Specialised construction activities in civil engineering companies in Moers

Moers ·Currently listed companies in the Specialised construction activities in civil engineering industry headquartered in Moers.

30 companies · 1–20 of 30

AKT Alternativer Kabel-, Tief- und Straßenbau GmbH GmbH · HRB 20456 Kleve (Cleves) · 2003
5ea7daa1b9…
ALI BAU GmbH GmbH · HRB 19956 Kleve (Cleves) · 2024
770659de7f…
AMT Alex Maas Tiefbauunternehmung GmbH & Co. KG GmbH & Co. KG · HRA 1889 Kleve (Cleves) · 1920
c03973e2dd…
Bau Vision GmbH GmbH · HRB 20012 Kleve (Cleves) · 2024
4f62fc9131…
Biko Bau GmbH GmbH · HRB 18297 Kleve (Cleves) · 2022
dc70692994…
BOGI BAU GmbH GmbH · HRB 17902 Kleve (Cleves) · 2022
c23825ecb8…
BoMa GmbH GmbH · HRB 19108 Kleve (Cleves) · 2023
4d27a47f6b…
BORO BAU SERVICE GmbH GmbH · HRB 20518 Kleve (Cleves) · 2025
ba504259f1…
Brand Gesellschaft mit beschränkter Haftung GmbH · HRB 5034 Kleve (Cleves) · 1974
d29233685d…
BRUKE Bau GmbH GmbH · HRB 19866 Kleve (Cleves) · 2024
5cb9c7c2a4…
BTM Berg- und Tunnelbau Maas GmbH GmbH · HRB 6217 Kleve (Cleves) · 2003
decce9a3a3…
CCS - Uwe Girse UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 20495 Kleve (Cleves) · 2025
01d00b96b2…
Dedic Projekt GmbH GmbH · HRB 18030 Kleve (Cleves) · 2022
84aa762515…
FF Bauunternehmung GmbH GmbH · HRB 11534 Kleve (Cleves) · 2012
7b05c358aa…
Gerhard Tummes, Gesellschaft mit beschränkter Haftung & Co. Tief- und Straßenbau Kommanditgesellschaft GmbH & Co. KG · HRA 2124 Kleve (Cleves) · 1957
c4d1072ad3…
HWM Hafen-, Wasser- und Spezialtiefbau Maas GmbH GmbH · HRB 5327 Kleve (Cleves) · 1990
2e46ba29b3…
IBISHI-BAU GmbH GmbH · HRB 8579 Kleve (Cleves) · 2007
928c7435ad…
Jacques Oberflächentechnik GmbH GmbH · HRB 15972 Kleve (Cleves) · 2019
028db634f4…
MALDAS GmbH GmbH · HRB 15755 Kleve (Cleves) · 2019
7cd2955dd7…
Malesevic Bauunternehmung GmbH GmbH · HRB 10065 Kleve (Cleves) · 2009
6dbb9ca479…

All industries in Moers

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&filters={"city":"Moers","industry_code":"43.50.0","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": "Moers",
        "industry_code": "43.50.0",
        "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": "Moers",
      "industry_code": "43.50.0",
      "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": "Moers",
        "industry_code": "43.50.0",
        "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":"Moers","industry_code":"43.50.0","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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