Engineering activities for technical building equipment companies in Cottbus

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

40 companies · 21–40 of 40

Ingenieurbüro PROPLAN GmbH GmbH · HRB 3560 Cottbus (Cottbus - Chóśebuz) · 2005
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Ingenieurbüro Thomas Wallstein GmbH GmbH · HRB 14371 Cottbus (Cottbus - Chóśebuz) · 2019
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Ingenieurbüro Werner, Sauer & Co. GmbH GmbH · HRB 5715 Cottbus (Cottbus - Chóśebuz) · 2005
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Ingenieurgesellschaft für Energie- und Kraftwerkstechnik mbH (IEK) GmbH · HRB 12692 Cottbus (Cottbus - Chóśebuz) · 2016
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INGENIEURSOZIETÄT BAUWESEN ISB eGbR eGbR · GsR 244 Cottbus (Cottbus - Chóśebuz) · 2025
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Integral Projekt GmbH & Co. KG GmbH & Co. KG · HRA 1770 Cottbus (Cottbus - Chóśebuz) · 2006
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Kieschke Haustechnik GmbH GmbH · HRB 4080 Cottbus (Cottbus - Chóśebuz) · 2005
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KNO Engineering GmbH GmbH · HRB 13240 Cottbus (Cottbus - Chóśebuz) · 2017
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MCR Engineering Lausitz GmbH GmbH · HRB 15797 Cottbus (Cottbus - Chóśebuz) · 2021
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plan M3 GmbH GmbH · HRB 865 Cottbus (Cottbus - Chóśebuz) · 2005
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PROTECH GmbH GmbH · HRB 12511 Cottbus (Cottbus - Chóśebuz) · 2016
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SD-CB UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 11559 Cottbus (Cottbus - Chóśebuz) · 2014
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SHK SYSTEM PLAN GmbH Cottbus GmbH · HRB 1536 Cottbus (Cottbus - Chóśebuz) · 2005
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SIEGERT INGENIEURE GmbH & Co. KG GmbH & Co. KG · HRA 3164 Cottbus (Cottbus - Chóśebuz) · 2016
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Siegert Verwaltungs GmbH GmbH · HRB 12395 Cottbus (Cottbus - Chóśebuz) · 2016
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SMT UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 9282 Cottbus (Cottbus - Chóśebuz) · 2012
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Stöber GmbH & Co. Planen und Bauen KG GmbH & Co. KG · HRA 724 Cottbus (Cottbus - Chóśebuz) · 2005
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taww GmbH GmbH · HRB 18013 Cottbus (Cottbus - Chóśebuz) · 2024
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TBS Montage GmbH GmbH · HRB 13381 Cottbus (Cottbus - Chóśebuz) · 2018
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TecPort.One GmbH GmbH · HRB 16870 Cottbus (Cottbus - Chóśebuz) · 2023
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All industries in Cottbus

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&skip=20

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