Mining of hard coal companies in Berlin

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

61 companies · 41–60 of 61

Scharnhorst6/WE33 eGbR GsR 2591 Charlottenburg (Berlin) (Berlin) · 2024
4b93e677d9…
Schierbaum Verwaltungs KG HRA 64055 Charlottenburg (Berlin) (Berlin) · 2025
95af70b26b…
Schierker Str. 19 eGbR GsR 382 Charlottenburg (Berlin) (Berlin) · 2024
eee7fe8729…
SHG Stein & Haus Grundbesitz GmbH & Co KG HRA 35911 Charlottenburg (Berlin) (Berlin) · 2004
9f8d8c6d25…
SKW 23 BG GmbH & Co. KG HRA 51127 Charlottenburg (Berlin) (Berlin) · 2015
2e626f4f26…
Spitzkuppe OHG HRA 43184 Charlottenburg (Berlin) (Berlin) · 2009
9ad50bd85f…
Steinhaus Berlin OHG HRA 48032 Charlottenburg (Berlin) (Berlin) · 2013
9c1b3a9451…
Strempel eGbR GsR 2270 Charlottenburg (Berlin) (Berlin) · 2024
c0fe27ff3d…
Strippgen eGbR GsR 2439 Charlottenburg (Berlin) (Berlin) · 2024
96f3af337a…
TecHard Steingräber e.K. HRA 36527 Charlottenburg (Berlin) (Berlin) · 2005
6c48eaa806…
TECHMONT e.K. HRA 30120 Charlottenburg (Berlin) (Berlin) · 2004
d02f1d1100…
TERRASol Consult Weitkowitz e.K. HRA 33179 Charlottenburg (Berlin) (Berlin) · 2005
d681251668…
Theist Schatt een UG (haftungsbeschränkt) & Co. KG HRA 59661 Charlottenburg (Berlin) (Berlin) · 2022
1c242d7f85…
Thesenvitz GmbH & Co. KG HRA 29629 Charlottenburg (Berlin) (Berlin) · 2005
80d36f85b0…
Titan Homburg GmbH & Co. KG HRA 56019 Charlottenburg (Berlin) (Berlin) · 2019
1edeaa3ca3…
TKS Schmidt GmbH & Co. GmbH & Co. KG · HRA 24068 Charlottenburg (Berlin) (Berlin) · 2005
bc207b48cd…
Troiwerth Ertragen GmbH & Co. KG HRA 63637 Charlottenburg (Berlin) (Berlin) · 2024
559579b295…
TSH Commons Berlin GmbH & Co. KG HRA 57041 Charlottenburg (Berlin) (Berlin) · 2018
1da20133dc…
WKA Gersdorf GmbH & Co. KG HRA 59655 Charlottenburg (Berlin) (Berlin) · 2022
5c2a5ac83b…
WKA Rossau GmbH & Co. KG HRA 60538 Charlottenburg (Berlin) (Berlin) · 2022
cfe5af7076…

All industries in Berlin

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&skip=40

&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=40,
)
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: 40,
});
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: 40,
  });
  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=40' \
  -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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