How to find a company's LinkedIn page from its website or name, in bulk

Updated 2026-11-12 · Data and API builders · by CyberMax

Copy-paste code

Python (pip install apify-client): domains in, LinkedIn pages out

Copyimport csv, os
from apify_client import ApifyClient

rows = [r[0] for r in csv.reader(open("accounts.csv")) if r]  # names, domains or work emails
client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("cybermax/linkedin-company-finder").call(run_input={
    "companies": rows,
    "minConfidence": 0.7,
})
with open("linkedin.csv", "w", newline="") as f:
    w = csv.writer(f)
    w.writerow(["input", "linkedin", "confidence", "domain", "status"])
    for r in client.dataset(run["defaultDatasetId"]).iterate_items():
        w.writerow([r["input"], r.get("linkedinUrl"), r.get("confidence"), r.get("domain"), r["status"]])

JavaScript / Node (npm i apify-client)

Copyimport { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('cybermax/linkedin-company-finder').call({
  companies: ['Stripe', 'hubspot.com', 'jane@linear.app', 'Monzo Bank | gb'],
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
for (const r of items) console.log(r.input, '->', r.linkedinUrl ?? r.status, r.confidence);

No code: n8n, Make or Zapier

Copyn8n: HTTP Request node (or the Apify node, action "Run an Actor and get dataset")
Method:  POST
URL:     https://api.apify.com/v2/acts/cybermax~linkedin-company-finder/run-sync-get-dataset-items
Auth:    Header Auth  ->  Authorization: Bearer <your Apify token>
Body:    JSON  {"companies": {{ $json.domains }}, "minConfidence": 0.7}
Output:  one n8n item per result row

Make:    Apify app -> "Run an Actor" (Actor: cybermax/linkedin-company-finder, wait for finish = yes)
         -> Apify "Get Dataset Items" (dataset = the run's defaultDatasetId) -> your next module
Zapier:  Apify app -> action "Run Actor" (cybermax/linkedin-company-finder, input JSON as above)
         -> trigger "Finished Actor Run" -> "Fetch Dataset Items" -> your app
Runs longer than 5 minutes: start with POST /v2/acts/cybermax~linkedin-company-finder/runs and read the dataset when the run finishes.

CRM flow: Google Sheets / HubSpot "Get rows" where LinkedIn is empty -> Aggregate the domain column -> the request above -> "Update row" with linkedinUrl and confidence. Clay: an HTTP API column with the same request.

From an AI agent (MCP)

Copy# Any MCP client (Claude Desktop, Claude Code, Cursor, VS Code): Apify's hosted MCP server
{
  "mcpServers": {
    "linkedin-company-finder": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.apify.com/?tools=cybermax/linkedin-company-finder",
               "--header", "Authorization: Bearer ${APIFY_TOKEN}"],
      "env": { "APIFY_TOKEN": "<your Apify token>" }
    }
  }
}
# The agent sees one tool, cybermax--linkedin-company-finder, with the Actor's input schema.
# Ask: "find the LinkedIn company pages for these 30 domains".

Source: Linkwhere (Apify Actor cybermax/linkedin-company-finder) README, real Apify run on 10 Nov 2026: 9 of 12 found; the 3 misses cost nothing

Why not search "site:linkedin.com/company"?

Search results often return a similarly named company, a regional subsidiary or an old page. A page the company links from its own website (or that Wikidata records for it) is the one it actually uses, and the evidence column says which source agreed.

No LinkedIn scraping, company pages only

Linkwhere never requests linkedin.com, never logs in and never touches personal profiles. It reads public company websites (homepage first, then about, careers and corporate pages) and Wikidata (CC0), and reports the company page the company itself publishes.

Start from names: website first, then LinkedIn

For a list of company names, the first step is the official website. Linkwhere uses the same engine as Namewhere (Wikidata plus verified domain checks), so one run returns the domain, its confidence and the LinkedIn page. If you only need domains, Namewhere alone is cheaper.

Good to know

Price on Apify: $0.003 per LinkedIn page found ($3 per 1,000), no start fee. Not found, low confidence, invalid input and errors are free. Apify's free plan includes $5 of usage each month (about 1,600 pages found).

Some sites render their footer only with JavaScript or link only Instagram and TikTok; those rows come back not found and cost nothing.

Linkwhere: Find any company's LinkedIn page

$0.003 per LinkedIn page found, no start fee

Only need the website? Namewhere turns company names into official domains with a confidence score at $0.0008 per match, the same engine Linkwhere uses before it finds the LinkedIn page.

Get LinkwhereSee what's insideTry free on Apify

Runs on your own Apify account, pay per result; failed results are not charged.

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