Activities of holding companies companies in Bad Essen

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

95 companies · 1–20 of 95

agri Holding GmbH GmbH · HRB 214588 Osnabrück · 2020
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agri-Saaten GmbH GmbH · HRB 18741 Osnabrück · 1999
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AGRO Immobilien Verwaltung GmbH GmbH · HRB 211922 Osnabrück · 2017
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AMG Sport Horses GmbH GmbH · HRB 201774 Osnabrück · 2008
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AW Beteiligungsgesellschaft UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 215196 Osnabrück · 2020
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B2K2 GmbH GmbH · HRB 210486 Osnabrück · 2016
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BE Verwaltungs UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 206222 Osnabrück · 2012
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BEG Beteiligungs GmbH & Co. KG GmbH & Co. KG · HRA 203876 Osnabrück · 2013
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Begemann CNC Blechverarbeitung und Umformtechnik GmbH GmbH · HRB 21060 Osnabrück · 2003
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Berkenkamp Verwaltungs GmbH GmbH · HRB 210965 Osnabrück · 1996
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BETEX-GmbH GmbH · HRB 18676 Osnabrück · 1998
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Biotech-PrO Verwaltungsgesellschaft mbH GmbH · HRB 21795 Osnabrück · 2005
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Boka Energy GmbH GmbH · HRB 210789 Osnabrück · 2006
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CKM-Bau Verwaltungs GmbH GmbH · HRB 207003 Osnabrück · 2013
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Combi-Syst Vertriebs GmbH GmbH · HRB 16145 Osnabrück · 2006
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CSG Catering und Service GmbH GmbH · HRB 18377 Osnabrück · 1997
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CTK Computer Technik Kowalewsky Gesellschaft mit beschränkter Haftung GmbH · HRB 15981 Osnabrück · 1988
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Deutsch Kroner Heimathaus Bad Essen Beteiligungsgesellschaft mit beschränkter Haftung GmbH · HRB 1999 Osnabrück · 1906
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Dirk Hesse Transporte GmbH GmbH · HRB 21723 Osnabrück · 2005
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E. Bockbreder GmbH, Dach - Wand - Abdichtungen GmbH · HRB 15466 Osnabrück · 1985
ee3191de54…

All industries in Bad Essen

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

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