Linkedin Profile Scraper avatar

Linkedin Profile Scraper

Pricing

from $10.00 / 1,000 results

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Linkedin Profile Scraper

Linkedin Profile Scraper

Scrape LinkedIn public profiles without login. Get name, headline, experience, education, followers, and recent articles.

Pricing

from $10.00 / 1,000 results

Rating

5.0

(8)

Developer

Crawler Bros

Crawler Bros

Maintained by Community

Actor stats

5

Bookmarked

45

Total users

26

Monthly active users

20 days

Issues response

19 days ago

Last modified

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Scrape LinkedIn profiles to get name, headline, work experience, education, followers, and recent articles. Supports cookie-based authentication for scraping any profile. Without a cookie, only public/influencer profiles are accessible.

Input

FieldTypeRequiredDescription
profileUrlsstring[]YesLinkedIn profile URLs or usernames
cookiestringNoYour LinkedIn li_at session cookie. Required for regular profiles.

Supported profile formats

  • https://www.linkedin.com/in/williamhgates
  • linkedin.com/in/williamhgates
  • in/williamhgates
  • williamhgates (username only)
  1. Log in to LinkedIn in your browser
  2. Open DevTools (F12)
  3. Go to Application > Cookies > https://www.linkedin.com
  4. Find the cookie named li_at and copy its Value
  5. Paste it into the cookie input field

The cookie typically lasts several months before expiring.

Example input

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

Note: Without a cookie, only public/influencer profiles (e.g. Bill Gates, Satya Nadella) will return data. Regular profiles require a valid li_at cookie.

Output

Each row in the dataset represents one LinkedIn profile.

Profile fields

FieldTypeExample
namestring"Bill Gates"
headlinestring"Co-chair at Bill & Melinda Gates Foundation"
locationstring"Seattle, Washington, United States"
summarystringProfile description text
profileUrlstring"https://www.linkedin.com/in/williamhgates"
profilePicturestringProfile photo URL
currentTitlestring"Co-chair"
allTitlesstring[]All job titles
currentPositionsobject[]Current work positions
pastPositionsobject[]Past work positions
educationobject[]Education history
followersCountinteger36000000
recentArticlesobject[]Recent posts/articles
inputUrlstringOriginal input URL
orderinteger0
scrapedAtstringISO timestamp

Position fields

FieldType
companystring
companyUrlstring
startDatestring
endDatestring
locationstring

Education fields

FieldType
schoolstring
schoolUrlstring
startDatestring
endDatestring