Glazing companies in Erfurt

Erfurt ·Currently listed companies in the Glazing industry headquartered in Erfurt.

16 companies

AGE Autoglas GmbH Erfurt GmbH · HRB 104671 Jena · 1992
009ade7f45…
AWE - Arbeits Welt Eilart GmbH & Co.KG GmbH & Co. KG · HRA 102862 Jena · 2004
d9d727a50c…
Dachdecker Glückauf Heiko Wagner GmbH GmbH · HRB 112301 Jena · 2002
b408c7a74b…
Fa. Bertram Wand Heizung & Sanitär Inhaber: Heiko Gunkel e.K. e.K. · HRA 102770 Jena · 2003
01e90a284e…
GGL Ganz Genau Dienstleistungen OHG OHG · HRA 507136 Jena · 2025
6631bb435b…
junited AUTOGLAS Erfurt GmbH GmbH · HRB 501682 Jena · 2007
b0ccf78065…
K P Autoglasdesign e. K., Inh. Karsten Peters e.K. · HRA 102772 Jena · 2003
3decc69bc9…
KaLaS Karosserie- und Lackierservice GmbH & Co. KG GmbH & Co. KG · HRA 504415 Jena · 2017
0c627e6693…
Kerstin und Mario Gleinig eGbR eGbR · GsR 748 Jena · 2025
b2820019c4…
Krohm Bedachungen GmbH & Co. KG GmbH & Co. KG · HRA 503623 Jena · 2015
24d40b921c…
Müller & Brüheim Bedachungen GmbH & Co. KG GmbH & Co. KG · HRA 505058 Jena · 2019
94de0a4328…
Raumausstatter Messing e.K. e.K. · HRA 102188 Jena · 2000
5e8a56d595…
Riedel Bauunternehmen GmbH & Co KG GmbH & Co. KG · HRA 101460 Jena · 1995
008050a310…
Robert Nagel Trockenbau-Brandschutz-Akustik GmbH & Co. KG GmbH & Co. KG · HRA 503712 Jena · 2015
c6a32c7b4a…
SANDER KG Gewerbe- & Privat-Immobilien Inhaber Stephan Sander e.K. KG · HRA 100157 Jena · 1991
b93b11333c…
Tischlerei Knauf e.K. Inhaber Matthias Raub e.K. · HRA 102919 Jena · 2004
5c7ae7ddc1…

All industries in Erfurt

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&filters={"city":"Erfurt","industry_code":"43.34.2","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": "Erfurt",
        "industry_code": "43.34.2",
        "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": "Erfurt",
      "industry_code": "43.34.2",
      "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": "Erfurt",
        "industry_code": "43.34.2",
        "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":"Erfurt","industry_code":"43.34.2","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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