UK Companies House Scraper: Company Lists | $1/1K avatar

UK Companies House Scraper: Company Lists | $1/1K

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from $1.00 / 1,000 results

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UK Companies House Scraper: Company Lists | $1/1K

UK Companies House Scraper: Company Lists | $1/1K

UK companies from the Companies House free monthly file: company number, name, status, type, address, SIC codes, accounts dates, charges. Filter by SIC, postcode, town, age and name. $1 per 1,000 results, platform usage included.

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from $1.00 / 1,000 results

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One Dollar Store

One Dollar Store

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UK Companies House Scraper: company lists by SIC code, postcode, age and status

$1 per 1,000 companies. Platform usage included. No rental, no minimum.

UK Companies House Scraper builds company lists from the free Companies House company data file, the monthly snapshot of every live company on the UK register (about 5.7 million). Each row has up to 50 fields: company number, name, status, type, incorporation date, a split registered office address, SIC codes with names, accounts and confirmation statement dates, charges and previous names. You filter by SIC code, postcode area, town, status, company type, incorporation date, name and accounts category, so one run produces a ready lead list.

The four most used Companies House actors on Apify Store charge $1.50 to $50.00 per 1,000 results (Store prices checked 27 October 2026). This actor returns UK company records for $1.

Open it in Apify Console

New to Apify? [Create a free account](https://www.apify.com?fpr=ymnoit) (referral link). Runs from a free plan account return the first 10 results; any paid plan returns everything you ask for, up to your limit.

How much does UK Companies House Scraper cost?

CompaniesThis actorMost used Companies House actors on the Store
1,000$1.00$1.50 to $50.00
10,000$10.00$15 to $500
100,000$100.00$150 to $5,000

Plus $0.001 per run. A monthly pull of 3,000 new software companies costs about $3 a month.

Why use it

  • One flat price. The bill follows the number of companies and nothing else. Compute is included.
  • Filters that build a lead list. SIC codes (a full code or a short start such as 62), postcode areas and districts, towns, status, company type, incorporation date range or "last N days", name words, accounts category, accounts overdue and outstanding charges.
  • Wide, clean rows. Dates are ISO, the address is split into street, town, county, postcode, postcode area and country code, SIC codes come with their names and an industry section, and companiesHouseUrl links every row to the register page for officers and filings.
  • Fast on narrow filters. The 494 MB file is searched as text for your most selective filter, so only the matching lines are parsed. A 50 company run took about 2 seconds, and reading the whole file for a filter that matches nothing took about 100 seconds.
  • Official open data. The file is published by Companies House under the Open Government Licence v3.0. No key, no login, no scraping of web pages.

How to use UK Companies House Scraper

  1. Open the actor, adjust the filters, press Start.
  2. Or paste this input (software and IT companies in central London, active only):
{ "sicCodes": ["62012", "62020"], "postcodes": ["EC", "WC"], "statuses": ["Active"], "maxItems": 500 }
  1. Download the results as JSON, CSV or Excel, or read them through the API.

For a list of newly formed companies:

{ "incorporatedWithinDays": 30, "sicCodes": ["62", "70229"], "maxItems": 1000 }

The file is a snapshot dated the first of the month, so "the last 30 days" ends on the file date.

Use it from code

curl -X POST "https://api.apify.com/v2/acts/one_dollar_store~uk-company-register-bulk-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"sicCodes": ["62012"], "postcodes": ["EC"], "maxItems": 100}'
from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("one_dollar_store/uk-company-register-bulk-scraper").call(
run_input={"sicCodes": ["62012", "62020"], "postcodes": ["EC", "WC"], "statuses": ["Active"], "maxItems": 500}
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item["companyNumber"], item["name"], item["postalCode"], item.get("primarySicDescription"))

Use it from an AI assistant

Claude, ChatGPT, Cursor and other assistants can call this actor through Apify's MCP server. Add it with this server address:

https://mcp.apify.com?tools=one_dollar_store/uk-company-register-bulk-scraper

Then ask, for example: "List 200 active UK companies in SIC 62012 with a Manchester postcode that were formed in the last two years."

Switching from another Companies House actor

Most Companies House actors take a company number or a name to look up. This one takes filters and returns many companies per run: sicCodes, postcodes, towns, statuses, companyTypes, incorporatedFrom, incorporatedTo, nameContains and maxItems. The core fields are companyNumber, name, status, companyType, incorporationDate, registeredAddress, sicCodes and companiesHouseUrl. It does not return officers, persons with significant control or filing documents, because the free file does not hold them.

Input

Every filter you fill in must match. A filter you leave empty is ignored. The default status filter is Active.

FieldTypeDefaultWhat it does
sicCodeslistnoneSIC 2007 codes. A full five digit code (62012) or a start (62, 6201). A code that does not exist in the file matches nothing and is reported.
sicMatchtextanyany looks at all four SIC codes of a company, primary only at the first.
postcodeslistnonePostcode areas (EC, M) or districts (EC1V, SW1A). SW1 covers SW1A but not SW10.
towns, countieslistnonePost town or county of the registered office, in any capitals.
statuseslistActiveExact register statuses such as Active, Active - Proposal to Strike off or Liquidation. Clear the list for all.
companyTypeslistnoneCompany types such as Private Limited Company, Limited Liability Partnership or Community Interest Company.
incorporatedFrom, incorporatedTotextnoneIncorporation date range, YYYY-MM-DD.
incorporatedWithinDaysnumbernoneCompanies formed in the last N days (up to the file date).
nameContains, nameExcludeslistnoneKeep names with any of these words, or drop names that have any.
accountsCategorieslistnoneType of the last accounts: MICRO ENTITY, DORMANT, FULL, SMALL and others.
accountsOverduetextanyyes keeps active companies whose next accounts date is before the file date.
outstandingChargestextanyyes keeps companies with a charge (mortgage) still outstanding, no the others.
maxItemsnumber100Stop after this many companies (10 to 100,000).

Example, active micro entities with a Leeds postcode and an outstanding charge:

{
"postcodes": ["LS"],
"accountsCategories": ["MICRO ENTITY"],
"outstandingCharges": "yes",
"maxItems": 1000
}

What data does UK Companies House Scraper return?

FieldMeaning
companyNumber, companyNumberPrefixThe register number and its letter prefix (SC Scotland, NI Northern Ireland, OC or SO limited liability partnership, LP limited partnership). Plain numbers have no prefix.
name, previousName, previousNameChangedOn, previousNames, previousNameCountRegistered name and up to ten earlier names with the date each was dropped.
status, isActive, proposedStrikeOffRegister status text and two flags worked out from it.
companyType, countryOfOriginCompany category and country of formation as the file writes them.
incorporationDate, companyAgeYears, dissolutionDateDates as YYYY-MM-DD and the age in whole years on the day of the run.
careOf, poBox, addressLine1, addressLine2, city, county, country, countryCode, postalCodeRegistered office address, split into parts. countryCode is the two letter ISO code.
postcodeArea, postcodeDistrict, registeredAddressThe leading letters of the postcode, the outward code, and the whole address on one line.
primarySicCode, primarySicDescription, sicCodes, sicDescriptionsThe main SIC code and its name, and all codes (up to four).
industrySection, industrySectionNameSIC 2007 section letter A to U and its name, for example J Information and communication.
accountsCategory, accountsRefDay, accountsRefMonth, accountsNextDueDate, accountsLastMadeUpDate, accountsOverdueType of the last accounts, the year end, the dates and an overdue flag against the file date.
confirmationStatementNextDueDate, confirmationStatementLastMadeUpDate, confirmationStatementOverdueConfirmation statement dates and an overdue flag against the file date.
returnsNextDueDate, returnsLastMadeUpDateDates of the old annual return, mostly empty for newer companies.
chargesTotal, chargesOutstanding, chargesPartSatisfied, chargesSatisfied, hasOutstandingChargesNumber of registered charges (mortgages) and how many are still outstanding.
generalPartners, limitedPartnersPartner counts, only for limited partnerships and Scottish partnerships.
companiesHouseUrl, dataUriLink to the company page on the Companies House service, and the open data identifier.
sourceFile, fileDate, scrapedAtThe part file the row came from, the date of the snapshot and the collection time.

Sample results

Real rows from test runs on 27 October 2026. Some fields are left out here to keep the page short.

[
{"companyNumber": "11168742", "name": "'ENG PA' LIMITED", "status": "Active", "companyType": "Private Limited Company", "incorporationDate": "2018-01-25", "companyAgeYears": 8, "registeredAddress": "C/O JOHNSTON CARMICHAEL BIRCHIN COURT, 20 BIRCHIN LANE, LONDON, EC3V 9DU, ENGLAND", "postcodeArea": "EC", "primarySicCode": "62012", "primarySicDescription": "Business and domestic software development", "accountsCategory": "TOTAL EXEMPTION FULL", "accountsNextDueDate": "2027-10-31", "chargesTotal": 0, "chargesOutstanding": 0, "fileDate": "2026-10-01"},
{"companyNumber": "SC288561", "name": "A SURED LTD", "status": "Active", "companyType": "Private Limited Company", "incorporationDate": "2005-08-08", "companyAgeYears": 21, "registeredAddress": "18 NORTH SILVER STREET, ABERDEEN, AB10 1JU, SCOTLAND", "postcodeArea": "AB", "primarySicCode": "68209", "primarySicDescription": "Other letting and operating of own or leased real estate", "accountsCategory": "TOTAL EXEMPTION FULL", "accountsNextDueDate": "2026-12-31", "chargesTotal": 12, "chargesOutstanding": 11, "fileDate": "2026-10-01", "previousName": "ASSURANCE HOMES LIMITED", "previousNameChangedOn": "2026-07-21", "companyNumberPrefix": "SC"},
{"companyNumber": "SO300397", "name": ".....1ST CALL LOCKSMITHS (EDINBURGH) LLP", "status": "Active", "companyType": "Limited Liability Partnership", "incorporationDate": "2004-06-22", "companyAgeYears": 22, "registeredAddress": "19 BRUNSTANE GARDENS, PENICUIK, MIDLOTHIAN, EH26 9AA", "postcodeArea": "EH", "accountsCategory": "TOTAL EXEMPTION FULL", "accountsNextDueDate": "2028-01-05", "chargesTotal": 0, "chargesOutstanding": 0, "fileDate": "2026-10-01", "companyNumberPrefix": "SO"},
{"companyNumber": "17483976", "name": "2 TO 1 POWERLIFTING LTD", "status": "Active", "companyType": "Private Limited Company", "incorporationDate": "2026-09-27", "companyAgeYears": 0, "registeredAddress": "81A ADELAIDE GROVE, LONDON, W12 0JX, UNITED KINGDOM", "postcodeArea": "W", "primarySicCode": "62012", "primarySicDescription": "Business and domestic software development", "accountsCategory": "NO ACCOUNTS FILED", "accountsNextDueDate": "2028-06-27", "chargesTotal": 0, "chargesOutstanding": 0, "fileDate": "2026-10-01"}
]

Limits

  • Live companies only. The Companies House file lists companies that are on the register today: Active (about 5.17 million), Active with a proposal to strike off (about 423,000), in liquidation (about 108,000) and a few thousand in administration or receivership. Dissolved companies are not in the file.
  • No contact details. The file has no email, phone number or website, and no officers, persons with significant control, filings or financial figures. It gives the type of the last accounts and the dates, not the numbers. Use companiesHouseUrl to open the register page for a company.
  • A monthly snapshot. Companies House publishes the file within five working days of the end of each month. The actor reads the current file named on the download page, so a new month needs nothing from you. fileDate on every row says which snapshot it is.
  • File order. Rows come in the order of the file, which is alphabetical by company name. With a small maxItems you get the first matches in that order, not a random sample.
  • Narrow filters read the whole file. A filter that matches few companies makes the actor read all 494 MB (about 100 seconds). A filter that matches many stops early. Asking for 5,000 companies with a filter spread over the whole file took about 2.5 minutes.
  • Overdue flags compare the due date with the file date. A company may have filed since then.
  • Addresses are written as the register holds them, mostly in capitals. The country is empty for about one company in six; countryCode is then taken from the postcode.
  • Company level data only. Registered office addresses are public, but a few belong to a director's home. The file holds no officer names, and the actor adds none.
  • One record in the file is split over two lines by the publisher and is skipped.
  • Runs from a free Apify plan return the first 10 results.

FAQ

What is the cheapest Companies House scraper on Apify? This actor costs $1 per 1,000 companies with platform usage included. The most used Companies House actors on the Store charged $1.50 to $50.00 per 1,000 when we checked on 27 October 2026.

How much does it cost to get 10,000 UK companies? $10, plus $0.001 for each run.

Do I pay for compute or proxy on top? No. The price covers platform usage. The data comes from the Companies House download site, so no proxy is used.

Where does the data come from, and how fresh is it? From the free company data product on download.companieshouse.gov.uk. It is a snapshot published once a month, and the run in this README used the file dated 1 October 2026. Every row carries fileDate.

Why are dissolved companies missing? The free file only lists live companies. Companies House does not publish dissolved ones in this product.

Can I get emails, phone numbers or director names? No. The file does not hold them. For officers and filings, use the Companies House website or its official API, which needs a free key.

Is it legal? Yes. Companies House publishes this file for anyone to download free of charge under the Open Government Licence v3.0, which allows commercial use. Contains public sector information licensed under the Open Government Licence v3.0. The download site's robots.txt has no restrictions. The file is company data, but registered office addresses can be a person's home, so follow UK GDPR and the rules on marketing (PECR) when you contact anyone.

Is this an official Companies House product? No. It is an independent actor that reads the free public data file. Companies House does not support or endorse it.

Do I need an Apify account? Yes. Actors run from an Apify account, and a free account is enough to start: it includes $5 of platform usage every month. You can sign up here. This is a referral link and it costs you nothing.

Is there a limit on the free plan? Yes. A run started from a free plan account delivers the first 10 results, then ends with a message and a link to the plans. Any paid plan returns everything you ask for, up to your own limit. The price per result is the same on every plan.

Feedback and support

Found a problem or want a field added? Open an issue on the Issues tab of this actor and it gets read. If the actor saved you time, an honest rating on the Reviews tab helps other people find it.

More from The One Dollar Store

Every actor here costs $1 per 1,000 results, platform usage included. See the whole store: https://apify.com/one_dollar_store

Company records

Changelog

  • 27 October 2026: clearer description and headings, field details for AI tools. Price and output unchanged.
  • October 2026: first release.