๐ LinkedIn Companies Suggestions Scraper
Pricing
from $3.99 / 1,000 results
๐ LinkedIn Companies Suggestions Scraper
๐ LinkedIn Companies Suggestions Scraper extracts company insights from LinkedIn suggestionsโnames, profiles, and key detailsโfast. ๐ Perfect for B2B research, lead gen, sales, and recruiting. Save time, boost targeting, and scale outreach.
Pricing
from $3.99 / 1,000 results
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ScrapeBase
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10 days ago
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Find the "Pages people also viewed" lookalike companies for any LinkedIn company โ 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 โ get back a clean list of similar companies, each with title, industry, profile URL, and follower count.
๐ Why Choose This Actor?
| โ Feature | What it means for you |
|---|---|
| ๐ Real LinkedIn data | Pulled live from LinkedIn โ not stale exports. |
| ๐ฆ Bulk input | Drop in 1 or 100 company URLs. The actor handles the rest. |
| ๐ฅ Follower counts | Every lookalike includes its current follower count. |
| ๐ก๏ธ Smart proxy handling | Uses Apify Residential proxies (required for LinkedIn) and auto-rotates IPs on a block. |
| ๐พ Live results | Each lookalike is saved to the dataset the moment it is scraped. |
| ๐งฉ Clean output | Table-friendly schema: title, subtitle, url, followers. |
| ๐ค API / MCP ready | Call from your code, n8n, Make, Zapier, or your LLM via MCP. |
โจ Key Features
- ๐ Similar pages discovery โ the same "Pages people also viewed" list you see logged into LinkedIn
- ๐ข Title + industry + profile URL for every lookalike
- ๐ฅ Live follower counts via LinkedIn's own Voyager API
- ๐ฆ Bulk-friendly โ one job, many input companies
- ๐ก๏ธ Anti-block engine โ Chrome TLS fingerprint + smart proxy escalation
- ๐พ Crash-safe โ partial results are always saved
- โก Async + concurrent โ fast even on large input lists
- ๐ณ Pay-per-result pricing โ you pay for lookalikes, not failed runs
๐ฅ Input
| Field | Type | Required | Description |
|---|---|---|---|
urls | array | โ | LinkedIn company URLs (or /showcase/ URLs). Bulk supported. |
liAtCookie | string | โ | Optional. Your LinkedIn li_at session cookie for follower counts. Leave blank to use the built-in session. Secret โ never logged. |
maxConcurrentFollowerLookups | integer | โ | Parallel follower lookups per company. Default 5. |
delayBetweenCompanies | number | โ | Seconds between input companies. Default 1.5. |
maxRetries | integer | โ | Retries per request. Default 3. |
requestTimeout | integer | โ | Request timeout in seconds. Default 30. |
proxyConfiguration | object | โ | Optional. Defaults to no proxy. Auto-escalates on block. |
๐ช How to get your li_at cookie
- Open linkedin.com and sign in.
- Open DevTools (
F12) โ Application โ Cookies โhttps://www.linkedin.com. - Copy the Value of the cookie named
li_at. - Paste it into the
liAtCookiefield.
๐ 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 }}
๐ค Output
Each row in the output dataset is one lookalike company โ 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 โ 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
| Field | Description |
|---|---|
input_url | The company you asked about. |
title | Lookalike company name. |
subtitle | Lookalike industry (LinkedIn's classification). |
url | Lookalike company's LinkedIn URL. |
followers | Current follower count, comma-formatted (e.g. 13,120,759). Empty string if unavailable. |
๐ How to Use (Apify Console)
- Log in at console.apify.com โ Actors.
- Open LinkedIn Companies Suggestions Scraper.
- Paste your LinkedIn company URLs into
urls. - Paste your
li_atcookie intoliAtCookie. - (Optional) Leave
proxyConfigurationempty for a direct connection โ the actor auto-escalates if LinkedIn blocks. - Click Start ๐
- Watch the live log โ you'll see each lookalike streamed in real time.
- When the run finishes, open the Output tab.
- Export as JSON / CSV / XLSX or pipe to your downstream tools.
๐ค 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 ApifyClientclient = 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 โ see Pricing below.
๐ผ Best Use Cases
- ๐ฏ Competitor research โ discover companies your competitors are bucketed with.
- ๐งฒ Lookalike audience building โ feed similar companies into your outbound list.
- ๐บ๏ธ Market mapping โ chart adjacent industries and emerging players.
- ๐ฏ ABM enrichment โ expand each target account into a cluster of similar accounts.
- ๐ Investment scouting โ surface peers of a portfolio company in seconds.
๐ณ Pricing (Pay-Per-Event)
- Per result item โ billed for each lookalike company returned (
result-itemevent). - โ You only pay for successful results. Failed runs and zero-result inputs are free.
- ๐ Hard-cap your spend with Max total charge in the run config โ the actor stops cleanly when reached.
โ 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 โ 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 โ typically 5โ10 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 โ showcase pages are supported alongside /company/ URLs.
โ๏ธ Cautions & Legal
- 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 โ not for spam or harassment.
- You are responsible for how you use the data.
๐ 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! ๐