Laying out, planting and maintenance of gardens, parks and green areas companies in Bottrop

Bottrop ·Currently listed companies in the Laying out, planting and maintenance of gardens, parks and green areas industry headquartered in Bottrop.

16 companies

Aenstoots GaLaBau GmbH II GmbH · HRB 19338 Gelsenkirchen · 2025
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Aenstoots Garten- und Landschaftsbau GmbH GmbH · HRB 4726 Gelsenkirchen · 1997
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Bernhard Hinricher GmbH GmbH · HRB 5001 Gelsenkirchen · 1992
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Boz Bau & Sanierung UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 19247 Gelsenkirchen · 2025
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Bromkamp Garten- und Landschaftsgestaltungs-GmbH GmbH · HRB 4795 Gelsenkirchen · 1996
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GaLa-Bau Johannes Jansen e.K. e.K. · HRA 5022 Gelsenkirchen · 2013
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Gala-Flor GmbH GmbH · HRB 4686 Gelsenkirchen · 1999
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Galabau Stammkötter GmbH & Co. KG GmbH & Co. KG · HRA 5716 Gelsenkirchen · 2019
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Hemmer Garten - u. Landschaftsbau GmbH GmbH · HRB 18482 Gelsenkirchen · 2024
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Lars Stammkötter Garten- und Landschaftsbau GmbH GmbH · HRB 7816 Gelsenkirchen · 2004
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Markus Kaufmann GmbH GmbH · HRB 14029 Gelsenkirchen · 2017
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S & G GmbH GmbH · HRB 9093 Gelsenkirchen · 2007
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Stammkötter Vegetationstechnik GmbH GmbH · HRB 14957 Gelsenkirchen · 2019
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Terra Verde GmbH Garten- und Landschaftsbau GmbH · HRB 7132 Gelsenkirchen · 2003
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Wallenburg Garten- und Landschaftsbau Inhaber Harald Herden e.K. e.K. · HRA 2409 Gelsenkirchen · 1995
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Weber Gartenbau GmbH GmbH · HRB 17018 Gelsenkirchen · 2022
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All industries in Bottrop

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&filters={"city":"Bottrop","industry_code":"81.30.1","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": "Bottrop",
        "industry_code": "81.30.1",
        "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": "Bottrop",
      "industry_code": "81.30.1",
      "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": "Bottrop",
        "industry_code": "81.30.1",
        "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":"Bottrop","industry_code":"81.30.1","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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