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

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

12 companies

AKM Landschaft und Garten GmbH GmbH · HRB 20498 Wuppertal · 2007
de775b4452…
Andreas Schneider Garten und Baum GmbH GmbH · HRB 24508 Wuppertal · 2012
65470db39b…
DS Galabau GmbH & Co. KG GmbH & Co. KG · HRA 25683 Wuppertal · 2023
f754999f03…
Fleck Asphaltbau GmbH GmbH · HRB 12544 Wuppertal · 2003
c5240793cf…
Garten- und Landschaftsbau Uwe Wiederstein e.K. e.K. · HRA 25030 Wuppertal · 2019
c4a9ea2c6a…
IKOS Handwerkservice UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 35666 Wuppertal · 2025
d73be71929…
Jürgen Frese Garten- und Landschaftsbau e.K. Inhaber Patrick Scharf e.K. · HRA 25475 Wuppertal · 2022
a3b173dc04…
Kaan Galabau GmbH GmbH · HRB 33228 Wuppertal · 2022
e7914f9809…
Klaus Pawlik Garten- und Landschaftsbau GmbH GmbH · HRB 11707 Wuppertal · 2003
78e1a2a6a7…
MG-Projekt Bau GmbH GmbH · HRB 33414 Wuppertal · 2023
616335e51a…
R & D UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 36150 Wuppertal · 2025
b2f2c7c82a…
Stromenger Garten- und Landschaftsbau e.K., Inh. Ejupi e.K. · HRA 18370 Wuppertal · 2003
aae225feb6…

All industries in Remscheid

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

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