Inns companies in Berlin

Berlin ·Currently listed companies in the Inns industry headquartered in Berlin.

24 companies · 1–20 of 24

Askanischer Hof, Hotel Garni Eva Glinicke HRA 19922 Charlottenburg (Berlin) (Berlin) · 2005
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Cafe-Restaurant Haus Dahlem-Hotel garni Inh. Paul Ramsour HRA 5052 Charlottenburg (Berlin) (Berlin) · 2005
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Centro Hotel Celler Tor GmbH & Co. KG GmbH & Co. KG · HRA 63137 Charlottenburg (Berlin) (Berlin) · 2024
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Come Inn Hotel Andreas Schütz e.K. e.K. · HRA 62766 Charlottenburg (Berlin) (Berlin) · 2024
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FÖLSCH KG Hotel-Pension "JORENA" KG · HRA 24939 Charlottenburg (Berlin) (Berlin) · 2005
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Hotel "Zum Stern" Ignatz Peltinowitsch HRA 12297 Charlottenburg (Berlin) (Berlin) · 2005
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Hotel - Seehof KG Fuchs-Henel GmbH & Co. GmbH & Co. KG · HRA 335 Charlottenburg (Berlin) (Berlin) · 2005
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Hotel Bergischer Hof Kurt Steinhausen HRA 1597 Charlottenburg (Berlin) (Berlin) · 2005
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Hotel Molks OHG OHG · HRA 25781 Charlottenburg (Berlin) (Berlin) · 2005
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Hotel Pension Majesty Inhaber Michael Herzog HRA 18333 Charlottenburg (Berlin) (Berlin) · 2005
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Hotel Seifert - Familie Zielke OHG OHG · HRA 54564 Charlottenburg (Berlin) (Berlin) · 2018
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Hotel Sorat Apollensdorf Helmuth Penz KG KG · HRA 23944 Charlottenburg (Berlin) (Berlin) · 2005
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Hotel zum Löwen GmbH & Co. GmbH & Co. KG · HRA 24485 Charlottenburg (Berlin) (Berlin) · 2005
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Hotel-Pension "Zum Schild" Inhaber Uwe Rettig HRA 23977 Charlottenburg (Berlin) (Berlin) · 2005
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Hotel-Pension Kastanienhof Hauptmann oHG OHG · HRA 24764 Charlottenburg (Berlin) (Berlin) · 2005
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Hotel-Restaurant Landhaus Perle Frank Kempe e.K. e.K. · HRA 52638 Charlottenburg (Berlin) (Berlin) · 2016
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Hotelpension Haus Konstanz Reiseservice e.K. e.K. · HRA 32937 Charlottenburg (Berlin) (Berlin) · 2005
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Jugendgästehaus am Zoo Alfons Scholz HRA 17862 Charlottenburg (Berlin) (Berlin) · 2005
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Lichtburg Hotelbetriebe Lissi Franke HRA 5350 Charlottenburg (Berlin) (Berlin) · 2005
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Panorama-Hotel Brante KG KG · HRA 15674 Charlottenburg (Berlin) (Berlin) · 2005
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All industries in Berlin

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&filters={"city":"Berlin","industry_code":"55.10.3","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": "55.10.3",
        "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": "Berlin",
      "industry_code": "55.10.3",
      "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": "Berlin",
        "industry_code": "55.10.3",
        "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":"Berlin","industry_code":"55.10.3","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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