Computer consultancy activities companies in Bad Zwischenahn

Bad Zwischenahn ·Currently listed companies in the Computer consultancy activities industry headquartered in Bad Zwischenahn.

20 companies

B.IT.S. IT Dienstleistungen UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 214485 Oldenburg · 2013
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BRENDES DATENTECHNIK Dr. Martin Brendes e. K. e.K. · HRA 202926 Oldenburg · 2011
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BSB EDV-Beratungsgesellschaft mbH GmbH · HRB 130233 Oldenburg · 1990
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Byte Connect GmbH GmbH · HRB 202571 Oldenburg · 2008
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Cynox GmbH GmbH · HRB 120833 Oldenburg · 1998
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E N I A C Gesellschaft für Informationstechnologien mbH GmbH · HRB 4006 Oldenburg · 1993
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eCOM-Informationssysteme UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 215953 Oldenburg · 2020
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Mediamus GmbH GmbH · HRB 210637 Oldenburg · 2016
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MM Software Consulting GmbH GmbH · HRB 207310 Oldenburg · 2012
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PhinQ GmbH GmbH · HRB 218731 Oldenburg · 2022
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PlasmaMEDI GmbH GmbH · HRB 221248 Oldenburg · 2024
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Rene Levermann Consulting e. K. e.K. · HRA 206523 Oldenburg · 2020
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Rhein technology UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 210199 Oldenburg · 2015
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ROCtecs GmbH GmbH · HRB 214060 Oldenburg · 2019
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Schneeweiss IT UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 213155 Oldenburg · 2018
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System4 GmbH GmbH · HRB 121112 Oldenburg · 1989
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SYSTEM4 Intermedia GmbH GmbH · HRB 121117 Oldenburg · 2005
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van Bürk Datentechnik GmbH GmbH · HRB 213764 Oldenburg · 2000
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wecome Weser-Ems Computer Management und Entwicklung GmbH GmbH · HRB 151305 Oldenburg · 1999
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wecome Weser-Ems Computer Management und Entwicklung GmbH GmbH · HRB 151305 Oldenburg · 1999
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All industries in Bad Zwischenahn

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&filters={"city":"Bad Zwischenahn","industry_code":"62.20.1","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": "Bad Zwischenahn",
        "industry_code": "62.20.1",
        "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": "Bad Zwischenahn",
      "industry_code": "62.20.1",
      "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": "Bad Zwischenahn",
        "industry_code": "62.20.1",
        "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":"Bad Zwischenahn","industry_code":"62.20.1","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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