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North Data Scraper

hipersoft/northdata-scraper

Look up European companies on North Data: legal name, former names, register number, address, founding date, LEI, business purpose, managing directors and officers, and recent register publications. Germany, UK, France, Austria and 20+ countries. Bulk lookups.

Total users

5

Monthly users

5

Total runs

2,467

Per company

$0.004

Last rebuilt

Oct 26, 2026

Overview

North Data Scraper extracts company profiles from North Data, the search engine for European company data built from commercial registers (Handelsregister), annual financial statements, insolvency notices, patents and public funding databases. Look up companies by name or paste company links, and for each company get the legal name, register court and number (HRB, HRA, KBO, Siren, KvK…), LEI, founding date, status, full address, industry, corporate purpose (Unternehmensgegenstand) and management board / managing directors, plus optional multi-year financials (revenue, earnings, employees, total assets, equity, where published), public funding and patents, and a timeline of register events (management changes, capital changes, mergers, relocations, funding). Export to CSV, Excel or JSON. Ideal for B2B sales and lead qualification, KYC and compliance, due diligence, M&A research, credit risk and investors focused on Germany, Austria, Switzerland and the rest of Europe.

What does North Data Scraper do?

  • 🏢 Company master data: legal name, register, LEI, founding date, status.
  • 📍 Address and industry classification.
  • 🎯 Corporate purpose (business object) from the register.
  • 👔 Management: CEO, board members, managing directors with role.
  • 💶 Financial history: revenue, earnings, employees, assets, equity per year (where published).
  • 🏛️ Public funding and 🔬 patents per year.
  • 🗓️ Register events timeline with source links.
  • 🇪🇺 Germany and Europe: DE, AT, CH, FR, BE, NL, LU, DK, PL and more.

What data can you scrape from North Data?

Field Description
Company Name, link, register, status, founding date, LEI
Address Street, postal code, city, country
Business Industry, corporate purpose
Management Names and roles
Financials* Revenue, earnings, employees, total assets, equity, public funding, patents by year + latest values
Events* Date, event description, source link

* With Financial history / Register events turned on (default).

Use cases for European company data

  • B2B sales: qualify leads by size, revenue and industry; find decision makers.
  • KYC and compliance: verify legal entity, register number, LEI and management.
  • Due diligence and M&A: review financial development, mergers and capital changes.
  • Credit risk: monitor status, insolvency signals and management changes.
  • Market research: compare companies within an industry and region.

How to scrape North Data

  1. Click Try for free to open North Data Scraper in Apify Console.
  2. Enter company names (or paste company links).
  3. Optionally set a country filter and matches per company name.
  4. Keep Financial history and Register events on if you need them.
  5. Click Start and download the companies as CSV, Excel or JSON.

Input

Example input

{
  "companyNames": ["Henkel AG", "Zalando SE"],
  "countryFilter": "Germany",
  "maxResultsPerSearch": 3,
  "includeFinancials": true,
  "includeEvents": true,
  "maxEvents": 25
}
Field Description
Company names Names to look up.
Company links North Data company pages.
Country Keep matches from one country.
Matches per company name 1–50.
Financial history / Register events / Max events Optional sections.
Max companies 0 = no limit.

Output

Company example

{
  "name": "Siemens AG",
  "register": "Germany, District Court of Munich HRB 6684",
  "status": "active",
  "foundingDate": "1996-08-28",
  "street": "Werner-von-Siemens-Str. 1",
  "postalCode": "80333",
  "city": "München",
  "country": "DE",
  "industry": "Manufacture of electronic components",
  "purpose": "Development, manufacture, supply, operation and distribution of …",
  "lei": "W38RGI023J3WT1HWRP32",
  "management": [{ "name": "Roland Busch", "role": "CEO" }],
  "financials": { "revenue": [{ "year": 2025, "value": 78914000000, "formatted": "€78.9B" }] },
  "latestRevenue": 78914000000,
  "latestRevenueYear": 2025,
  "events": [{ "date": "2026-08-07", "event": "Authorized signatory (ppa) …" }]
}

Output schema

Field Type Description
name, url, register, status, foundingDate, lei string Company.
street, postalCode, city, country string Address.
industry, purpose string Business.
management array Name and role.
financials object Per-KPI yearly series.
latestRevenue, latestEarnings, latestEmployees, … (+ …Year) number Latest values.
events array Register events.
search, scrapedAt string Source info.

How much does it cost?

North Data Scraper uses pay-per-company pricing: a small fixed price per company profile, with automatic discounts on higher Apify plans. See the Pricing tab for the exact price.

More company data

FAQ

Which countries are covered? Germany has the deepest coverage; Austria, Switzerland, France, Belgium, the Netherlands, Luxembourg, Denmark, Poland and other European countries are also included.

How do I get the right company? Include the legal form in the name (for example "Henkel AG", "Bosch GmbH", "Zalando SE") and optionally set the country, or paste the company link directly.

Why are financials missing for some companies? Small companies often publish only limited figures; values appear when they are available.

What formats can I export? CSV, Excel, JSON, XML, HTML and RSS, or read the results through the Apify API.

Can I integrate North Data Scraper with other apps? North Data Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. It works with Make, Zapier, Slack, Airbyte, GitHub, Google Drive and many more, plus the Apify API, JS/Python clients and MCP. Or use webhooks to trigger an action whenever a run finishes.

Is it legal to scrape North Data? The scraper collects publicly available company register information. You are responsible for using the data in line with North Data's terms, GDPR and applicable law.

Notes

Original clean-room implementation. Returns only public company data. Not affiliated with North Data.

Input

FieldTypeDescription
companyNames
Company names
arrayCompany names to look up. Include the legal form for best matches, e.g. Henkel AG, Zalando SE, Bosch GmbH, Celonis SE. The best matches are scraped.
startUrls
Company links
arrayOptional North Data company page links (northdata.de / northdata.com …).
countryFilter
Country (English name)
stringOptional: keep only search matches from this country, e.g. Germany, Austria, Switzerland, France, Belgium, Netherlands.
maxResultsPerSearch
Matches per company name
integerHow many matching companies to scrape per name.
Default: 5
includeFinancials
Financial history
booleanRevenue, earnings, employees, total assets, equity, public funding and patents per year where published.
Default: true
includeEvents
Register events
booleanTimeline of register events (management changes, capital changes, mergers, address changes, funding, patents).
Default: true
maxEvents
Max events per company
integerNewest events to keep (0 = all).
Default: 25
maxItems
Max companies
integerStop after this many companies (0 = no limit).
Default: 100
proxyConfiguration
Proxy configuration
objectNot needed in most cases.
Default: {"useApifyProxy": false}

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~northdata-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "companyNames": [
    "Henkel AG",
    "Celonis SE"
  ]
}'

Pricing

EventPricePaid plans from
Company
One company record in the dataset (names with no match are free).
$0.004$0.002

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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