Inland freight water transport companies in Oldendorf

Oldendorf ·Currently listed companies in the Inland freight water transport industry headquartered in Oldendorf.

31 companies · 1–20 of 31

MS "ALAND" GmbH & Co. KG HRA 204078 Tostedt (Samtgemeinde Tostedt) · 2019
3a79a8d1ff…
MS "AMBERLAND" GmbH & Co. KG HRA 204092 Tostedt (Samtgemeinde Tostedt) · 2019
e3d517427b…
MS "AMINA" GmbH & Co. KG HRA 204088 Tostedt (Samtgemeinde Tostedt) · 2019
e85e316739…
MS "BAYOU" GmbH & Co. KG HRA 204174 Tostedt (Samtgemeinde Tostedt) · 2020
4c5772d07d…
MS "DALARNA" GmbH & Co. KG HRA 200743 Tostedt (Samtgemeinde Tostedt) · 2007
9fe1c11e68…
MS "ELBALAND" GmbH & Co. KG HRA 203087 Tostedt (Samtgemeinde Tostedt) · 2015
055385eba9…
MS "ELBE" GmbH & Co. KG HRA 204169 Tostedt (Samtgemeinde Tostedt) · 2020
72dbfdd92c…
MS "FEMBRIA" GmbH & Co. KG HRA 203089 Tostedt (Samtgemeinde Tostedt) · 2015
9c2f7b0628…
MS "FINNLAND" GmbH & Co. KG HRA 204444 Tostedt (Samtgemeinde Tostedt) · 2021
3752a20e13…
MS "HADELAND" GmbH & Co. KG HRA 203088 Tostedt (Samtgemeinde Tostedt) · 2015
5077a32e00…
MS "HALLAND" GmbH & Co. KG HRA 202748 Tostedt (Samtgemeinde Tostedt) · 2014
a552e56b5f…
MS "JADELAND" GmbH & Co. KG HRA 204374 Tostedt (Samtgemeinde Tostedt) · 2020
8334c0affc…
MS "JÄMTLAND" GmbH & Co. KG HRA 200667 Tostedt (Samtgemeinde Tostedt) · 2007
c7f01491f2…
MS "KEALAND" GmbH & Co. KG HRA 203960 Tostedt (Samtgemeinde Tostedt) · 2019
acbcd9c471…
MS "LAPPLAND" GmbH & Co. KG HRA 202289 Tostedt (Samtgemeinde Tostedt) · 2012
b39edaea4c…
MS "LEMLAND" GmbH & Co. KG HRA 202288 Tostedt (Samtgemeinde Tostedt) · 2012
274fc4e0ef…
MS "LETTLAND" GmbH & Co.KG HRA 100544 Tostedt (Samtgemeinde Tostedt)
bb673078b2…
MS "LOLLAND" GmbH & Co. KG HRA 204554 Tostedt (Samtgemeinde Tostedt) · 2021
843e43574c…
MS "MANDO" GmbH & Co.KG HRA 100425 Tostedt (Samtgemeinde Tostedt) · 1995
5d28dbbed6…
MS "MERITO" GmbH & Co.KG HRA 100515 Tostedt (Samtgemeinde Tostedt) · 1998
2461f79016…

All industries in Oldendorf

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&filters={"city":"Oldendorf","industry_code":"50.40.0","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": "Oldendorf",
        "industry_code": "50.40.0",
        "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": "Oldendorf",
      "industry_code": "50.40.0",
      "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": "Oldendorf",
        "industry_code": "50.40.0",
        "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":"Oldendorf","industry_code":"50.40.0","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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