Northdata Scraper - Company Register Data, Officers & Financials

Northdata Scraper collects public company records for Germany, the Netherlands, Austria, Switzerland and France, for B2B sales, KYC, credit checks and private equity research. Find a company by name, Northdata URL or national register ID, then receive its register details, public officers, publication summaries and available financial data in one dataset row.

One input list can mix company names, North Data company URLs and register numbers such as HRB 42243 München, KVK 24330087, FN 056247t, CHE-106.014.627 or Siren 919448084. The scraper returns one structured company row per match, ready for a spreadsheet, a CRM or a data pipeline.

What Northdata Company Scraper returns

Each company record includes the name used in Northdata's structured metadata, jurisdiction, register ID, company status and retrieval time. Where published, it also includes an address, incorporation date, corporate purpose, previous names, previous addresses, Legal Entity Identifier and European Unique Identifier. The national register number remains a string, preserving leading zeros in Austrian company numbers and the full CHE identifier for Switzerland.

Officers and filings are nested within the company row. This keeps the dataset convenient for CSV exports, CRM enrichment and analysis by company. Officers have their source name and role, plus a known appointment or resignation date when a public dated event states it. Current source members and explicitly reported former mandates are distinguished with the current flag. The available history is incomplete; missing dates stay empty rather than being inferred from the company's incorporation date.

Data group	Fields
Identity	name, jurisdiction, registry_id, register, register_court, northdata_url, lei, euid, other_ids
Status and history	status, status_raw, incorporation_date, dissolution_date, former_names, former_addresses, history
Profile	address, corporate_purpose, industry
Financials	financials (yearly series), balance_sheet, financials_locked
People	officers with role, appointment and resignation dates, officer_count
Register publications	filings with normalized filing_type, date, description and topics, filing_count

How to use the Northdata scraper

1. Paste company names, Northdata URLs or register IDs into queries, one per line.
2. Optionally pick a country to restrict matches to one jurisdiction.
3. Switch off officers, filings or financials if you only need the register identity.
4. Start the run and download the dataset as JSON, CSV, Excel or through the Apify API.

Input

Enter one or more values in queries. The values can be full company names, Northdata company URLs, or supported register IDs. A name search returns up to max_results companies per query, with a default of five and a maximum of fifteen. Northdata supplies the relevance order. Short or ambiguous names may return another company first, so use a full legal name or a register identifier when the target entity is already known.

The following input was run against the source and returned Coolblue B.V.:

{"queries":["Coolblue B.V."],"country":"NL","max_results":1,"max_filings":5}

Other measured identifiers are HRB 42243 München for Bayerische Motoren Werke AG, 056247t for Red Bull GmbH, CHE-106.014.627 for Nestlé Nespresso SA and Siren 919448084 for L'Oreal Europe SAS. HRA 742098 Stuttgart returned the limited partnership Lidl 402 GmbH & Co. KG in Bad Wimpfen. German HRA, HRB, GnR, VR, PR and GsR numbers require the court city because the number alone is not unique across German register courts. Austrian identifiers also accept the FN prefix and numbers without leading zeros: FN 93363z and FN 93363 z both return OMV AG with registry_id: "093363z". A space before the final letter is accepted. Dutch identifiers accept the KVK prefix.

Swiss CHE identifiers accept digits without dots or with spaces, such as CHE-106014627. French SIREN and Dutch KVK numbers accept spaces between digit groups, such as Siren 919 448 084 and KVK 24 330 087. The returned register ID uses the source's canonical form.

An incomplete register number in a mixed list is skipped with a numbered warning. Valid queries still return company rows, and the output has partial: true. A list containing only invalid register numbers is rejected without company rows or charges. URLs outside the supported Northdata domains are rejected for the entire list.

Set country to DE, NL, AT, CH or FR to restrict the jurisdiction. An empty value searches the five supported countries. URL and identifier inputs return at most one company each, and the country selection applies to those records as well.

Set include_officers, include_filings or include_financials to false to omit that part of the result. All three default to true. max_filings controls the newest publications delivered per company, from zero to two hundred, with a default of twenty-five. Searches copied from other workflows can use searchQueries, search or startUrls; URL entries can be strings or objects with a url property. The supported option aliases are maxResults, maxItems, includeOfficers and includeFinancials.

Field	Type	Default	Description
queries	list of strings	–	Company names, Northdata URLs or register IDs
country	DE, NL, AT, CH, FR or empty	empty (all five)	Restrict results to one jurisdiction
max_results	integer 1–15	5	Companies per name query
include_officers	boolean	true	Add officers and dated mandate changes
include_filings	boolean	true	Add register publication summaries
max_filings	integer 0–200	25	Newest publications per company
include_financials	boolean	true	Add public financial series and balance sheets
cursor	string	–	Continuation token from next_cursor

Output

The dataset contains one company per row. The measured Coolblue result includes name: "Coolblue B.V.", registry_id: "24330087", jurisdiction: "NL", status: "active", lei: "72450020ONP2TGFMWS03" and an address in Rotterdam. Its public officer list is empty. The result also contains the requested publication summaries. Full measured examples for all five countries are supplied with the product documentation.

Below is a real result for the input {"queries":["HRB 42243 München"],"max_filings":5}. It is shortened for reading: the full row also has four financial metrics with yearly values, a hierarchical balance sheet, 152 officers, five filings and the company history.

{
  "source": "northdata-company",
  "fetched_at": "2026-10-04T22:58:57.405Z",
  "jurisdiction": "DE",
  "registry_id": "HRB 42243",
  "name": "Bayerische Motoren Werke AG",
  "query": "HRB 42243 München",
  "northdata_url": "https://www.northdata.com/Bayerische%20Motoren%20Werke%20AG,%20M%C3%BCnchen/HRB%2042243",
  "register": "District Court of Munich HRB 42243",
  "register_court": "District Court of Munich",
  "status": "active",
  "incorporation_date": "1995-12-12",
  "address": {"street": "Petuelring 130", "postal_code": "80809", "city": "München", "country": "DE"},
  "lei": "YEH5ZCD6E441RHVHD759",
  "euid": "DED2601V.HRB42243",
  "industry": "Manufacture of motor vehicles",
  "financials": [
    {"metric": "Earnings", "values": [
      {"year": 2025, "value": 7294000000, "formatted": "€7.29B", "consolidated": false, "estimate": false,
       "source": "Stock exchange listed companies - Financial Data", "published_on": "2025-12-31"}
    ]}
  ],
  "financials_locked": false,
  "officers": [
    {"name": "Nedeljković, Milan", "role": "CEO", "appointed_on": "2026-05-15", "resigned_on": null,
     "given_name": "Milan", "family_name": "Nedeljković", "country": "DE", "current": true}
  ],
  "officer_count": 152,
  "filings": [
    {"filing_type": "officer_change", "date": "2026-09-10", "description": "Authorized signatory (ppa): Christian Hochapfel",
     "topics": ["Role"], "register_source": "Hrcdd"}
  ],
  "filing_count": 5
}

Financial series contain a metric name, reporting year, numeric value, formatted source value and the available publication reference. A balance sheet contains hierarchical items with numeric values and source information. Only publicly visible metrics are returned. Many privately held companies have no public revenue, earnings or employee values. financials_locked indicates that the source displays restricted metrics, while warnings explain requested data that was unavailable. A restricted metric is never supplied as an estimated number.

Status is active when the source shows no status marker, in_liquidation for a liquidation marker, and dissolved for termination. Other source markers produce unknown, preserving their text in status_raw. dissolution_date comes from a termination event for a dissolved company. Liquidation dates remain in history while the company is still in liquidation.

Publication records retain the source date, description, raw topics and Northdata document reference. They also receive a normalized filing_type, such as address change, capital change, officer change or annual accounts. Unknown topics are retained and classified as other. Year bundles retain the date supplied by Northdata; these are not necessarily individual register notices. Referenced documents are not downloaded, and access to them may require separate source permissions.

Use jurisdiction and register ID to match a record to national registers. For German matching, include register_court. Use a populated lei to join Legal Entity Identifier records. These keys support entity matching; they do not establish that information from different sources is current or identical.

Use cases for Northdata company data

• B2B sales and lead enrichment: add register ID, legal address, industry and current managing directors to an account list before outreach.
• KYC and supplier onboarding: confirm that a counterparty exists, is active and is registered under the number it supplied, and keep the LEI and EUID for later checks.
• Credit and risk monitoring: rerun a portfolio and compare status, insolvency and capital change filings, and officer changes, between runs.
• Private equity and M&A screening: collect public revenue and earnings series and balance sheets for listed or disclosing companies across five countries in one format.
• Data joins: link Northdata records to the German Handelsregister, the Dutch KVK, the Austrian Firmenbuch, the Swiss register or the French SIREN database through the register ID, and to GLEIF through the LEI.

Northdata Scraper compared with other options

Option	What you get	Limits
Northdata website	Rich company pages for manual lookups	One company at a time; no bulk export without a paid plan
Northdata Data API	Official bulk access	Separate contract and subscription with the source
National registers (Handelsregister, KVK, Firmenbuch, Zefix, SIRENE)	Official, sometimes certified, data per country	Five different interfaces, formats and identifier schemes
This Northdata scraper	One schema across DE, NL, AT, CH and FR, officers, filings and public financials in one row, pay per company	Public data only; restricted metrics are flagged, not filled in

Compared with a single-country Handelsregister or KVK scraper, one run covers five jurisdictions and returns the same field names for each, so a mixed European prospect list needs one actor instead of five.

Pricing

The billing unit is one delivered company record. Its included officers, publication summaries and public financial metrics are part of that company result. Empty results do not incur a company event. There is no separate actor-start event in this product's charge configuration. The current rate is the rate displayed on this actor's Apify pricing tab; review it when setting your run budget.

Free users receive up to ten company records per run. Paid runs can process larger query lists. Large inputs are collected in bounded pages, and the actor follows continuation tokens automatically. When working with the API response directly, send next_cursor as cursor together with the same original input until no continuation token remains. Always inspect partial and warnings before treating a collection as complete.

FAQ

Does every company have financial data?

No. Availability depends on what Northdata publishes publicly for that company. Listed companies may have financial series and balance sheets, while private companies may have no metrics or display restricted values. This scraper preserves that distinction and does not supply missing revenue or earnings.

Why are there no officers for a Dutch company?

Public officer information can be absent for Dutch records. An empty list means the retrieved company page did not expose those members. It does not imply that the company has no directors, and it should not be used as evidence about governance.

Can I retrieve an exact company by register number?

Yes, for supported identifier formats. Include the court city with German HRA/HRB/GnR/VR/PR/GsR numbers; register codes are case-insensitive. A complete company URL is another precise input. Unknown identifiers return a no-result error rather than a row containing unrelated search hits.

Is this a certified register extract?

No. The records reproduce public information available through Northdata and include retrieval times and source references. Obtain official extracts from the relevant authority when your workflow requires certified evidence. Source publication dates and retrieval times describe different moments and should both be considered when assessing a record.

Is this the same as a North Data scraper?

Yes. North Data and Northdata are the same source, written with and without a space. This actor reads the public company pages and search results of that source.

Are company names returned as plain text?

Yes. Names, addresses and officer names are delivered as readable text, so a German limited partnership arrives as Lidl 402 GmbH & Co. KG and not with HTML escape codes. The northdata_url is a working link to the same company page, which makes the row safe to match on name, register ID or URL.

Which countries are supported?

Germany, the Netherlands, Austria, Switzerland and France. Set country to one of DE, NL, AT, CH or FR, or leave it empty to search all five.

Can I export the results to CSV or Excel?

Yes. Every company is one dataset row, so the Apify dataset export gives CSV, Excel, JSON or XML directly. Nested officers and filings stay attached to their company and can be flattened in the export settings.