Institutions for factoring activities companies in Kassel

Kassel ·Currently listed companies in the Institutions for factoring activities industry headquartered in Kassel.

17 companies

AFH J. Döring e.Kfm., Inh. Jürgen Döring e.K. · HRA 9862 Kassel · 1998
741ec8d0ab…
Crefo-Factoring N-M-S GmbH & Co. KG GmbH & Co. KG · HRA 16293 Kassel · 2005
e785892dab…
Crefo-Factoring Nordhessen-Südniedersachsen Verwaltungs-GmbH GmbH · HRB 13645 Kassel · 2005
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D.W.A.Z. Dienstleistungsgesellschaft mbH GmbH · HRB 13193 Kassel · 2002
2e2c84ae87…
FA Grundstücksgemeinschaft eGbR eGbR · GsR 187 Kassel · 2025
252c0714d4…
fact3 network e.K. e.K. · HRA 16198 Kassel · 2004
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Frankfurter Straße 17 eGbR eGbR · GsR 241 Kassel · 2025
fdbec012f8…
Friedrichsplatz 4 eGbR eGbR · GsR 317 Kassel · 2026
37221f5eb8…
Glinicke Financial Services GmbH & Co. KG GmbH & Co. KG · HRA 17339 Kassel · 2014
8b3a7f7332…
Hegro-Eichler Gesellschaft mbH & Co Kommanditgesellschaft GmbH & Co. KG · HRA 8624 Kassel · 1976
64da9a1c66…
IKF Alexander Slawinski e.Kfm. e.K. · HRA 9884 Kassel · 1999
49e76a40c8…
Juliane Krüger Janah von Buttlar Nanchen OHG Nachfolger OHG · HRA 9605 Kassel · 1994
085639d614…
M & I Friedrich-Ebert-Str. 104 GmbH & Co. KG GmbH & Co. KG · HRA 16823 Kassel · 2009
caa862f14b…
Plansecur Service GmbH & Co. KG GmbH & Co. KG · HRA 9797 Kassel · 2005
92622b8e0c…
Uwe Feckler KG KG · HRA 9333 Kassel · 1988
0639943c44…
WELL finance I GmbH & Co. KG GmbH & Co. KG · HRA 16818 Kassel · 2008
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WELL finance II GmbH & Co. KG GmbH & Co. KG · HRA 16816 Kassel · 2008
b55c785f04…

All industries in Kassel

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&filters={"city":"Kassel","industry_code":"64.92.1","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": "Kassel",
        "industry_code": "64.92.1",
        "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": "Kassel",
      "industry_code": "64.92.1",
      "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": "Kassel",
        "industry_code": "64.92.1",
        "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":"Kassel","industry_code":"64.92.1","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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