Activities of holding companies companies in Bad Langensalza

Bad Langensalza ·Currently listed companies in the Activities of holding companies industry headquartered in Bad Langensalza.

23 companies · 1–20 of 23

Bau Jahn Verwaltungs GmbH GmbH · HRB 507073 Jena · 2011
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Behringer-Photovoltaik Verwaltungs- und Beteiligungs-GmbH GmbH · HRB 504848 Jena · 2009
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Beteiligungsgesellschaft Zimmern mbH GmbH · HRB 513174 Jena · 2010
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Detert Biomethan Verwaltungs GmbH GmbH · HRB 521023 Jena · 2023
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H. Werner Verwaltungsgesellschaft mbH GmbH · HRB 506461 Jena · 2011
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Heinz Werner GmbH Aschara GmbH · HRB 401156 Jena · 1992
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HID HÄRTEL Verwaltungsgesellschaft mbH GmbH · HRB 500850 Jena · 2006
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KFK-Geschäftsführungs-GmbH GmbH · HRB 500919 Jena · 2006
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Kirchner Verwaltungs GmbH GmbH · HRB 519644 Jena · 2022
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Lachmann-Huhn Vermögensverwaltungsgesellschaft mbH GmbH · HRB 518598 Jena · 2021
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Milchgut Zimmern Verwaltungs GmbH GmbH · HRB 500488 Jena · 2006
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MRH Holding GmbH GmbH · HRB 516967 Jena · 2020
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NAWARO Bad Langensalza GmbH GmbH · HRB 504618 Jena · 2009
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Residenz am Kurpark Bad Langensalza Verwaltungsgesellschaft mbH GmbH · HRB 405272 Jena · 2001
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Roland Mills Beteiligungsgesellschaft mbH GmbH · HRB 401791 Jena · 1992
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Schmidt & Steinerstauch Verwaltung GmbH GmbH · HRB 510163 Jena · 2014
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Schwartzkopff Verwaltungs GmbH GmbH · HRB 406085 Jena · 2004
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SHL Städtische Holding Bad Langensalza GmbH GmbH · HRB 511456 Jena · 2015
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Sickert Advisery & Invest UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 518269 Jena · 2021
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Stegemann Ventures UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 512409 Jena · 2016
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All industries in Bad Langensalza

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&filters={"city":"Bad Langensalza","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": "Bad Langensalza",
        "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": "Bad Langensalza",
      "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": "Bad Langensalza",
        "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":"Bad Langensalza","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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