Inland freight water transport companies in Emden

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

34 companies · 1–20 of 34

" Friesland " Schiffahrtsgesellschaft mit beschränkter Haftung GmbH · HRB 100005 Aurich · 1952
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(MPC) MLB Project Carriers GmbH & Co. KG GmbH & Co. KG · HRA 202014 Aurich · 2015
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AG "Ems" & Co. Schiffahrts-Kommanditgesellschaft AG & Co. KG · HRA 100146 Aurich · 1976
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Delft Schiffahrt GmbH & Co. KG GmbH & Co. KG · HRA 202612 Aurich · 2018
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EFG CORDES & GRAEFE EMDEN KG KG · HRA 201828 Aurich · 2014
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Emder Bugsier- und Bergungsgeschäft P.W. Wessels Wwe. KG KG · HRA 100002 Aurich · 1888
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Great Lakes Shipping GmbH & Co. KG GmbH & Co. KG · HRA 202441 Aurich · 2017
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MLB Manfred Lauterjung Befrachtung GmbH & Co. KG GmbH & Co. KG · HRA 200244 Aurich · 2006
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MS "Castor" Rohden-Bereederungs KG KG · HRA 100252 Aurich · 2006
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MS Hestia GmbH & Co. KG GmbH & Co. KG · HRA 203822 Aurich · 2023
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Reederei M. Lauterjung GmbH & Co. KG GmbH & Co. KG · HRA 200623 Aurich · 2007
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Reederei M. Lauterjung GmbH & Co. KG Eurocoaster I GmbH & Co. KG · HRA 202677 Aurich · 2018
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Reederei M. Lauterjung GmbH & Co. KG MS "Aarhus" GmbH & Co. KG · HRA 200420 Aurich · 2007
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Reederei M. Lauterjung GmbH & Co. KG MS "Atlantic Ocean" GmbH & Co. KG · HRA 100823 Aurich · 2004
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Reederei M. Lauterjung GmbH & Co. KG MS "Copenhagen" GmbH & Co. KG · HRA 200405 Aurich · 2007
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Reederei M. Lauterjung GmbH & Co. KG MS "Ebeltoft" GmbH & Co. KG · HRA 200403 Aurich · 2007
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Reederei M. Lauterjung GmbH & Co. KG MS "Esbjerg" GmbH & Co. KG · HRA 200451 Aurich · 2007
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Reederei M. Lauterjung GmbH & Co. KG MS "Jupiter" GmbH & Co. KG · HRA 202864 Aurich · 2019
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Reederei M. Lauterjung GmbH & Co. KG MS "Mediterranean Sea" GmbH & Co. KG · HRA 200564 Aurich · 2007
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Reederei M. Lauterjung GmbH & Co. KG MS "Pacific Ocean" GmbH & Co. KG · HRA 100822 Aurich · 2004
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All industries in Emden

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

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