# Tech companies registered in central London

**Use case:** 

UK companies with an IT or software SIC code (62, 63) and a registered office in central London (EC, WC postcodes), from the official Companies House data: name, number, status, incorporation date, address and SIC codes.

## Input

```json
{
  "mode": "snapshot",
  "sicPrefixes": [
    "62",
    "63"
  ],
  "postcodePrefixes": [
    "EC",
    "WC"
  ],
  "maxItems": 50,
  "onlyNew": false
}
```

## Output

```json
{
  "company_number": {
    "label": "Number",
    "format": "text"
  },
  "company_name": {
    "label": "Company",
    "format": "text"
  },
  "company_status": {
    "label": "Status",
    "format": "text"
  },
  "company_category": {
    "label": "Type",
    "format": "text"
  },
  "incorporation_date": {
    "label": "Incorporated",
    "format": "date"
  },
  "sic_codes": {
    "label": "SIC codes",
    "format": "array"
  },
  "registered_office": {
    "label": "Registered office",
    "format": "object"
  },
  "accounts_overdue": {
    "label": "Accounts overdue",
    "format": "boolean"
  },
  "confirmation_statement_overdue": {
    "label": "Conf. statement overdue",
    "format": "boolean"
  },
  "company_url": {
    "label": "Companies House",
    "format": "link"
  }
}
```

## How it works

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

The Companies House Bulk Data: UK Companies + Monthly Changes Actor is ready to run with the inputs already set for "Tech companies registered in central London". [Sign up or log in](https://console.apify.com/create-task-from-example/LcZS8gkR8m4Lbqom3) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Tech companies registered in central London" task

The Companies House Bulk Data: UK Companies + Monthly Changes Actor will start running based on the input automatically. You can also change all the input fields, like mode, SIC code prefixes, and more, to match your specific use case.

### 3. Receive the "Tech companies registered in central London" 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 number, company, status, 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 "Tech companies registered in central London" task via API](https://apify.com/wrtcom/uk-company-registry.md).

## FAQ

### Where does the London tech companies list come from?

The London tech companies task reads the free Companies House company data product (monthly). It returns company-level data only, no officers or persons.

## About this Actor

This example demonstrates how to use [Companies House Bulk Data: UK Companies + Monthly Changes](https://apify.com/wrtcom/uk-company-registry.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/wrtcom/uk-company-registry.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/wrtcom/uk-company-registry.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`).