Inland freight water transport companies in Berlin

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

51 companies · 1–20 of 51

1892ste Schiffsbetriebs GmbH & Co. KGaA GmbH & Co. KGaA · HRB 177967 Charlottenburg (Berlin) (Berlin) · 2016
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B + W Weber Spedition GmbH Stapler-Vermietung GmbH · HRB 41422 Charlottenburg (Berlin) (Berlin) · 2004
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B+M Zwischenort eGbR eGbR · GsR 2097 Charlottenburg (Berlin) (Berlin) · 2024
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Babic & Babic eGbR eGbR · GsR 2810 Charlottenburg (Berlin) (Berlin) · 2025
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Benz-Feldhaus & Brokop eGbR eGbR · GsR 2321 Charlottenburg (Berlin) (Berlin) · 2024
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Berliner Waren Expedition Reinhold Bartsch Nachf. HRA 13871 Charlottenburg (Berlin) (Berlin) · 2005
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Binnenschiffahrt Handel und Vermietungen Kapitän Rudolf Mach HRA 28714 Charlottenburg (Berlin) (Berlin) · 2005
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BlueLine, Thomas Kopp e.Kfm e.K. · HRA 31319 Charlottenburg (Berlin) (Berlin) · 2004
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Bugenhagen eGbR eGbR · GsR 1790 Charlottenburg (Berlin) (Berlin) · 2024
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Container-Service Stanislawski OHG OHG · HRA 24065 Charlottenburg (Berlin) (Berlin) · 2005
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Damm, Damm eGbR eGbR · GsR 240 Charlottenburg (Berlin) (Berlin) · 2024
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Deutsche Binnenreederei GmbH GmbH · HRB 237610 Charlottenburg (Berlin) (Berlin) · 2022
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DNS Nördliche Spitze Düsseldorf GmbH & Co. KG GmbH & Co. KG · HRA 58011 Charlottenburg (Berlin) (Berlin) · 2020
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Eco Containers DE GmbH GmbH · HRB 38696 Bremen · 2021
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El-Khrabawy & Ibrahim OHG OHG · HRA 29166 Charlottenburg (Berlin) (Berlin) · 2005
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Erich Papenbrock Inh. Manfred Kienscherf HRA 5506 Charlottenburg (Berlin) (Berlin) · 2005
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FINE LOGISTIK GmbH GmbH · HRB 126032 Charlottenburg (Berlin) (Berlin) · 2010
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Geminus Transport GmbH GmbH · HRB 189971 Charlottenburg (Berlin) (Berlin) · 2017
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GOC GmbH GmbH · HRB 209787 Charlottenburg (Berlin) (Berlin) · 2019
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Grimm & Lindecke Schiffscharter eGbR eGbR · GsR 1806 Charlottenburg (Berlin) (Berlin) · 2024
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All industries in Berlin

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

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