Engineering activities for technical building equipment companies in Bad Homburg vor der Höhe

Bad Homburg vor der Höhe ·Currently listed companies in the Engineering activities for technical building equipment industry headquartered in Bad Homburg vor der Höhe.

24 companies · 1–20 of 24

ATM Anlagen Technik und Maschinenbau GmbH HRB 6726 Bad Homburg (Bad Homburg vor der Höhe) · 1999
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ATREMIS Ingenieurgesellschaft mbH GmbH · HRB 9322 Bad Homburg (Bad Homburg vor der Höhe) · 2003
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Belcont GmbH HRB 17174 Bad Homburg (Bad Homburg vor der Höhe) · 2023
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DelCon GmbH HRB 9690 Bad Homburg (Bad Homburg vor der Höhe) · 2004
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Endreß Ingenieurgesellschaft mbH Brandschutzsachverständige GmbH · HRB 15700 Bad Homburg (Bad Homburg vor der Höhe) · 2009
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Ergosign MEP GmbH & Co. KG HRA 6113 Bad Homburg (Bad Homburg vor der Höhe) · 2020
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FM floc GmbH HRB 11817 Bad Homburg (Bad Homburg vor der Höhe) · 2010
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FUSION-Engineering GmbH HRB 14325 Bad Homburg (Bad Homburg vor der Höhe) · 2018
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Geck Vodanovic GmbH HRB 14396 Bad Homburg (Bad Homburg vor der Höhe) · 2018
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hsp.architekten Planungsgesellschaft mbH GmbH · HRB 13276 Bad Homburg (Bad Homburg vor der Höhe) · 2015
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ICCE GmbH HRB 17267 Bad Homburg (Bad Homburg vor der Höhe) · 2021
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IN- Ausbau GmbH HRB 10166 Bad Homburg (Bad Homburg vor der Höhe) · 2005
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Incoor Industriekoordination GmbH HRB 3956 Bad Homburg (Bad Homburg vor der Höhe) · 1989
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IQUBEHAUS GmbH HRB 17006 Bad Homburg (Bad Homburg vor der Höhe) · 2012
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JAGER Technologie GmbH HRB 5217 Bad Homburg (Bad Homburg vor der Höhe) · 1994
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Kbris-Technology GmbH HRB 14277 Bad Homburg (Bad Homburg vor der Höhe) · 2018
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Medzech Ingenieure GmbH HRB 6001 Bad Homburg (Bad Homburg vor der Höhe) · 1997
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NexiHome AG HRB 123001 Frankfurt am Main (Frankfurt) · 2021
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Optinet GmbH HRB 15410 Bad Homburg (Bad Homburg vor der Höhe) · 2020
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PPE GmbH HRB 17255 Bad Homburg (Bad Homburg vor der Höhe) · 2025
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All industries in Bad Homburg vor der Höhe

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&filters={"city":"Bad Homburg vor der Höhe","industry_code":"71.12.3","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 Homburg vor der Höhe",
        "industry_code": "71.12.3",
        "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 Homburg vor der Höhe",
      "industry_code": "71.12.3",
      "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 Homburg vor der Höhe",
        "industry_code": "71.12.3",
        "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 Homburg vor der Höhe","industry_code":"71.12.3","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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