πŸ”Ž LinkedIn Companies Suggestions Scraper avatar

πŸ”Ž LinkedIn Companies Suggestions Scraper

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Pay per usage

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πŸ”Ž LinkedIn Companies Suggestions Scraper

πŸ”Ž LinkedIn Companies Suggestions Scraper

πŸ”Ž LinkedIn Companies Suggestions Scraper (linkedin-companies-suggestions) pulls targeted company leads from LinkedIn suggestions with fast, accurate data. 🧠 Great for B2B research, sales prospecting, and recruitment. πŸš€ Export insights, save time, boost outreach!

Pricing

Pay per usage

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API Empire

API Empire

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24 days ago

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Find the "Pages people also viewed" lookalike companies for any LinkedIn company β€” instantly, in bulk, with follower counts and industry tags. Perfect for competitor research, ICP / lookalike audience building, outbound prospecting, and market mapping.

Give it a LinkedIn company URL β†’ get back a clean list of similar companies, each with title, industry, profile URL, and follower count.


🌟 Why Choose This Actor?

βœ… FeatureWhat it means for you
πŸš€ Real LinkedIn dataPulled live from LinkedIn β€” not stale exports.
πŸ“¦ Bulk inputDrop in 1 or 100 company URLs. The actor handles the rest.
πŸ‘₯ Follower countsEvery lookalike includes its current follower count.
πŸ›‘οΈ Smart proxy handlingUses Apify Residential proxies (required for LinkedIn) and auto-rotates IPs on a block.
πŸ’Ύ Live resultsEach lookalike is saved to the dataset the moment it is scraped.
🧩 Clean outputTable-friendly schema: title, subtitle, url, followers.
πŸ€– API / MCP readyCall from your code, n8n, Make, Zapier, or your LLM via MCP.

✨ Key Features

  • πŸ”Ž Similar pages discovery β€” the same "Pages people also viewed" list you see logged into LinkedIn
  • 🏒 Title + industry + profile URL for every lookalike
  • πŸ‘₯ Live follower counts via LinkedIn's own Voyager API
  • πŸ“¦ Bulk-friendly β€” one job, many input companies
  • πŸ›‘οΈ Anti-block engine β€” Chrome TLS fingerprint + smart proxy escalation
  • πŸ’Ύ Crash-safe β€” partial results are always saved
  • ⚑ Async + concurrent β€” fast even on large input lists
  • πŸ’³ Pay-per-result pricing β€” you pay for lookalikes, not failed runs

πŸ“₯ Input

FieldTypeRequiredDescription
urlsarrayβœ…LinkedIn company URLs (or /showcase/ URLs). Bulk supported.
liAtCookiestring❌Optional. Your LinkedIn li_at session cookie for follower counts. Leave blank to use the built-in session. Secret β€” never logged.
maxConcurrentFollowerLookupsinteger❌Parallel follower lookups per company. Default 5.
delayBetweenCompaniesnumber❌Seconds between input companies. Default 1.5.
maxRetriesinteger❌Retries per request. Default 3.
requestTimeoutinteger❌Request timeout in seconds. Default 30.
proxyConfigurationobject❌Optional. Defaults to no proxy. Auto-escalates on block.
  1. Open linkedin.com and sign in.
  2. Open DevTools (F12) β†’ Application β†’ Cookies β†’ https://www.linkedin.com.
  3. Copy the Value of the cookie named li_at.
  4. Paste it into the liAtCookie field.

πŸ“‹ Example input

{
"urls": [
{ "url": "https://www.linkedin.com/company/financial-times/" },
{ "url": "https://www.linkedin.com/company/the-economist/" }
],
"liAtCookie": "AQEDAUjBCq4FO9swAAAB...",
"maxConcurrentFollowerLookups": 5,
"delayBetweenCompanies": 1.5,
"proxyConfiguration": { "useApifyProxy": false }
}

πŸ“€ Output

Each row in the output dataset is one lookalike company β€” easy to filter, sort, and export:

{
"input_url": "https://www.linkedin.com/company/financial-times",
"title": "The Economist",
"subtitle": "Newspaper Publishing",
"url": "https://www.linkedin.com/company/the-economist/",
"followers": "13,120,759"
}

A grouped snapshot (per input company β†’ list of lookalikes) is also saved to the key-value store as results.json:

[
{
"input_url": "https://www.linkedin.com/company/financial-times",
"lookalikes": [
{
"url": "https://www.linkedin.com/company/the-economist/",
"subtitle": "Newspaper Publishing",
"title": "The Economist",
"followers": "13,120,759"
},
{
"url": "https://www.linkedin.com/company/bloomberg/",
"subtitle": "Financial Services",
"title": "Bloomberg",
"followers": "2,207,096"
}
]
}
]

Field reference

FieldDescription
input_urlThe company you asked about.
titleLookalike company name.
subtitleLookalike industry (LinkedIn's classification).
urlLookalike company's LinkedIn URL.
followersCurrent follower count, comma-formatted (e.g. 13,120,759). Empty string if unavailable.

πŸš€ How to Use (Apify Console)

  1. Log in at console.apify.com β†’ Actors.
  2. Open LinkedIn Companies Suggestions Scraper.
  3. Paste your LinkedIn company URLs into urls.
  4. Paste your li_at cookie into liAtCookie.
  5. (Optional) Leave proxyConfiguration empty for a direct connection β€” the actor auto-escalates if LinkedIn blocks.
  6. Click Start πŸš€
  7. Watch the live log β€” you'll see each lookalike streamed in real time.
  8. When the run finishes, open the Output tab.
  9. Export as JSON / CSV / XLSX or pipe to your downstream tools.

πŸ€– Use via API / MCP

REST API (cURL)

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 '{
"urls": [{"url": "https://www.linkedin.com/company/financial-times/"}],
"liAtCookie": "AQEDAUjBCq4FO9sw..."
}'

Python SDK

from apify_client import ApifyClient
client = ApifyClient("APIFY_TOKEN")
run = client.actor("<ACTOR_ID>").call(run_input={
"urls": [{"url": "https://www.linkedin.com/company/financial-times/"}],
"liAtCookie": "AQEDAUjBCq4FO9sw...",
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)

MCP

This actor is callable from any MCP client (Claude, Cursor, etc.) via the Apify MCP gateway at https://mcp.apify.com. Each tool call is a chargeable PPE event β€” see Pricing below.


πŸ’Ό Best Use Cases

  • 🎯 Competitor research β€” discover companies your competitors are bucketed with.
  • 🧲 Lookalike audience building β€” feed similar companies into your outbound list.
  • πŸ—ΊοΈ Market mapping β€” chart adjacent industries and emerging players.
  • 🎯 ABM enrichment β€” expand each target account into a cluster of similar accounts.
  • πŸ“ˆ Investment scouting β€” surface peers of a portfolio company in seconds.

πŸ’³ Pricing (Pay-Per-Event)

  • Per result item β€” billed for each lookalike company returned (result-item event).
  • βœ… You only pay for successful results. Failed runs and zero-result inputs are free.
  • πŸ›‘ Hard-cap your spend with Max total charge in the run config β€” the actor stops cleanly when reached.

❓ Frequently Asked Questions

Q: Why do I need a li_at cookie? A: LinkedIn's follower counts are only available to logged-in users. The guest view exposes the lookalike list, but not the follower counts. We use your li_at only to call LinkedIn's own API for those counts.

Q: Is my cookie safe? A: The cookie field is marked as a secret β€” Apify masks it in the run config UI and it is never written to logs.

Q: What if LinkedIn blocks the request? A: The actor uses Apify Residential proxies by default (required to reach LinkedIn from Apify's network) and automatically rotates to a fresh residential IP if a block is detected.

Q: How many lookalikes do I get per company? A: Whatever LinkedIn shows in its "Pages people also viewed" panel β€” typically 5–10 per company.

Q: Can I use this without a cookie? A: The lookalike list itself works without auth, but follower counts will be empty. We strongly recommend providing the cookie.

Q: Does it work for /showcase/ URLs? A: Yes β€” showcase pages are supported alongside /company/ URLs.


  • Data is collected only from publicly viewable LinkedIn surfaces and your own authenticated session.
  • Honor LinkedIn's Terms of Service and your local privacy laws (GDPR, CCPA, etc.).
  • This actor is intended for research, market intelligence, and B2B use cases β€” not for spam or harassment.
  • You are responsible for how you use the data.

πŸ†˜ Support & Feedback

Found a bug? Have a feature request? Open an issue in the Actor's Issues tab on Apify, or contact the publisher directly.

Happy scraping! πŸš€