π LinkedIn Companies Suggestions Scraper
Pricing
from $3.99 / 1,000 results
π LinkedIn Companies Suggestions Scraper
LinkedIn Companies Suggestions Scraper extracts LinkedIn company suggestions based on keywords. Collect company names, profile URLs, industries, employee sizes, locations, follower counts, and more. Ideal for B2B lead generation, sales prospecting, and market research.
Pricing
from $3.99 / 1,000 results
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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.
π Why Choose This Actor?
| β Feature | What it means for you |
|---|---|
| π Real LinkedIn data | Pulled live from LinkedIn β not stale exports. |
| π¦ Bulk input | Drop in 1 or 100 company URLs. The actor handles the rest. |
| π₯ Follower counts | Every lookalike includes its current follower count. |
| π‘οΈ Smart proxy handling | Uses Apify Residential proxies (required for LinkedIn) and auto-rotates IPs on a block. |
| πΎ Live results | Each lookalike is saved to the dataset the moment it is scraped. |
| π§© Clean output | Table-friendly schema: title, subtitle, url, followers. |
| π€ API / MCP ready | Call from your code, n8n, Make, Zapier, or your LLM via MCP. |
β¨ Key Features
- π Similar pages discovery β the same "Pages people also viewed" list you see logged into LinkedIn
- π’ Title + industry + profile URL for every lookalike
- π₯ Live follower counts via LinkedIn's own Voyager API
- π¦ Bulk-friendly β one job, many input companies
- π‘οΈ Anti-block engine β Chrome TLS fingerprint + smart proxy escalation
- πΎ Crash-safe β partial results are always saved
- β‘ Async + concurrent β fast even on large input lists
- π³ Pay-per-result pricing β you pay for lookalikes, not failed runs
π₯ Input
| Field | Type | Required | Description |
|---|---|---|---|
urls | array | β | LinkedIn company URLs (or /showcase/ URLs). Bulk supported. |
liAtCookie | string | β | Optional. Your LinkedIn li_at session cookie for follower counts. Leave blank to use the built-in session. Secret β never logged. |
maxConcurrentFollowerLookups | integer | β | Parallel follower lookups per company. Default 5. |
delayBetweenCompanies | number | β | Seconds between input companies. Default 1.5. |
maxRetries | integer | β | Retries per request. Default 3. |
requestTimeout | integer | β | Request timeout in seconds. Default 30. |
proxyConfiguration | object | β | Optional. Defaults to no proxy. Auto-escalates on block. |
πͺ How to get your li_at cookie
- Open linkedin.com and sign in.
- Open DevTools (
F12) β Application β Cookies βhttps://www.linkedin.com. - Copy the Value of the cookie named
li_at. - Paste it into the
liAtCookiefield.
π 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 }}
π€ 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
| 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. |
π How to Use (Apify Console)
- Log in at console.apify.com β 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 β the actor auto-escalates if LinkedIn blocks. - Click Start π
- Watch the live log β 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.
π€ 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 β see Pricing below.
πΌ Best Use Cases
- π― Competitor research β discover companies your competitors are bucketed with.
- π§² Lookalike audience building β feed similar companies into your outbound list.
- πΊοΈ Market mapping β chart adjacent industries and emerging players.
- π― ABM enrichment β expand each target account into a cluster of similar accounts.
- π Investment scouting β surface peers of a portfolio company in seconds.
π³ Pricing (Pay-Per-Event)
- Per result item β billed for each lookalike company returned (
result-itemevent). - β You only pay for successful results. Failed runs and zero-result inputs are free.
- π Hard-cap your spend with Max total charge in the run config β the actor stops cleanly when reached.
β 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 5β10 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.
βοΈ 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 β not for spam or harassment.
- You are responsible for how you use the data.
π 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! π