UK Company Data — Companies House 🇬🇧

🎉 Turn Companies House into clean, structured UK company data — no login, no API key, one row per company, with the company number, status, type, SIC codes, registered address and officer / PSC / charges counts. Built for B2B sales, KYB / compliance and market research.

🔍 What is the UK Company Data — and when should you use it?

Give this actor company names or company numbers and it returns matching companies from the UK Companies House register (official open API) — as clean, deduplicated rows you can filter, export or feed to an AI agent. Every run queries the source live, so the data is as fresh as the registry itself.

Use it when you need: a UK company list for outreach; formation / status monitoring; or a canonical registry record for KYB and due diligence.

Use something else when: you need the full PSC / charges detail or accounts figures — this returns the profile plus counts; the detailed lists are a documented follow-up.

🤖 Use with AI agents

Already on the Apify MCP server? Ask for this Actor by name: foxlabs/uk-company-data.

Your agent can pay for its own runs. This Actor is pay-per-event with agentic payments, so an agent can discover it, run it and settle the bill over x402 (USDC on Base) or Skyfire — no Apify account or API token of its own. Billing is the same either way: per delivered record, never for errors.

Otherwise paste this into Claude, ChatGPT, Cursor or any MCP-enabled assistant:

I want to pull UK company records using the Apify Actor `foxlabs/uk-company-data`.
Input: `queries` is a list of company names or company numbers. `maxResultsPerQuery` caps rows per query.
Start with: {"queries":["undefined"],"maxResultsPerQuery":50}
Ask me what to look up, run the Actor, then summarise the rows as a table.

The machine-readable API, MCP config and OpenAPI definition live at apify.com/foxlabs/uk-company-data.md.

📋 Overview

Everything you need to turn the UK Companies House register (official open API) into clean, structured data — in one actor, with no login, cookies or API key.

Why teams pick this actor:

• ✅ Whole registry, one call — name or ID in, matching companies out.
• 🧹 No empty-promise columns — only fields this registry actually fills; degenerate columns are removed.
• 🔗 Stable identifiers — every row carries the source's own IDs, ready to join across runs and to other Fox Labs actors.
• 💰 Pay only for results — per-row pricing, empty/failed lookups never billed.
• 🤖 Agent-ready — MCP + x402 agentic payments.

✨ Features

• 🔍 Name or ID lookup — relevance-ranked name search or exact registry-ID lookup.
• 🏢 Full entity profile — status, legal form, formation date, address and the registry’s own contact fields.
• 🧹 Clean schema — deduplicated camelCase rows, ready for CSV/Excel/JSON.

🎬 Quick Start

curl -X POST "https://api.apify.com/v2/acts/foxlabs~uk-company-data/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"queries":["undefined"],"maxResultsPerQuery":50}'

🚀 Getting Started (3 steps)

1. Choose your targets — company names or company numbers.
2. Set the cap — maxResultsPerQuery limits rows per query.
3. Run and export — get a clean dataset as JSON, CSV or Excel.

📥 Input

{"queries":["undefined"],"maxResultsPerQuery":50}

Field	Type	Description
queries	array	Company names or company numbers.
maxResultsPerQuery	integer	Caps rows per query.
maxConcurrency	integer	How many queries to fetch at once.
includeRaw	boolean	Attach the source’s untouched record under raw.

📤 Output

One row per company, saved to the dataset. Every row also carries query, scrapedAt, and — when a lookup fails — an error explaining why (never silently dropped, never billed).

Field	Description
company_number	Company number
company_name	Company name
company_status	Company status
company_type	Company type
incorporation_date	Incorporation date
sic_codes	Sic codes
registered_address	Registered address
registered_in	Registered in
previous_company_names	Previous company names
previous_names_count	Previous names count
accounts_type	Accounts type
accounts_period_start	Accounts period start
accounts_period_end	Accounts period end
accounting_reference_date	Accounting reference date
last_accounts_date	Last accounts date
next_accounts_due	Next accounts due
next_accounts_due_on	Next accounts due on
next_accounts_overdue	Next accounts overdue
last_confirmation_statement	Last confirmation statement
next_confirmation_statement	Next confirmation statement
next_confirmation_due	Next confirmation due
confirmation_overdue	Confirmation overdue
last_members_list_date	Last members list date
has_charges	Has charges
has_insolvency_history	Has insolvency history
can_file	Can file
undeliverable_registered_office	Undeliverable registered office
registered_office_in_dispute	Registered office in dispute
officers	Officers
officers_count	Officers count
officers_truncated	Officers truncated
officers_text	Officers text
resigned_officers	Resigned officers
resigned_officers_count	Resigned officers count
psc_count	Psc count
charges_count	Charges count
charges_outstanding	Charges outstanding
recent_filings	Recent filings
filing_categories	Filing categories
total_filings	Total filings
matched	Matched
source	Source
source_url	Source url
scraped_at	Scraped at

💼 Use cases

1. UK B2B lead lists — active UK companies by name or SIC. Input: name searches. Output: companies + SIC + address. Use: a ready sales list.

2. KYB / due diligence — verify a UK company by number. Input: the company number or name. Output: the canonical Companies House record. Use: confirm status and standing.

3. Risk signals — flag companies with charges or many PSCs. Input: company numbers. Output: PSC + charges counts. Use: a risk screen.

🔗 Integration

JavaScript / Node.js

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('foxlabs/uk-company-data').call({"queries":["undefined"],"maxResultsPerQuery":50});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0]);

Python

from apify_client import ApifyClient
client = ApifyClient('YOUR_TOKEN')
run = client.actor('foxlabs/uk-company-data').call(run_input={"queries":["undefined"],"maxResultsPerQuery":50})
for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)

Automation (n8n / Zapier / Make): schedule or webhook → HTTP request to the actor API with your queries → handle the JSON dataset → push to a sheet, CRM or dashboard.

📊 Pricing

Pay-per-event: per delivered record. Empty or failed lookups are never billed. View current pricing.

❓ FAQ

Do I need an account, login or API key? No. This reads the UK Companies House register (official open API).

What do I search by? Company names or company numbers.

How current is the data? Every run queries the source live, so results are as fresh as the registry.

Does it include PSC and charges? It returns officer, PSC (persons with significant control) and charges counts. The full PSC / charges lists come from separate Companies House sub-endpoints and are a planned enrichment.

Can I export to CSV / Excel / JSON? Yes — directly from the Apify dataset.

🐛 Troubleshooting

• Fewer rows than expected — raise maxResultsPerQuery, or refine the name.
• A name returns an unexpected entity — it matched a similar registered name; search the exact registry ID.
• No rows for a name — try the entity’s exact legal name or its registry ID.

⚖️ Is it legal to scrape this data?

This actor reads a public government business registry published as open data. Results can still contain personal data (e.g. a person’s name); personal data is protected by the GDPR and similar laws, so only process it with a legitimate basis. See Apify’s blog post on the legality of web scraping.

🤝 Support & contact

• 🌐 Website: data.foxlabs.com.tr
• 📧 Email: info@foxlabs.com.tr
• 🐛 Issues: open a ticket in the Actor’s Issues tab
• 🧰 More clean B2B data actors: Fox Labs on Apify

Changelog

0.1 — 2026-09-07

• Dropped empty-promise columns. Removed company_status_detail, subtype, dissolution_date, foreign_company_details, branch_company_details, annual_return, registered_email, website, persons_with_significant_control, psc_text, charges, charges_text — UK Companies House register (official open API) does not carry them, so they were shipped as always-null columns. Only fields this source actually fills are now emitted.
• Enabled AI-agent payments (x402) + rebuilt the README to the full standard (What-is / when, AI-agents + x402 agentic payments + MCP, Overview, Features, Use cases, Integration, FAQ, Troubleshooting, Support & contact).

0.0

• Initial release: data from the UK Companies House register (official open API) by name or registry ID.