You can access the Companies House UK Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=lexis-solutions/companies-house-uk-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Companies House UK Scraper | Scrape UK Businesses

Get a ready-to-use configuration for your MCP client with the Companies House UK Scraper | Scrape UK Businesses Actor preconfigured at mcp.apify.com?tools=lexis-solutions/companies-house-uk-scraper .

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.

UK Companies House Scraper - Company and People

skunkattack/uk-companies-house-scraper---company-and-people

This actor scrapes publicly available company information from Companies House, providing easy access to business details, SIC codes, and details of company officers.

Matthew Skunks

Company House Scraper

dhrumil/company-house-scraper

Easily extract publicly available business data from UK Companies House, including company registration numbers, names, addresses, incorporation dates, statuses, SIC codes, officers, and official URLs. Perfect for due diligence, lead generation, and business research.

Dhrumil Bhankhar

UK Landregistry Sold Price History Scraper

dhrumil/uk-landregistry-sold-price-history-scraper

Scrape UK Land Registry sold price data by postcode or outcode. Get structured datasets grouped by house number/street for real estate analysis, matching, and enrichment. Export in JSON/CSV/Excel. Ideal for Rightmove, Zoopla, and UK property projects.

Dhrumil Bhankhar

Rightmove EPC Full Address Finder

dhrumil/rightmove-epc-full-address-finder

Find full address including house number and street from rightmove.co.uk from cross matching etc data from United Kingdom. Our Rightmove Full Address House Number Finder helps you convert your leads faster.

Dhrumil Bhankhar

Rightmove Landregistry Full Address House Number Finder

dhrumil/rightmove-landregistry-full-address-house-number-finder

Unlock full UK property addresses with house numbers by matching Rightmove history with Land Registry sold data. Find accurate, verified property details hidden from public view—perfect for agents, investors, and researchers.

Dhrumil Bhankhar

Rightmove Sold House Properties Scraper

dhrumil/rightmove-sold-house-properties-scraper

Scrape rightmove.co.uk to crawl millions of sold house properties from United Kingdom. Our real estate scraper also lets you monitor specific listing for newly sold properties. You can provide multiple search result listings to scrape/monitor.

Dhrumil Bhankhar

Rightmove Full Address House Number Finder

dhrumil/rightmove-full-address-house-number-finder

Find full address including house number and street from rightmove.co.uk from rightmove property sale/rent real listing from United Kingdom. Our Rightmove Full Address House Number Finder helps you convert your leads faster.

Dhrumil Bhankhar

Rightmove | Buy | Rent | Sell | House Prices |Agent(s)| 1$ / 1K

memo23/apify-rightmove-scraper

Scrape Rightmove for properties for sale, rentals, sold prices, and estate agent details. Extract 100+ data points per listing, including price history, images, floor plans, and EPC ratings. Track market trends and monitor price changes with our powerful and fast scraper.

Muhamed Didovic

DNB Companies Scraper

dtrungtin/dnb-companies-scraper

Filtering and extracting data about companies from https://www.dnb.com. Easily filtering results by different criteria such as revenue minimum, number of employees minimum, located in different countries, etc.