LinkedIn Profile Scraper — No Login, $2 per 1,000 profiles

Scrape full LinkedIn profile data — identity, experience, education, skills, certifications, languages, volunteering, projects, publications, patents, awards, and more — in one clean JSON record per profile. No LinkedIn login, no cookies, no browser session, no account ban risk.

Built for CRM enrichment, sales prospecting, recruiting, account-based marketing (ABM), competitive intelligence, and people-data automation.

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How this compares to other LinkedIn profile scrapers

We benchmarked the direct competitors on Apify Store. Here's the honest landscape:

	harvestapi/linkedin-profile-search	supreme_coder/linkedin-profile-scraper	bebity/linkedin-premium-actor	curious_coder/linkedin-*	This actor
Price per 1,000 profiles	$4 (full) / $10 (+email)	$3 + $0.002/start	$29/month	$39/month	$2 — cheapest pay-per-result
Fields per profile	~50	~30	~25	~20	37 core + 12 embedded arrays
Embedded arrays (experience, education, skills, etc.)	✅	Partial	Partial	❌	✅
"People also viewed" similar profiles (toggleable)	❌	❌	❌	❌	✅ up to 21
Recommendations with full text (toggleable)	❌	❌	❌	❌	✅ both received and given
Verification info (LinkedIn-verified badge + verifiedBy) (toggleable)	❌	❌	❌	❌	✅
Interests (top voices, companies, schools, newsletters, groups followed) (toggleable)	❌	❌	❌	❌	✅
No login / no cookies	✅	✅	❓	❌	✅
Source code visibility	Public	Public	Public	Public	Hidden (paid-tier protection)

Bottom line: At $2 per 1,000 profiles, this is the cheapest LinkedIn profile scraper on Apify Store with full firmographics. Half the price of harvestapi ($4/1k), 33% cheaper than supreme_coder ($3/1k), no monthly subscription like bebity ($29/mo) or curious_coder ($39/mo). Plus we expose features no one else does: similar profiles, recommendations text, verification info, and interests — all toggleable.

What you get — 1 rich profile record per input + optional toggles

For each profile URL/username, the actor returns one profile record (37 top-level fields + arrays embedded as sub-objects):

Core identity + status (15 fields)

profileId, profileUrn, username, profileUrl, firstName, lastName, fullName, headline, summary, country, countryCode, city, locationFull, industryName, industryUrn

Flags + counts (8 fields)

isCreator, isPremium, isInfluencer, isOpenToWork, isHiring, followerCount, connectionsCount, plus computed counts (experienceCount, educationCount, skillsCount, certificationsCount)

Visual assets (2 fields)

profilePictureUrl, backgroundImageUrl

Current snapshot (5 fields)

currentCompanyName, currentCompanyId, currentCompanyUrl, currentTitle, currentSchoolName

Embedded arrays (12 sub-objects, included in the same record)

• experience — past + current positions: title, description, company info, location, dates, isCurrent
• education — schools: schoolName, schoolUrl, fieldOfStudy, degree, grade, dates
• skills, certifications, languages, volunteering, organizations, patents, publications, projects, courses, honorsAndAwards — passed through as sub-objects when present

Optional toggle-controlled records (1 extra vendor call each, billed separately)

1. profileAbout — verification info (LinkedIn-verified badge + verifiedBy), joined date, last-updated timestamps. (toggle: includeAbout)
2. profileContactInfo — email, phone, address, websites, Twitter, IM handles (only when publicly exposed). (toggle: includeContactInfo)
3. profileRecommendation records — both received and given, with full text + person details. (toggle: includeRecommendations)
4. profileSimilar records — LinkedIn's "People also viewed" (up to 21 profiles per source). (toggle: includeSimilar)
5. profileInterest records — top voices, companies, schools, newsletters, and groups followed. Each tagged with bucket. (toggle: includeInterests)

Plus diagnostic (1 per failed input) and summary (1 per run).

Use cases (top 8)

1. CRM enrichment — turn LinkedIn URLs into structured contact records

Feed your CRM's "LinkedIn URL" column into profileUrls. Get back full firmographics ready to merge: current company, title, location, industry, profile photo URL.

2. Recruiting — full candidate profiles for sourcing

Set includeAbout: true to verify candidates (LinkedIn verification badge). The multi-record output (experience, education, skills) drops cleanly into your ATS.

3. Sales prospecting — ICP scoring at scale

Pull profile records for your target list. Use currentCompany, industry, followerCount, isCreator, currentTitle, connectionsCount to score fit.

4. ABM — find decision-makers via network expansion

Set includeSimilar: true. For each known champion, get up to 21 "people also viewed" — surface adjacent decision-makers at the same account.

5. Influencer research — track interests + reach

Set includeInterests: true to see which thought leaders, newsletters, and groups your target follows. Plus followerCount and isInfluencer flags.

6. Customer success — monitor key contacts moving roles

Re-scrape monthly to detect currentCompany changes. New employer → trigger your offboarding/upsell playbook.

7. Investor research — backgrounder on founders

Get summary, full experience, education, honors, publications, patents. Builds a complete dossier in one call.

8. Recommendation mining — testimonials at scale

Set includeRecommendations: true. Pull recommendation text (given + received) — useful for case-study research, customer-voice mining, employer-brand audit.

How it works

1. Set profileUrls (LinkedIn profile URLs like https://www.linkedin.com/in/<username>/ or bare usernames).
2. Optionally enable any of: includeAbout, includeContactInfo, includeRecommendations, includeSimilar, includeInterests.
3. The actor resolves each input → fetches the full profile in one vendor call → fans out arrays into separate records → applies toggle-enabled enrichment calls.

The default mode is efficient — one vendor request returns identity + experience + education + skills + certifications + languages + volunteering + projects + publications + patents + organizations + courses + honors. We fan all of that out into structured records.

No login required. No cookies. The actor uses a managed data partnership for cookieless LinkedIn access — no account ban risk on your side, no session management.

Example input

{
  "profileUrls": [
    "https://www.linkedin.com/in/satyanadella/",
    "williamhgates"
  ],
  "includeAbout": true,
  "includeSimilar": true,
  "maxSimilarPerProfile": 5
}

This run returns: 2 profile records + N profileExperience + N profileEducation + N profileSkill + ... + 2 profileAbout + 10 profileSimilar records. Typical output: ~25-40 records total.

Pricing — pay only for results

$2.00 per 1,000 profiles. Pay-per-result. Cheapest LinkedIn profile scraper on Apify with full firmographics.

Default mode emits exactly one profile record per input (priced at $0.002/record). Toggles add extra records, each priced the same:

• ✅ No subscription
• ✅ No monthly minimum
• ✅ No per-run start fee
• ✅ No charge for failed sources or unresolvable profiles (clean diagnostic record)
• ✅ Apify's free tier ($5/month platform credit) covers ~2,500 profiles to start

Cost comparison for 10,000 profiles enriched:

Provider	Price	10K cost	What you get
harvestapi (full-profile)	$4/1k	$40	1 flat record per profile (~50 fields)
supreme_coder	$3/1k	$30	1 record (~30 fields)
bebity	$29/month	$29/mo regardless	Subscription, ~25 fields
curious_coder	$39/month	$39/mo regardless	Sales Navigator only
This actor	$2/1k	$20	37 core fields + 12 embedded arrays

You save 50% vs harvestapi for richer data. No subscription gate, no per-run fee, just pay per profile.

Combine with other LinkedIn actors

Build a complete LinkedIn intelligence pipeline:

• Feed profile.currentCompanyUrl from this actor into the LinkedIn Company Scraper → full firmographics on each prospect's company
• Feed profile.username into the LinkedIn Post Scraper → their recent activity timeline
• Feed profile.username into the LinkedIn Profile Reactions Scraper → what they react to (engagement intent signals)
• Feed profileSimilar.profileUrl back into this actor → network-walk to expand prospect lists

FAQ

Q: What if a profile has no skills/certifications/projects? The actor only emits records for arrays that have data. A "thin" profile (few fields populated) emits fewer records → you pay less.

Q: Why doesn't profileContactInfo always return email/phone? Most LinkedIn users keep contact info private. The vendor only returns what the profile owner has publicly exposed. The endpoint is still called (and billed) but the resulting record may have mostly nulls if the data isn't public.

Q: Can I scrape multiple profiles in one run? Yes. Add multiple URLs/usernames to profileUrls. Each is processed sequentially with proper rate-limiting. The actor deduplicates the same username appearing twice.

Q: What's the difference between position and currentPositions? profileExperience records cover the full work history. The top-level profile record also includes currentTitle + currentCompanyName for convenience.

Q: What is profileInterest.bucket? LinkedIn organizes followed entities into buckets: topVoices, companies, schools, newsletters, groups. Each interest record is tagged with its bucket so you can filter.

Q: Can I get email addresses? Only when the profile owner has made their email public via Contact Info. Use includeContactInfo: true to attempt this. For higher email-discovery rates, combine with a dedicated email-finder tool.

Q: Are deleted/private profiles returned? No — the vendor only returns publicly visible profiles. Private/deleted profiles produce a diagnostic record (not charged).

Q: Is this safe to use vs my LinkedIn account? Yes. No login, no cookies, no browser session. The actor never authenticates as you. Your LinkedIn account is not involved.

Q: How fresh is the data? Real-time from LinkedIn's current public profile state. Re-run anytime for updates (changes in employment, follower counts, etc.).

Privacy & compliance

This actor scrapes publicly accessible LinkedIn profile content. We do not access private profiles, gated content, or content requiring login. The data returned is the same data any logged-out visitor can see by viewing the profile.

LinkedIn user content may be subject to LinkedIn's Terms of Use, applicable copyright laws, and platform rate limits. Customers are responsible for compliance with applicable data protection laws (GDPR, CCPA, etc.) when processing scraped data, especially when scraping personal information.

Not affiliated with, endorsed by, or sponsored by LinkedIn Corporation or Microsoft Corporation.