LinkedIn Profile Scraper (No Login / No Cookies / Safe)

A production-grade, high-performance Apify Actor for scraping public LinkedIn profiles.

Unlike other LinkedIn scrapers on the market, this Actor does not require cookies, logins, or active account sessions. It runs entirely logged-out, eliminating the risk of your personal or business LinkedIn accounts getting flagged or banned.

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🚀 Key Differentiators & Benefits

• Zero Ban Risk: No login credentials or cookies are required. Your LinkedIn accounts are 100% safe.
• No Cookie Expiry: Since no session cookies are used, your scraping pipelines will never break due to "session expired" errors.
• Blazing Fast & Lightweight: Built on top of Crawlee and CheerioCrawler (raw HTML parsing), avoiding heavy browser automation overhead. It is up to 10x faster and uses a fraction of the memory/CPU compared to Puppeteer/Playwright alternatives.
• Apify Proxy Integration: Automatically routes requests through high-quality proxy IPs to ensure high success rates and prevent rate limiting.
• Pay-Per-Event (PPE) Friendly: You only pay for what you successfully scrape!

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🛠️ How it Works

The Actor requests the public profile page (https://www.linkedin.com/in/<slug>) using a randomized desktop User-Agent and routes it through Apify Proxy. Public profiles contain structured schema.org Person markup embedded inside an application/ld+json script tag. The Actor parses this JSON-LD payload to extract rich, structured profile information without needing to authenticate or execute heavy client-side JavaScript.

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📥 Input Settings

The Actor accepts the following input fields:

Field	Type	Description	Required / Default
profiles	Array of strings	A list of LinkedIn usernames/slugs (e.g. satyanadella) or full profile URLs (e.g. https://www.linkedin.com/in/satyanadella).	Required
proxyConfiguration	Object	Connection settings for proxy routing. Apify Proxy is used by default.	Default: { "useApifyProxy": true }
maxProfiles	Integer	Caps the maximum number of profiles to scrape. Useful for budget control.	Optional / Null

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📤 Output Fields

The Actor produces clean, flat records in the default dataset. Below are the fields extracted:

Field	Type	Description
fullName	String	The full name of the user.
headline	String	The profile's headline (often current job title/role).
about	String	The user's biography/about summary.
location	String	Geolocation (e.g. "Redmond, Washington, United States").
currentCompany	String	The company name of their current primary employment.
currentTitle	String	Their current job title.
experience	Array	Full employment history (company, company URL, title, location, start/end dates).
education	Array	Education history (school name, school URL, start/end dates).
followers	Integer	Total number of followers on their profile.
connections	Integer	Total number of connections (if available).
skills	Array	A list of endorsed/listed skills.
languages	Array	Spoken/written languages.
profileUrl	String	Canonical URL of the profile (https://www.linkedin.com/in/<slug>).
scrapeStatus	String	Either success or error.
scrapedAt	String	ISO timestamp of the scraping event.

Example Output JSON

{
    "fullName": "Satya Nadella",
    "headline": "Chairman and CEO at Microsoft",
    "about": "Satya Nadella is Chairman and CEO of Microsoft...",
    "location": "Redmond, Washington, United States",
    "currentCompany": "Microsoft",
    "currentTitle": "Chairman and CEO",
    "experience": [
        {
            "company": "Microsoft",
            "companyUrl": "https://www.linkedin.com/company/microsoft",
            "location": "Greater Seattle Area",
            "title": "Chairman and CEO",
            "startDate": "2014-02",
            "endDate": null
        }
    ],
    "education": [
        {
            "school": "University of Chicago Booth School of Business",
            "schoolUrl": "https://www.linkedin.com/school/chicago-booth/",
            "startDate": "1995",
            "endDate": "1997"
        }
    ],
    "followers": 10500000,
    "connections": 500,
    "skills": ["Enterprise Software", "Cloud Computing", "SaaS"],
    "languages": ["English", "Hindi"],
    "profileUrl": "https://www.linkedin.com/in/satyanadella",
    "scrapeStatus": "success",
    "scrapedAt": "2026-06-21T18:45:00.000Z"
}

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💰 Pay-Per-Event (PPE) Pricing

This Actor is configured with Pay-Per-Event billing:

1. actor-start: Charged once per Actor run to cover initialization costs.
2. profile-scraped: Charged per successfully scraped profile. Profiles that fail to scrape (e.g. login-walled, invalid username) are marked with scrapeStatus: 'error' and are not charged the profile success fee.

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🔗 Sibling Actors

If you are scraping LinkedIn data for lead generation or market analysis, you may also find our other specialized tools helpful:

• LinkedIn Jobs Scraper: Extract job listings, descriptions, salary details, and employer info without any session cookies.