Institutions for factoring activities companies in Dortmund

Dortmund ·Currently listed companies in the Institutions for factoring activities industry headquartered in Dortmund.

65 companies · 21–40 of 65

DS-Rendite-Fonds Nr. 134 Flugzeugfonds IX GmbH & Co. KG HRA 16717 Dortmund · 2008
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DS-Rendite-Fonds Nr. 135 Flugzeugfonds X GmbH & Co. KG HRA 16743 Dortmund · 2008
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DS-Rendite-Fonds Nr. 139 Flugzeugfonds XIII GmbH & Co. KG HRA 17378 Dortmund · 2011
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Eigentümergemeinschaft Flemerskamp eGbR GsR 402 Dortmund · 2025
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Eurolingua und Interlingua Übersetzungen GmbH & Co. KG HRA 13148 Dortmund · 1995
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Europaeisches Institut für Gesichts- und Zahnaesthetik GmbH & Co. KG HRA 16184 Dortmund · 2006
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EUROPLAN Erste GmbH & Co. KG HRA 18837 Dortmund · 2019
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Fischer & Schäfer Immobilienservice Sauerland GmbH & Co. KG HRA 13093 Dortmund · 1994
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Geotechnik-Institut-Dr. Höfer Verwaltungs GmbH HRB 22891 Dortmund · 2010
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H.H. Niederhofer Kohlenweg 293 Dortmund GmbH & Co.KG HRA 19607 Dortmund · 2023
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H.H. Objekt Rosemeyerstraße Dortmund SF GmbH & Co. KG HRA 18701 Dortmund · 2018
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H.H. Objekt Schulstraße 7 Gelsenkirchen SF GmbH & Co. KG HRA 18904 Dortmund · 2020
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H.H. Objekt Zeche Crone Dortmund SF GmbH & Co. KG HRA 18688 Dortmund · 2018
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Hans Plaga e. K. Inhaber Renate Plaga HRA 10292 Dortmund · 1972
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Harry G. Wagner, Büromaschinen Inh. Herbert Seidel HRA 9179 Dortmund · 1965
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IBB Westfalen GmbH - Institut für Baubetrieb und Bauwirtschaft HRB 29179 Dortmund · 2001
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IFAS Institut für Qualitätssicherung und angewandte Schadensanalyse GmbH HRB 20430 Dortmund · 2007
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IHK Gesellschaft für Informationsverarbeitung mbH HRB 15582 Dortmund · 1987
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Immobilien & Fairwaltung KG HRA 17789 Dortmund · 2012
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Inlingua Sprachschule Dortmund, Inhaber Axel Bolz e.K HRA 18930 Dortmund · 2020
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All industries in Dortmund

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&skip=20

&filters={"city":"Dortmund","industry_code":"64.92.1","industry_scheme":"WZ2025"}

# pip install handelsregister
from handelsregister import Handelsregister

client = Handelsregister(api_key="YOUR_API_KEY")  # or set HANDELSREGISTER_API_KEY
page = client.search_organizations(
    filters={
        "city": "Dortmund",
        "industry_code": "64.92.1",
        "industry_scheme": "WZ2025"
    },
    limit=20,
    skip=20,
)
print(page["total"])
for item in page["results"]:
    print(item["name"], item["registration"]["register_number"])

// npm install handelsregister
import { Handelsregister } from 'handelsregister';

const client = new Handelsregister('YOUR_API_KEY'); // or set HANDELSREGISTER_API_KEY
const page = await client.searchOrganizations({
  filters: {
      "city": "Dortmund",
      "industry_code": "64.92.1",
      "industry_scheme": "WZ2025"
  },
  limit: 20,
  skip: 20,
});
console.log(page.total);
for (const item of page.results) {
  console.log(item.name, item.registration.register_number);
}

// npm install handelsregister
const { Handelsregister } = require('handelsregister');

const client = new Handelsregister(process.env.HANDELSREGISTER_API_KEY);
(async () => {
  const page = await client.searchOrganizations({
    filters: {
        "city": "Dortmund",
        "industry_code": "64.92.1",
        "industry_scheme": "WZ2025"
    },
    limit: 20,
    skip: 20,
  });
  console.log(page.total);
  for (const item of page.results) {
    console.log(item.name, item.registration.register_number);
  }
})();

curl 'https://handelsregister.ai/api/v1/search-organizations?limit=20&skip=20' \
  -H 'x-api-key: YOUR_API_KEY' \
  -G --data-urlencode 'filters={"city":"Dortmund","industry_code":"64.92.1","industry_scheme":"WZ2025"}'

{
    "results": [
        {
            "entity_id": "<32-char hex>",
            "name": "<string>",
            "registration": {
                "court": "<string>",
                "register_type": "<string>",
                "register_number": "<string>"
            },
            "address": {
                "house_number": "<string>",
                "street": "<string>",
                "postal_code": "<string>",
                "city": "<string>",
                "county": "<string>",
                "state": "<string>",
                "country": "<ISO country>",
                "coordinates": {
                    "latitude": "<float>",
                    "longitude": "<float>"
                }
            },
            "registration_date": "<ISO date>",
            "purpose": "<string>"
        }
    ],
    "total": "<int>",
    "meta": {
        "request_credit_cost": "<int>",
        "credits_remaining": "<int>"
    }
}

results[]

entity_id string

Stable 32-char hex identifier. Pass straight into /fetch-organization as `q`.

name string

Registered company name.

registration object

address object

Postal address with street, house_number, postal_code, city, county, state, country and coordinates (latitude/longitude).

registration_date date

Initial entry into the commercial register (ISO date).

purpose string

Stated business purpose (Unternehmensgegenstand).

top-level

total integer

Total result count for pagination.

meta.request_credit_cost integer

Credits actually charged for this call.

meta.credits_remaining integer

Account credit balance remaining after this call.

Location · Industry · Legal form · Full-text

Filters & master data — via search-organizations

City, industry, legal form, registration date: every argument combinable through the filters parameter. One REST endpoint, every German company.

Location & geo Filter by city, postal code, state and county through city, postal_code, state and county.
Industry (WZ2025) Industry segmentation via the official WZ2025 codes — industry_code combined with industry_scheme.
Legal form GmbH, AG, KG, OHG and more via legal_form_code.
Company size bs_company_size_category – small, medium, large based on balance-sheet totals.
Active status Restrict to active entries or include deleted companies via active.
Registration date Date ranges via registration_date_from and registration_date_to.
Full-text search Free-text query via the q parameter (min. 2 characters).
Pagination skip and limit (up to 30 results per call) for deep lists.
Master data per result entity_id, name, address, registration and registration_date – pass entity_id straight to /fetch-organization.

Run every filter live with an API key. Get an API key →

Code · AI-Agents · No-Code · Workflows

Drops into any stack

The search-organizations API speaks every mainstream client: REST, Python, Node, MCP for AI agents, n8n and webhook platforms.

REST API Simple GET request with the X-API-KEY header and JSON-encoded filters. Python requests, httpx or your favourite library — pass filters via json.dumps. Node.js fetch or axios with URLSearchParams. Works in edge, worker and browser runtimes. MCP Server Directly in Claude, Cursor or any MCP-aware AI client as the search_organizations tool. n8n Pre-built custom node for workflow automation — city, industry and size as filter inputs. Webhook Callable from Zapier, Make or any other webhook platform.

This list in your app

Grab an API key and filter every German company by city, industry, size and more — straight from your application. One REST endpoint, every result.

Get an API key

Filters & master data — via search-organizations

Drops into any stack

This list in your app

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