Computer consultancy activities companies in Bad Soden am Taunus

Bad Soden am Taunus ·Currently listed companies in the Computer consultancy activities industry headquartered in Bad Soden am Taunus.

51 companies · 1–20 of 51

Agile For Real IT Consulting GmbH GmbH · HRB 7838 Königstein (Königstein im Taunus) · 2010
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Agile Radicals GmbH GmbH · HRB 10309 Königstein (Königstein im Taunus) · 2019
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Archtexx Consulting GmbH GmbH · HRB 7015 Königstein (Königstein im Taunus) · 2007
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asymmetric GmbH GmbH · HRB 11947 Königstein (Königstein im Taunus) · 2024
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Augustus TechS UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 11835 Königstein (Königstein im Taunus) · 2023
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AUSGemobbt GmbH GmbH · HRB 11281 Königstein (Königstein im Taunus) · 2022
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BOP Consult GmbH GmbH · HRB 2538 Königstein (Königstein im Taunus) · 1985
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CheckCom Deutschland GmbH GmbH · HRB 85819 Frankfurt am Main (Frankfurt) · 2000
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co - minds GmbH GmbH · HRB 10936 Königstein (Königstein im Taunus) · 2021
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CompuSystems GmbH GmbH · HRB 4380 Königstein (Königstein im Taunus) · 1996
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Cordev GmbH GmbH · HRB 9002 Königstein (Königstein im Taunus) · 2015
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DAR Data Analytics & Research GmbH GmbH · HRB 10426 Königstein (Königstein im Taunus) · 2020
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digitransform.de Gesellschaft für digitale Transformation mbH GmbH · HRB 9406 Königstein (Königstein im Taunus) · 2016
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Dr. Eckhardt & Partner GmbH GmbH · HRB 2563 Königstein (Königstein im Taunus) · 1985
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Dr. K. ENTERTAINMENT Consulting GmbH GmbH · HRB 7594 Königstein (Königstein im Taunus) · 1996
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Elysium GmbH GmbH · HRB 11870 Königstein (Königstein im Taunus) · 2024
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Excellent Consulting GmbH GmbH · HRB 9427 Königstein (Königstein im Taunus) · 2006
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ExecuThink Advisory Unternehmergesellschaft (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 12019 Königstein (Königstein im Taunus) · 2024
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Fiplan GmbH GmbH · HRB 2545 Königstein (Königstein im Taunus) · 2003
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FRYD GmbH GmbH · HRB 10472 Königstein (Königstein im Taunus) · 2016
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All industries in Bad Soden am Taunus

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&filters={"city":"Bad Soden am Taunus","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 Soden am Taunus",
        "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 Soden am Taunus",
      "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 Soden am Taunus",
        "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 Soden am Taunus","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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