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 · 21–40 of 79

Essen & Trinken SKP OHG HRA 57593 Charlottenburg (Berlin) (Berlin) · 2020
9cdba36867…
Fuhrmann's Snack & Style eGbR GsR 2329 Charlottenburg (Berlin) (Berlin) · 2024
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G & K Gastro Berlin GmbH HRB 265821 Charlottenburg (Berlin) (Berlin) · 2024
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Gao und Spieß GmbH HRB 228131 Charlottenburg (Berlin) (Berlin) · 2021
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Hago Gaststätten GmbH HRB 53217 Charlottenburg (Berlin) (Berlin) · 2004
76a4bcf2d4…
Harald Köhring GmbH HRB 68520 Charlottenburg (Berlin) (Berlin) · 2004
08b95e79e6…
Höfs & Eckert GmbH HRB 116189 Charlottenburg (Berlin) (Berlin) · 2008
ed7907f46e…
Hühnerhaus 36 GmbH HRB 218741 Charlottenburg (Berlin) (Berlin) · 2020
ca707f3f2f…
Illmann Gaststättenbetriebsgesellschaft UG (haftungsbeschränkt) & Co. KG HRA 59043 Charlottenburg (Berlin) (Berlin) · 2021
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Imbiß am Stutti GmbH HRB 191193 Charlottenburg (Berlin) (Berlin) · 2017
bf22bb8e38…
Imbisskette und Automatenaufsteller Aktürk, Inhaber: Ahmet Aktürk e.K. HRA 37984 Charlottenburg (Berlin) (Berlin) · 2006
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Inselnest UG (haftungsbeschränkt) HRB 211992 Charlottenburg (Berlin) (Berlin) · 2019
3cffe871a6…
Kingsjoy Gastronomiebetriebe GmbH & Co. KG HRA 57156 Charlottenburg (Berlin) (Berlin) · 2020
4f7a0b3887…
Kloster Mini Pizza Express GmbH HRB 255594 Charlottenburg (Berlin) (Berlin) · 2023
5e71abf1ea…
Konnopke's Imbiß, W. Ziervogel/D. Konnopke OHG HRA 48222 Charlottenburg (Berlin) (Berlin) · 2013
b1b4f34476…
Kubay Eats GmbH HRB 270650 Charlottenburg (Berlin) (Berlin) · 2024
49c1206f89…
Long Luck Travel & Trading GmbH HRB 92060 Charlottenburg (Berlin) (Berlin) · 2004
21d53fb739…
Maria Bonita Mexican Bistro e.K. HRA 55216 Charlottenburg (Berlin) (Berlin) · 2018
7c5df6f7d0…
MaxxBar e.K. HRA 38210 Charlottenburg (Berlin) (Berlin) · 2006
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Melikan Gastro GmbH HRB 189059 Charlottenburg (Berlin) (Berlin) · 2017
85657fa5ec…

All industries in Berlin

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&skip=20

&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=20,
)
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: 20,
});
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: 20,
  });
  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=20' \
  -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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