Activities of holding companies companies in Neuenhagen bei Berlin

Neuenhagen bei Berlin ·Currently listed companies in the Activities of holding companies industry headquartered in Neuenhagen bei Berlin.

26 companies · 1–20 of 26

Albrecht Holding GmbH & Co. KG HRA 1259 Frankfurt/Oder (Frankfurt (Oder)) · 2005
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BAGANZ Financial Holding UG (haftungsbeschränkt) HRB 254977 Charlottenburg (Berlin) (Berlin) · 2023
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Benefits Cloud GmbH HRB 22226 Frankfurt/Oder (Frankfurt (Oder)) · 2026
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Bernd und Wolfgang Albrecht Verwaltungs-GmbH HRB 7112 Frankfurt/Oder (Frankfurt (Oder)) · 2005
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bumblebee Vermögensverwaltung GmbH HRB 19833 Frankfurt/Oder (Frankfurt (Oder)) · 2023
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Dietrich Unternehmensbeteiligungs GmbH HRB 16685 Frankfurt/Oder (Frankfurt (Oder)) · 2018
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eGbR Rückerstraße 26 Neuenhagen GsR 133 Frankfurt/Oder (Frankfurt (Oder)) · 2024
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FORE Wesel GmbH HRB 160388 Charlottenburg (Berlin) (Berlin) · 2014
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G+P Vermögensverwaltungs UG (haftungsbeschränkt) HRB 17132 Frankfurt/Oder (Frankfurt (Oder)) · 2018
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JOVINIA UG (haftungsbeschränkt) HRB 20738 Frankfurt/Oder (Frankfurt (Oder)) · 2024
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Marthastr. 5 -17. Wachtel Projektgesellschaft mbH GmbH · HRB 21663 Frankfurt/Oder (Frankfurt (Oder)) · 2025
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Masoni GmbH HRB 206530 Charlottenburg (Berlin) (Berlin) · 2019
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Moosstr. 56 - 18. Wachtel Projektgesellschaft mbH GmbH · HRB 21665 Frankfurt/Oder (Frankfurt (Oder)) · 2025
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MP9 Beteiligungs GmbH HRB 18729 Frankfurt/Oder (Frankfurt (Oder)) · 2021
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NIJOVIA UG (haftungsbeschränkt) & Co. KG HRA 4376 Frankfurt/Oder (Frankfurt (Oder)) · 2024
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NoSC Holding GmbH HRB 21173 Frankfurt/Oder (Frankfurt (Oder)) · 2024
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Novus Trocknungs- und Sanierungsservice GmbH HRB 21390 Frankfurt/Oder (Frankfurt (Oder)) · 2025
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PTC Berlin GmbH HRB 22010 Frankfurt/Oder (Frankfurt (Oder)) · 2026
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Reimer Beteiligungsgesellschaft mbH GmbH · HRB 14461 Frankfurt/Oder (Frankfurt (Oder)) · 2013
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rtw GmbH HRB 10387 Frankfurt/Oder (Frankfurt (Oder)) · 2005
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All industries in Neuenhagen bei Berlin

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&filters={"city":"Neuenhagen bei Berlin","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": "Neuenhagen bei Berlin",
        "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": "Neuenhagen bei Berlin",
      "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": "Neuenhagen bei Berlin",
        "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":"Neuenhagen bei Berlin","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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