UK Companies House Scraper

Here is one real result, with every field the actor returns (officers trimmed to 2 of the 35 returned; the full officer list is included in every record):

{
  "companyNumber": "00445790",
  "companyName": "TESCO PLC",
  "status": "Active",
  "type": "Public limited Company",
  "incorporationDate": "27 November 1947",
  "registeredAddress": "Tesco House, Shire Park, Kestrel Way, Welwyn Garden City, United Kingdom, AL7 1GA",
  "sicCodes": [
    {
      "code": "47110",
      "description": "Retail sale in non-specialised stores with food, beverages or tobacco predominating"
    }
  ],
  "previousNames": null,
  "accountsNextDue": "26 August 2027",
  "nextAccountsMadeUpTo": "26 February 2027",
  "lastAccountsMadeUpTo": "28 February 2026",
  "accountsOverdue": null,
  "confirmationStatementNextDue": "2 July 2027",
  "nextConfirmationStatementDate": "18 June 2027",
  "lastConfirmationStatementDate": "18 June 2026",
  "confirmationStatementOverdue": null,
  "url": "https://find-and-update.company-information.service.gov.uk/company/00445790",
  "officers": [
    {
      "name": "TAYLOR, Christopher Jon",
      "role": "Secretary",
      "status": "Active",
      "appointedOn": "14 April 2025",
      "resignedOn": null,
      "dateOfBirth": null,
      "nationality": null,
      "countryOfResidence": null,
      "occupation": null,
      "correspondenceAddress": "Tesco House, Shire Park, Kestrel Way, Welwyn Garden City, United Kingdom, AL7 1GA"
    },
    {
      "name": "BETHELL, Melissa",
      "role": "Director",
      "status": "Active",
      "appointedOn": "24 September 2018",
      "resignedOn": null,
      "dateOfBirth": "September 1974",
      "nationality": "British",
      "countryOfResidence": "United Kingdom",
      "occupation": null,
      "correspondenceAddress": "Tesco House, Shire Park, Kestrel Way, Welwyn Garden City, United Kingdom, AL7 1GA"
    }
  ],
  "personsWithSignificantControl": [],
  "filingHistory": [],
  "source": "UK Companies House",
  "observedAt": "2026-08-10T14:35:24.827Z"
}

The most complete UK Companies House scraper available. It returns every field the public register exposes for each company, from status, type, incorporation date, registered address and SIC codes to accounts and confirmation-statement due dates, plus optional officers (directors and secretaries), persons with significant control (beneficial owners) and filing history, and gives you keyword or company-number lookup.

📥 Input · 📤 Output · 💰 Pricing · ▶️ Examples

Table of contents

• What it does
• Quickstart
• Input reference
• Output reference
• Example output record
• Run via API and CLI
• Fetch results
• Billing and limits
• FAQ and troubleshooting

What it does

The actor searches the UK Companies House register by keyword, or looks up exact company numbers, and writes one normalized record per company to the run's dataset. Each record carries the company number, name, status, type, incorporation date, registered address, SIC codes, previous names, and the full set of accounts and confirmation-statement due dates with overdue flags. Turn on withOfficers to enrich each company with its officers (directors and secretaries: role, appointment and resignation dates, nationality, country of residence and correspondence address). Turn on withPsc for persons with significant control (beneficial owners) and withFilingHistory for recent filings. Missing values are returned as null, and each record carries an observedAt timestamp.

Quickstart

Open the actor, paste this into the input, and press Run. It searches the register for "google" and returns matches with their officers.

{
  "searchQuery": "google",
  "maxCompanies": 10,
  "withOfficers": true
}

To look up exact companies, pass companyNumbers: ["00445790"]. Add withPsc and withFilingHistory for beneficial owners and filings.

Input reference

Field	Type	Required	Default	Description
searchQuery	string	no	google	A company name or keyword to search the register. Leave empty if you provide companyNumbers.
companyNumbers	string[]	no	(empty)	One or more exact company numbers, for example 00445790, for a direct lookup.
maxCompanies	integer	no	10	Maximum companies to collect. Free Apify plans are capped at 10 per run.
withOfficers	boolean	no	true	Enrich each company with its officers (directors and secretaries), their role, appointment dates, nationality and address.
withPsc	boolean	no	false	Enrich each company with its persons with significant control (beneficial owners), including nature of control and notification date.
withFilingHistory	boolean	no	false	Enrich each company with recent filing history (date, filing type code and description).
enrichContacts	boolean	no	false	Optional paid add-on. For each result without an email, attempt to find a public business contact email and a contact person's name. Billed per attempt, plus an extra charge only when an email is found.
enrichContactsMax	integer	no	50	Cap how many results the add-on tries to enrich. Free Apify accounts are capped at 3.

Provide a searchQuery or one or more companyNumbers.

Output reference

One dataset item per company. Types: string, boolean, object[], or null when the source value is absent.

Field	Type	Description
companyNumber	string	Companies House number (unique per company).
companyName	string	Registered company name.
status	string	Company status, for example Active, Dissolved, Liquidation.
type	string	Company type, for example Public limited Company, Private limited Company.
incorporationDate	string	Incorporation date.
registeredAddress	string	Registered office address.
sicCodes	object[]	SIC codes with code and description.
previousNames	object[]	Previous company names, or null.
accountsNextDue	string	Date the next accounts are due.
nextAccountsMadeUpTo	string	Date the next accounts are made up to.
lastAccountsMadeUpTo	string	Date the last accounts were made up to.
accountsOverdue	boolean	Whether accounts are overdue, or null.
confirmationStatementNextDue	string	Date the next confirmation statement is due.
nextConfirmationStatementDate	string	Date the next confirmation statement covers.
lastConfirmationStatementDate	string	Date of the last confirmation statement.
confirmationStatementOverdue	boolean	Whether the confirmation statement is overdue, or null.
url	string	Company record URL on the register.
officers	object[]	Officers (directors, secretaries): name, role, status, appointedOn, resignedOn, dateOfBirth, nationality, countryOfResidence, occupation, correspondenceAddress. Populated when withOfficers is on.
personsWithSignificantControl	object[]	Beneficial owners with nature of control and notification date. Populated when withPsc is on.
filingHistory	object[]	Recent filings (date, type code, description). Populated when withFilingHistory is on.
source	string	Data source label.
observedAt	string	ISO 8601 timestamp of when the record was collected.
error	string	Present only on a failed lookup: an item with a populated error field is written instead.
enrichedEmail	string	Add-on only: public contact email found, or null.
enrichedContactName	string	Add-on only: contact person's name, or null.
enrichedJobTitle	string	Add-on only: contact person's job title, or null.
enrichedEmailStatus	string	Add-on only: verification status of the found email.
enrichedSource	string	Add-on only: where the email was found.
enrichedConfidence	number	Add-on only: confidence score for the found email.

The officers, personsWithSignificantControl and filingHistory arrays are empty unless their respective add-on toggle is on. The enriched* fields are populated only when enrichContacts is enabled.

Example output record

Real record from a live run (input {"companyNumbers": ["00445790"], "withOfficers": true}), with the officer list trimmed to two of the 35 returned:

{
  "companyNumber": "00445790",
  "companyName": "TESCO PLC",
  "status": "Active",
  "type": "Public limited Company",
  "incorporationDate": "27 November 1947",
  "registeredAddress": "Tesco House, Shire Park, Kestrel Way, Welwyn Garden City, United Kingdom, AL7 1GA",
  "sicCodes": [{ "code": "47110", "description": "Retail sale in non-specialised stores with food, beverages or tobacco predominating" }],
  "lastAccountsMadeUpTo": "28 February 2026",
  "accountsNextDue": "26 August 2027",
  "confirmationStatementNextDue": "2 July 2027",
  "url": "https://find-and-update.company-information.service.gov.uk/company/00445790",
  "officers": [
    { "name": "TAYLOR, Christopher Jon", "role": "Secretary", "status": "Active", "appointedOn": "14 April 2025", "resignedOn": null, "nationality": null, "correspondenceAddress": "Tesco House, Shire Park, Kestrel Way, Welwyn Garden City, United Kingdom, AL7 1GA" },
    { "name": "BETHELL, Melissa", "role": "Director", "status": "Active", "appointedOn": "24 September 2018", "resignedOn": null, "dateOfBirth": "September 1974", "nationality": "British", "countryOfResidence": "United Kingdom", "correspondenceAddress": "Tesco House, Shire Park, Kestrel Way, Welwyn Garden City, United Kingdom, AL7 1GA" }
  ],
  "source": "UK Companies House",
  "observedAt": "2026-08-10T14:35:24.827Z"
}

All values are real and unmodified; only the officer array is shortened here for length.

Run via API and CLI

Start a run and wait for it to finish, then read the dataset. Replace <TOKEN> with your Apify API token.

Run synchronously and get dataset items in one call:

curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~uk-companies-house-scraper/run-sync-get-dataset-items?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"searchQuery":"acme trading","maxCompanies":25,"withOfficers":true}'

Start a run asynchronously:

curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~uk-companies-house-scraper/runs?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"companyNumbers":["00445790","03977902"],"withPsc":true,"withFilingHistory":true}'

Apify CLI:

apify call scrapers_lat/uk-companies-house-scraper \
  --input '{"companyNumbers":["00445790"],"withOfficers":true}'

Fetch results

Every run writes to a dataset. Fetch items as JSON, CSV, or Excel by changing format:

# JSON
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&clean=true&format=json"

# CSV
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&clean=true&format=csv"

# Paginate large datasets
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&offset=1000&limit=1000"

<DATASET_ID> is returned as defaultDatasetId in the run object. Use offset and limit to page through large result sets. clean=true drops empty and internal fields.

Billing and limits

• Pay per result. You are charged per company record returned (result event). See the pricing tab for the current per-result price.
• Contact enrichment add-on. When enrichContacts is on, you are billed per enrichment attempt, plus an extra charge only when an email is found. It is off by default.
• No charge on failure. If a lookup errors, the actor writes an item with a populated error field and does not charge for it. Empty runs cost nothing.
• Spend cap respected. Set maxTotalChargeUsd on the run; once reached, the actor stops emitting and charging further billable results.
• Free Apify plans are capped at 10 records per run, and the enrichment add-on at 3 attempts. Upgrade for higher limits.

FAQ and troubleshooting

A run returned 0 records. Why? The keyword matched no company, or the company numbers do not exist. Check the spelling or the exact number. Zero-result runs are not charged.

How do I get directors and shareholders? Turn on withOfficers for directors and secretaries, and withPsc for persons with significant control (beneficial owners). Both add depth to each company record.

Why are officers or PSC empty? The corresponding toggle (withOfficers, withPsc, withFilingHistory) is off, or the company has none on file. Missing values are returned as empty arrays or null, never invented.

Can I look up several companies at once? Yes. Pass an array of exact numbers in companyNumbers.

Is this an official Companies House tool? No. This actor is independent and has no affiliation with Companies House. It reads only data that is publicly available on the register. Use the results in accordance with the source's terms.

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• GLEIF LEI Company Records Scraper: legal entity identifiers worldwide.
• Belgium KBO Companies Scraper: Belgian company registry records.

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Independent tool, not affiliated with Companies House. Accesses only publicly available register data. Use in accordance with the source's terms.