Activities of holding companies companies in Nettersheim

Nettersheim ·Currently listed companies in the Activities of holding companies industry headquartered in Nettersheim.

24 companies · 1–20 of 24

Airfit Verwaltungs GmbH GmbH · HRB 5108 Düren (Duren) · 2005
ebb277a8bc…
Dederichs Verwaltungs GmbH GmbH · HRB 9571 Düren (Duren) · 2023
826f9072de…
Dr. Christian Poensgen Unternehmergesellschaft (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 91527 Köln (Cologne) · 2017
a78dee324c…
Dr. Klose Investments Verwaltungs GmbH GmbH · HRB 8260 Düren (Duren) · 2014
cce448a9eb…
DuoTherm Beteiligungs GmbH GmbH · HRB 7469 Düren (Duren) · 2016
defb8d0cdb…
E. Schmitz Verwaltungsgesellschaft mit beschränkter Haftung GmbH · HRB 3070 Düren (Duren) · 2002
aecf152242…
Fiete Grünter Holding UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 8808 Düren (Duren) · 2021
7ac71395f5…
Hans Eichner Verwaltungs-GmbH GmbH · HRB 6825 Düren (Duren) · 1994
81ee2b6e87…
Hilgers Verwaltungs-GmbH GmbH · HRB 7941 Düren (Duren) · 2018
93915b288a…
Holz & Dach Zimmerei Kapellen GmbH GmbH · HRB 8342 Düren (Duren) · 2011
c726beb9d0…
Hubertusstraße GmbH & Co. KG GmbH & Co. KG · HRA 4327 Düren (Duren) · 2026
59b2371c6a…
Höhenweg GmbH & Co. KG GmbH & Co. KG · HRA 4329 Düren (Duren) · 2026
8bf46c4cc7…
JA Investment GmbH GmbH · HRB 7534 Düren (Duren) · 2017
9bada0991c…
K. Müller Holding GmbH GmbH · HRB 10215 Düren (Duren) · 2025
76b278e515…
Müller, Bauunternehmung, Gesellschaft mit beschränkter Haftung GmbH · HRB 3067 Düren (Duren) · 2002
5d8cb53fd1…
Nassheuer Holding GmbH & Co KG GmbH & Co. KG · HRA 4215 Düren (Duren) · 2025
a26b045280…
Poth Verwaltungs-GmbH GmbH · HRB 3378 Düren (Duren) · 1999
bfd34c0526…
PZ Friction GmbH GmbH · HRB 3231 Düren (Duren) · 2002
6185f5abd5…
RASSL GmbH GmbH · HRB 6428 Düren (Duren) · 2012
61559d9379…
Richard Schmidt Verwaltungs-GmbH GmbH · HRB 3419 Düren (Duren) · 2001
a29a66259c…

All industries in Nettersheim

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&filters={"city":"Nettersheim","industry_code":"64.21.0","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": "Nettersheim",
        "industry_code": "64.21.0",
        "industry_scheme": "WZ2025"
    },
    limit=20,
    skip=0,
)
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": "Nettersheim",
      "industry_code": "64.21.0",
      "industry_scheme": "WZ2025"
  },
  limit: 20,
  skip: 0,
});
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": "Nettersheim",
        "industry_code": "64.21.0",
        "industry_scheme": "WZ2025"
    },
    limit: 20,
    skip: 0,
  });
  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' \
  -H 'x-api-key: YOUR_API_KEY' \
  -G --data-urlencode 'filters={"city":"Nettersheim","industry_code":"64.21.0","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

Cookie Settings

Customize Cookie Settings