North Data Scraper & API - EU Company Register Data

This North Data scraper looks up European companies on northdata.com, the search engine over official trade registers (German Handelsregister, UK Companies House, French Sirene, Belgian KBO, Dutch KvK, Danish CVR, Austrian Firmenbuch and more), and returns one clean row per company: register number, EUID, LEI, status, legal form, founding date, registered address, industry, corporate purpose, current officers, latest revenue, earnings and employees, the full per-year financial table and the register history, as JSON, CSV or Excel. Use it as a North Data API, a Handelsregister scraper, a company register lookup for KYC, due diligence and supplier checks, or a B2B data enrichment step from your own code, Make, Zapier or n8n.

Give it company names (it uses North Data's own autocomplete to find the exact company), free-text searches, or company page URLs. Plain HTTP, no headless browser and no login. $0.70 per 1,000 companies, no start fee: the cheapest North Data scraper on the Store (checked 3 Nov 2026), officers, financials and history included.

What you get

• Identity: registered name, former names, legal form, status (active / terminated / in liquidation), register court and number, EUID, LEI, stock tickers and every other register ID on file.
• Address: registered street, postal code, city, country (plus former seats).
• Business: industry class and the registered corporate purpose.
• Financials: latest revenue, earnings, employees, balance sheet total and equity with their year and currency, plus every published figure per year (revenue, earnings, employees, public funding, patents ...).
• People: current legal representatives and executives (name, role, city) and management changes with dates.
• History: registrations, name, address and capital changes, mergers, trademarks, public funding and patents, newest first.
• Lookup info: the name you searched for and how it matched (exact / partial).

Sample output

Real rows from the 5-company demo (cloud run of the prefilled input, build 1.0.3):

query	company	register	city	revenue	officers
Siemens AG	Siemens AG	District Court of Munich HRB 6684	München	€78.9B (2025)	139
SAP SE	SAP SE	District Court of Mannheim HRB 719915	Walldorf	€36.8B (2025)	79
Tesco PLC	Tesco plc	Companies House 00445790	Welwyn Garden City	£73.3B (2026)	28
Zalando SE	Zalando SE	District Court of Charlottenburg (Berlin) HRB 158855 B	Berlin	€12.3B (2025)	16
Spotify AB	Spotify AB	Bolagsverket 5567037485	Stockholm	-	5

Use cases

• KYC and due diligence: confirm a counterparty's register entry, status, legal representatives and address before you sign
• Supplier and customer checks: bulk-verify that a list of companies is active, with their register number and LEI
• B2B data enrichment: add register IDs, founding year, industry, revenue and headcount to your CRM accounts
• M&A and investment research: pull revenue, earnings and management history for a target list
• Sales prospecting in DACH and the EU: look up decision makers (managing directors, board members) of the companies on your list

Pricing

Pay per result: $0.70 per 1,000 companies (one result = one company saved to the dataset). Platform usage is included, and there is no start fee.

You look up	You pay
100 companies	$0.07
1,000 companies	$0.70
10,000 companies	$7.00
100,000 companies	$70.00

Names that do not match a company, companies skipped by your filters, duplicates and failed requests are never charged. If you set a maximum cost per run, the scraper stops cleanly when it reaches it. The Apify free plan's $5 monthly credit covers about 7,100 companies; the 5-company demo costs under half a cent.

Other North Data actors on the Apify Store (free-plan prices per 1,000 companies, checked 3 Nov 2026; 30-day users in brackets):

Actor	Price per 1,000
This actor	$0.70, no start fee, officers, financials and history included
topapi North Data Scraper (1)	$0.90 per company, $0.72 per listing or person row
getascraper Northdata Companies Scraper (1)	$0.80 per search row + $2.00 per company profile
jungle_synthesizer North Data financials (1)	$1.00 + start fee
trev0n North Data Scraper (25)	$2.00 + start fee
madeingermany North Data Scraper (1)	$2.00
dami_studio North Data Scraper (7)	$2.55 + $0.002 per run
v0iddo / scrapingmonkey / kamerozkan (1-2)	$2.98 to $3.00
blackfalcondata North Data Scraper (1)	$3.15 + start fee
memo23 North Data Scraper (20)	$3.50 + start fee
parsebird / fetch_cat / hipersoft / automation-lab (2-5)	$3.50 to $4.59
scrapewise / crawloop (1 each)	$3.90 / $4.50 + $0.005 per run
solidcode North Data Scraper (56, most used)	$4.75 + start fee
xtracto North Data Company & Register Extractor (8)	$6.00 + $0.005 per run
silentflow Northdata Company Scraper (23)	$8.00 + start fee
themineworks / scrapesage / axery / sian.agency (1-2)	$7.20 to $16.00

The "low-cost" / "cheap" actors (delectable_incubator, scrapestorm) show $0.05 but add $2.99-$3.49 per dataset item.

FAQ

Is there an official North Data API? North Data sells API access with its paid business plans. This actor needs no subscription: it reads the public company pages, and you pay per company found. Start it over the Apify API with a list of names and get JSON back.

What does a typical run cost? Checking 500 suppliers costs $0.35. Enriching 10,000 CRM accounts costs $7.00. A weekly check of 200 key accounts costs about $0.60 a month.

Does it need a North Data account? No. It reads the public company pages and the site's own autocomplete over plain HTTPS.

What if a name is ambiguous? The actor takes the company with the same name (legal form ignored) or, failing that, the one containing all your words, preferring active companies. Anything looser is reported as not found and not charged, unless you turn on acceptFuzzyMatches. Each row carries matchType.

Is scraping North Data legal? The actor reads only public pages that robots.txt allows. Register data includes names of company officers, which is personal data under GDPR; you are responsible for having a legitimate purpose for processing it.

How to use

1. Paste Company names, one per line: Siemens AG, Tesco PLC, Personio SE & Co. KG. Adding the legal form gives the best matches.
2. Optionally add Search terms like software berlin (up to 45 companies each), or North Data company URLs.
3. Choose what to include: officers, register history, the full financial table.
4. Optionally keep only active companies, certain countries, or a minimum revenue / headcount.
5. Click Start and download the results from the Output tab, or fetch them through the Apify API.

Input

Field	Default	Description
companyNames	-	Company names to look up; each returns its best exact / whole-word match
searchTerms	-	Free-text searches; up to maxResultsPerSearch companies each (max 45)
startUrls	-	North Data company page URLs
maxResultsPerSearch	15	Companies per search term (1-45)
acceptFuzzyMatches	false	Also save the closest result when no company has the same name
includeOfficers / includeHistory / includeFinancials	true	Optional sections
activeOnly	false	Skip terminated and liquidated companies
countries	-	ISO codes to keep, e.g. DE, AT, CH
minRevenue / minEmployees	0	Skip smaller companies (needs figures on file)

With no input at all, a 5-company demo (Siemens, SAP, Tesco, Zalando, Spotify) runs.

Input example

{
    "companyNames": ["Siemens AG", "Personio SE & Co. KG", "Tesco PLC"],
    "searchTerms": ["software berlin"],
    "maxResultsPerSearch": 15,
    "activeOnly": true
}

Output example

{
    "name": "Siemens AG",
    "status": "active",
    "legalForm": "AG",
    "register": "District Court of Munich HRB 6684",
    "euid": "DED2601V.HRB6684",
    "lei": "W38RGI023J3WT1HWRP32",
    "foundingDate": "1996-08-28",
    "address": "Werner-von-Siemens-Str. 1, 80333 München, Germany",
    "street": "Werner-von-Siemens-Str. 1",
    "postalCode": "80333",
    "city": "München",
    "countryCode": "DE",
    "industry": "Manufacture of electronic components",
    "revenue": 78914000000,
    "revenueYear": 2025,
    "earnings": 9620000000,
    "earningsYear": 2025,
    "currency": "€",
    "officers": [{ "name": "Roland Busch", "role": "CEO", "city": "München", "type": "person" }],
    "tickers": ["SIE.DE", "SIEGY"],
    "history": [{ "date": "2026-04-24", "event": "Company statute", "source": "Hrcdd" }],
    "url": "https://www.northdata.com/Siemens%20AG,%20M%C3%BCnchen/HRB%206684",
    "searchQuery": "Siemens AG",
    "matchType": "exact"
}

(Shortened: rows also carry corporatePurpose, formerNames, formerAddresses, identifiers, financials, personEvents and marketingEvents; lists are cut here.)

The dataset has four views: Overview, Officers, History and Lookup matches. The RUN_SUMMARY record shows how every name and search was matched and lists anything that was not found.

Integrations

• Our Companies House scraper: deeper UK data (filings, PSCs) straight from the official API.
• Our Website Contact Extractor: add e-mails and phone numbers from each company's website.
• Make, Zapier and n8n: enrich new CRM accounts automatically.
• Google Sheets: export the dataset straight to a spreadsheet.
• Apify API: start runs and download results over REST, or with the JavaScript and Python clients.
• MCP for AI agents: the Apify MCP server (https://mcp.apify.com) lets Claude, ChatGPT, Cursor and other agents call this North Data scraper as a tool.

Limits

• Only what North Data shows without an account: premium-only items (ownership charts, full balance sheets, documents) are not included.
• Financial figures exist mainly for larger and listed companies; many small companies only have register data.
• Free-text search shows at most 45 companies per term without login; for bulk lists, supply company names.
• North Data limits requests per IP; the actor spreads requests over rotating datacenter IPs, so large runs take a few minutes per thousand companies.

Need a custom scraper or a ready dataset? Hire me on Fiverr: https://www.fiverr.com/rel8ble