Removal services companies in Frankfurt am Main

Frankfurt am Main ·Currently listed companies in the Removal services industry headquartered in Frankfurt am Main.

14 companies

A.T. Meissner & Wolpert GmbH & Co. KG Multimediale Transporte & Relocation GmbH & Co. KG · HRA 42945 Frankfurt am Main (Frankfurt) · 2006
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Bomex Umzugs UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 135936 Frankfurt am Main (Frankfurt) · 2024
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Brock Umzüge GmbH GmbH · HRB 98418 Frankfurt am Main (Frankfurt) · 2014
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DUAL Relocation GmbH GmbH · HRB 128257 Frankfurt am Main (Frankfurt) · 2022
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GLOBUS immigration & relocation OHG OHG · HRA 43217 Frankfurt am Main (Frankfurt) · 2006
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Möbeltransport24 GmbH GmbH · HRB 113828 Frankfurt am Main (Frankfurt) · 2018
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Nowa-Trans Umzüge & Logistics UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 138726 Frankfurt am Main (Frankfurt) · 2025
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SI Transporte und Montage GmbH GmbH · HRB 141941 Frankfurt am Main (Frankfurt) · 2026
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SORGENFREIE UMZÜGE & TRANSPORTE GmbH GmbH · HRB 142074 Frankfurt am Main (Frankfurt) · 2026
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Transport & Montageteam 24 GmbH GmbH · HRB 137434 Frankfurt am Main (Frankfurt) · 2025
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UTS Umzugs- und Transport-Systeme GmbH u. Co. KG GmbH & Co. KG · HRA 43265 Frankfurt am Main (Frankfurt) · 1986
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V.K. Engels Transporte UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 132407 Frankfurt am Main (Frankfurt) · 2023
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Walter Hensel Möbeltransport und Lagerung HRA 18523 Frankfurt am Main (Frankfurt) · 2005
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WN Möbelmontage und -transport e.K. e.K. · HRA 53463 Frankfurt am Main (Frankfurt) · 2023
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All industries in Frankfurt am Main

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&filters={"city":"Frankfurt am Main","industry_code":"49.42.0","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": "Frankfurt am Main",
        "industry_code": "49.42.0",
        "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": "Frankfurt am Main",
      "industry_code": "49.42.0",
      "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": "Frankfurt am Main",
        "industry_code": "49.42.0",
        "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":"Frankfurt am Main","industry_code":"49.42.0","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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