIn Profile Scraper (No Cookies, No Login)

Pricing

$0.50 / 1,000 profiles

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LinkedIn Profile Scraper (No Cookies, No Login)

LinkedIn Profile Scraper (No Cookies, No Login)

Extract public LinkedIn profile data from profile URLs, with no account, cookies or login. Get name, headline, location, about, experience with titles and dates, education, languages, followers, connections, badges, recent posts and articles. $1 per 2,000 profiles found; not found is free.

Pricing

$0.50 / 1,000 profiles

Rating

0.0

(0)

Developer

ProfileHunt

ProfileHunt

Maintained by Community

Actor stats

0

Bookmarked

17

Total users

11

Monthly active users

10 days ago

Last modified

Security

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LinkedIn Profile Scraper turns public LinkedIn profile URLs into clean, structured LinkedIn profile data: name, headline, location, about, work experience with job titles and dates, education, languages, followers, connections, badges, and the person's recent posts and articles.

You don't need a LinkedIn account, cookies or a browser extension, so your own account is never at risk. You pay $2 per 1,000 profiles found, and profiles that are private, removed or invalid are free.

Why use this LinkedIn scraper?

  • No login, no cookies. It reads only the public profile, the view anyone sees without signing in.
  • Pay only for results. Not-found and private profiles cost nothing, and there's no extra charge for compute.
  • Bulk and fast. Paste thousands of URLs; they're scraped in parallel batches of 100.
  • Spreadsheet-ready. Every row has flat current_company, current_title and current_company_url columns next to the full nested data.
  • Activity included. Recent posts (text, date, likes) and articles come with every profile at no extra cost.
  • Spending limit respected. Set a maximum cost per run and the scraper stops before it goes over.

How to scrape LinkedIn profiles

  1. Click Try for free.
  2. Paste LinkedIn profile URLs into Profile URLs, one per line.
  3. Click Start.
  4. Download the results as JSON, CSV, Excel or HTML, or fetch them with the Apify API.

Input

The only input is a list of profile URLs. All of these formats work:

  • https://www.linkedin.com/in/satyanadella
  • linkedin.com/in/satyanadella (no https)
  • https://uk.linkedin.com/in/... (country subdomains)
  • URLs with tracking parameters such as ?utm_source=...
{
"profileUrls": [
"https://www.linkedin.com/in/williamhgates",
"linkedin.com/in/satyanadella"
]
}

Duplicate URLs are removed, so you're never charged twice for the same profile in a run.

What LinkedIn profile data can you extract?

FieldDescription
input_urlThe URL you submitted, for matching rows back to your list
statusok, gone (removed or invalid), unavailable (not public) or failed
current_company, current_title, current_company_urlCurrent role, as flat columns
full_name, first_name, last_nameName
headlineProfile headline
aboutThe About section
location, countryCity or region, and ISO country code
photo_urlProfile photo
experience[]Company, company URL, job title (current roles), location, description, start and end dates
education[]School, school URL, start and end dates
languages[]Languages listed on the profile
followers, connectionsFollower count, and connections (LinkedIn caps the public count at 500)
creator, badges[]Creator mode and badges such as Top Voice
recent_posts[]Post URL, date, text and likes
recent_articles[]Article URL, headline, cover image, date and likes
last_post_atDate of the latest post or article
public_id, profile_urlThe profile's public ID and canonical URL
scraped_atWhen the profile was fetched

Every field is always present: null when the profile doesn't show it, [] for an empty list. Emails and phone numbers are not collected.

Output example

Real output for one profile (long text and lists shortened):

{
"input_url": "https://www.linkedin.com/in/williamhgates",
"status": "ok",
"current_company": "Gates Foundation",
"current_title": "Co-chair",
"current_company_url": "https://www.linkedin.com/company/gates-foundation",
"public_id": "williamhgates",
"profile_url": "https://www.linkedin.com/in/williamhgates",
"full_name": "Bill Gates",
"first_name": "Bill",
"last_name": "Gates",
"photo_url": "https://media.licdn.com/dms/image/v2/D5603AQF-RYZP55jmXA/profile-displayphoto-shrink_200_200/B56ZRi8g.aGsAY-/0/1736826818802",
"headline": "Chair, Gates Foundation and Founder, Breakthrough Energy",
"about": "Chair of the Gates Foundation. Founder of Breakthrough Energy. Co-founder of Microsoft. Voracious reader. Avid...",
"location": "Seattle, Washington, United States",
"country": "US",
"experience": [
{
"company": "Gates Foundation",
"company_url": "https://www.linkedin.com/company/gates-foundation",
"title": "Co-chair",
"location": null,
"description": null,
"start_date": "2000",
"end_date": null
},
{
"company": "Breakthrough Energy",
"company_url": "https://www.linkedin.com/company/breakthrough-energy",
"title": "Founder",
"location": null,
"description": null,
"start_date": "2015",
"end_date": null
},
{
"company": "Microsoft",
"company_url": "https://www.linkedin.com/company/microsoft",
"title": "Co-founder",
"location": null,
"description": null,
"start_date": "1975",
"end_date": null
}
],
"education": [
{
"school": "Harvard University",
"school_url": "https://www.linkedin.com/school/harvard-university/",
"start_date": "1973",
"end_date": "1975"
}
],
"languages": [],
"followers": 40744893,
"connections": 8,
"creator": true,
"badges": [
"Creator",
"Top Voice"
],
"last_post_at": "2026-10-21T18:16:54.169Z",
"recent_posts": [
{
"url": "https://www.linkedin.com/posts/williamhgates_vaccines-deliver-over-us-30-billion-in-economic-activity-7518737092244414464-hfbz",
"posted_at": "2026-10-21T18:16:54.169Z",
"text": "Vaccines are among the best investments a country can make to save lives, protect communit...",
"likes": 766
}
],
"recent_articles": [
{
"url": "https://www.linkedin.com/pulse/affordable-climate-win-look-sky-bill-gates-eoj7e",
"headline": "For an affordable climate win, look to the sky",
"image_url": null,
"published_at": "2026-10-12T20:10:59.000Z",
"likes": 3933
}
],
"scraped_at": "2026-10-22T10:56:42.961Z"
}

How much does it cost to scrape LinkedIn profiles?

$2.00 per 1,000 profiles found, with lower prices on Apify's Silver and Gold plans.

  • 1,000 profiles found: $2.00
  • 10,000 profiles found: $20.00
  • Profiles that are private, removed or invalid: $0

There's no separate compute charge. To cap a run's cost, set Maximum cost per run in the run options; the scraper stops before going over it.

Use cases

  • Lead enrichment: add titles, companies and locations to a CRM list of LinkedIn URLs.
  • Recruiting: review candidates' experience and education in bulk.
  • Job-change alerts: schedule a run and compare current_company week to week.
  • Sales timing: use last_post_at and recent_posts to find active people and conversation starters.
  • Creator and influencer research: compare followers, badges and posting activity.
  • Market research: see where people at a company worked before and where they studied.

Integrations and API

Run the scraper from your own code or tools through the Apify API:

  • No-code: Make, Zapier, n8n, Google Sheets, Airtable, Slack and webhooks, through Apify integrations.
  • Code: the Apify API, or the Python and JavaScript clients (apify-client).
  • Scheduling: run it daily or weekly from Apify Schedules.
  • AI agents: call it from MCP-compatible assistants through the Apify MCP server.

Limits and responsible use

  • Only data visible on the public profile is returned; this is not the full signed-in profile. Some fields are hidden by LinkedIn for some members, and they come back as null.
  • A profile set to private, or removed, returns status: "unavailable" or "gone" and isn't charged.
  • Public data can still be personal data under laws such as the GDPR and CCPA. Collect only what you need, have a lawful basis for processing it, keep it secure, and don't use it for spam. LinkedIn's terms also restrict some automated collection. You are responsible for how you use the results; if in doubt, ask a lawyer.

FAQ

Do I need a LinkedIn account, login or cookies?

No. The scraper reads public profiles without signing in, so nothing touches your LinkedIn account.

How do I scrape a LinkedIn profile from its URL?

Paste the URL into Profile URLs and click Start. The profile comes back as one row in the dataset.

How many profiles can I scrape per run?

As many as you like. They're processed in batches of 100, and a run keeps going until the list is done or your spending limit is reached.

Am I charged for profiles that aren't found?

No. You pay only for rows with status: "ok".

Why are some fields empty?

LinkedIn doesn't show every field publicly, and hides some details for some members. Job titles are shown for current roles only.

Does it return email addresses or phone numbers?

No. It only returns what's on the public profile.

How do I match results to my input list?

Every row includes input_url, exactly as you submitted it.

Collecting publicly available data is generally lawful, but data-protection laws still apply to personal data, and the rules depend on where you are and what you do with the data. See Limits and responsible use above.

Can I use it with Make, Zapier, n8n or Python?

Yes. Use the Apify integrations or the API; see Integrations and API above.

Can I schedule recurring runs?

Yes. Create a task with your URLs and attach an Apify Schedule.

Support

Found a bug or need a field? Open an issue on the Issues tab and we'll reply quickly.

Disclaimer

This is an independent tool. It 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.