Retail sale of tobacco products companies in Frankfurt am Main

Frankfurt am Main ·Currently listed companies in the Retail sale of tobacco products industry headquartered in Frankfurt am Main.

16 companies

ATIGAZI UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 115449 Frankfurt am Main (Frankfurt) · 2019
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GC312 GmbH GmbH · HRB 132233 Frankfurt am Main (Frankfurt) · 2023
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Hills Bar GmbH GmbH · HRB 138482 Frankfurt am Main (Frankfurt) · 2025
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Hype 16 GmbH GmbH · HRB 130342 Frankfurt am Main (Frankfurt) · 2023
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Imran's Khan Kiosk UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 142292 Frankfurt am Main (Frankfurt) · 2026
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Jabber GmbH GmbH · HRB 128288 Frankfurt am Main (Frankfurt) · 2022
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Kiymet Einzelhandel GmbH GmbH · HRB 121061 Frankfurt am Main (Frankfurt) · 2020
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Meslik GmbH GmbH · HRB 130269 Frankfurt am Main (Frankfurt) · 2023
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Mubarak Markt GmbH GmbH · HRB 128702 Frankfurt am Main (Frankfurt) · 2022
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NTS GmbH GmbH · HRB 132823 Frankfurt am Main (Frankfurt) · 2023
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Souk Al Bahar GmbH GmbH · HRB 110073 Frankfurt am Main (Frankfurt) · 2017
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Tabakhaus Büttner, Inh. Birgit Herrtwich geb. Bentmann eingetragene Kauffrau e.K. · HRA 46211 Frankfurt am Main (Frankfurt) · 2011
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Tabaklounge GmbH GmbH · HRB 110397 Frankfurt am Main (Frankfurt) · 2017
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Tabakwaren Shabani GmbH GmbH · HRB 109109 Frankfurt am Main (Frankfurt) · 2017
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Taunus 20 GmbH GmbH · HRB 119049 Frankfurt am Main (Frankfurt) · 2020
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Xtract Stores UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 117995 Frankfurt am Main (Frankfurt) · 2020
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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":"47.26.0","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": "47.26.0",
        "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": "47.26.0",
      "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": "47.26.0",
        "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":"47.26.0","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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