# North Data Scraper: Company Register, Officers & Change Monitor (`getascraper/northdata-companies-scraper`) Actor Search North Data for European companies by name, register number, person or address. Get status, officers with role history, yearly revenue, earnings, company history and linked companies. Filter by country, legal form, founding date or insolvency, and monitor new and changed companies. No login. - **URL**: https://apify.com/getascraper/northdata-companies-scraper.md - **Developed by:** [GetAScraper](https://apify.com/getascraper) (community) - **Categories:** Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.60 / 1,000 company records This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ## 🏢 North Data Scraper: Company Register, Officers & Change Monitor
Check European companies at the local source. Each Actor reads one country's company register or leading business directory. Use them for KYC checks, supplier vetting and B2B lead lists.
EUROPEAN COMPANY DATA BY COUNTRY   •  Registers and business directories, one country or region per Actor.
 North Data
➤ You are here 		 Proff
Nordic financials, boards and shareholders. 		 Poland KRS
Polish court register: board, owners, filings. 		 Bizi.si
Slovenian companies by size and ownership.
European company register facts, filtered the way you screen
Search North Data by name, register number, person or address. Get status, officers, history and yearly figures in a spreadsheet, and let a scheduled search tell you what changed.
🎯 Screening filters
Country, status, legal form, city, register court, founding date, revenue, officers and insolvency. 		🔔 What changed
Schedule a search and get only new or changed companies, with the change spelled out. 		👥 Officers and history
Who holds which role since when, plus name, capital and address changes. 		🔗 Linked companies
Shareholders, parents and other companies named in the register publications.
**Look up companies in North Data, the European company register search, and download them as JSON, CSV or Excel.** Each row gives the name, legal form, status, register entry, city and country. Switch on full details to add the address, founding date, business purpose, officers, yearly revenue and earnings, company history, publications and linked companies. *** ### 🔍 What can you do with it? - **I run KYC or AML checks** and need to confirm a counterparty exists, is active and who its officers are, without opening each page by hand. - **I do B2B sales or lead research** and want fresh companies of one legal form in one country, founded in the last 90 days. - **I manage credit and supplier risk** and want a weekly list of companies in liquidation or with insolvency events among the names I track. - **I research M\&A or investments** and need history, capital changes and linked companies for a shortlist. - **I am a journalist or analyst** tracing who sits at a street address, or where a person holds roles. *** ### 🚀 How to use it
STEP 1
Say what to look up
Company names, register numbers, people, street addresses or North Data links. 		STEP 2
Narrow and enrich
Set the filters you screen by and switch on full company details if you need them. 		STEP 3
Download or schedule
Export the table, or name the search and run it on a schedule to see only what is new.
**Good to know before you start** - North Data shows at most 45 matches for one search without a subscription. For longer lists, run several searches: add a legal form, a city or a second spelling to each. - A name that matches exactly one company opens that company directly. You get that one row, so add a word such as the legal form or city to see similar names. - Filters on country, status, legal form, city, register court and name words are applied to the 45 matches of each search. Filters on founding date, revenue, officers and insolvency need the full company profile and read it automatically. - For a street address, write it with the country, for example `Werner-von-Siemens-Str. 1, 80333 München, Germany`. *** ### ⚙️ Input | Field | Type | Required | Description | | --- | --- | --- | --- | | Company, person or register number | array of text | No | Names, register numbers such as `HRB 6684`, or person names. Each entry is its own search of up to 45 matches. | | Street addresses | array of text | No | Addresses to check, written with the country. Returns the companies registered there. | | North Data links | array of URLs | No | Company page, person page or search links copied from North Data. A company link always reads the full profile. | | Include people in results | boolean | No | Adds person records with the companies they are linked to. Off by default. | | Countries | array of enum | No | Keep only companies in these countries. | | Company status | array of enum | No | Active, in liquidation or terminated. | | Legal forms | array of text | No | For example `GmbH`, `AG`, `SAS`, `B.V.`. | | Cities | array of text | No | Keep companies whose city contains one of these words. | | Register courts | array of text | No | Keep companies whose register court or authority contains one of these words. | | Name must contain one of | array of text | No | Keep companies with at least one of these words in the name or a former name. | | Name must not contain | array of text | No | Drop companies with any of these words in the name. | | Read the full company profile | boolean | No | Adds address, officers, figures, history, publications and linked companies to every row. Off by default. | | Latest publications per company | integer | No | How many register publications to include with full details. | | Founded on or after / before | date | No | Founding date window. Reads the full profile to check. | | Founded within the last days | integer | No | Companies founded in the last N days. | | Minimum and maximum revenue | number | No | Latest published yearly revenue. Companies without a published figure are skipped. | | Only companies with published figures | boolean | No | Skip companies with no yearly figures. | | Minimum number of officers | integer | No | Keep companies with at least this many listed officers. | | Insolvency events | enum | No | Any, only companies with insolvency events, or only companies without them. | | Monitor name | text | No | Give the search a name to receive only new or changed companies on later runs. | | What to deliver in monitor mode | enum | No | New and changed companies, or new companies only. | | Maximum rows | integer | No | Upper limit on rows for the run. The default is 20. | | Proxy | object | No | Connection settings. The default works for most runs. | *** ### 📦 Output Each company is one row. Fields with no data are left out, never filled with placeholders. ```json { "recordType": "company", "name": "Aumann AG", "legalForm": "AG", "status": "active", "foundingDate": "2012-01-31", "street": "Dieselstr. 6", "postalCode": "48361", "city": "Beelen", "countryCode": "DE", "register": "District Court of Münster HRB 16399", "lei": "529900GLI93PGU71F690", "euid": "DER2713.HRB16399", "capital": "€12.9M", "officerCount": 5, "officers": [{ "name": "Sebastian Roll", "role": "CEO" }], "revenue": 203985000, "revenueYear": "2025", "currency": "EUR", "formerNames": ["MBB Technologies GmbH"], "linkedCompanies": [{ "name": "MBB SE", "relation": "Shareholder" }], "detailsFetched": true } ``` #### Field reference | Field | Type | Description | | --- | --- | --- | | recordType | text | `company` or `person`. | | name, legalForm, status | text | Company name, legal form and status (active, in liquidation, terminated). | | foundingDate | date | Founding date when the register shows it. | | street, postalCode, city, country, countryCode, address | text | Registered address. | | otherLocations | array | Further locations named on the profile. | | purpose, industry | text | Business purpose and industry. | | register, registerAuthority, registerType, registerNumber | text | Register entry, split into its parts. | | formerRegisters, formerNames | array | Earlier register entries and former names. | | lei, euid, tickers, nationalIds | text / array | Identifiers shown on the profile. | | capital, capitalDate | text | Latest share capital and its date. | | officerCount, officers, officerChanges | number / array | Current officers and the role history with start and end dates. | | revenue, earnings, totalAssets, employees | number | Latest published figure, with the matching `...Year` field and `currency`. | | financials | array | Yearly series for revenue, earnings, total assets, employees, patents and funding. | | history | array | Dated changes such as name, legal form, capital and register moves. | | publicationCount, latestPublicationDate, publications | number / date / array | Register publications with date, source and topic. | | linkedCompanies | array | Companies named in publications, with the relation and last publication date. | | hasInsolvencyEvents | boolean | True when the publications include insolvency events. | | associatedCompanies, roleHistory | array | Person records only. | | latitude, longitude | number | Coordinates of the company address. | | northDataUrl, matchedQuery, detailsFetched, scrapedAt | text / boolean / date | Source page, the search that found it, whether full details were read, and the time. | | monitor | object | In monitor mode: `new` or `changed`, with a list of what changed. | **What is not included:** North Data keeps balance sheets, equity and other key ratios, ownership percentages, network graphs, and company contact details behind its paid subscription. This Actor returns the public register data only. *** ### 💰 Pricing Pay per result. An empty run costs nothing and there are no subscriptions. Reading the full company profile for a row is charged as a separate small event, so base searches stay cheap. See the pricing box at the top of this page for the current rates. **Free plan:** up to 25 rows per run, 3 runs per day, with a 30 minute pause between runs. *** ### ⭐ Enjoying North Data Scraper?
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*** ### ✨ Tips and best practices - Start with the default 20 rows to see the shape of the data, then raise the limit. - Use one search per name variant, legal form or city to go beyond 45 matches. - Turn on full details only for the rows you need. Base rows are faster and cheaper. - For monitoring, keep the same Monitor name and the same searches on every scheduled run. Turn on full details if you also want to hear about officer, address or capital changes. - Check the status and the insolvency flag before relying on a company as a counterparty. *** ### ❓ FAQ ##### Does it need a North Data account or API key? No. It uses only the public pages, so there is nothing to log in to and no key to enter. ##### Why do I get at most 45 companies per search? That is the most North Data shows without a paid subscription. Put several narrower searches in the same run, for example one per legal form or city, and the results arrive together in one dataset. ##### Does it return balance sheets, ownership percentages or contact details? No. Those are paid-subscription data on North Data. You get the public register data: status, address, officers, yearly revenue and earnings where published, history, publications and linked companies. ##### How do I track newly registered companies? Give the search a Monitor name, set the founded-within-days filter and schedule the run. Each run then delivers only companies you have not received before, and changed ones if you ask for them. *** ### 🛡️ Disclaimers and support This Actor is an independent tool and is not affiliated with North Data. It collects publicly available register information. You are responsible for using the data in line with the law and the source's terms, including data protection rules for the names of officers. Questions or feature ideas are welcome in the Issues tab of this Actor. *** ### 🔗 Other actors - [Poland KRS Scraper: Krajowy Rejestr Sądowy Data, Feed, Monitor](https://apify.com/getascraper/poland-krs-company-registry-scraper) ↗ - Polish court register companies with a change feed and monitor. - [Japan Company Scraper: 4.5M+ gBizINFO Records](https://apify.com/getascraper/gbizinfo-japan-company-scraper) ↗ - Japanese company records from the national business database. - [Bizi.si Slovenia Scraper: Slovenska podjetja for Business Leads](https://apify.com/getascraper/bizi-si-business-scraper) ↗ - Slovenian company leads with contact details. - [BUSINESS.bg scraper: Bulgarian company leads](https://apify.com/getascraper/business-bg-company-leads-scraper) ↗ - Bulgarian company leads and contacts. - [Wyoming Business Search Scraper: LLC Lookup & Registered Agent](https://apify.com/getascraper/wyoming-business-registry-scraper) ↗ - US state business registry lookups with registered agents. # Changelog This Actor's version history is a separate document: https://apify.com/getascraper/northdata-companies-scraper/changelog.md # Actor input Schema ## `searchQueries` (type: `array`): What to look up: company names, commercial register numbers such as HRB 6684, or person names. Each entry is its own search and returns up to 45 matches, the most North Data shows without a subscription. Name searches match company names and former names. The pre-filled example (Siemens) is ignored when you use Addresses or Start URLs and leave it unchanged. ## `addresses` (type: `array`): Street addresses to check, written as street, postcode, city and country, for example 'Werner-von-Siemens-Str. 1, 80333 München, Germany'. Returns the companies registered at that address, useful to spot letterbox addresses and groups sharing one office. Without the country the site may read the text as a person name. ## `startUrls` (type: `array`): Company page links, person page links or search links copied from northdata.com. A company link always reads the full company profile. ## `includePeople` (type: `boolean`): Also return people the search finds (name, city and the companies they are linked to). Off by default so a company search returns companies only. ## `countries` (type: `array`): Keep only companies registered in these countries. Applied to the search results before any profile is read, so it costs nothing extra. ## `statuses` (type: `array`): Keep only companies in these states. Terminated companies are marked as dissolved on North Data, in liquidation means the company is being wound up. ## `legalForms` (type: `array`): Keep only companies whose registered name ends with one of these legal forms, for example GmbH, AG, UG, KG, Ltd., B.V., S.A.S. ## `cities` (type: `array`): Keep only companies whose registered seat contains one of these city names, for example München or Hamburg. Accents and capital letters are ignored. ## `registerCourts` (type: `array`): Keep only companies filed at a register court or authority containing one of these words, as North Data prints them in English, for example Munich or Charlottenburg. ## `nameIncludes` (type: `array`): Keep only companies whose name or former name contains at least one of these words. ## `nameExcludes` (type: `array`): Drop companies whose name or former name contains any of these words, for example holding or verwaltung to skip shell companies. ## `includeDetails` (type: `boolean`): Adds the registered address, founding date, business purpose, officers with roles, officer history, published financial figures by year, register events, latest publications and linked companies. One extra page is read per company and billed as a detail event. Off returns the search result facts only (name, status, seat, register entry, former names). ## `maxEvents` (type: `integer`): How many of the newest register publications (role changes, capital changes, annual reports, shareholder notices) to include per company when full profiles are read. Set 0 to leave them out. ## `foundedAfter` (type: `string`): Keep only companies founded on or after this date. Reads each candidate's full profile to check it. ## `foundedBefore` (type: `string`): Keep only companies founded on or before this date. ## `foundedWithinDays` (type: `integer`): Keep only companies founded in the last N days, counted from the day of the run. Handy for scheduled new-company watches. 0 turns it off. ## `minRevenue` (type: `number`): Keep only companies whose latest published revenue is at least this amount, in the currency of the filing. Companies without published revenue are dropped when this is set. ## `maxRevenue` (type: `number`): Keep only companies whose latest published revenue is at most this amount. Companies without published revenue are dropped when this is set. ## `onlyWithFinancials` (type: `boolean`): Keep only companies for which North Data shows at least one public financial figure such as revenue, earnings or total assets. ## `minOfficers` (type: `integer`): Keep only companies with at least this many officers on record, useful to separate single-director shells from established firms. ## `insolvency` (type: `string`): Only companies with insolvency or liquidation notices in their register events, or exclude them. Useful for supplier and credit risk checks. ## `monitorScope` (type: `string`): Give this watch a name to deliver only new or changed companies on each run. Runs with the same name share one saved memory kept for 120 days; use different names for different watch lists. Leave empty for a normal run. ## `monitorEmit` (type: `string`): New and changed returns companies seen for the first time plus those whose status, name, seat or register entry changed (and, with full profiles, officers, address, capital or new publications). New only skips changes. ## `maxResults` (type: `integer`): Total number of rows to return in this run. Raise it for bigger jobs. Free plan runs are limited to 25 rows. ## `proxyConfiguration` (type: `object`): North Data refuses many quick requests from one address, so each request goes out through a fresh Apify datacenter address by default. Leave it on unless you bring your own proxies. ## Actor input object example ```json { "searchQueries": [ "Siemens" ], "addresses": [], "startUrls": [], "includePeople": false, "includeDetails": false, "maxEvents": 25, "foundedWithinDays": 0, "onlyWithFinancials": false, "minOfficers": 0, "insolvency": "any", "monitorScope": "", "monitorEmit": "newAndChanged", "maxResults": 20, "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchQueries": [ "Siemens" ], "addresses": [], "startUrls": [], "includePeople": false, "includeDetails": false, "maxEvents": 25, "foundedWithinDays": 0, "onlyWithFinancials": false, "minOfficers": 0, "insolvency": "any", "monitorScope": "", "monitorEmit": "newAndChanged", "maxResults": 20, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("getascraper/northdata-companies-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "searchQueries": ["Siemens"], "addresses": [], "startUrls": [], "includePeople": False, "includeDetails": False, "maxEvents": 25, "foundedWithinDays": 0, "onlyWithFinancials": False, "minOfficers": 0, "insolvency": "any", "monitorScope": "", "monitorEmit": "newAndChanged", "maxResults": 20, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("getascraper/northdata-companies-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchQueries": [ "Siemens" ], "addresses": [], "startUrls": [], "includePeople": false, "includeDetails": false, "maxEvents": 25, "foundedWithinDays": 0, "onlyWithFinancials": false, "minOfficers": 0, "insolvency": "any", "monitorScope": "", "monitorEmit": "newAndChanged", "maxResults": 20, "proxyConfiguration": { "useApifyProxy": true } }' | apify call getascraper/northdata-companies-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,getascraper/northdata-companies-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/sF1LuQbFIIHIHh4CW/builds/QOT9McOAHPSzwUjka/openapi.json