Engineering activities for technical building equipment companies in Offenbach am Main

Offenbach am Main ·Currently listed companies in the Engineering activities for technical building equipment industry headquartered in Offenbach am Main.

21 companies · 1–20 of 21

ALLGETEC GmbH GmbH · HRB 48691 Offenbach am Main · 2015
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bpe Bau-Planung und Engineering GmbH GmbH · HRB 52412 Offenbach am Main · 2011
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Dobberstein Realisierungsmanagement GmbH GmbH · HRB 52561 Offenbach am Main · 2018
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EARM GmbH GmbH · HRB 54573 Offenbach am Main · 2022
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Energy Engine UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 57359 Offenbach am Main · 2024
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ETB GmbH GmbH · HRB 54045 Offenbach am Main · 2021
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Flash Elektrobau GmbH GmbH · HRB 51348 Offenbach am Main · 2018
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FlexLink Systems GmbH GmbH · HRB 33984 Offenbach am Main · 2002
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Gohl TGA Ingenieure GmbH GmbH · HRB 41135 Offenbach am Main · 2004
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Hermann Ingenieure GmbH GmbH · HRB 52160 Offenbach am Main · 2019
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HLS PlanWerk GmbH GmbH · HRB 7470 Offenbach am Main · 1990
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Honeywell Building Solutions GmbH GmbH · HRB 10688 Offenbach am Main · 2002
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HSP Dipl.-Ing. Joachim Riedel e.K. e.K. · HRA 41029 Offenbach am Main · 2008
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IPS Engineering GmbH GmbH · HRB 6353 Bad Homburg (Bad Homburg vor der Höhe) · 1998
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iwo Pellet Rhein - Main GmbH GmbH · HRB 42249 Offenbach am Main · 2006
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Jochen Schäfer Technische Planungsgesellschaft mbH GmbH · HRB 8210 Offenbach am Main · 1991
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RÖSLER ENGINEERING GmbH GmbH · HRB 52627 Offenbach am Main · 2020
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Stadler GmbH GmbH · HRB 12499 Offenbach am Main · 2002
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Stadler Interior Services GmbH GmbH · HRB 45457 Offenbach am Main · 2011
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T-KON Gesellschaft für Beratung, Planung und Konstruktion von sicherheitstechnischen Anlagensystemen mit beschränkter Haftung GmbH · HRB 45608 Offenbach am Main · 1991
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All industries in Offenbach am Main

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&filters={"city":"Offenbach am Main","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": "Offenbach am Main",
        "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": "Offenbach am Main",
      "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": "Offenbach am Main",
        "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":"Offenbach am Main","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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