General cleaning of buildings companies in Marl

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

14 companies

AKG Adiküzel Gebäudereinigung UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 19094 Gelsenkirchen · 2025
7b1239a85d…
ANKACLEAN Gebäudereinigung & Dienstleistungen GmbH GmbH · HRB 17308 Gelsenkirchen · 2022
3634daffda…
C & M Bau GmbH UG (haftungsbeschränkt) · HRB 19113 Gelsenkirchen · 2025
2333827561…
Eckwave GmbH GmbH · HRB 18040 Gelsenkirchen · 2021
59e76b0e9b…
Ecoclean Gebäudereinigungs- und Dienstleistungs GmbH GmbH · HRB 17935 Gelsenkirchen · 1995
4269375c65…
Effektiv Gebäudereinigung GmbH GmbH · HRB 15714 Gelsenkirchen · 2020
6c7f186a45…
Gebäudereinigung H.O.R.A. UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 18609 Gelsenkirchen · 2024
00f6d1b9ce…
H. Braun Gebäudereinigungs- und Dienstleistungs-GmbH GmbH · HRB 6073 Gelsenkirchen · 1987
8905ec3110…
HF Service GmbH GmbH · HRB 19768 Gelsenkirchen · 2026
609bf5cc3d…
KKRN-Service GmbH GmbH · HRB 9479 Gelsenkirchen · 2008
36144aae67…
Reinigung Jetzt UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 18999 Gelsenkirchen · 2025
4230280f14…
Royal Hüls Time UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 13382 Gelsenkirchen · 2016
f850ec87eb…
TAK Dienstleistungen GmbH GmbH · HRB 18812 Gelsenkirchen · 2025
e7dfbb2292…
WKM Gebäudeservice GmbH GmbH · HRB 19600 Gelsenkirchen · 2026
f1b0d37792…

All industries in Marl

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&filters={"city":"Marl","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": "Marl",
        "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": "Marl",
      "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": "Marl",
        "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":"Marl","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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