Activities of holding companies companies in Dannenberg (Elbe)

Dannenberg (Elbe) ·Currently listed companies in the Activities of holding companies industry headquartered in Dannenberg (Elbe).

25 companies · 1–20 of 25

AssProtect GmbH GmbH · HRB 120776 Lüneburg · 2002
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ComfortTable-Computer Aktiengesellschaft AG · HRB 120180 Lüneburg · 1999
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Dannenberger Abschlepp GmbH GmbH · HRB 120122 Lüneburg · 1995
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DVG Decken-Vertriebs-Gesellschaft Tramm mit beschränkter Haftung GmbH · HRB 120130 Lüneburg · 1996
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Elbe-Jeetzel-Klinik Dannenberg GmbH GmbH · HRB 120861 Lüneburg · 2003
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Energiedienstleistungen Dannenberg (Elbe) GmbH GmbH · HRB 120217 Lüneburg · 2001
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Friedrich Lindemann Beteiligungs-GmbH GmbH · HRB 120141 Lüneburg · 1996
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Gemeinnütziger Bauverein Dannenberg eG eG · GnR 120016 Lüneburg · 1919
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H.Dieter Süßmilch Verwaltungs GmbH GmbH · HRB 206611 Lüneburg · 2016
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hagebaumarkt Mölders Dannenberg GmbH GmbH · HRB 120146 Lüneburg · 1997
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Heilpädagogische Wohngruppen Penkefitz Verwaltungs- GmbH GmbH · HRB 205315 Lüneburg · 2015
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MC Websolution UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 212600 Lüneburg · 2025
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PARAGONIA CAPITAL GmbH GmbH · HRB 208925 Lüneburg · 2020
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Pengel Geschäftsführungs-GmbH GmbH · HRB 120854 Lüneburg · 2003
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Pengel GmbH GmbH · HRB 120853 Lüneburg · 2003
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Penkefitzer Grundstücksbeteiligungs GmbH GmbH · HRB 200535 Lüneburg · 2006
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Penkefitzer Grundstücksbeteiligungs GmbH - II GmbH · HRB 203714 Lüneburg · 2012
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perspektive Gemeinnützige Paritätische Gesellschaft für Kinder- und Jugendhilfe mbH GmbH · HRB 120199 Lüneburg · 2000
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RiMaTec GmbH Riskauer Maschinenbautechnik GmbH · HRB 120922 Lüneburg · 2004
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Schönherr REV UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 213507 Lüneburg · 2026
41c9f4a8df…

All industries in Dannenberg (Elbe)

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&filters={"city":"Dannenberg (Elbe)","industry_code":"64.21.0","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": "Dannenberg (Elbe)",
        "industry_code": "64.21.0",
        "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": "Dannenberg (Elbe)",
      "industry_code": "64.21.0",
      "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": "Dannenberg (Elbe)",
        "industry_code": "64.21.0",
        "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":"Dannenberg (Elbe)","industry_code":"64.21.0","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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