Computer consultancy activities companies in Hofheim am Taunus

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

55 companies · 1–20 of 55

2TIL International UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 110628 Frankfurt am Main (Frankfurt) · 2018
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AppConceptionOne GmbH GmbH · HRB 220089 Charlottenburg (Berlin) (Berlin) · 2020
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Artificy GmbH GmbH · HRB 133256 Frankfurt am Main (Frankfurt) · 2023
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Bravo GmbH GmbH · HRB 131911 Frankfurt am Main (Frankfurt) · 2017
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CleanTech Capital GmbH GmbH · HRB 133828 Charlottenburg (Berlin) (Berlin) · 2011
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CloudElventum GmbH GmbH · HRB 138141 Frankfurt am Main (Frankfurt) · 2025
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Connect Good Things UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 135893 Frankfurt am Main (Frankfurt) · 2024
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Cosmo Consult LS GmbH GmbH · HRB 204761 Charlottenburg (Berlin) (Berlin) · 2019
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Crisis GSG Solutions UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 130946 Frankfurt am Main (Frankfurt) · 2023
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Cyntegrity Germany GmbH GmbH · HRB 98457 Frankfurt am Main (Frankfurt) · 2014
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de.systems GmbH GmbH · HRB 135886 Frankfurt am Main (Frankfurt) · 2023
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Deufol Services & IT GmbH GmbH · HRB 77166 Frankfurt am Main (Frankfurt) · 2006
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Die Archivisten GmbH GmbH · HRB 78280 Frankfurt am Main (Frankfurt) · 2003
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dksystems AG AG · HRB 45041 Offenbach am Main · 2010
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Expertskill GmbH GmbH · HRB 90845 Frankfurt am Main (Frankfurt) · 2011
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exxonit GmbH GmbH · HRB 91309 Frankfurt am Main (Frankfurt) · 2011
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Financialbot.com AG AG · HRB 139722 Frankfurt am Main (Frankfurt) · 2000
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Foxcon GmbH, Gesellschaft für IT-, Management- und Marketing-Consulting GmbH · HRB 57100 Frankfurt am Main (Frankfurt) · 2000
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GeRe IT-Services UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 87069 Frankfurt am Main (Frankfurt) · 2009
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HiPo Consulting GmbH GmbH · HRB 92117 Frankfurt am Main (Frankfurt) · 2011
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All industries in Hofheim am Taunus

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&filters={"city":"Hofheim 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": "Hofheim 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": "Hofheim 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": "Hofheim 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":"Hofheim 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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