Ranked profile URLs
Receive up to ten deduplicated canonical LinkedIn profile candidates for each person, ordered by deterministic match score.
Available on Apify · by Meka
LinkedIn Profile Candidate FinderLikely matches, with evidence.
Use public professional clues you already know to find and rank possible LinkedIn profile URLs from Google’s public index.
$0.50 per 1,000 successful candidate sets. No LinkedIn cookies.
Every result requires human review. not_found and errors are free.
inLikely profile candidateGoogle public index · human review required
Professional identity match
Name · company · title · location
MATCH EVIDENCE
Canonical profile URL, public result title and snippet, deterministic score, confidence band, and explicit match reasons.
- Status
- candidate_found
- Confidence
- High
- Review
- Required
Candidate discovery you can inspect.
Create review queues from public search evidence without pretending a score is verified identity.
Why each result matched
Keep public Google result titles, snippets, score, confidence band, and match reasons such as name, company, title, or location.
Honest statuses
Distinguish candidate_found, not_found, invalid_input, and search_failed instead of silently guessing or changing data sources.
This is candidate discovery—not identity verification, LinkedIn People Search, a full-profile scraper, or an outreach tool.
FROM CLUES TO REVIEW QUEUEYour first run.
Your first run.
Three simple steps.
Start with people you already know and include only public professional clues.
Run on Apify- 1
Add known people
Provide a full name and, when available, company, domain, title, location, or professional keywords.
- 2
Choose ranking controls
Return 1–10 candidates, include or omit evidence, and adjust the minimum score. Higher thresholds reduce delivery but do not verify identity.
5 candidates · minimum score 40 - 3
Review every match
Inspect each URL, title, snippet, and match reason before using it. Every Dataset record explicitly requires review.
Known clues in. Reviewable candidates out.
Process up to 1,000 inputs while preserving physical input order and reusing search work for equivalent normalized people.
A transparent contract
The Actor executes no more than three Google-only query variants per unique input. It never silently calls Bing, Brave, a browser, or a people-data provider.
View Actor API & documentation ↗An Apify account and API token are required for programmatic access.
EXAMPLE ACTOR INPUT
{
"people": [
{
"fullName": "Satya Nadella",
"company": "Microsoft",
"domain": "microsoft.com",
"title": "CEO",
"location": "Redmond"
}
],
"maxCandidates": 5,
"includeEvidence": true,
"minScore": 40
}Inspect output fields +
Core fields include status, bestCandidateUrl, bestCandidateTitle, bestCandidateSnippet, score, confidence, matchReasons, requiresReview, queryCount, and ranked candidates.
Does this scrape LinkedIn profiles?+
No. It searches Google’s public LinkedIn profile index and ranks canonical linkedin.com/in/ URLs. It does not open or scrape candidate profile pages.
What information do I provide?+
A full name is required. Known company, domain, title, location, and professional keywords are optional clues that can improve ranking.
Are the matches verified identities?+
No. Every result has requiresReview=true. Scores summarize matching public evidence, but namesakes and stale search snippets are possible. A human must review each candidate.
How is it priced?+
Each successful candidate set costs $0.0005, equivalent to $0.50 per 1,000. not_found, invalid inputs, search errors, and empty inputs are not charged as delivered sets.
Why can a known person return not_found?+
Google may not index the profile or expose enough public evidence to meet the configured score. The Actor does not silently switch to another search engine or guess a profile slug.
Find the likely profile.
Bring known clues. Get ranked candidates for human review.