General cleaning of buildings companies in Offenbach am Main

Offenbach am Main ·Currently listed companies in the General cleaning of buildings industry headquartered in Offenbach am Main.

103 companies · 1–20 of 103

28CleanRabbit Clean Service & Facility Management UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 56657 Offenbach am Main · 2024
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A.S. Haustechnik UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 48704 Offenbach am Main · 2015
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AGD-GEBÄUDEREINIGUNGS- UND DIENSTLEISTUNGS GmbH GmbH · HRB 41466 Offenbach am Main · 2000
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AKTIV Gebäudemanagement und Dienstleistungen e.K. e.K. · HRA 41422 Offenbach am Main · 2010
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BB Clean Service GmbH GmbH · HRB 44024 Offenbach am Main · 2009
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BD-Dienstleistungs GmbH GmbH · HRB 52240 Offenbach am Main · 2019
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BE Dienstleistungs GmbH GmbH · HRB 58219 Offenbach am Main · 2025
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BE-PROFFICO GMBH GmbH · HRB 57878 Offenbach am Main · 2020
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BELLATRIX GmbH GmbH · HRB 58428 Offenbach am Main · 2025
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BHST GmbH GmbH · HRB 57754 Offenbach am Main · 2023
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Blitz Gebäudedienste e. K. e.K. · HRA 43565 Offenbach am Main · 2025
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Clean Fresh Dienstleistungen GmbH GmbH · HRB 47608 Offenbach am Main · 2014
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Clean Power and More GmbH GmbH · HRB 43210 Offenbach am Main · 2008
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Clean Team Service GmbH GmbH · HRB 49768 Offenbach am Main · 2017
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Clean Team UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 49375 Offenbach am Main · 2012
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Compact Hotelreinigung GmbH GmbH · HRB 56934 Offenbach am Main · 2019
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ContraX Personal Dienstleistungen GmbH GmbH · HRB 56001 Offenbach am Main · 2011
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CSG GmbH GmbH · HRB 57738 Offenbach am Main · 2025
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CSS GmbH GmbH · HRB 57007 Offenbach am Main · 2023
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D & M Dienstleistungen UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 56714 Offenbach am Main · 2024
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All industries in Offenbach am Main

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

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