Activities of holding companies companies in Bad Nauheim

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

90 companies · 1–20 of 90

Agel Garten - Verwaltungs UG (haftungsbeschränkt) HRB 8160 Friedberg (Friedberg (Hesse)) · 2015
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Avela Holding GmbH HRB 10538 Friedberg (Friedberg (Hesse)) · 2022
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B & H Law GmbH Rechtsanwaltsgesellschaft HRB 8893 Friedberg (Friedberg (Hesse)) · 2018
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Bach Projekt GmbH HRB 8773 Friedberg (Friedberg (Hesse)) · 2018
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Baumkronenweg Edersee UG (haftungsbeschränkt) & Co. KG HRA 4297 Friedberg (Friedberg (Hesse)) · 2009
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BBL Beratungs- und Beteiligungsgesellschaft mbH GmbH · HRB 1332 Friedberg (Friedberg (Hesse)) · 1992
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BCS Verwaltungs GmbH HRB 10284 Friedberg (Friedberg (Hesse)) · 2023
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BTW07 GmbH & Co. KG HRA 5041 Friedberg (Friedberg (Hesse)) · 2023
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Burghof-Klinik Bad Nauheim Grundbesitzgesellschaft mbH GmbH · HRB 7163 Friedberg (Friedberg (Hesse)) · 2011
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CityCenter Ennepetal GmbH HRB 9746 Friedberg (Friedberg (Hesse)) · 2021
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CONPARC Hotel & Conference Centre Bad Nauheim GmbH HRB 5605 Friedberg (Friedberg (Hesse)) · 2002
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D + K Verwaltungs GmbH HRB 9810 Friedberg (Friedberg (Hesse)) · 2022
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David Beteiligungs GmbH HRB 8581 Friedberg (Friedberg (Hesse)) · 2017
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Demni Fit & Beauty Verwaltungs GmbH HRB 7691 Friedberg (Friedberg (Hesse)) · 2013
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DH Beteiligungsgesellschaft mbH GmbH · HRB 9390 Friedberg (Friedberg (Hesse)) · 2020
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Dilips Epsilon Sag GmbH HRB 10543 Friedberg (Friedberg (Hesse)) · 2024
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Dolzer und Heinz Betriebs und Verwaltungs GmbH HRB 6666 Friedberg (Friedberg (Hesse)) · 2002
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Domizil Verwaltung GmbH HRB 8475 Friedberg (Friedberg (Hesse)) · 2017
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Dr. Leinung UG (haftungsbeschränkt) HRB 8974 Friedberg (Friedberg (Hesse)) · 2019
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Dr. Mosert Verwaltungsgesellschaft mbH, Bad Nauheim GmbH · HRB 1110 Friedberg (Friedberg (Hesse)) · 1990
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All industries in Bad Nauheim

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&filters={"city":"Bad Nauheim","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": "Bad Nauheim",
        "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": "Bad Nauheim",
      "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": "Bad Nauheim",
        "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":"Bad Nauheim","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

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