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

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

15 companies

D. Pick Gartengestaltungs- und Landschaftsbau KG KG · HRA 2667 Bonn · 1975
101bbd17e9…
Eckstein Gartenpflege und Gestaltung VZ GmbH GmbH · HRB 115015 Köln (Cologne) · 2023
87ee8979d5…
Garten- und Landschaftsbau Lentzen GmbH GmbH · HRB 1522 Bonn · 1974
e455c0b428…
GRANTI Baugesellschaft UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 30315 Bonn · 2026
e3b539d775…
GRÄFE Garten- und Landschaftsbau GmbH GmbH · HRB 5320 Bonn · 1990
49275d76de…
Grünlich Garten- und Landschaftsbau e.K. e.K. · HRA 9585 Bonn · 2021
bf87e0c768…
HC GaLaBau UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 27969 Bonn · 2023
eaafe67026…
Hünten - Gartenbau GmbH GmbH · HRB 9886 Bonn · 2002
79c5b93dea…
Joseph Liebau Garten- und Landschaftsbau e.K. e.K. · HRA 2576 Bonn · 1974
2ee2a91da6…
Kimberly Bau GmbH GmbH · HRB 27335 Bonn · 2018
e32e037671…
Klaiqi Garten- und Landschaftsbau GmbH GmbH · HRB 29570 Bonn · 2025
b1db51d54f…
NB Projektbau GmbH GmbH · HRB 23434 Bonn · 2018
500dfce404…
Pampuz UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 27748 Bonn · 2023
76cd60b4f9…
RB Landschafts- und Gartenbau GmbH GmbH · HRB 20546 Bonn · 2014
03cd8f880f…
Schöne Bau-Dienstleistungen GmbH GmbH · HRB 30039 Bonn · 2025
5b64bfe81d…

All industries in Bonn

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&filters={"city":"Bonn","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": "Bonn",
        "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": "Bonn",
      "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": "Bonn",
        "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":"Bonn","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

Cookie Settings

Customize Cookie Settings