Activities of holding companies companies in Neu-Anspach

Neu-Anspach ·Currently listed companies in the Activities of holding companies industry headquartered in Neu-Anspach.

37 companies · 1–20 of 37

AH JaMa GmbH GmbH · HRB 12492 Bad Homburg (Bad Homburg vor der Höhe) · 2012
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Aktiv Finanzmanagement für Beteiligungen GmbH GmbH · HRB 11952 Bad Homburg (Bad Homburg vor der Höhe) · 2011
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Assure Beteiligungsgesellschaft mbH GmbH · HRB 13284 Bad Homburg (Bad Homburg vor der Höhe) · 2015
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Audendum Investment GmbH GmbH · HRB 15394 Bad Homburg (Bad Homburg vor der Höhe) · 2021
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B.D.L.D. Holding GmbH GmbH · HRB 16687 Bad Homburg (Bad Homburg vor der Höhe) · 2024
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Becker Verwaltungs GmbH Neu-Anspach GmbH · HRB 13288 Bad Homburg (Bad Homburg vor der Höhe) · 2015
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Behr & Buhlmann GmbH & Co. Niedernissa KG GmbH & Co. KG · HRA 4186 Bad Homburg (Bad Homburg vor der Höhe) · 1993
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Bergland Medizin MVZ GmbH GmbH · HRB 16478 Bad Homburg (Bad Homburg vor der Höhe) · 2024
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Besitzgesellschaft Rößner & Ruppert Invest eGbR eGbR · GsR 21 Bad Homburg (Bad Homburg vor der Höhe) · 2024
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Biregs GmbH & Co. KG GmbH & Co. KG · HRA 4521 Bad Homburg (Bad Homburg vor der Höhe) · 2003
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eBrain Holding GmbH GmbH · HRB 16442 Bad Homburg (Bad Homburg vor der Höhe) · 2023
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Elektro-Datz Verwaltungs-GmbH GmbH · HRB 10734 Bad Homburg (Bad Homburg vor der Höhe) · 2007
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Günther Veidt GmbH GmbH · HRB 8162 Bad Homburg (Bad Homburg vor der Höhe) · 1987
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Hans Roos GmbH GmbH · HRB 8767 Bad Homburg (Bad Homburg vor der Höhe) · 2001
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Hashemi Holding GmbH GmbH · HRB 15616 Bad Homburg (Bad Homburg vor der Höhe) · 2021
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Henrici Verwaltungs GmbH GmbH · HRB 8375 Bad Homburg (Bad Homburg vor der Höhe) · 1994
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Hertlein & Weber Holding GmbH GmbH · HRB 17218 Bad Homburg (Bad Homburg vor der Höhe) · 2025
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Hessenpark Gastronomie GmbH GmbH · HRB 14834 Bad Homburg (Bad Homburg vor der Höhe) · 2019
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Horst von Rosen Verwaltungsgesellschaft mbH GmbH · HRB 14549 Bad Homburg (Bad Homburg vor der Höhe) · 2000
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KCB Holding GmbH GmbH · HRB 110749 Köln (Cologne) · 2022
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All industries in Neu-Anspach

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&filters={"city":"Neu-Anspach","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": "Neu-Anspach",
        "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": "Neu-Anspach",
      "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": "Neu-Anspach",
        "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":"Neu-Anspach","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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