Manufacture of plastic packing goods companies in Rosengarten

Rosengarten ·Currently listed companies in the Manufacture of plastic packing goods industry headquartered in Rosengarten.

16 companies

"Zessner Plastik" Manfred Fischer e.K. HRA 2382 Tostedt (Samtgemeinde Tostedt) · 2000
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Becker eGbR GsR 235 Tostedt (Samtgemeinde Tostedt) · 2024
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Braunschweig Wiebke Jacobi und Axel Kloth eGbR GsR 1046 Tostedt (Samtgemeinde Tostedt) · 2026
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Haettich & Baguhn Meisenweg 2 eGbR GsR 939 Tostedt (Samtgemeinde Tostedt) · 2025
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Heinz Setzer e.K. HRA 570981 Stuttgart · 1987
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JUNALI GmbH & Co. KG HRA 735002 Stuttgart · 2018
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Karen Mathies und Jürgen Niehues eGbR GsR 965 Tostedt (Samtgemeinde Tostedt) · 2025
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Kruse und Schmidt eGbR GsR 190 Tostedt (Samtgemeinde Tostedt) · 2024
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Mike Kollmeyer und Meike Kollmeyer geb. Ott eGbR GsR 897 Tostedt (Samtgemeinde Tostedt) · 2025
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MIRMEX UG (haftungsbeschränkt) & Co. KG HRA 203358 Tostedt (Samtgemeinde Tostedt) · 2016
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Nicola + Nathalie Meyer eGbR GsR 110 Tostedt (Samtgemeinde Tostedt) · 2024
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Pluntke und Müller-Pluntke eGbR GsR 319 Tostedt (Samtgemeinde Tostedt) · 2024
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Simon Koch + Tobias Busch eGbR GsR 163 Tostedt (Samtgemeinde Tostedt) · 2024
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Stille Heide KG HRA 203434 Tostedt (Samtgemeinde Tostedt) · 2017
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T.Meyer.Nenndorf GmbH & Co. KG HRA 202829 Tostedt (Samtgemeinde Tostedt) · 2014
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Wrapping Solutions GmbH HRB 730678 Stuttgart · 2009
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All industries in Rosengarten

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&filters={"city":"Rosengarten","industry_code":"22.22.0","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": "Rosengarten",
        "industry_code": "22.22.0",
        "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": "Rosengarten",
      "industry_code": "22.22.0",
      "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": "Rosengarten",
        "industry_code": "22.22.0",
        "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":"Rosengarten","industry_code":"22.22.0","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