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

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

18 companies

Bau- und Gartenservice Wiedemann GmbH HRB 725400 Stuttgart · 2008
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BEWÄSSERUNGSTECHNIK Garten-Moser GmbH u. Co. KG GmbH & Co. KG · HRA 734509 Stuttgart · 2018
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Boger Gartengestaltung GmbH HRB 768587 Stuttgart · 2019
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DACHBEGRÜNUNG Garten-Moser GmbH u. Co. KG GmbH & Co. KG · HRA 730501 Stuttgart · 2014
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DuoTec-Bautenschutz GmbH HRB 798924 Stuttgart · 2025
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GARTEN- UND LANDSCHAFTSBAU Garten-Moser GmbH u. Co. KG GmbH & Co. KG · HRA 730417 Stuttgart · 2014
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Gass Bauunternehmen GmbH HRB 776160 Stuttgart · 2020
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GRÜN- UND LANDSCHAFTSPFLEGE Garten-Moser GmbH u. Co. KG GmbH & Co. KG · HRA 721635 Stuttgart · 2007
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Helmut Janssen Garten- und Landschaftsbau GmbH & Co. Kommanditgesellschaft GmbH & Co. KG · HRA 351767 Stuttgart · 1985
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IPEX Bau GmbH HRB 798325 Stuttgart · 2025
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Janssen GmbH HRB 351564 Stuttgart · 1984
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Leininger Garten GmbH HRB 799769 Stuttgart · 2025
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Lutz + Riepert GmbH HRB 795861 Stuttgart · 2024
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MARKUS WAGNER - GARTENLIEBE LEBEN KG HRA 352549 Stuttgart · 2006
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Nagel & Krämer Landschafts- und Gartenbau GmbH HRB 771191 Stuttgart · 2019
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SPORTSTÄTTENBAU Garten-Moser GmbH u. Co. KG GmbH & Co. KG · HRA 352193 Stuttgart · 2000
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Stiegler Gartengestaltung GmbH & Co. KG HRA 350153 Stuttgart · 1923
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Werner Lutz Garten- und Landschaftsbau Verwaltungs-GmbH HRB 351231 Stuttgart · 1981
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All industries in Reutlingen

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

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