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LinkedIn Mass People Profile Finder

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from $3.99 / 1,000 results

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LinkedIn Mass People Profile Finder

LinkedIn Mass People Profile Finder

Bulk LinkedIn profile URL finder. Provide names, companies, or any free-text queries and receive matching public LinkedIn profile URLs in real time.

Pricing

from $3.99 / 1,000 results

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ScraperX

ScraperX

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πŸ”— LinkedIn Mass People Profile Finder

Bulk-resolve LinkedIn profile URLs from free-text queries β€” in seconds, at scale.

Provide a list of search queries (e.g. "Michael Dell Dell Technologies CEO") and the actor returns the first matching public LinkedIn profile URL for each. No LinkedIn login needed β€” results come from public search engines.


✨ Why Choose This Actor?

  • ⚑ Bulk lookup β€” process hundreds of names in one run, in parallel
  • 🌐 Smart proxy ladder β€” starts direct, auto-escalates to datacenter β†’ residential only when blocked
  • πŸ›‘οΈ Anti-block resilient β€” randomized user agents, exponential backoff, sticky escalation
  • πŸ’Ύ Live results β€” every match streams to the dataset the moment it's found, so partial output is always preserved
  • πŸ” Dual-engine fallback β€” DuckDuckGo primary, Bing fallback
  • 🎯 Clean output β€” canonical https://www.linkedin.com/in/<slug> for every hit

πŸ”‘ Key Features

FeatureDescription
🧾 Bulk inputPaste any number of queries β€” one per line
🌐 Auto proxy fallbackNo proxy β†’ Datacenter β†’ Residential (3 retries)
πŸ“‘ Real-time outputEach result is pushed live to the dataset
βš™οΈ ConfigurableWorkers, delay, retries, timeout all tunable
🎨 Clean URLsAll output normalized to https://www.linkedin.com/in/<slug>

πŸ“₯ Input

{
"queries": [
"\"Michael Dell\" \"Dell Technologies\" CEO",
"\"Chuck Robbins\" CISCO CEO"
],
"workers": 3,
"baseDelay": 0.5,
"retries": 3,
"timeout": 15,
"proxyConfiguration": { "useApifyProxy": false }
}
FieldTypeDescription
queriesarray<string>Required. Free-text search queries, one per item. Use quotes for exact-match phrases.
workersintegerParallel queries. Default 3. Higher = faster but more block risk.
baseDelaynumberBase delay (sec) between requests. Default 0.5.
retriesintegerMax retries per engine on transient failure. Default 3.
timeoutintegerHTTP request timeout (sec). Default 15.
proxyConfigurationobjectProxy override. Default: no proxy β€” actor escalates automatically if blocked.

πŸ“€ Output

Each item in the dataset:

{
"linkedin": "https://www.linkedin.com/in/mdell",
"input": "\"Michael Dell\" \"Dell Technologies\" CEO"
}

For failed lookups:

{
"linkedin": null,
"input": "some unfindable query",
"error": "bing: no result"
}
FieldDescription
πŸ”— linkedinCanonical LinkedIn profile URL, or null if not found
🧾 inputThe exact query that was searched
⚠️ errorFailure reason (only present when linkedin is null)

πŸš€ How to Use (Apify Console)

  1. Log in at https://console.apify.com β†’ Actors.
  2. Open LinkedIn Mass People Profile Finder.
  3. Paste your queries β€” one per line β€” in the Search Queries field.
  4. (Optional) Tune workers / delay / retries.
  5. Click β–Ά Start.
  6. Watch logs in real time β€” found profiles appear immediately.
  7. Open the Output tab when the run completes; export to JSON / CSV / XLSX.

πŸ€– Use via API

Run synchronously and get results in one call:

curl -X POST \
"https://api.apify.com/v2/acts/<ACTOR_ID>/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"queries": [
"\"Michael Dell\" \"Dell Technologies\" CEO",
"\"Chuck Robbins\" CISCO CEO"
]
}'

Or asynchronously:

curl -X POST \
"https://api.apify.com/v2/acts/<ACTOR_ID>/runs?token=$APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"queries":["Satya Nadella Microsoft CEO"]}'

🌐 Proxy Strategy

The actor uses a sticky tiered fallback:

1. 🟒 Direct (no proxy) ← start here
2. 🟑 Apify Datacenter Proxy ← on first block
3. πŸ”΄ Apify Residential Proxy ← if datacenter blocked too (3 retries)

Once the actor escalates to a higher tier, it stays there for the rest of the run β€” no flapping. Each escalation is clearly logged so you can see exactly when and why it happened.


🎯 Best Use Cases

  • πŸ§‘β€πŸ’Ό Sales & lead enrichment β€” turn a CSV of names + companies into LinkedIn URLs
  • πŸ“Š Market research β€” find executive profiles for company analysis
  • 🀝 Recruiting β€” bulk-resolve candidate profiles from spreadsheets
  • πŸ”¬ Data enrichment pipelines β€” feed CRM rows with normalized LinkedIn URLs

πŸ’° Pricing (Pay-Per-Event)

EventWhat it covers
apify-actor-startOne-time charge per run (covers startup)
apify-default-dataset-itemCharged per successfully resolved profile

You only pay for profiles we find β€” failed lookups still appear in the dataset for transparency but do not bill the result-item event.


❓ Frequently Asked Questions

Q: Do I need a LinkedIn account or cookie? No. The actor only queries public search engines.

Q: Why is the output URL different from what's on Google? We canonicalize every URL to https://www.linkedin.com/in/<slug> regardless of the country subdomain (e.g. uk.linkedin.com/in/…) for easier downstream matching.

Q: What if a query has multiple matching profiles? We return the first result. Make queries as specific as possible (name + company + title) for accuracy.

Q: Will I get rate-limited? Possible if you push workers too high. The actor handles this gracefully β€” it slows down, switches engines, and escalates to a paid proxy tier automatically. Default workers=3 is safe.

Q: Is this legal? Yes β€” we only query publicly indexed search results. You are responsible for downstream compliance with LinkedIn's ToS, GDPR/CCPA, and any applicable anti-spam laws.


  • Data is collected only from publicly available sources (search engine result pages).
  • Do not scrape private accounts or content behind authentication.
  • The end user is responsible for legal compliance (GDPR, CCPA, anti-spam laws, target site ToS).
  • Be a good citizen β€” keep concurrency moderate.

πŸ’¬ Support & Feedback

Issues, feature requests, or just want to chat? Open an issue or contact the maintainer through your Apify Console messages.