General cleaning of buildings companies in Kerpen

Kerpen ·Currently listed companies in the General cleaning of buildings industry headquartered in Kerpen.

15 companies

A & S Glas- & Gebäudereinigung GmbH GmbH · HRB 99781 Köln (Cologne) · 2019
7870cfd7ef…
Antonette Junggeburth GmbH GmbH · HRB 42188 Köln (Cologne) · 1992
98a4362e6a…
ArHo Facility Management UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 122742 Köln (Cologne) · 2025
ff1b4a8700…
BK InTec GmbH GmbH · HRB 95210 Köln (Cologne) · 2018
a2628653ee…
BOSE CLEAN GmbH GmbH · HRB 121391 Köln (Cologne) · 2024
69f774dc43…
Carlos Lourenco GmbH GmbH · HRB 113259 Köln (Cologne) · 2023
f6f7ead93b…
ERFT Facilitymanagement e.K. e.K. · HRA 29723 Köln (Cologne) · 2013
7ab5a74253…
ErftWorxx UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 115022 Köln (Cologne) · 2023
fdc46fd98d…
INDUTEC Industrie- und Reinigungsservice GmbH GmbH · HRB 82682 Köln (Cologne) · 2013
106c8bcfea…
Indutec Industrieservice GmbH GmbH · HRB 41721 Köln (Cologne) · 1973
e2410ab600…
Indutec Service und Dienstleistungs GmbH GmbH · HRB 74404 Köln (Cologne) · 2012
99d680050a…
MCS (Mert Cleaning Service) e.K. e.K. · HRA 34380 Köln (Cologne) · 2019
c106a141c4…
Petsch Facility Services GmbH GmbH · HRB 100473 Köln (Cologne) · 2020
38b4255be1…
Taxit Gebäudedienstleistungen GmbH GmbH · HRB 99328 Köln (Cologne) · 2019
35150e8048…
Wegner Wasserschadensanierung GmbH GmbH · HRB 95118 Köln (Cologne) · 2018
49f7b510c0…

All industries in Kerpen

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&filters={"city":"Kerpen","industry_code":"81.21.0","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": "Kerpen",
        "industry_code": "81.21.0",
        "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": "Kerpen",
      "industry_code": "81.21.0",
      "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": "Kerpen",
        "industry_code": "81.21.0",
        "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":"Kerpen","industry_code":"81.21.0","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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