Linkedin Profile Scraper
Pricing
from $10.00 / 1,000 results
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
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
| Field | Type | Required | Description |
|---|---|---|---|
profileUrls | string[] | Yes | LinkedIn profile URLs or usernames |
cookie | string | No | Your LinkedIn li_at session cookie. Required for regular profiles. |
Supported profile formats
https://www.linkedin.com/in/williamhgateslinkedin.com/in/williamhgatesin/williamhgateswilliamhgates(username only)
How to get your LinkedIn cookie
- Log in to LinkedIn in your browser
- Open DevTools (F12)
- Go to Application > Cookies >
https://www.linkedin.com - Find the cookie named
li_atand copy its Value - Paste it into the
cookieinput 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_atcookie.
Output
Each row in the dataset represents one LinkedIn profile.
Profile fields
| Field | Type | Example |
|---|---|---|
name | string | "Bill Gates" |
headline | string | "Co-chair at Bill & Melinda Gates Foundation" |
location | string | "Seattle, Washington, United States" |
summary | string | Profile description text |
profileUrl | string | "https://www.linkedin.com/in/williamhgates" |
profilePicture | string | Profile photo URL |
currentTitle | string | "Co-chair" |
allTitles | string[] | All job titles |
currentPositions | object[] | Current work positions |
pastPositions | object[] | Past work positions |
education | object[] | Education history |
followersCount | integer | 36000000 |
recentArticles | object[] | Recent posts/articles |
inputUrl | string | Original input URL |
order | integer | 0 |
scrapedAt | string | ISO timestamp |
Position fields
| Field | Type |
|---|---|
company | string |
companyUrl | string |
startDate | string |
endDate | string |
location | string |
Education fields
| Field | Type |
|---|---|
school | string |
schoolUrl | string |
startDate | string |
endDate | string |