# Find Cybersecurity Companies Headquartered in London

**Use case:** 

Builds a list of cybersecurity companies headquartered in London with 11 to 500 employees. Each row has the website domain, industry, headcount band and range, founded year, company type and headquarters, deduplicated by domain. Companies that only have a London office are left out. Swap the keyword for another security niche, or London for Manchester or Dublin, to build the next list.

## Input

```json
{
  "keywords": [
    "cybersecurity"
  ],
  "locations": [
    "London, UK"
  ],
  "companySizes": [
    "11-50",
    "51-200",
    "201-500"
  ],
  "maxCompanies": 15,
  "companies": [
    "gong.io",
    "lemlist",
    "https://www.linkedin.com/company/stripe"
  ],
  "companyTypes": [],
  "requireIndustryMatch": false,
  "requireWebsite": true,
  "requireHqInLocation": true,
  "keepUnknown": false,
  "useBusinessListings": true,
  "useCompanyProfiles": true,
  "enrichWithProfile": true,
  "enrichWithWebsite": true,
  "maxPerQuery": 100,
  "countryCode": "gb",
  "language": "en",
  "maxConcurrency": 8,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "name": {
    "label": "Company",
    "format": "string"
  },
  "domain": {
    "label": "Domain",
    "format": "string"
  },
  "companySize": {
    "label": "Size band",
    "format": "string"
  },
  "employeesMin": {
    "label": "Min",
    "format": "integer"
  },
  "employeesMax": {
    "label": "Max",
    "format": "integer"
  },
  "employeesOnProfile": {
    "label": "On profile",
    "format": "integer"
  },
  "followers": {
    "label": "Followers",
    "format": "integer"
  },
  "foundedYear": {
    "label": "Founded",
    "format": "integer"
  },
  "companyType": {
    "label": "Type",
    "format": "string"
  },
  "headquarters": {
    "label": "HQ",
    "format": "string"
  },
  "city": {
    "label": "City",
    "format": "string"
  },
  "region": {
    "label": "Region",
    "format": "string"
  },
  "country": {
    "label": "Country",
    "format": "string"
  },
  "industry": {
    "label": "Industry",
    "format": "string"
  },
  "industries": {
    "label": "All industries",
    "format": "array"
  },
  "specialties": {
    "label": "Specialties",
    "format": "array"
  },
  "tagline": {
    "label": "Tagline",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Company Finder – B2B Companies by Industry, Size & Location](https://apify.com/inovaflow/company-finder.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/inovaflow/company-finder.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/inovaflow/company-finder.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`).