UK Companies House New Company Filings Scraper

What does UK Companies House New Company Filings Scraper do?

UK Companies House New Company Filings Scraper reads the UK Companies House register and returns one row per newly incorporated or dissolved company: number, name, status, type, dates, registered office and SIC codes. It is built for a schedule. The Actor remembers what it already sent, so each run emits only companies that are new or whose register status changed. For a company you already know, paste its number into companyNumbers and it comes back as one detailed row. There is no login, no API key and no browser: the register's pages are server-rendered and read over plain HTTP.

On the default input (7 days back, cap of 100 rows) a live run returned 100 companies in about a minute. Every row carries the register page it was read from, and each returned row costs $0.004.

Who uses UK Companies House New Company Filings Scraper

Who	What they run it for
Accountants taking on new clients	A weekly feed of newly incorporated companies, with SIC codes to pick the ones that fit
Insurance brokers	New employers the week they register, in time to quote the compulsory cover every UK employer must carry
Banks and onboarding teams	A counterparty's registration date and live register status, straight from the source
B2B sellers to brand-new businesses	Leads from the register itself, weeks before scraped databases carry them

Features

• A feed, not a snapshot. The Actor remembers each company it emits for 31 days. A scheduled run returns only new or status-changed rows, never the same list twice.
• Two windows per run. Every run reads the register's advanced search twice: companies incorporated in the last daysBack days, and companies dissolved in them.
• Your own filters as URLs. Paste a Companies House advanced-search results URL into startUrls and the run reads that list instead, tagged matched_filter.
• One company by number. companyNumbers takes register numbers or company page URLs and returns one detailed row each, tagged lookup: a number the register does not know comes back as an uncharged not_found row.
• SIC code and text filter. searchQueries matches a code prefix like 43 or words in the description like restaurant.
• Opt-in officers, PSC and filing reads. includeOfficers, includePsc and includeFilings add one register tab read per company and fill the matching fields.
• Dissolutions first under a cap. When maxItems cuts a run short, status changes and dissolutions come back before the long incorporation list.
• Proxy support. proxyConfiguration sends every register read through your Apify proxy setup.
• Polite, bounded reads. One request at a time with a pause between them. A 429 or server error is retried with backoff, and a refusal stops the run.
• The register's own URLs. Every link a row carries points at Companies House, so each value checks back to the source page.

What you can count on

• You pay only for rows whose row_status reads ok. A per-item miss is pushed as an uncharged ITEM_STATUS row, so you see the verdict and are never billed for it.
• A row is charged only after it is written to your dataset. A row you cannot see is never billed.
• A run that finds nothing returns one PROFILE_NOT_FOUND row that says so. You never get a silent empty dataset.
• A spending limit stops the run cleanly. One STOPPED_EARLY row reports how many rows were returned and how many were not.
• Every run writes a RUN_SUMMARY entry with rowsFetched, rowsPushed, rowsCharged and duplicatesDropped. A short run and a broken one are easy to tell apart.
• If the register changes its pages, the run fails with the error in the log. It never returns rows full of nulls and calls it success.
• No value is invented. A field the register does not show is null, and the always-empty ones are named below.

What data does UK Companies House New Company Filings Scraper return?

One real row from a live run:

{
  "company_number": "17452936",
  "register_page_url": "https://find-and-update.company-information.service.gov.uk/company/17452936",
  "company_name": "CPG RETENTION HOLDING LIMITED",
  "row_status": "ok",
  "event": "newly_registered",
  "registrar": "Companies House",
  "jurisdiction": "England and Wales",
  "company_status": "Active",
  "company_type": "Private Limited Company",
  "country_of_origin": "United Kingdom",
  "incorporation_date": "2026-09-11",
  "dissolution_date": null,
  "registered_office_address": {
    "AddressLine1": "2 LEMAN STREET",
    "PostTown": "LONDON",
    "Country": "UNITED KINGDOM",
    "Postcode": "E1W 9US"
  },
  "address_line_1": "2 LEMAN STREET",
  "city": "LONDON",
  "postcode": "E1W 9US",
  "country": "UNITED KINGDOM",
  "accounts_due": "2028-06-11",
  "confirmation_statement_due": "2027-09-24",
  "sic_codes": {
    "SicText": [
      "64209 - Activities of other holding companies not elsewhere classified"
    ]
  },
  "register_urls": [
    "https://find-and-update.company-information.service.gov.uk/company/17452936",
    "https://data.companieshouse.gov.uk/doc/company/17452936.json"
  ],
  "filing_history_url": "https://find-and-update.company-information.service.gov.uk/company/17452936/filing-history",
  "first_director": null,
  "officers": null,
  "persons_with_significant_control": null,
  "latest_filing": null,
  "search_metadata": {
    "query": "https://find-and-update.company-information.service.gov.uk/advanced-search/get-results?incorporationFromDay=10&incorporationFromMonth=9&incorporationFromYear=2026&incorporationToDay=17&incorporationToMonth=9&incorporationToYear=2026",
    "event": "newly_registered"
  },
  "row_type": "ROW"
}

Every data row carries the same full field set. The opt-in fields fill only when you turn on the matching input flag; the rest are read on every run.

Field	What it is
row_status	The row's own verdict: ok on a data row. The register's verdict on the company lives in company_status.
event	Why the company is in this run: newly_registered, dissolved, registered_and_dissolved, matched_filter or lookup (a company you named by number).
company_name	The registered name, as the register prints it.
company_number	The Companies House company number. Rows are de-duplicated on it, inside the run and across runs.
registrar	The register the company sits on: Companies House on every row.
jurisdiction	Registration jurisdiction from the number prefix: England and Wales, Scotland, Northern Ireland, an overseas company or a Societas Europaea.
company_status	The register's live status, such as Active or Dissolved.
company_type	The register's company category, such as Private Limited Company.
country_of_origin	The register's country of origin: United Kingdom on the captured rows.
incorporation_date	Incorporation date as ISO YYYY-MM-DD.
dissolution_date	Dissolution date as ISO YYYY-MM-DD; null unless the register marks the company dissolved.
registered_office_address	The register's address object: address lines, post town, county, country and postcode.
address_line_1	First line of the registered office address. On a company at the register's default address this is the register's own Companies House Default Address line, verbatim.
city	The registered office post town.
postcode	The registered office postcode.
country	The registered office country line; null on a Companies House default address.
accounts_due	Next accounts due date, ISO. null on dissolved rows.
confirmation_statement_due	Next confirmation statement due date, ISO. null on dissolved rows.
sic_codes	The register's SIC codes object: a SicText list of code - description lines.
register_page_url	The company's overview URL on the register. The register does not publish the company's own site.
register_urls	Both register URLs for the company: the overview page and its structured data document.
filing_history_url	URL of the company's filing-history page on the register.
first_director	Opt-in. null until includeOfficers is on: the first officer with a director role who has not resigned.
officers	Opt-in. null until includeOfficers is on: every officers-tab appointment, with name, role, appointed and resigned dates and status.
persons_with_significant_control	Opt-in. null until includePsc is on: PSC tab entries, with name, notified-on date, natures of control and status.
latest_filing	Opt-in. null until includeFilings is on: the newest filing's date, type and description, never the document itself.
search_metadata	Which register read produced the row: the exact results URL, or the company page on a lookup row, and its event tag.
row_type	ROW on a data row. Status rows carry ITEM_STATUS, PROFILE_NOT_FOUND or STOPPED_EARLY.

The opt-in fields first_director, officers, persons_with_significant_control and latest_filing are null on a default run and fill only when their flag is on, verified on live rows. dissolution_date is null on every active company by design. The Console's Overview tab shows the fields this source fills; All fields and every export carry the whole set, so the empty columns stay visible where you want them.

Status rows carry fields of their own:

Field	What it is
reason	On a status row only: why no data rows came back, or why the run stopped early.
rowsFetched	On a status row only: how many rows the source handed over before de-duplication and the cap.
rowsReturned	On a status row only: how many data rows are in the dataset (0 on a zero result).
rowsRemaining	On a status row only: how many fetched rows were not returned.

How much does it cost?

The price is $0.004 per company row written to your dataset, charged as one company-returned event per row.

Rows in the run	Charged events	Cost
100	100	$0.40
1,000	1,000	$4.00
10,000	10,000	$40.00

Not charged: PROFILE_NOT_FOUND, STOPPED_EARLY and ITEM_STATUS status rows, duplicates dropped inside the run, and companies the feed already sent you, which are never returned. Apify also bills its standard apify-actor-start charge at $0.00005 per start event, one event per GB of run memory with a minimum of one; at this Actor's 512 MB default that is one event per run. This Actor adds nothing on top of it.

Because a scheduled run emits only what is new, a quiet week costs little and a week with no new filings charges nothing beyond the start.

How do I use UK Companies House New Company Filings Scraper?

1. Open the Actor page and press Start. The default input needs nothing: no keys, no URLs, no setup.
2. Rows land in the dataset as they are read. Export them as JSON, CSV or Excel, or pull them through the API.
3. Put the Actor on a daily or weekly Apify schedule. The built-in memory keeps each run to what is new.

The default input needs nothing changed. It looks like this:

{
  "daysBack": 7,
  "maxItems": 100,
  "includeOfficers": false,
  "includePsc": false,
  "includeFilings": false
}

To filter the feed to the trades you serve, add searchQueries and switch on any tab reads you need:

{
  "daysBack": 7,
  "maxItems": 100,
  "searchQueries": ["43", "restaurant"],
  "includeOfficers": true
}

Or feed it a filtered results page straight from the register's advanced search:

{
  "startUrls": [
    { "url": "https://find-and-update.company-information.service.gov.uk/advanced-search/get-results?incorporationFromDay=8&incorporationFromMonth=9&incorporationFromYear=2026&incorporationToDay=15&incorporationToMonth=9&incorporationToYear=2026" }
  ]
}

Or name the companies directly; each comes back as one detailed row:

{
  "companyNumbers": ["00000006", "SC327447"]
}

Through the API:

curl -X POST "https://api.apify.com/v2/acts/Pradio~new-company-filings/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN>" -H "Content-Type: application/json" -d "{\"daysBack\": 7, \"maxItems\": 100}"

Input

Input	Default	What it does
daysBack	7	How many days back the incorporation and dissolution windows reach.
maxItems	100	The most company rows one run returns.
startUrls	empty	Pasted advanced-search results URLs replace the built-in windows.
companyNumbers	empty	Company numbers or company page URLs; each returns one detailed row. When this is the only input given, no window or search is read.
maxItemsPerStartUrl	none	Caps how many companies each pasted startUrls entry may contribute, so one long list cannot spend the whole maxItems budget.
searchQueries	empty	SIC code prefix or text filter applied to the returned companies.
includeOfficers	false	Also read each company's officers tab; fills officers and first_director.
includePsc	false	Also read each company's PSC tab; fills persons_with_significant_control.
includeFilings	false	Also read each company's filing history; fills latest_filing.
proxyConfiguration	none	Send every register read through an Apify proxy.

startUrls

Only one kind of link works here: a results URL from the register's own advanced search. Set your filters on the Companies House site, copy the address bar on the results page and paste it in. Anything else fails the run fast with a message naming the refused URL. Rows from a pasted search are tagged matched_filter in event.

Each pasted URL is read as its own list. With several pasted, set maxItemsPerStartUrl to give every entry its own bound instead of letting the longest list spend the shared maxItems budget first.

companyNumbers

For a company you already know, give its register number, 00000006, or paste its company page URL. Each entry comes back as one detailed row tagged lookup in event: the same fields a feed row carries, including the opt-in tabs when their flags are on. A number the register has no company under comes back as an uncharged not_found row with the reason. A named company is emitted every time you ask for it (the run-to-run memory only dedupes the feed), and a number that also turns up in a pasted search keeps its lookup tag.

searchQueries

Each entry is matched against the company's SIC lines. A prefix matches codes, so 43 keeps 43220 - Plumbing, heat and air-conditioning installation. Plain text matches the description, so restaurant keeps 56101 - Licensed restaurants. Companies with no SIC match are dropped before output.

The include flags

Each flag adds one register read per company, so all three together send four reads per company instead of one. That is why they default to off. A failed tab read leaves the matching fields null on that row instead of failing the run.

Output

A run pushes data rows with row_type: "ROW" plus, when something needs saying, one status row. Everything lands in the default dataset.

• ROW: a company the run emitted. Charged after it is pushed.
• ITEM_STATUS: a per-item miss, pushed so you see the verdict: a company number the register does not know comes back with row_status: "not_found". Never charged.
• PROFILE_NOT_FOUND: the register answered and nothing matched. One row, not charged, and reason says why.
• STOPPED_EARLY: your charge limit ended the run. One row, not charged, carrying rowsReturned and rowsRemaining.

A zero result is an answer, not a failure: the run pushes one PROFILE_NOT_FOUND row and charges nothing. On a schedule it usually means the feed already sent everything the window held.

RUN_SUMMARY in the default key-value store carries rowsFetched, rowsPushed, rowsCharged and duplicatesDropped for every run.

What can you do with the data?

An accountant sets a Monday-morning schedule with searchQueries for the trades the firm serves. Every company incorporated in the last 7 days arrives with its SIC codes, registered office and incorporation date, ready for a welcome letter.

An insurance broker watches the same feed for new employers. A company that just registered is close to needing the compulsory cover every UK employer must carry, and the register row is the earliest reliable signal.

An onboarding team pastes the register's own filtered search URL as startUrls and gets a deduplicated list of counterparties with live status and registration dates for KYC checks.

A data team runs the feed daily and watches the dissolved and registered_and_dissolved rows: companies leaving the register the week it happens, not after the next database refresh.

Use UK Companies House New Company Filings Scraper with AI agents

Paste this line to give an MCP-capable agent this Actor:

claude mcp add --transport http apify "https://mcp.apify.com?tools=Pradio/new-company-filings"

The agent can then read the input schema, start runs and pull the dataset on its own.

Personal data

Some rows name people. officers, persons_with_significant_control and first_director carry a person's name in their business capacity only: role, appointment or notification dates and status. No filing documents, PDFs or statement text are ever reproduced.

• Transparency. Every value comes from the Companies House register, which publishes this data under statutory obligation. Each row's register_page_url points back to the register page it was read from.
• Controller. Companies House controls the register's own publication. For the rows you export you are the controller, so keep a defined purpose and honour the obligations that come with one.
• Minimum. Turn the officer and PSC flags on only when you need them. Each one adds named people to every row.
• Removal. A person named in a row can ask for deletion or correction through this Actor's Issues tab on the Apify Store, and the request is honoured. Companies House also runs its own suppression process for the register itself.
• Terms. Companies House's terms do not prohibit reading the register this way, but permission is not explicit either. Reads stay per company and sequential, the run stops on any refusal, and no bulk copy of the register is made.

Release notes

• 0.1: first public build, with the incorporation and dissolution windows, the run-to-run diff, the SIC filter, direct company-number lookup and the three opt-in tab reads.

Limits

• It reads the register's own lists and the company numbers you name. A company outside the window, outside your pasted filters and not in companyNumbers is not fetched: there is no free-text name search.
• No contact details. The register does not publish a company's own website, email or phone. register_page_url and register_urls are the register's URLs for the company, not the company's site.
• No filing documents. latest_filing carries the filing's date, type and description and nothing more, by design.
• Officers, PSC and filing tabs cost one extra read per company each. All three flags on a big window mean a long run.
• One search tops out at 10,000 companies before the register's own list ends. A window wider than that is cut there.
• Memory lasts 31 days. A company that appears again after that is emitted once more, which is correct for a filings feed: a second appearance is a new event.
• registrar is always Companies House, and country_of_origin read United Kingdom on all 100 captured rows. One register means little variety.
• Errors run toward failing. A refused or changed page fails the run with the error in the log instead of emitting rows of nulls.

Troubleshooting

My scheduled run returned far fewer rows than maxItems. The feed already sent the rest, or the SIC filter dropped them. The log line "companies in scope, new or status-changed, emitted" says which, and RUN_SUMMARY carries the counts.

I got one PROFILE_NOT_FOUND row and nothing else. That is an answer, not an error: the register answered and nothing new matched. It is not charged. On a second run over the same window it usually means the first run already sent everything.

officers, persons_with_significant_control and latest_filing are all null. They fill only when the matching input flag is on. Set includeOfficers, includePsc or includeFilings and re-run.

The run failed with a "refused" error. Companies House declined a read. The Actor stops rather than scrape through a block; wait and re-run, or set proxyConfiguration. A pasted startUrls link that is not an advanced-search results URL also fails the run, with the refused URL in the message.

Something still off? Open an issue on this Actor's Issues tab on the Apify Store.

FAQ

Can I use integrations with UK Companies House New Company Filings Scraper? Yes. The dataset plugs into Apify integrations such as Make, Zapier and webhooks, and an Apify schedule is the natural way to run it. A weekly schedule turns this Actor into a standing new-companies feed.

Can I use UK Companies House New Company Filings Scraper with the Apify API? Yes. Start runs, read the dataset and manage schedules over the API. The curl line under "How do I use" is a working example; swap in your token and your input.

Can I use UK Companies House New Company Filings Scraper through an MCP server? Yes. The command under "Use UK Companies House New Company Filings Scraper with AI agents" adds it to an MCP client, after which an agent can call it like any other tool.

Is it legal to scrape Companies House? The register is public and published under statutory obligation. Its terms do not prohibit reading it this way, though permission is not explicit either. Rows carry register facts only, and the Personal data section covers the people named in them.

Not affiliated

This Actor is not affiliated with, associated with, endorsed by or sponsored by Companies House or the UK government. It reads public pages of the UK company register and returns what they show.