LinkedIn Profile Scraper

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Scrapes comprehensive data from public LinkedIn profiles: identity, work experience, education, skills, languages, certifications, and more. Optionally infers and verifies professional email addresses.

Built with Crawlee for Python + Camoufox (stealthy Firefox) for reliable scraping with minimal bot detection.

Features

• Extracts full profile data: name, headline, summary, location, connections, followers, experience, education, skills, languages, certifications, publications, patents, volunteer work, recommendations
• Infers professional email addresses from company domain patterns
• Optional SMTP email verification
• Optional LinkedIn session cookie for authenticated scraping (unlocks more data)
• Optional Apify proxy or local Tor proxy support
• Pipeline mode: consume URLs from a named RequestQueue (for use with a discovery actor)
• Graceful per-profile error handling — one failure never aborts the whole run

Input

Example input

{
"profileUrls":[
"https://www.linkedin.com/in/williamhgates",
"https://www.linkedin.com/in/jeffweiner08"
],
"maxConcurrency":1,
"requestDelay":4000,
"proxyConfiguration":{"useApifyProxy":true}
}

Using a session cookie

Providing a LinkedIn session cookie (li_at) allows the scraper to access authenticated profile data and greatly reduces the risk of bot blocks.

To find your cookie:

1. Log in to LinkedIn in your browser
2. Open DevTools → Application → Cookies → linkedin.com
3. Copy the value of li_at
4. Paste it into the linkedinCookies input field

The cookie is marked isSecret and will not appear in logs.

Output

Each profile produces one record in the default dataset. On success:

{
"linkedinUrl":"https://www.linkedin.com/in/williamhgates",
"linkedinPublicUrl":"https://linkedin.com/in/williamhgates",
"publicIdentifier":"williamhgates",
"urn":"ACoAAABxN1IBk82L_jCY2opFKNZpSCCcsr6X1MU",
"firstName":"Bill",
"lastName":"Gates",
"fullName":"Bill Gates",
"headline":"Co-chair, Bill & Melinda Gates Foundation",
"summary":"...",
"profilePictureUrl":"https://...",
"backgroundPictureUrl":"https://...",
"location":"Seattle, Washington, United States",
"connections":500,
"followers":35000000,
"email":"bill.gates@gatesfoundation.org",
"emailVerificationStatus":"valid",
"jobTitle":"Co-chair",
"jobStartedOn":"2021-01",
"jobLocation":"Seattle, Washington, United States",
"jobStillWorking":true,
"currentJobDuration":"4 yrs",
"currentJobDurationInYrs":4.0,
"companyName":"Bill & Melinda Gates Foundation",
"companyIndustry":"Non-profit Organizations",
"companyWebsite":"https://www.gatesfoundation.org",
"companyLinkedin":"https://www.linkedin.com/company/gatesfoundation",
"companySize":"1001-5000",
"experiences":[
{
"companyName":"Bill & Melinda Gates Foundation",
"title":"Co-chair",
"jobDescription":"...",
"jobStartedOn":"2021-01",
"jobEndedOn":null,
"jobStillWorking":true,
"jobLocation":"Seattle, Washington, United States",
"companyWebsite":"https://www.gatesfoundation.org",
"companyIndustry":"Non-profit Organizations",
"companySize":"1001-5000"
}
],
"educations":[
{
"schoolName":"Harvard University",
"degree":"...",
"fieldOfStudy":"...",
"startYear":1973,
"endYear":1975
}
],
"skills":[{"title":"Strategic Planning"}],
"languages":[{"name":"English","proficiency":"NATIVE_OR_BILINGUAL"}],
"certifications":[],
"publications":[],
"patents":[],
"volunteerWork":[],
"recommendations":[],
"succeeded":true
}

On failure, a minimal error record is pushed and the run continues:

{
"inputUrl":"https://www.linkedin.com/in/nonexistent-profile",
"succeeded":false,
"error":"Profile not found or access denied."
}

Email verification status values

Pipeline mode

This actor can consume profile URLs from a named Apify RequestQueue instead of the profileUrls input. This is useful when chaining it with a discovery actor that enqueues profiles for processing.

{
"inputRequestQueueName":"linkedin-discovery-output"
}

Set inputRequestQueueName to the same value as the discovery actor's outputRequestQueueName. The scraper will drain the queue and process all URLs found.

Anti-detection notes

• Keep maxConcurrency at 1 (default). LinkedIn blocks aggressive parallel scraping quickly.
• Increase requestDelay if you observe bot detection. 5000–10000 ms is safer for large batches.
• Use a proxy (proxyConfiguration) when running on the Apify platform — residential proxies work best.
• Provide a session cookie (linkedinCookies) to reduce blocks and access more profile data.
• The scraper uses Camoufox — a hardened Firefox with realistic browser fingerprints — which passes most bot-detection heuristics.

Limitations

• Scrapes only publicly visible data. Fields hidden behind LinkedIn's login wall may not be available without a session cookie.
• LinkedIn's page structure changes frequently; some fields may occasionally fail to parse.
• Email inference is pattern-based (e.g. firstname.lastname@company.com) and not guaranteed to be correct. Use verifyEmail: true for higher accuracy.