Construction of industrial facilities, except buildings companies in Berlin

Berlin ·Currently listed companies in the Construction of industrial facilities, except buildings industry headquartered in Berlin.

64 companies · 1–20 of 64

Acero tec GmbH GmbH · HRB 116931 Charlottenburg (Berlin) (Berlin) · 2008
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Aminity GmbH GmbH · HRB 33700 Stendal · 2023
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Aquaton Anlagenbau GmbH GmbH · HRB 117255 Charlottenburg (Berlin) (Berlin) · 2009
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Arvitech Automation GmbH GmbH · HRB 206539 Charlottenburg (Berlin) (Berlin) · 2019
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AZIWE Industrieservice GmbH GmbH · HRB 182541 Charlottenburg (Berlin) (Berlin) · 2016
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Balitchevtseff Edelstahlbau e.K. e.K. · HRA 58952 Charlottenburg (Berlin) (Berlin) · 2021
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BaumaxX Industrie-Service Berlin GmbH GmbH · HRB 182817 Charlottenburg (Berlin) (Berlin) · 2016
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Belmont Industriemontage GmbH GmbH · HRB 96010 Charlottenburg (Berlin) (Berlin) · 2005
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Belmont Service GmbH GmbH · HRB 127137 Charlottenburg (Berlin) (Berlin) · 2010
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BIS-Montagen GmbH GmbH · HRB 27802 Chemnitz · 2012
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C-TECH Rückbau GmbH GmbH · HRB 226096 Charlottenburg (Berlin) (Berlin) · 2021
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CAM Chemieanlagenbau GmbH GmbH · HRB 89838 Charlottenburg (Berlin) (Berlin) · 2004
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CTA Tank und Anlagenbau GmbH Berlin GmbH · HRB 36186 Charlottenburg (Berlin) (Berlin) · 2004
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Dipl.-Ing. Volkmar Röbel GmbH & Co. KG Industriemontage, Personalservice und Baumaschinen- und Containerservice GmbH & Co. KG · HRA 27576 Charlottenburg (Berlin) (Berlin) · 2004
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DITECSA DEUTSCHLAND GmbH GmbH · HRB 167206 Charlottenburg (Berlin) (Berlin) · 2015
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DomCon Limited HRB 108531 Charlottenburg (Berlin) (Berlin) · 2007
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Dr.-Ing. Rack GmbH & Co. Generalübernehmer KG GmbH & Co. KG · HRA 24257 Charlottenburg (Berlin) (Berlin) · 2005
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Dreieck Bauprojekte GmbH GmbH · HRB 92842 Charlottenburg (Berlin) (Berlin) · 2004
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Electisys Germany GmbH GmbH · HRB 142565 Charlottenburg (Berlin) (Berlin) · 2012
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Elektro Kattusch GmbH GmbH · HRB 96480 Charlottenburg (Berlin) (Berlin) · 2005
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All industries in Berlin

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&filters={"city":"Berlin","industry_code":"42.99.1","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": "Berlin",
        "industry_code": "42.99.1",
        "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": "Berlin",
      "industry_code": "42.99.1",
      "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": "Berlin",
        "industry_code": "42.99.1",
        "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":"Berlin","industry_code":"42.99.1","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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