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Companies & businessLiveCrown copyright (Companies House reuse terms)

Companies House data

Companies House offers a free advanced search capped at 5,000 rows and the monthly snapshot as one large ZIP or seven smaller files. Use those official routes when they fit. When you need a complete filtered slice, pick a registered-office area, SIC code, status or incorporation date here and preview it before downloading. Company-level only: no directors or persons with significant control.

Full file will not fit in one Excel worksheet →SIC search stopped at 5,000 rows →API rate limit blocking a batch job →
Preview it free. Your list for £4.99.

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Filter & download · £4.99Download free sample
Status Active ▾
Post town Leeds ▾
Incorporated since 2026-01-01 ▾
uk-companies.csv
Source: Companies House basic company data, Crown copyright. Preview 25 rows free; buy this filtered export or use Pro for every matching row.

Or pull it straight into your code or your agent

cURLJavaScriptPythonMCP (Claude, ChatGPT, Cursor)
# Active companies incorporated in Leeds since 1 January 2026, as CSV
curl "https://datascoop.io/v1/datasets/companies-house/query?\
  status=Active&postTown=Leeds&incorporatedSince=2026-01-01&format=csv" \
  -H "Authorization: Bearer ds_your_key"
// # Active companies incorporated in Leeds since 1 January 2026, as CSV
const res = await fetch("https://datascoop.io/v1/datasets/companies-house/query?status=Active&postTown=Leeds&incorporatedSince=2026-01-01", {
  headers: { Authorization: "Bearer ds_your_key" }
});
const { rows, total, attribution } = await res.json();
# # Active companies incorporated in Leeds since 1 January 2026, as CSV
import requests
r = requests.get("https://datascoop.io/v1/datasets/companies-house/query",
                 params={"status":"Active","postTown":"Leeds","incorporatedSince":"2026-01-01"},
                 headers={"Authorization": "Bearer ds_your_key"})
rows = r.json()["rows"]
# Claude Code (one line; other clients on /agents)
claude mcp add --transport http datascoop https://datascoop.io/mcp \
  --header "Authorization: Bearer ds_your_key"

# Your agent then calls
query_dataset({ dataset: "companies-house", filters: {"status":"Active","postTown":"Leeds","incorporatedSince":"2026-01-01"} })

Everything you need on every row

Organisational fields only. No personal contact lists.

company namecompany numberstatuscompany typeincorporated onregistered officepost townpostcodeSIC codesaccounts categoryaccounts dueconfirmation statementchargesprevious nameCompanies House URL
The deal

Preview it free. Pay only when you download.

Preview any slice free. When the rows are right, your spreadsheet-ready file is £4.99, no account needed. Need to repeat the query when the monthly snapshot changes, or use the register in your app or agent? Pro gives you unlimited files, the full API and MCP.

£0
Preview
£4.99
Per export
£19/mo
Pro · unlimited
Filter & download

Source & licence

Companies House basic company data (the free monthly snapshot), Crown copyright, reused under Companies House's reuse terms: reproduced accurately, not used in a misleading context, source acknowledged. Company-level data only: no officers or persons with significant control. DataScoop is independent and not affiliated with or endorsed by Companies House. How we build and refresh this dataset →

Building something? Get a free API key.

Query the current DataScoop import of Companies House data from your app or AI agent in one call. Account creation happens on a private page where analytics is disabled. Upgrade to Pro whenever you need unlimited files and full API and MCP access. Connect Claude, ChatGPT or Cursor.

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