Engineering activities for technical building equipment companies in Hameln

Hameln ·Currently listed companies in the Engineering activities for technical building equipment industry headquartered in Hameln.

14 companies

AME-TECHNIK Arendt, Mildner & Evers Gesellschaft mit beschränkter Haftung GmbH · HRB 100126 Hannover (Hanover) · 1980
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ATH Automatisierung und Anlagentechnik Hameln GmbH GmbH · HRB 102452 Hannover (Hanover) · 1996
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Baco-Plan Gesellschaft mit beschränkter Haftung GmbH · HRB 101713 Hannover (Hanover) · 2003
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Bertuleit & Bökenkröger GmbH. GmbH · HRB 100112 Hannover (Hanover) · 1979
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Forgom Deutschland GmbH GmbH · HRB 206176 Hannover (Hanover) · 2010
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ibs Ing.-Büro Schinke GmbH GmbH · HRB 202580 Hannover (Hanover) · 2008
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IGEBA Ingenieur-Gesellschaft für Gebäudeautomatisierung mbH GmbH · HRB 100652 Hannover (Hanover) · 2006
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IMT Technology GmbH GmbH · HRB 202636 Hannover (Hanover) · 2008
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Ingenieurgesellschaft für Gebäudeautomation mbH GmbH · HRB 100249 Hannover (Hanover) · 1986
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medoplan projekt GmbH GmbH · HRB 228560 Hannover (Hanover) · 2025
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PI Partnertechnik International GmbH GmbH · HRB 227648 Hannover (Hanover) · 2024
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Rama-Elektroanlagen GmbH GmbH · HRB 213618 Hannover (Hanover) · 2016
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Sachverstand Dipl.-Ing. A.Derks UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 204493 Hannover (Hanover) · 2009
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Zacharias Gebäudetechnik GmbH GmbH · HRB 100140 Hannover (Hanover) · 1980
efe9595310…

All industries in Hameln

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&filters={"city":"Hameln","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": "Hameln",
        "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": "Hameln",
      "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": "Hameln",
        "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":"Hameln","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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