LinkedIn Profile Scraper (No Cookies) avatar

LinkedIn Profile Scraper (No Cookies)

Pricing

from $2.75 / 1,000 profiles

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LinkedIn Profile Scraper (No Cookies)

LinkedIn Profile Scraper (No Cookies)

Scrape complete LinkedIn profiles without cookies or login: experience, education, skills, languages, certifications, followers, contact websites and more.

Pricing

from $2.75 / 1,000 profiles

Rating

0.0

(0)

Developer

Pluckify

Pluckify

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

a day ago

Last modified

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✅ No cookies · ✅ No LinkedIn login · ✅ Your LinkedIn account is never used, so it can't be restricted

What is LinkedIn Profile Scraper?

LinkedIn Profile Scraper extracts complete LinkedIn profiles in bulk: name, headline, about, location, full work history (with on-site, hybrid or remote), education, skills, languages, certifications, contact websites, followers, connections, open-to-work and hiring badges, related profiles and verifications. No cookies, no LinkedIn account, no risk to your own profile.

Built by Pluckify on a fast, maintained LinkedIn data API: no browser, no proxies to configure, results in seconds. One Actor, one job: this one does exactly what its name says.

What data can you extract?

DataFields
Identityfirst and last name, headline, about, location, country, profile picture, banner
Careercurrent job title and company, complete experience with dates, location, employment and workplace type
Education & skillsschools, degrees, skills, languages, certifications, recommendations
Reachfollowers, connections, premium, creator, verified, open to work, hiring
Extrascontact websites, related profiles, verifications

Every item carries the input it came from, so you can join results back to your list.

How to use LinkedIn Profile Scraper

  1. Click Try for free and open the Input tab.
  2. Paste one or more profile URLs (https://www.linkedin.com/in/williamhgates/). Public identifiers (williamhgates) and profile URNs work too.
  3. Click Start. Results appear in the Output tab as they are scraped.
  4. Download them as JSON, CSV, Excel or HTML, or fetch them from the API.

Input example

{
"profileUrls": [
"https://www.linkedin.com/in/williamhgates/"
]
}

Output example

{
"id": "urn:li:fsd_profile:ACoAAA8BYqEBCGLg_vT_ca6mMEqkpp9nVffJ3hc",
"firstName": "Bill",
"lastName": "Gates",
"title": "Chair, Gates Foundation and Founder, Breakthrough Energy",
"titleLocalized": {
"en_US": "Chair, Gates Foundation and Founder, Breakthrough Energy"
},
"profilePictureUrl": "https://media.licdn.com/dms/image/...",
"profilePictureUrls": [
{
"url": "https://media.licdn.com/dms/image/...",
"width": 100,
"height": 100
},
{
"url": "https://media.licdn.com/dms/image/...",
"width": 200,
"height": 200
},
{
"url": "https://media.licdn.com/dms/image/...",
"width": 400,
"height": 400
},
{
"url": "https://media.licdn.com/dms/image/...",
"width": 800,
"height": 800
}
],
"location": "Seattle, Washington, United States",
"coverImageUrl": "https://media.licdn.com/dms/image/...",
"coverImageUrls": [
{
"url": "https://media.licdn.com/dms/image/...",
"width": 800,
"height": 200
},
{
"url": "https://media.licdn.com/dms/image/...",
"width": 1400,
"height": 350
}
],
"publicIdentifier": "williamhgates",
"url": "https://www.linkedin.com/in/williamhgates/",
"profileId": "ACoAAA8BYqEBCGLg_vT_ca6mMEqkpp9nVffJ3hc",
"geoLocationName": "Seattle, Washington, United States",
"geoCountryName": "United States",
"connectionType": "OUT_OF_NETWORK",
"creator": true,
"influencer": true,
"premium": true,
"isVerified": true,
"geoUrn": "urn:li:fsd_geo:104116203",
"creatorInfo": {
"hashTags": [
"#books",
"#climatechange",
"#healthcare",
"#innovation",
"#sustainability"
],
"website": "https://gatesnot.es/AI"
},
"memberId": "251749025",
"openToWork": false,
"hiring": false,
"inRemembrance": false,
"topVoice": true,
"followerCount": 40764350,
"connectionsCount": 8,
"countryCode": "US",
"jobTitle": "Co-chair",
"companyName": "Gates Foundation",
"companyPublicId": "gates-foundation",
"companyLinkedinUrl": "https://www.linkedin.com/company/gates-foundation/",
"currentPosition": {
"positionUrn": "urn:li:fsd_profilePosition:(ACoAAA8BYqEBCGLg_vT_ca6mMEqkpp9nVffJ3hc,392598211)",
"name": "Gates Foundation",
"companyId": "8736",
"companyUrn": "urn:li:fsd_company:8736",
"publicIdentifier": "gates-foundation",
"url": "https://www.linkedin.com/company/gates-foundation/",
"title": "Co-chair"
},
"currentSchool": null,
"openProfile": false,
"description": "Chair of the Gates Foundation. Founder of Breakthrough Energy. Co-founder of Microsoft. Voracious reader. Avid traveler. Active blogger.",
"languages": [],
"certifications": [],
"volunteerCauses": [],
"skills": [],
"experiences": [
{
"name": "Gates Foundation",
"jobTitle": "Co-chair",
"description": "",
"dateRange": "2000 - Present",
"current": true,
"ongoing": true,
"positionUrn": "urn:li:fsd_profilePosition:(ACoAAA8BYqEBCGLg_vT_ca6mMEqkpp9nVffJ3hc,392598211)",
"positionGroupUrn": "urn:li:fsd_profilePositionGroup:(ACoAAA8BYqEBCGLg_vT_ca6mMEqkpp9nVffJ3hc,f0723c2e436a6bda4ab6fb5a97d650cfe30b9990)",
"positionGroupId": "f0723c2e436a6bda4ab6fb5a97d650cfe30b9990",
"timePeriod": {
"startDate": {
"year": 2000
},
"endDate": null
},
"totalDuration": "26 yrs 10 mos",
"company": {
"url": "https://www.linkedin.com/company/gates-foundation/",
"name": "Gates Foundation",
"logo": "https://media.licdn.com/dms/image/...",
"companyId": "8736",
"urn": "urn:li:fsd_company:8736"
}
},
{
"name": "Breakthrough Energy",
"jobTitle": "Founder",
"description": "",
"dateRange": "2015 - Present",
"current": false,
"ongoing": true,
"positionUrn": "urn:li:fsd_profilePosition:(ACoAAA8BYqEBCGLg_vT_ca6mMEqkpp9nVffJ3hc,1836104012)",
"positionGroupUrn": "urn:li:fsd_profilePositionGroup:(ACoAAA8BYqEBCGLg_vT_ca6mMEqkpp9nVffJ3hc,e259382720cb8b581205a34c2c592d712a9091fd)",
"positionGroupId": "e259382720cb8b581205a34c2c592d712a9091fd",
"timePeriod": {
"startDate": {
"year": 2015
},
"endDate": null
},
"totalDuration": "11 yrs 10 mos",
"company": {
"url": "https://www.linkedin.com/company/breakthrough-energy/",
"name": "Breakthrough Energy",
"logo": "https://media.licdn.com/dms/image/...",
"companyId": "19141006",
"urn": "urn:li:fsd_company:19141006"
}
},
{
"name": "Microsoft",
"jobTitle": "Co-founder",
"description": "",
"dateRange": "1975 - Present",
"current": false,
"ongoing": true,
"positionUrn": "urn:li:fsd_profilePosition:(ACoAAA8BYqEBCGLg_vT_ca6mMEqkpp9nVffJ3hc,392599749)",
"positionGroupUrn": "urn:li:fsd_profilePositionGroup:(ACoAAA8BYqEBCGLg_vT_ca6mMEqkpp9nVffJ3hc,379b0fee813e578bb10050b852dc16ba755ef821)",
"positionGroupId": "379b0fee813e578bb10050b852dc16ba755ef821",
"timePeriod": {
"startDate": {
"year": 1975
},
"endDate": null
},
"totalDuration": "51 yrs 10 mos",
"company": {
"url": "https://www.linkedin.com/company/microsoft/",
"name": "Microsoft",
"logo": "https://media.licdn.com/dms/image/...",
"companyId": "1035",
"urn": "urn:li:fsd_company:1035"
}
}
],
"educations": [
{
"name": "Harvard University",
"description": "",
"dateRange": "1973 - 1975",
"current": false,
"ongoing": false,
"educationUrn": "urn:li:fsd_profileEducation:(ACoAAA8BYqEBCGLg_vT_ca6mMEqkpp9nVffJ3hc,157656829)",
"schoolLogo": "https://media.licdn.com/dms/image/...",
"schoolUrl": "https://www.linkedin.com/school/harvard-university/",
"timePeriod": {
"startDate": {
"year": 1973
},
"endDate": {
"year": 1975
}
}
},
{
"name": "Lakeside School",
"description": "",
"dateRange": "",
"current": false,
"ongoing": false,
"educationUrn": "urn:li:fsd_profileEducation:(ACoAAA8BYqEBCGLg_vT_ca6mMEqkpp9nVffJ3hc,157676006)",
"schoolLogo": "https://media.licdn.com/dms/image/...",
"schoolUrl": "https://www.linkedin.com/school/lakeside-school/"
}
],
"joinDate": {
"month": 5,
"year": 2013
},
"websites": [
{
"url": "https://gatesnot.es/sourcecode-li",
"category": "BLOG"
}
],
"recommendations": [],
"recommendationsGiven": [],
"testScores": [],
"publications": [],
"projects": [],
"patents": [],
"honors": [],
"organizations": [],
"courses": [],
"volunteerExperiences": [],
"industry": "Philanthropy",
"industryUrn": "urn:li:fsd_industry:131",
"primaryLocale": "en_US",
"supportedLocales": [
"en_US"
],
"descriptionLocalized": {
"en_US": "Chair of the Gates Foundation. Founder of Breakthrough Energy. Co-founder of Microsoft. Voracious reader. Avid traveler. Active blogger."
},
"relatedProfiles": [],
"verifications": [
{
"type": "IDENTITY",
"label": "Identity",
"detail": "Verified by LinkedIn in May 2026"
}
],
"entityType": "Person",
"input": "https://www.linkedin.com/in/williamhgates/",
"scrapedAt": "2026-10-29T10:42:00.000Z"
}

How much does it cost?

You pay only for the results you get, with no subscription and no proxy costs:

ResultFree & Bronze plansSilver planGold, Platinum & Diamond plans
Profile$2.80$2.75$2.75

Inputs that return nothing are free: they show up as items with an error field. The Pricing tab always shows the current prices. Set a maximum cost per run and the Actor stops cleanly when it is reached. On Apify's free plan, each run returns up to 25 results so you can try the Actor; any paid Apify plan removes the limit.

Use cases

  • 🎯 Lead enrichment: turn a list of LinkedIn URLs into CRM-ready records with current job and company.
  • 🧑‍💼 Recruiting: screen experience, education and skills at scale.
  • 🔬 Market research: map who works where, and in which role.

Other Pluckify LinkedIn scrapers

FAQ

Do I need a LinkedIn account or cookies?

No. The Actor never logs in to LinkedIn and never asks for your cookies, so your own account is never at risk.

Why does an input return an error?

NOT_FOUND means it doesn’t exist or is no longer public. INVALID_INPUT explains what to fix. TEMPORARILY_UNAVAILABLE is transient: run the same input again. None of them is charged.

The Actor only extracts publicly visible data. Personal data is protected by regulations such as the GDPR in the EU: only scrape it with a legitimate reason, and check with your lawyers if you are unsure. Pluckify is not affiliated with LinkedIn.

Can I use it from my code or with other tools?

Yes. Run it through the Apify API, the JavaScript or Python client, or connect it to Make, Zapier, n8n, Google Sheets, Slack, or an AI agent through MCP. Schedule it to keep your data fresh.

Something doesn’t work as expected?

Open an issue in the Issues tab with the input you used: we answer quickly and fix fast.