Engineering activities for technical building equipment companies in Frankfurt am Main

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

178 companies · 1–20 of 178

4Quadrant UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 137741 Frankfurt am Main (Frankfurt) · 2025
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a 5 Planung GmbH GmbH · HRB 56718 Frankfurt am Main (Frankfurt) · 2003
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a5+ GmbH GmbH · HRB 140309 Frankfurt am Main (Frankfurt) · 2025
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ABEC GmbH GmbH · HRB 134509 Frankfurt am Main (Frankfurt) · 2024
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Abt-System GmbH GmbH · HRB 97133 Frankfurt am Main (Frankfurt) · 2013
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Actemium Cegelec GmbH GmbH · HRB 77473 Frankfurt am Main (Frankfurt) · 1996
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Actemium Large Projects GmbH GmbH · HRB 120915 Frankfurt am Main (Frankfurt) · 2020
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Actemium Mechatronic GmbH GmbH · HRB 128759 Frankfurt am Main (Frankfurt) · 1997
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AHM GmbH GmbH · HRB 141610 Frankfurt am Main (Frankfurt) · 2026
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albert.ing GmbH GmbH · HRB 104561 Frankfurt am Main (Frankfurt) · 2016
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ALTEN GLOBAL TECHNOLOGIES GmbH GmbH · HRB 115665 Frankfurt am Main (Frankfurt) · 2019
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AMPERA Services GmbH GmbH · HRB 129715 Frankfurt am Main (Frankfurt) · 2023
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amplan - Ingenieur GmbH GmbH · HRB 25385 Frankfurt am Main (Frankfurt) · 1985
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Aris Verwaltungs GmbH GmbH · HRB 118900 Frankfurt am Main (Frankfurt) · 2020
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Aron MEP GmbH & Co. KG GmbH & Co. KG · HRA 49928 Frankfurt am Main (Frankfurt) · 2017
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Atmosbox GmbH GmbH · HRB 140383 Frankfurt am Main (Frankfurt) · 2017
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AVK Standby (Germany) GmbH GmbH · HRB 265895 München (Munich) · 2021
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AWO-HS-Energie-GmbH GmbH · HRB 109264 Frankfurt am Main (Frankfurt) · 2017
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be.spoke GmbH GmbH · HRB 113284 Frankfurt am Main (Frankfurt) · 2018
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Beiersdorf und Herzhauser Planung GmbH für Elektro und Fördertechnik GmbH · HRB 24720 Frankfurt am Main (Frankfurt) · 1984
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All industries in Frankfurt am Main

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&filters={"city":"Frankfurt 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": "Frankfurt 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": "Frankfurt 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": "Frankfurt 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":"Frankfurt 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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