Wholesale of textiles companies in Offenbach am Main

Offenbach am Main ·Currently listed companies in the Wholesale of textiles industry headquartered in Offenbach am Main.

25 companies · 1–20 of 25

Blue Velvet Textil- und Maschinenhandels GmbH GmbH · HRB 12233 Offenbach am Main · 2002
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Brightside Products UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 52313 Offenbach am Main · 2020
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BWEAR Solutions UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 53432 Offenbach am Main · 2021
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BWEAR Textiles & Merchandising GmbH & Co. KG GmbH & Co. KG · HRA 42228 Offenbach am Main · 2016
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Cheval des Vents UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 57654 Offenbach am Main · 2025
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Express Singh GmbH GmbH · HRB 53365 Offenbach am Main · 2021
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Frankfurter Fahnen Jungmann GmbH GmbH · HRB 11849 Offenbach am Main · 2002
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G Kaufmanns & G Handels UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 93058 Frankfurt am Main (Frankfurt) · 2012
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IHYA TEXTILE GmbH GmbH · HRB 58581 Offenbach am Main · 2026
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Jeans Depot Textilhandels GmbH GmbH · HRB 9748 Offenbach am Main · 1995
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Klips Modevertriebs-GmbH GmbH · HRB 75703 Charlottenburg (Berlin) (Berlin) · 2004
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Lonlee Clothing GmbH GmbH · HRB 54744 Offenbach am Main · 2022
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Marie & Seema GmbH GmbH · HRB 56676 Offenbach am Main · 2024
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Mastersox GmbH GmbH · HRB 52076 Offenbach am Main · 2019
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MN Dienstleistungen UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 58077 Offenbach am Main · 2025
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non plus ultra studio GmbH GmbH · HRB 56066 Offenbach am Main · 2020
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Pies GmbH GmbH · HRB 45219 Offenbach am Main · 2010
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Rottenstein GmbH GmbH · HRB 52563 Offenbach am Main · 2018
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SAASITEX GmbH GmbH · HRB 37611 Frankfurt am Main (Frankfurt) · 1993
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Trendy one e.K. e.K. · HRA 9727 Offenbach am Main · 2001
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All industries in Offenbach am Main

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&filters={"city":"Offenbach am Main","industry_code":"46.41.0","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": "Offenbach am Main",
        "industry_code": "46.41.0",
        "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": "Offenbach am Main",
      "industry_code": "46.41.0",
      "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": "Offenbach am Main",
        "industry_code": "46.41.0",
        "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":"Offenbach am Main","industry_code":"46.41.0","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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