UK New Company Leads Monitor — Companies House

Every company registered at Companies House, delivered daily, filtered to your industry and region — and you only pay for companies you haven't already been sent.

Around 3,000 companies are incorporated in the UK every working day. This Actor finds the ones that match your criteria, returns them as clean structured records, and remembers what it already gave you. Put it on a daily schedule and you get a lead feed that never repeats itself.

No Companies House API key required. Most alternatives make you register for one, or charge extra for skipping it. This Actor reads the public register directly.

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What you get

{
  "companyName": "ORCHID ONLINE LTD",
  "companyNumber": "17375859",
  "companyStatus": "active",
  "companyType": "ltd",
  "companySubtype": null,
  "incorporationDate": "2026-08-03",
  "registeredDate": "2026-08-03",
  "dissolutionDate": null,
  "removedDate": null,
  "daysSinceIncorporation": 14,
  "sicCodes": ["58290", "62012"],
  "sicDescriptions": [
    "Other software publishing",
    "Business and domestic software development"
  ],
  "primarySicCode": "58290",
  "primarySicDescription": "Other software publishing",
  "registeredOfficeAddress": "167-169 Great Portland Street London United Kingdom W1W 5PF",
  "postcode": "W1W 5PF",
  "companyUrl": "https://find-and-update.company-information.service.gov.uk/company/17375859",
  "scrapedAt": "2026-08-17T12:13:02.201Z"
}

Every SIC code arrives with its plain-English industry description from the official SIC 2007 list, so you can route leads by industry without maintaining your own lookup table. The postcode is split out of the address for territory assignment. Dates are ISO-8601. Missing values are null — never "N/A" or an empty string.

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Main use cases

• Daily lead generation. Accountants, company formation agents, business insurance brokers and banks selling to brand-new companies. A company incorporated this morning needs an accountant, a bank account and insurance.
• Territory-based prospecting. Filter by town, county or postcode area and give each salesperson their own feed.
• Industry watchlists. Track new entrants in your sector by SIC code.
• Competitor formation tracking. Watch for new companies whose names contain a brand or keyword.
• Market research. Measure formation rates by industry and region over time.
• CRM pipelines. Push straight into HubSpot, Pipedrive or a warehouse via the Apify API.

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Quick start

Run it with the defaults and you get yesterday's new software companies. Change or clear sicCodes for a different industry.

{
  "daysBack": 1,
  "sicCodes": ["62012"],
  "onlyNew": true,
  "maxRecords": 1000
}

Every new company in Greater Manchester, any industry:

{
  "daysBack": 1,
  "location": "Manchester",
  "onlyNew": true
}

A one-off historical pull for a specific window:

{
  "incorporatedFrom": "2026-07-01",
  "incorporatedTo": "2026-07-31",
  "sicCodes": ["43210", "43220"],
  "onlyNew": false,
  "maxRecords": 5000
}

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Input reference

Field	Type	Default	What it does
daysBack	integer	1	Days of incorporations to fetch, counting back from yesterday. Max 90.
sicCodes	array	—	UK SIC 2007 codes, 5 digits. Empty means every industry.
location	string	—	Matches anywhere in the registered office address.
nameIncludes	string	—	Only companies whose name contains this text.
nameExcludes	string	—	Skip companies whose name contains this text.
companyStatus	select	active	active, dissolved, open, closed, liquidation, administration.
companyType	string	—	One Companies House type, e.g. ltd, llp.
onlyNew	boolean	true	Skip companies returned by an earlier run.
maxRecords	integer	1000	Hard cap on companies returned and charged this run.
incorporatedFrom / incorporatedTo	string	—	Explicit YYYY-MM-DD range. Overrides daysBack.
stateStoreName	string	uk-company-leads-state	Named store holding the "already seen" list.

Why the default window is yesterday

Companies House publishes with a short lag, so companies incorporated today generally appear tomorrow. daysBack: 1 means "yesterday", which is the window that reliably contains data on a morning schedule. If a run returns nothing, widen daysBack to 2 or 3.

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Running it on a schedule

This is what the Actor is built for.

1. Open the Actor, set your filters, and save them as a Task.
2. On the Task, open Schedules and add a daily schedule — early morning UK time works well.
3. Leave onlyNew on.

Each run returns only companies that appeared since the last one. Add a webhook on the Task to push new leads straight into your CRM as they arrive.

How the memory works

The "already seen" list lives in a named Key-Value Store on your own account (stateStoreName), not in shared storage. Your history is yours, and it persists between runs.

The memory key is derived from your filter set, so two schedules with different filters keep independent histories inside the same store — a Manchester feed and a London feed will not suppress each other's leads. To reset a feed, point stateStoreName at a new name. Up to 50,000 company numbers are remembered per filter set; the oldest are dropped after that.

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Pricing

Event	Price	When it happens
Company lead	$0.002	One completed company record returned to you
Actor start	$0.001	Once per run

You are not charged for:

• companies you were already sent in an earlier run (with onlyNew on)
• failed requests, retries, or a Companies House outage
• rows the source returned malformed
• invalid input — the run fails before any billable work
• anything after the maximum charge you set for the run

Use maxRecords to put a ceiling on any single run, and Apify's per-run charge limit as a second backstop. When that limit is hit the Actor stops immediately rather than continuing to work unpaid.

Worked example. A daily schedule for one industry returning ~60 new companies a day costs about (60 × $0.002) + $0.001 = $0.121 per run, roughly $3.63/month.

How this compares

Actor	Price per company	Per run	API key needed
This Actor	$0.002	$0.001	No
memo23/companies-house-scraper	$0.005	$0.005	—
scrapesage/companies-house-scraper	$0.004	—	—
memo23/northdata-scraper	$0.0035	$0.00005	—
nexgendata/business-registration-lookup	$0.05	$0.0001	—

Prices are competitors' list prices as published on Apify Store on 2026-08-17 and can change at any time. Check the current figures before relying on this table.

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Using the API

Every run is available over the Apify API. Replace <TOKEN> with your Apify API token.

Run and wait for results:

curl -X POST "https://api.apify.com/v2/acts/technicaldost~uk-new-company-leads-monitor/run-sync-get-dataset-items?token=<TOKEN>" \
  -H 'Content-Type: application/json' \
  -d '{ "daysBack": 1, "sicCodes": ["62012"], "onlyNew": true }'

JavaScript:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });

const run = await client.actor('technicaldost/uk-new-company-leads-monitor').call({
    daysBack: 1,
    sicCodes: ['62012', '62020'],
    location: 'London',
    onlyNew: true,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
for (const company of items) {
    console.log(`${company.companyName} (${company.companyNumber}) — ${company.primarySicDescription}`);
}

Python:

from apify_client import ApifyClient

client = ApifyClient("<TOKEN>")

run = client.actor("technicaldost/uk-new-company-leads-monitor").call(run_input={
    "daysBack": 1,
    "sicCodes": ["62012"],
    "onlyNew": True,
})

for company in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(company["companyName"], company["companyNumber"], company["postcode"])

Get results as CSV, ready for a CRM import:

$curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?format=csv&view=crm&token=<TOKEN>"

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Limitations

Worth knowing before you buy:

• Companies House caps a single export at 5,000 rows. The Actor fetches one day at a time to stay under that, and a normal UK day is ~3,000 companies. If you filter to a single busy day with no other filters and see a warning about the export cap, add a SIC code or location filter.
• Maximum 90 days per run. Split larger backfills across several runs.
• No officer or director details. This Actor covers the register's company-level search. For officers, PSC/beneficial ownership and filing history, use UK Companies House Intelligence (below).
• Publication lag. Companies appear on the register a short time after incorporation, so same-day results are usually empty.
• location is a text match on the address, not a radius search. "Manchester" matches addresses containing that word.
• Company data only. No emails or phone numbers — those are not in the public register.
• This Actor reads the public Companies House register. It does not access anything requiring authentication.

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Related Actors

• UK Companies House Intelligence — full profile, officers, PSC/beneficial ownership and filing history for any company number. The natural next step: use this Actor to find new companies, then enrich them.
• SEC EDGAR Filing Monitor — the same new-only monitoring pattern for US public company filings.
• RSS Feed Scraper — if you also track company news feeds.

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Data source and responsible use

Data comes from the public Companies House register via its advanced company search, published by Companies House under the Open Government Licence. This Actor reads only publicly accessible pages, respects the service with paced requests, and does not attempt to access anything behind authentication.

Companies House data includes information about individuals (registered office addresses can be residential). If you use these records for marketing, UK GDPR and PECR still apply to you as the data controller — check that your outreach has a lawful basis and honours opt-outs.

Not affiliated with or endorsed by Companies House.