LinkedIn Profile Data & LinkedIn Profile Finder, No Cookies

Build and enrich LinkedIn lead lists without login or cookies — search for decision-makers by company & job title, or paste profile/company URLs in bulk. Get name, headline, experience, education, followers, company size, industry and 70+ fields per record.

🎯 What it does

You feed the actor LinkedIn URLs (profiles or companies) OR a search criteria (keyword + optional industry, or "decision-makers at this company") — it returns clean, structured rows ready for a CRM, sheet, or downstream agent.

Mode	Input	What it returns
1: Lookup Profile by URL (lookupByUrl)	LinkedIn profile URLs	1 row per URL, 46 fields, plus a work email when findEmails is on. Cost cap: maxItemsMode1.
2: Lookup Company by URL/Domain (companyLookup)	Company URLs or raw domains	1 row per input, 26 fields. Cost cap: maxItemsMode2.
3: Search Leads (searchLead)	Company URLs + optional job title	Slim profile rows for decision-makers matching the title. Cost caps: maxItemsMode3 (total) + searchLeadCount (per-company).
4: Search Companies (searchCompany)	Keyword + optional industries	Full company rows (the same 26 fields as Mode 2). Cost cap: maxItemsMode4.

• 46 fields per profile — full_name, headline, about, current job_title + company, full experiences[] / educations[], follower_count, verification flags, parsed location, current-employer enrichment (industry, employee count, year founded), languages, and a work email (verified) or emailGuess (unverified) with its email_status when you turn on findEmails.
• 26 fields per company — company_name, description, tagline, industries[], specialties[], employee_count, employee_range, year_founded, website, logo_url, follower_count, full HQ address, locations[], affiliated_companies[].
• 6 advanced filters — follower range, must-have email, open-to-work, country, industry — applied across all modes.

Work emails: turn on findEmails (Mode 1) and the actor looks for each person's work email address. An address is found for about half of profiles, and email_status says how sure it is. A verified address (valid — the mailbox accepts mail) goes in email. An unverified one (risky — the company's mail server accepts any address, so delivery is not guaranteed) goes in emailGuess instead, and email stays N/A. It is slower — up to a minute per profile. From 6 November 2026 each profile delivered with a verified email in email costs an extra $0.03 ("Email found"); an emailGuess is free, and a profile without an address costs the profile price only. mustHaveEmail turns the search on and keeps only profiles with an address in either column; fetched profiles are billed even if your filters exclude them. Phone numbers are not available.

📦 What you get — output sample

{
  "entity_type": "profile",
  "input": "https://www.linkedin.com/in/satyanadella/",
  "linkedin_url": "https://www.linkedin.com/in/satyanadella",
  "full_name": "Satya Nadella",
  "first_name": "Satya",
  "last_name": "Nadella",
  "headline": "Chairman and CEO at Microsoft",
  "job_title": "Chairman and CEO",
  "company": "Microsoft",
  "company_industry": "Software Development",
  "company_employee_count": 228000,
  "follower_count": 11489320,
  "city": "Redmond",
  "country": "United States",
  "is_premium": true,
  "is_verified": true,
  "experiences": [ { "title": "CEO", "company": "Microsoft", "starts_at": "2014-02-01" } ],
  "educations": [ { "school": "University of Chicago", "degree": "MBA" } ],
  "profile_image_url": "https://media.licdn.com/dms/image/.../satya-nadella.jpg"
}

{
  "entity_type": "company",
  "input": "microsoft.com",
  "linkedin_url": "https://www.linkedin.com/company/microsoft",
  "company_name": "Microsoft",
  "tagline": "Empowering every person and organization on the planet to achieve more.",
  "industries": ["Software Development"],
  "specialties": ["Software", "Cloud", "AI", "Productivity"],
  "employee_count": 228000,
  "employee_range": "10,001+",
  "year_founded": 1975,
  "follower_count": 25190000,
  "domain": "microsoft.com",
  "website": "https://news.microsoft.com",
  "logo_url": "https://media.licdn.com/dms/image/.../microsoft-logo.png",
  "hq_city": "Redmond",
  "hq_country": "US"
}

Missing optional fields come back as the string "N/A" — every always-emitted column appears in every row, so downstream tools (Sheets / Airtable / CSV) don't have to special-case missing values. See .actor/dataset_schema.json for the full per-column declaration.

⚡ Quick start

Minimal input that works on the free plan:

{
  "operationMode": "lookupByUrl",
  "profileUrls": ["https://www.linkedin.com/in/satyanadella/"]
}

Run, open Storage → Dataset, see one enriched row. Add more URLs to scale up.

🎯 Example tasks

Ready-to-run examples — each opens a pre-configured task you can run in one click (no setup):

• Scrape LinkedIn profiles by URL — Paste LinkedIn profile URLs and export full data — name, headline, location, company, follower count and work email.
• Scrape LinkedIn company data — Enter LinkedIn company URLs and export firmographics — industry, employee count, followers, logo, domain and headquarters.
• Find LinkedIn leads by company & job title — Find decision-makers at any company on LinkedIn by job title — export names, headlines, profile links and contact details.

🛠 Input

Section	Fields
Mode picker	operationMode (required)
Mode 1	profileUrls, findEmails, maxItemsMode1
Mode 2	companyInputs, maxItemsMode2
Mode 3	searchLeadCompanyUrls, searchLeadJobTitle, searchLeadCount, maxItemsMode3
Mode 4	searchCompanyKeywords, searchCompanyIndustries, searchCompanyCount, maxItemsMode4
Advanced filtering	minFollowers, maxFollowers, mustHaveEmail, openToWorkOnly, countryFilter, industryFilter

See .actor/input_schema.json for the authoritative declaration.

💰 Pricing

Pay-per-event. You're charged once per fetched record, regardless of mode.

Event	Price	Trigger
Profile Analyzed	$0.030	Each profile or company successfully retrieved and processed by the actor
Email found (from 6 November 2026)	$0.030	Each profile delivered with a verified work email in email (email_status = valid), only when findEmails or mustHaveEmail is on. An unverified address in emailGuess is never charged

Examples:

• 100 profiles in Mode 1 → 100 × $0.030 = $3.00
• 100 profiles in Mode 1 with findEmails on, 20 of them with a verified email (from 6 November 2026) → $3.00 + 20 × $0.030 = $3.60; unverified guesses add nothing
• 5 companies in Mode 2 → 5 × $0.030 = $0.15
• Mode 3 with 4 target companies × 25 leads each = 100 leads → $3.00
• Mode 4 returning 25 company matches → 25 × $0.030 = $0.75

Filters and billing: Filters narrow your output, not your bill. The paid event fires when the row is fetched — even if your filter then drops it. Use cost-control caps (maxItemsModeN) to bound spend; use filters to narrow signal.

🆓 Free vs paid plan

	Free	Paid
Items per run	50 max	unlimited (capped only by your cost-control field)
Profiles per month	100 (resets on the 1st)	unlimited
Trial run cap	10 (auto, when input matches the example)	n/a
All 4 modes	✅	✅
Advanced filters	✅	✅
Live status page	✅	✅

🧪 Filter recipes

Drop these straight into the input editor.

Find SaaS founders in the US (Mode 4 → Mode 3 → Mode 1):

Step 1 — find SaaS companies:

{
  "operationMode": "searchCompany",
  "searchCompanyKeywords": "saas",
  "searchCompanyIndustries": ["software"],
  "countryFilter": "United States",
  "searchCompanyCount": 50
}

Step 2 — find founders at those companies (paste company URLs from Step 1):

{
  "operationMode": "searchLead",
  "searchLeadCompanyUrls": ["...", "...", "..."],
  "searchLeadJobTitle": "founder",
  "searchLeadCount": 25
}

Engineering managers at top tech companies (Mode 3 with a follower filter):

{
  "operationMode": "searchLead",
  "searchLeadCompanyUrls": [
    "https://www.linkedin.com/company/microsoft/",
    "https://www.linkedin.com/company/google/",
    "https://www.linkedin.com/company/anthropic/"
  ],
  "searchLeadJobTitle": "engineering manager",
  "minFollowers": 500,
  "searchLeadCount": 50
}

Bulk enrich your CRM list (Mode 1 with relevance filter):

{
  "operationMode": "lookupByUrl",
  "profileUrls": ["...100 URLs..."],
  "minFollowers": 1000,
  "industryFilter": "software"
}

📡 Live status & storage records

Every run writes structured JSON records to its key-value store, AND serves a live status page over HTTP while running.

Key	Format	Content
RUN_SUMMARY	JSON	End-of-run aggregate: stop reason, mode, processedCount, paidEventsFired, itemsScraped/Filtered, demoCapped, wallClockSec
USER_MESSAGE	JSON	First-paid-run welcome / 3rd-run check-in (paid plan)
FREE_LIMITS_APPLIED	JSON	Which free-plan caps fired (e.g. freeLimitPropertyCount)
SKIPPED_ITEMS	JSON	Inputs we couldn't process + reason
status.html	HTML	Live progress page (auto-refreshes every 3s)

While the run is active, the live page is reachable at the actor's container URL (Apify shows it under "Live view"). For programmatic monitoring:

# Poll JSON status
curl https://<run-container-url>/api/status

Returns { isRunning, progress: {total, analyzed, saved, skippedByFilters, percentage}, cost: {spent, currency}, timing: {elapsedSeconds, startedAt}, settings: {mode, plan} }.

🤖 Programmatic / API use

# Trigger a run via Apify API
curl -X POST "https://api.apify.com/v2/acts/afanasenko~linkedin-profile-api-scraper/runs?token=$APIFY_TOKEN" \
  -H 'Content-Type: application/json' \
  -d '{
    "operationMode": "lookupByUrl",
    "profileUrls": ["https://www.linkedin.com/in/satyanadella/"]
  }'

Fetch dataset items:

$curl "https://api.apify.com/v2/datasets/<datasetId>/items?token=$APIFY_TOKEN&clean=1&format=json"

Read RUN_SUMMARY:

$curl "https://api.apify.com/v2/key-value-stores/<storeId>/records/RUN_SUMMARY?token=$APIFY_TOKEN"

❓ FAQ

Are filters charged? Filters narrow output, not bill. The paid event fires when a row is fetched; filtering it out doesn't refund. Use maxItemsModeN to cap spend.

Can I scrape private profiles? No. Only public LinkedIn data is available. Profiles set to private return "Profile not found" with no charge.

What's the difference between Mode 3 (slim) and Mode 1 (full)? Mode 3 returns slim rows (10 fields per match) from the search index — cheap way to discover relevant profiles. Feed those URLs back into Mode 1 for full 46-field enrichment.

Is data live? Yes. Each lookup hits LinkedIn's public profile in real time (no stale cache).

Why do I sometimes see a row where most fields are "N/A"? For Mode 3/4 search results, the slim row holds only the search-index fields. Re-run those URLs through Mode 1 / Mode 2 to fill the full schema.

How do I pause / resume a long run? Apify's Resurrect feature works — the actor doesn't keep internal state across resurrections, so each resurrection starts fresh from the input. Better pattern for big lists: split inputs into batches of 500-1000 per run.

Do I need my own LinkedIn account, cookies, or login? No. You don't connect your LinkedIn account and there's nothing to log into — paste URLs or search criteria and run. Only public LinkedIn data is returned.

Can I bulk-enrich a big list of profile URLs? Yes. Mode 1 takes many profile URLs at once. For very large lists, split into batches of 500–1000 per run and set maxItemsMode1 to cap spend.

🔗 Other LinkedIn / lead-gen scrapers (same author)

You start with…	You want to find…	Use this actor
LinkedIn profile URLs	Bulk-enrich profiles + companies	This actor — Mode 1 / Mode 2
Search criteria (keyword / company / job title)	Decision-makers + companies via search index	This actor — Mode 3 / Mode 4
Job titles, companies or countries	A list of people — employees and decision makers, up to 2,500 per search	LinkedIn People Search
LinkedIn job criteria / job-posting URLs / company URLs	Job listings + full description, skills, salary, hiring team	LinkedIn Jobs Scraper
Instagram handles	Profile data + 5 discovery modes (followers, similar, keyword, location)	Instagram Profile Scraper
TikTok profile / hashtag	Profile data + posts	TikTok Profile Scraper
YouTube channel URL / handle	Channel + video metadata	YouTube Channel Scraper
US ZIP / address	Property listings + market data	Zillow Scraper

🛟 Support & feedback

Found a bug? Have a feature request? Open an issue on the actor's Apify Store page Issues tab — that's the canonical channel and I get a notification on every new issue.

💡 Tips & Best Practices

Getting max results

• For Mode 3 (Search Leads): job-title filter is fuzzy — engineer matches software engineer, staff engineer, principal engineer. Use specific titles (VP of engineering) when you want narrow.
• For Mode 4 (Search Companies): keywords are AND-style — saas analytics matches companies that mention both. Try single keywords first to gauge volume.
• For Mode 1: company-URL inputs auto-route through company lookup, so you can mix profile and company URLs in one run.

Cost optimization

• Use maxItemsModeN aggressively when testing — 5-10 first to validate output, then scale up.
• Mode 3 / Mode 4 find leads and companies you don't have links for yet: a single search returns up to 100 slim rows (25 by default), at the same $0.030/row that Mode 1 / Mode 2 charge per full record.
• Filters don't reduce billing but reduce noise — apply industryFilter + countryFilter for tighter targeting BEFORE pasting URLs into a Mode 1 follow-up pass.

Performance

• Mode 1 and Mode 2 look up several profiles or companies at once — usually a few seconds each, up to a minute each with findEmails on. The live status page shows progress. Runs you start at the same time share capacity, so each one finishes more slowly while they overlap.
• Mode 3 / Mode 4 searches answer directly — usually a few seconds for 25 people or companies. A search with no matches ends in seconds with a clear no-results message.

Data quality

• LinkedIn profiles update daily; running the same URL twice in a week may return slightly different follower_count / headline.
• "N/A" is intentional — always-emitted columns let you write IF(field == "N/A", ...) instead of null-checking.
• Mode 3 lead rows are slim by design (name, title, company, location, about, profile URL) — feed their URLs into Mode 1 for full profiles and work emails.

⚖️ Disclaimer

This actor scrapes only publicly available LinkedIn data. You are responsible for using the data in accordance with LinkedIn's Terms of Service, applicable privacy laws (GDPR, CCPA), and ethical-use guidelines. The actor does not scrape private profiles, paid LinkedIn features (Sales Navigator), or content behind login walls.