General cleaning of buildings companies in Oldenburg (Oldb.)

Oldenburg (Oldb.) ·Currently listed companies in the General cleaning of buildings industry headquartered in Oldenburg (Oldb.).

27 companies · 1–20 of 27

A und A UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 221932 Oldenburg · 2025
ada7ee17c9…
B.L.S Belin Logistikservice GmbH GmbH · HRB 219297 Oldenburg · 2023
01ac4cc44c…
Bernhard Barth & Sohn Gebäudereinigungsgesellschaft mbH GmbH · HRB 596 Oldenburg · 1976
6d829ef839…
BÜFA Cleaning GmbH & Co. KG GmbH & Co. KG · HRA 154 Oldenburg · 1864
8c3bc7b96c…
Cleaniq Hospital-Service-Oldenburg GmbH GmbH · HRB 5224 Oldenburg · 2002
9a793c2978…
cms perfect clean GmbH GmbH · HRB 4810 Oldenburg · 2001
fe5cfeda70…
CST Dienstleistungen GmbH GmbH · HRB 208494 Oldenburg · 2014
58e8d46cd4…
Dienstleistung Neumann GmbH GmbH · HRB 215440 Oldenburg · 2020
cd137d1dbb…
Dieter Rank Reinigungstechnik + Bautenschutz, Inh. Jochen Multhaupt e.K. e.K. · HRA 4312 Oldenburg · 2005
ea81f5d8f5…
DOLM GmbH GmbH · HRB 209622 Oldenburg · 2015
eddba9bf85…
Gebäudemanagement R + B Oldenburg GmbH GmbH · HRB 4933 Oldenburg · 2001
181878ad2c…
Gebäudereinigung Blitz-Blank Arthur Kühne HRA 62 Oldenburg · 1956
bee19d9055…
Gebäudereinigung Glasfein UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 216486 Oldenburg · 2021
aeacca7c8c…
Gebäudereinigung Wilhelm Kühne GmbH & Co. KG GmbH & Co. KG · HRA 1483 Oldenburg · 1968
79d0edfdb6…
Gehweg-Reinigung-Oldenburg GmbH & Co. KG GmbH & Co. KG · HRA 204578 Oldenburg · 2015
0725af8dbf…
Heinrich v. d. Pütten Gebäudereinigungs GmbH & Co. KG GmbH & Co. KG · HRA 3382 Oldenburg · 1997
367c637a8a…
JESSIX UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 221067 Oldenburg · 2024
f27c409d17…
Junker & Meves Kanalsanierungstechnik GmbH GmbH · HRB 120809 Oldenburg · 1998
682735d931…
Junker & Meves Kanalsanierungstechnik GmbH GmbH · HRB 120809 Oldenburg · 1998
9d0838f055…
KGK KLINIK- und GEBÄUDEDIENSTE Kortmann GmbH GmbH · HRB 200203 Oldenburg · 2006
bdb19bc381…

All industries in Oldenburg (Oldb.)

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&filters={"city":"Oldenburg (Oldb.)","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": "Oldenburg (Oldb.)",
        "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": "Oldenburg (Oldb.)",
      "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": "Oldenburg (Oldb.)",
        "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":"Oldenburg (Oldb.)","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

Cookie Settings

Customize Cookie Settings