Engineering activities for technical building equipment companies in Bremen

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

148 companies · 21–40 of 148

CALTECH Gesellschaft für Kälte- und Klimatechnik mbH GmbH · HRB 15916 Bremen · 2005
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Cavetron Verwaltungs- und Beteiligungs-GmbH GmbH · HRB 27778 Bremen · 2012
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CH Engineering GmbH GmbH · HRB 25615 Bremen · 2009
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CHS Spezialcontainer - Shelter and Engineering GmbH GmbH · HRB 22405 Bremen · 2005
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CIMS Communications & Information Management Systems GmbH GmbH · HRB 23529 Bremen · 1998
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Cordes Architekten + Ingenieure GmbH GmbH · HRB 28064 Bremen · 2012
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D & D Gebäudetechnik GmbH GmbH · HRB 24651 Bremen · 2008
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Delinkt Technology GmbH GmbH · HRB 37016 Bremen · 2021
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Dennerlein Förder- und Lagertechnik GmbH GmbH · HRB 17365 Bremen · 2005
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Dennerlein GmbH GmbH · HRB 22068 Bremen · 2005
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Deutsche Offshore Consult GmbH GmbH · HRB 25763 Bremen · 2009
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Diplom-Ingenieur Punke e.K. Inhaber Marc Punke e.K. · HRA 14687 Bremen · 2005
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Donkor Engineering GmbH GmbH · HRB 29926 Bremen · 2012
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E+R BAU UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 41293 Bremen · 2025
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E-E-S (Energie - Effizienz - Solution) UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 40971 Bremen · 2024
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E. M. B. Elektromontagebau und Ingenieurbüro GmbH GmbH · HRB 10697 Bremen · 2005
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Ecotec GmbH GmbH · HRB 22765 Bremen · 2005
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Electrical Engineering Services GmbH GmbH · HRB 31294 Bremen · 2016
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Elektro-Planungs-Gesellschaft mit beschränkter Haftung GmbH · HRB 4364 Bremen · 2005
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ELMIN ENERGIE GmbH GmbH · HRB 34933 Bremen · 2019
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All industries in Bremen

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&skip=20

&filters={"city":"Bremen","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": "Bremen",
        "industry_code": "71.12.3",
        "industry_scheme": "WZ2025"
    },
    limit=20,
    skip=20,
)
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": "Bremen",
      "industry_code": "71.12.3",
      "industry_scheme": "WZ2025"
  },
  limit: 20,
  skip: 20,
});
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": "Bremen",
        "industry_code": "71.12.3",
        "industry_scheme": "WZ2025"
    },
    limit: 20,
    skip: 20,
  });
  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&skip=20' \
  -H 'x-api-key: YOUR_API_KEY' \
  -G --data-urlencode 'filters={"city":"Bremen","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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