Activities of holding companies companies in Klingenberg am Main

Klingenberg am Main ·Currently listed companies in the Activities of holding companies industry headquartered in Klingenberg am Main.

18 companies

Celbar Invest SE SE · HRB 17170 Aschaffenburg · 2023
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Georg Nickles Beteiligungs- und Verwaltungs-GmbH GmbH · HRB 6750 Aschaffenburg · 1997
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HEMA Vermögensverwaltungsgesellschaft mbH GmbH · HRB 12281 Aschaffenburg · 2012
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Joachim Nickles Beteiligungs- und Verwaltungs- GmbH GmbH · HRB 6751 Aschaffenburg · 1997
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Kachel Gesellschaft mit beschränkter Haftung GmbH · HRB 6059 Aschaffenburg · 1959
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Kilian Holland GmbH & Co. KG GmbH & Co. KG · HRA 5408 Aschaffenburg · 2014
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Kilian Holland Verwaltungs-GmbH GmbH · HRB 12892 Aschaffenburg · 2014
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LANTech Informationstechnik GmbH GmbH · HRB 5858 Aschaffenburg · 1995
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Michel Bau Verwaltungs GmbH GmbH · HRB 16288 Aschaffenburg · 2021
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Nickles Beteiligungs- und Verwaltungs-GmbH GmbH · HRB 5346 Aschaffenburg · 1903
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Nikoon GmbH GmbH · HRB 15817 Aschaffenburg · 2020
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STÄDTISCHE BAU- UND WOHNUNGSGESELLSCHAFT KLINGENBERG A. MAIN Gesellschaft mit beschränkter Haftung GmbH · HRB 5000 Aschaffenburg · 1992
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WIKA Alexander Wiegand Beteiligungs-Gesellschaft mit beschränkter Haftung GmbH · HRB 306 Aschaffenburg · 1970
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WIKA Beteiligungs-SE SE · HRB 17106 Aschaffenburg · 2022
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WIKA Gesellschaft mit beschränkter Haftung GmbH · HRB 8178 Aschaffenburg · 2000
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WIKA INTEC GmbH GmbH · HRB 102208 Stendal · 1999
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WIKA International SE SE · HRB 10505 Aschaffenburg · 2006
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Winzerstube Wengerter Verwaltungs GmbH GmbH · HRB 13119 Aschaffenburg · 2014
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All industries in Klingenberg am Main

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&filters={"city":"Klingenberg am Main","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": "Klingenberg am Main",
        "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": "Klingenberg am Main",
      "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": "Klingenberg am Main",
        "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":"Klingenberg am Main","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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