# Get headquarters and founding year for a competitor list

**Use case:** 

Paste LinkedIn company page URLs for competitors or market peers and get headquarters city and country, founding year, employee count, company type and follower count for each. Handy for a quick market map in a spreadsheet.

## Input

```json
{
  "items": [
    "https://www.linkedin.com/company/shopify",
    "https://www.linkedin.com/company/hubspot",
    "https://www.linkedin.com/company/atlassian",
    "https://www.linkedin.com/company/salesforce"
  ],
  "limit": 10,
  "includeAudit": false
}
```

## Output

```json
{
  "name": {
    "label": "Name",
    "format": "string"
  },
  "domain": {
    "label": "Domain",
    "format": "string"
  },
  "industry": {
    "label": "Industry",
    "format": "string"
  },
  "employeeCount": {
    "label": "Employees",
    "format": "integer"
  },
  "employeeRange": {
    "label": "Size range",
    "format": "string"
  },
  "hqCity": {
    "label": "HQ city",
    "format": "string"
  },
  "hqState": {
    "label": "HQ state",
    "format": "string"
  },
  "hqCountry": {
    "label": "HQ country",
    "format": "string"
  },
  "foundedYear": {
    "label": "Founded",
    "format": "integer"
  },
  "type": {
    "label": "Type",
    "format": "string"
  },
  "followerCount": {
    "label": "Followers",
    "format": "integer"
  },
  "fundingTotalUsd": {
    "label": "Funding total (USD)",
    "format": "integer"
  },
  "fundingRounds": {
    "label": "Funding rounds",
    "format": "integer"
  },
  "website": {
    "label": "Website",
    "format": "string"
  },
  "linkedinUrl": {
    "label": "LinkedIn page",
    "format": "string"
  },
  "linkedinCompanyId": {
    "label": "LinkedIn company id",
    "format": "string"
  },
  "tagline": {
    "label": "Tagline",
    "format": "string"
  },
  "description": {
    "label": "Description",
    "format": "string"
  },
  "updatedAt": {
    "label": "Updated",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The LinkedIn Company Scraper by URL | No Cookies Actor is ready to run with the inputs already set for "Get headquarters and founding year for a competitor list". [Sign up or log in](https://console.apify.com/create-task-from-example/eVNrhlyqUgogrgewQ) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Get headquarters and founding year for a competitor list" task

The LinkedIn Company Scraper by URL | No Cookies Actor will start running based on the input automatically. You can also change all the input fields, like which companies? (linkedin company page urls), max companies in total, and more, to match your specific use case.

### 3. Receive the "Get headquarters and founding year for a competitor list" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as name, domain, industry, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Get headquarters and founding year for a competitor list" task via API](https://apify.com/b2bdata/company-by-linkedin-url.md).

## FAQ

### What does the competitor company data task return?

The competitor data task returns for each LinkedIn company page the name, headquarters city and country, founding year, company type, employee count, follower count and website.

### What input does the competitor list task need?

This task needs LinkedIn company page URLs, one per competitor. The same company given in two URL forms becomes one row. Use the limit field to cap the run.

### How do I turn the competitor lookup into a recurring report?

Run the competitor lookup task through the Apify API, put it on a schedule in Apify Console, or start it by hand. Export the dataset as CSV or JSON and open it in Google Sheets or Excel.

### Can this task compare competitor size and age side by side?

The competitor list task returns employee count and founding year as separate columns for each company, so you can export to CSV or Google Sheets and sort competitors by size or age.

## About this Actor

This example demonstrates how to use [LinkedIn Company Scraper by URL | No Cookies](https://apify.com/b2bdata/company-by-linkedin-url.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/b2bdata/company-by-linkedin-url.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/b2bdata/company-by-linkedin-url.md

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`).
