Mining of hard coal companies in Berlin

Berlin ·Currently listed companies in the Mining of hard coal industry headquartered in Berlin.

61 companies · 21–40 of 61

HARZ I GmbH & Co. KG HRA 55830 Charlottenburg (Berlin) (Berlin) · 2019
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HE Mettewiesen Schönefeld GmbH & Co. KG HRA 63520 Charlottenburg (Berlin) (Berlin) · 2024
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Heim Krönke eGbR GsR 1260 Charlottenburg (Berlin) (Berlin) · 2024
3b9781f658…
Hermann Stottrop & Söhne KG HRA 9249 Charlottenburg (Berlin) (Berlin) · 2005
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Karlsbad - Grund eGbR GsR 521 Charlottenburg (Berlin) (Berlin) · 2024
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KaRo Freiberg GmbH & Co. KG HRA 53709 Charlottenburg (Berlin) (Berlin) · 2017
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Klinger Kohlen Berlin Hugo Klinger Nachfolger Offene Handelsgesellschaft OHG · HRA 6757 Charlottenburg (Berlin) (Berlin) · 2005
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Kluge & Schulze, Schlacken- und Eisenaufbereitung Kommanditgesellschaft KG · HRA 15502 Charlottenburg (Berlin) (Berlin) · 2005
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KolbeckHC eGbR GsR 341 Charlottenburg (Berlin) (Berlin) · 2024
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Kuhlgrund eGbR GsR 3385 Charlottenburg (Berlin) (Berlin) · 2025
352734b594…
Langhaus Königsberg eGbR GsR 3215 Charlottenburg (Berlin) (Berlin) · 2025
fb0edbadbd…
mansfeld project gmbh & Co. Türkeistraße 5 KG GmbH & Co. KG · HRA 42744 Charlottenburg (Berlin) (Berlin) · 2009
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MBG Trachau GmbH & Co. KG HRA 59574 Charlottenburg (Berlin) (Berlin) · 2007
ee3184d278…
Minas Leipzig-Core GmbH & Co KG HRA 48702 Charlottenburg (Berlin) (Berlin) · 2013
07bc06b049…
Minas Uhland eGbR GsR 3495 Charlottenburg (Berlin) (Berlin) · 2025
24cd5bb397…
Minas Uhland eGbR GsR 3495 Charlottenburg (Berlin) (Berlin) · 2025
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PV Steiggehau GmbH & Co. KG HRA 65192 Charlottenburg (Berlin) (Berlin) · 2024
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Rahan Titan Simmerath GmbH & Co. KG HRA 52057 Charlottenburg (Berlin) (Berlin) · 2016
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RE.source Pink Koala GmbH & Co. KG HRA 60430 Charlottenburg (Berlin) (Berlin) · 2022
b404da3861…
RO 2 GmbH & Co. KG HRA 35693 Charlottenburg (Berlin) (Berlin) · 2004
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All industries in Berlin

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&skip=20

&filters={"city":"Berlin","industry_code":"05.10.0","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": "05.10.0",
        "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": "Berlin",
      "industry_code": "05.10.0",
      "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": "Berlin",
        "industry_code": "05.10.0",
        "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":"Berlin","industry_code":"05.10.0","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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