LinkedIn Profile & Company Search (X-ray, No Account)

Find LinkedIn profiles and companies by job title, location, company and keywords, then read each public page: current company, experience, education, About, followers, posts and websites; for companies, size, industry, headquarters, specialties, locations and similar companies.

No LinkedIn account, no cookies. Searches run on Google ("X-ray search", the recruiters' trick:

site:linkedin.com/in "data engineer" "Austin"

What it does

Why this one

• Pay per person found, not per search page. No fee for search pages that bring nothing new, and duplicates are never charged.
• More results than one search allows. Google stops after about 300 results a search. The actor splits your search into one per title, location, company and country, runs them side by side and removes duplicates, so synonyms and nearby cities add new people instead of repeats.
• Country filter that means the country. Pick countries by code (GB, DE, IN, PK...) and the search covers LinkedIn's site for that country, so "UK" can't turn into Ukraine.
• The headline LinkedIn hides. Public pages rarely show a member's headline; Google's result does. Each row merges both: Google's headline with the page's location, company, education and About.
• No account risk, ever. No login, no cookies, no session to burn.
• Reliable search pages. Google's default results now often ignore site:; the actor asks for Google's Web results, which keep it, so every page stays on LinkedIn.

Input examples

Data engineers in Austin and Round Rock (two title variants):

{
    "titles": ["data engineer", "data engineering"],
    "locations": ["Austin", "Round Rock"],
    "maxItems": 200
}

Product managers in the UK and Germany who mention fintech:

{
    "titles": ["product manager"],
    "keywords": ["fintech"],
    "countries": ["GB", "DE"],
    "excludeKeywords": ["intern"]
}

Fintech companies in Austin:

{
    "searchType": "companies",
    "keywords": ["fintech"],
    "locations": ["Austin"]
}

Profiles and companies by URL:

{
    "startUrls": [
        { "url": "https://www.linkedin.com/in/williamhgates" },
        { "url": "https://www.linkedin.com/company/apify/" }
    ]
}

Output

One row per profile or company; dataType says which. search holds the Google result a row came from (query, position, title, snippet), and hydrated says whether the public page was read.

Profile (dataType: "profile"):

Company (dataType: "company"): name, industry, size, employees, headquarters, address, type, founded, specialties, website, followers, about, tagline, logo, locations, people (a few employees LinkedIn shows), similar, affiliated, posts, url.

Pricing

Pay per row: platform usage is included, so you never pay Apify compute or proxy traffic on top.

Example: 500 data engineers in Austin with details = $0.008 + $0.03 + 500 × $0.002 + 500 × $0.002 = $2.04.

People located outside your locations (with Only people located there), duplicates and profiles that aren't public are never charged. Runs with LinkedIn URLs only don't pay the search start. Turn off Read each profile's public page to pay only for what Google shows. Your spending limit is always respected.

Good to know

• What public pages don't show. Without an account LinkedIn hides experience titles of most members (the companies are there), skills, and contact details; About is cut at ~250 characters; some entries are masked (****). This actor doesn't log in, so it doesn't have them.
• Search results come from Google's copy and can lag a profile's latest change; the public page (read by default) corrects company and location.
• About 300 results a search. Add titles, locations or countries to find more: each combination is searched on its own.
• Profiles that aren't public are skipped with a note in the log and aren't charged.

Use it from your tools

Run it from the Apify API, Make, Zapier, n8n or Google Sheets, or call it from AI agents through the Apify MCP server. Export to JSON, CSV, Excel or HTML.