# LinkedIn Company URL Finder — $0.30/1K (`scrapesignal_labs/linkedin-company-url-finder`) Actor

Find likely public LinkedIn company page URLs from company names without cookies or account login. Export normalized URLs, slugs, confidence scores, snippets, and ranked candidates.

- **URL**: https://apify.com/scrapesignal\_labs/linkedin-company-url-finder.md
- **Developed by:** [ScrapeSignal Labs](https://apify.com/scrapesignal_labs) (community)
- **Categories:** Lead generation, AI, Marketing
- **Stats:** 2 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.30 / 1,000 linkedin company matches

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## LinkedIn Company URL Finder

Find likely public LinkedIn company-page URLs from company names without supplying LinkedIn cookies or logging into an account. The Actor uses public search-engine evidence and does not scrape private LinkedIn pages.

This is useful for CRM enrichment, matching a company table to LinkedIn identifiers, building account-research queues, and preparing URLs for a separately authorized enrichment workflow.

### Output

Each input company produces one dataset row with a normalized LinkedIn company URL and slug when the confidence threshold is reached, plus the matching title, snippet, score, matched name tokens, and ranked alternative candidates.

### Example input

```json
{
  "companyNames": ["OpenAI", "Stripe"],
  "websiteDomains": ["openai.com", "stripe.com"],
  "maxCandidates": 5,
  "minimumConfidence": 0.35
}
```

### Pricing

The introductory price is **$0.30 per 1,000 company searches** plus a **$0.00005 Actor-start event**. Platform usage is paid by the buyer. A dataset record includes retained evidence even when no candidate reaches the chosen confidence threshold.

Company names can be ambiguous and search indexes change. Use the confidence score and candidate evidence, particularly before high-stakes outreach or data merging.

# Actor input Schema

## `companyNames` (type: `array`):

One company or organization name per line.

## `location` (type: `string`):

Optional city, state, or country used to disambiguate companies with similar names.

## `websiteDomains` (type: `array`):

Optional domains in the same order as company names. These can strengthen matching evidence when search snippets contain the domain.

## `maxCandidates` (type: `integer`):

Maximum matching LinkedIn company URLs retained in each record.

## `minimumConfidence` (type: `number`):

Only set the primary LinkedIn URL when its score reaches this 0-to-1 threshold.

## `timeoutSeconds` (type: `integer`):

Maximum seconds for each public search request.

## Actor input object example

```json
{
  "companyNames": [
    "OpenAI",
    "Stripe"
  ],
  "location": "",
  "websiteDomains": [],
  "maxCandidates": 5,
  "minimumConfidence": 0.35,
  "timeoutSeconds": 20
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapesignal_labs/linkedin-company-url-finder").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("scrapesignal_labs/linkedin-company-url-finder").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call scrapesignal_labs/linkedin-company-url-finder --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapesignal_labs/linkedin-company-url-finder"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/OrkEYuZXKcdjbKEoJ/builds/nFeF1KmavlSzNWfpT/openapi.json