Snack bars and the like companies in Berlin

Berlin ·Currently listed companies in the Snack bars and the like industry headquartered in Berlin.

79 companies · 41–60 of 79

mib Systemgastronomiegesellschaft m.b.H. & Co. Hansastraße KG GmbH & Co. KG · HRA 45977 Charlottenburg (Berlin) (Berlin) · 2011
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mib Systemgastronomiegesellschaft m.b.H. & Co. Karl-Liebknecht-Straße KG GmbH & Co. KG · HRA 45968 Charlottenburg (Berlin) (Berlin) · 2011
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Mustafa Demir's Gemüse Kebap GmbH HRB 233870 Charlottenburg (Berlin) (Berlin) · 2021
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Muttis Küche UG (haftungsbeschränkt) HRB 264261 Charlottenburg (Berlin) (Berlin) · 2024
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New Day Restaurant e.K., Inh. Hung Tuan Dam HRA 59988 Charlottenburg (Berlin) (Berlin) · 2022
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nexus.xx GmbH HRB 280362 Charlottenburg (Berlin) (Berlin) · 2025
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Orient Imbiss GmbH HRB 157045 Charlottenburg (Berlin) (Berlin) · 2014
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Pilz Imbiss 2 GmbH HRB 270619 Charlottenburg (Berlin) (Berlin) · 2024
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Pilz Imbiss GmbH HRB 266513 Charlottenburg (Berlin) (Berlin) · 2024
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Pizzeria am Rüdi GmbH HRB 129041 Charlottenburg (Berlin) (Berlin) · 2010
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PK Local Ventures UG (haftungsbeschränkt) HRB 274981 Charlottenburg (Berlin) (Berlin) · 2025
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Restaurant Luitpold e. K. HRA 29468 Charlottenburg (Berlin) (Berlin) · 2005
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Restaurant Panther GmbH HRB 255762 Charlottenburg (Berlin) (Berlin) · 2023
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Restaurant Tagesbar GmbH HRB 179700 Charlottenburg (Berlin) (Berlin) · 2016
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Restaurant Weyers Inhaber Wolfgang Weyers e. K. HRA 54703 Charlottenburg (Berlin) (Berlin) · 2018
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Richy's Imbiss UG (haftungsbeschränkt) HRB 269426 Charlottenburg (Berlin) (Berlin) · 2024
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Rosa Kamel GmbH HRB 233950 Charlottenburg (Berlin) (Berlin) · 2021
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Rüyam Restaurantbetriebs GmbH HRB 249332 Charlottenburg (Berlin) (Berlin) · 2023
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Schell Bistro UG (haftungsbeschränkt) & Co. KG HRA 64289 Charlottenburg (Berlin) (Berlin) · 2025
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SeTo GmbH HRB 115348 Charlottenburg (Berlin) (Berlin) · 2008
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All industries in Berlin

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&skip=40

&filters={"city":"Berlin","industry_code":"56.11.3","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": "56.11.3",
        "industry_scheme": "WZ2025"
    },
    limit=20,
    skip=40,
)
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": "56.11.3",
      "industry_scheme": "WZ2025"
  },
  limit: 20,
  skip: 40,
});
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": "56.11.3",
        "industry_scheme": "WZ2025"
    },
    limit: 20,
    skip: 40,
  });
  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&skip=40' \
  -H 'x-api-key: YOUR_API_KEY' \
  -G --data-urlencode 'filters={"city":"Berlin","industry_code":"56.11.3","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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