Companies House UK Scraper

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🎯 What this scrapes

UK Companies House publishes every registered company in the country. We search it by company name, or by town, SIC code, status and incorporation date range, and return one clean, deduplicated row per company: number, status, incorporation date, SIC codes and registered address, with optional company details and officers.

🔥 What we handle for you

• 🛡️ We send browser-grade requests (curl-cffi Chrome impersonation) so Companies House sees a real browser, not Python.
• 🔁 We retry failed pages automatically with exponential backoff on 408 / 429 / 5xx, up to 5 attempts per page, honouring Retry-After.
• 🌐 We rotate the Apify Proxy session with a fresh exit IP on every block.
• 🧊 We keep the dataset clean — Pydantic-validated rows, deduplicated by company number across every query and page, ISO-8601 dates.
• 💰 You pay only for results that land. No companies, no charge — only the small actor-start fee.

💡 Use cases

• Lead generation — list active software companies in Leeds (SIC 62020) incorporated this year.
• Sales prospecting — find newly incorporated companies by town and industry code before competitors do.
• KYC and due diligence — check status, incorporation date and officers for a list of company names.
• Market research — count and profile companies by SIC code, town and incorporation window.

⚙️ How to use it

1. Click Try for free at the top of the page.
2. Fill in the input form — most fields have sensible defaults.
3. Click Start. Output streams into the run's dataset.
4. Export from Storage → Dataset as JSON, CSV, or Excel — or fetch via the API.

📥 Input

Field	Type	Required	Default	Notes
mode	string	no	'advanced'	search = keyword search by company name. advanced = lead-gen filters (town, SIC code, status, incorporation dates).
queries	array	no	[]	Company name keywords. Required in keyword search mode; each query is searched separately.
town	string	no	'Leeds'	Registered-office town or address text for advanced mode, for example Leeds.
sicCodes	array	no	[]	4 or 5 digit UK SIC 2007 codes for advanced mode, for example 62020.
status	string	no	'active'	Advanced mode status filter. any applies no status filter.
incorporatedFrom	string	no	'—'	Advanced mode: only companies incorporated on or after this date (YYYY-MM-DD).
incorporatedTo	string	no	'—'	Advanced mode: only companies incorporated on or before this date (YYYY-MM-DD).
includeDetails	boolean	no	False	Fetch each company page for SIC descriptions, company type and registered address. One extra request per company; no…
includeOfficers	boolean	no	False	Fetch each company's officers list. One extra request per company; no extra charge.
maxResults	integer	no	30	Maximum number of companies to return across the whole run.
proxyConfiguration	object	no	{'useApifyProxy': True}	Apify Proxy settings. The default is Apify datacenter proxy.

Example input

{
  "mode": "advanced",
  "town": "Leeds",
  "sicCodes": [
    "62020"
  ],
  "status": "active",
  "maxResults": 5,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

📤 Output

Every row is one dataset item.

Field	Type	Notes
companyNumber	string	Companies House company number (dedup key).
name	string	Registered company name.
status	['string', 'null']	Normalised status: active, dissolved, liquidation or other.
statusDetail	['string', 'null']	Raw status text as shown on the site.
incorporatedOn	['string', 'null']	Incorporation date, ISO-8601.
dissolvedOn	['string', 'null']	Dissolution date, ISO-8601.
companyType	['string', 'null']	Company type, for example Private limited company.
sicCodes	array	SIC 2007 codes.
sicDescriptions	array	SIC descriptions (includeDetails only).
address	['string', 'null']	Registered office address.
previousNames	array	Matching previous company names.
url	string	Companies House company page URL.
officers	['array', 'null']	Officers list (includeOfficers only).
scrapedAt	string	UTC scrape timestamp, ISO-8601.

Example output

{
  "companyNumber": "13106211",
  "name": "ISOROBOT LIMITED",
  "status": "active",
  "statusDetail": "Active",
  "incorporatedOn": "2020-12-31",
  "dissolvedOn": null,
  "companyType": "Private limited company",
  "sicCodes": [
    "62012",
    "62020",
    "70229"
  ],
  "address": "20 Syke Lane, Scarcroft, Leeds, England LS14 3BQ",
  "previousNames": [],
  "url": "https://find-and-update.company-information.service.gov.uk/company/13106211",
  "officers": null,
  "scrapedAt": "2026-10-11T09:00:00Z"
}

💰 Pricing

Pay-Per-Event — you pay only when these events fire:

Event	USD	What it is
actor-start	$0.2	One-off warm-up charge per run
result	$0.003	Per dataset item

Example: 1 000 results at the rates above ≈ $3.20. No subscription, no minimum, no card to start — Apify gives every new account $5 of free credit.

🚧 Limitations

Rows carry the public company data shown on Companies House search and company pages. Accounts, filing history, charges and persons with significant control are not included. Search is capped by the source at 10,000 results per query. Officer lists cover the first page of appointments shown (up to 35). The incorporation end-date filter is covered by unit tests only and has not been confirmed against the live site.

❓ FAQ

Do I need a Companies House API key?

No. Give us keywords or filters and we do the rest.

What is the difference between the two modes?

Keyword search matches company names. Advanced mode filters by town, SIC code, status and incorporation dates.

How many companies can one search return?

Up to 10,000 per run. The source serves 20 companies per page and we page automatically, stopping when results end.

What do includeDetails and includeOfficers add?

includeDetails adds SIC descriptions, company type and the registered address from the company page. includeOfficers adds the officers list. Each costs one extra request per company and adds no extra charge.

What does a run cost?

$3.00 per 1,000 companies plus a one-off $0.20 start fee.

💬 Your feedback

Spotted a bug, hit a weird edge case, or need a new field? Open an issue on the Actor's Issues tab on Apify Console — we ship fixes weekly and we read every report.

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