# LinkedIn Company Search Scraper (No Cookies) (`chirpy_polygon/linkedin-company-search-scraper-no-cookies`) Actor

Search and discover LinkedIn companies by keyword, industry, location and company size. Export company name, website, industry, followers, headcount and LinkedIn URL with no cookies or login.

- **URL**: https://apify.com/chirpy_polygon/linkedin-company-search-scraper-no-cookies.md
- **Developed by:** [Bhojraj Pilaniya](https://apify.com/chirpy_polygon) (community)
- **Security:** Full permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.00 / 1,000 company results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## LinkedIn Company Search Scraper (No Cookies)

Discover LinkedIn companies by keyword, industry, location and company size. **No LinkedIn login, cookies, or account required.**

Export clean, deduplicated company records for B2B prospecting, market mapping, competitor research and workflow automation.

This Actor is unofficial and is not affiliated with LinkedIn.

### What you get

- Company name
- LinkedIn company URL and universal name
- Website
- Primary industry and industry list
- Company type
- Employee count and employee count range
- Follower count
- Founded year
- Headquarters location
- Company description
- Logo URL

### Popular use cases

- Build a target account list by industry, location and headcount
- Market mapping for a niche (e.g. fintech companies in India with 51-200 employees)
- Competitor and similar-company research
- Enrich a CRM with company firmographics
- Feed new companies into n8n, Make, Zapier, Google Sheets, Airtable or a CRM

### Why this Actor

- No cookies or LinkedIn login needed
- Filter by keyword, industry, location, size range and numeric industry IDs
- Paginate up to 20 result pages (about 50 companies per page)
- Deduplicates companies automatically
- Clean normalized schema, ready for sheets and CRMs

### Input

| Field | Description |
| --- | --- |
| Search Query | Free-text company search, e.g. fintech, SaaS, marketing |
| Industries (text filter) | Industry keywords |
| Headquarters Locations | Full location names, e.g. India, United Kingdom |
| Company Size Ranges | e.g. 11-50, 51-200, 201-500, 501-1000 |
| Industry IDs | LinkedIn numeric industry IDs (max 20) |
| Maximum Companies | Cap on collected companies |
| Search Pages to Scrape | Pages to read, about 50 companies each |
| Start Page | Page number to start from (1-20) |

### Quick start

1. Enter a search query such as `fintech`.
2. Optionally add a location such as `India`.
3. Keep `Maximum Companies` at 25 for the first run.
4. Increase limits after verifying the output.

### Example input

```json
{
  "searchQuery": "fintech",
  "locations": ["India"],
  "companySize": ["51-200"],
  "maxCompanies": 25
}
```

### Output example

```json
{
  "companyName": "Example Fintech",
  "linkedinUrl": "https://www.linkedin.com/company/example-fintech/",
  "website": "https://example.com",
  "industry": "Financial Services",
  "industries": ["Financial Services"],
  "companyType": "Privately Held",
  "employeeCount": 180,
  "employeeCountRange": "51-200",
  "followerCount": 9400,
  "foundedYear": 2016,
  "headquarters": "Mumbai, Maharashtra, India"
}
```

### Pricing and total cost

- This Actor charges a fixed price **per saved company** (see the Pricing tab for the current rate and plan discounts).
- It runs a paid no-cookie data source underneath; those source charges are passed through and disclosed separately.
- A small Actor-start fee can apply even when no company is saved.
- Dry Run writes a sample row only and does not trigger a result charge.

### Pairing with other Actors

This Actor finds companies. To enrich them further:

- **LinkedIn Company Details Scraper** for full company profiles by URL
- **LinkedIn Employee Scraper** for people at each company
- **LinkedIn Jobs Scraper** to see who is hiring

### Limits and result interpretation

- Results reflect publicly visible LinkedIn companies at the time of the run.
- Location and industry text matching is fuzzy; use full country names and standard size ranges.
- Follower count and employee count are LinkedIn's reported values, not audited figures.
- A `SUCCEEDED` run means the run finished. Always inspect the dataset before importing.

### Legal and platform note

Use this Actor responsibly and only for lawful purposes. Review LinkedIn terms and applicable privacy/data protection rules for your use case.

# Actor input Schema

## `dryRun` (type: `boolean`):

Preview only; returns a sample row instead of live data. No result event is intended; an Actor-start fee can still apply.

## `detailLevel` (type: `string`):

Short is faster and cheaper (name, industry, location, followers). Full also returns headcount, size range and website, but the source charges more per company.

## `searchQuery` (type: `string`):

Free-text LinkedIn company search, e.g. marketing, fintech, SaaS. Supports search operators.

## `industries` (type: `array`):

Optional industry keywords, e.g. Software Development, Marketing Services.

## `locations` (type: `array`):

Filter by company location. Use full names, e.g. India, United Kingdom, United States.

## `companySize` (type: `array`):

Filter by company size range, e.g. 11-50, 51-200, 201-500, 501-1000, 1001-5000.

## `industryIds` (type: `array`):

Optional LinkedIn numeric industry IDs, e.g. 4 for Software Development. Maximum 20.

## `maxCompanies` (type: `integer`):

Maximum number of companies to collect.

## `takePages` (type: `integer`):

How many result pages to read. Each page has about 50 companies (LinkedIn maximum is 20 pages).

## `startPage` (type: `integer`):

Page number to start from (1-20).

## `sourceMaxTotalChargeUsd` (type: `number`):

Advanced safety cap for the underlying data collection run. Leave empty for an automatic cap based on your company limit.

## `sourceWaitSecs` (type: `integer`):

Maximum time to wait for the underlying data collection run.

## Actor input object example

```json
{
  "dryRun": false,
  "detailLevel": "short",
  "maxCompanies": 25,
  "takePages": 1,
  "startPage": 1,
  "sourceWaitSecs": 1800
}
```

# Actor output Schema

## `results` (type: `string`):

No description

## `runSummary` (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 = {
    "dryRun": false,
    "maxCompanies": 25
};

// Run the Actor and wait for it to finish
const run = await client.actor("chirpy_polygon/linkedin-company-search-scraper-no-cookies").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 = {
    "dryRun": False,
    "maxCompanies": 25,
}

# Run the Actor and wait for it to finish
run = client.actor("chirpy_polygon/linkedin-company-search-scraper-no-cookies").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 '{
  "dryRun": false,
  "maxCompanies": 25
}' |
apify call chirpy_polygon/linkedin-company-search-scraper-no-cookies --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,chirpy_polygon/linkedin-company-search-scraper-no-cookies"
        }
    }
}
```

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/qo4ctOQYMBUbbixbU/builds/kGbmer0lJVL360hkP/openapi.json