Erection of roofs, roof covering and related plumbing work companies in Berlin

Berlin ·Currently listed companies in the Erection of roofs, roof covering and related plumbing work industry headquartered in Berlin.

259 companies · 1–20 of 259

A + H Dachbau UG (haftungsbeschränkt) HRB 219109 Charlottenburg (Berlin) (Berlin) · 2020
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A. Schenk & Scheer GmbH HRB 31601 Charlottenburg (Berlin) (Berlin) · 2004
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Abakus Dachdeckerei Gesellschaft mit beschränkter Haftung GmbH · HRB 43066 Charlottenburg (Berlin) (Berlin) · 2004
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ABD Bedachungen GmbH HRB 158662 Charlottenburg (Berlin) (Berlin) · 2014
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Adams Dachbau UG (haftungsbeschränkt) HRB 259184 Charlottenburg (Berlin) (Berlin) · 2023
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ADS Aktive Dachentwässerung Systeme GmbH HRB 271041 Charlottenburg (Berlin) (Berlin) · 2025
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AiF GmbH HRB 203839 Charlottenburg (Berlin) (Berlin) · 2019
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AIRbau Dachbau GmbH HRB 179459 Charlottenburg (Berlin) (Berlin) · 2016
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AlFa Dachbau UG (haftungsbeschränkt) HRB 218948 Charlottenburg (Berlin) (Berlin) · 2020
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Algie & Weber Dachdeckerei GmbH HRB 67900 Charlottenburg (Berlin) (Berlin) · 2004
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Altenbeck Dachdeckerei GmbH HRB 198169 Charlottenburg (Berlin) (Berlin) · 2017
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AMG Dachbau GmbH HRB 248034 Charlottenburg (Berlin) (Berlin) · 2022
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Andreas Blumenberg und Robert Blum Dachdeckermeister GmbH HRB 87724 Charlottenburg (Berlin) (Berlin) · 2004
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Anja Fischer Bedachungen GmbH HRB 85966 Charlottenburg (Berlin) (Berlin) · 2004
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AS Flachdachtechnik GmbH HRB 264134 Charlottenburg (Berlin) (Berlin) · 2024
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ASB Dachdeckerei GmbH HRB 165823 Charlottenburg (Berlin) (Berlin) · 2015
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Atlas Dachdecker GmbH HRB 244248 Charlottenburg (Berlin) (Berlin) · 2022
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Avant Dachbau GmbH HRB 63530 Charlottenburg (Berlin) (Berlin) · 2004
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Axel Lorenz Dachdeckerei GmbH HRB 28266 Charlottenburg (Berlin) (Berlin) · 2004
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B & B Dachbau GmbH HRB 174924 Charlottenburg (Berlin) (Berlin) · 2016
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All industries in Berlin

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&filters={"city":"Berlin","industry_code":"43.41.1","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": "43.41.1",
        "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": "43.41.1",
      "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": "43.41.1",
        "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":"43.41.1","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