Institutions for factoring activities companies in Eschborn

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

18 companies

CIS Garantie Hebel Plan '07 GmbH & Co. KG GmbH & Co. KG · HRA 45220 Frankfurt am Main (Frankfurt) · 2006
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ecos GmbH & Co. KG GmbH & Co. KG · HRA 29206 Frankfurt am Main (Frankfurt) · 1999
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Event Force GmbH GmbH · HRB 89933 Frankfurt am Main (Frankfurt) · 2011
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Exus Westphalia 11. GmbH & Co. KG GmbH & Co. KG · HRA 54620 Frankfurt am Main (Frankfurt) · 2024
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Exus Westphalia 12. GmbH & Co. KG GmbH & Co. KG · HRA 54521 Frankfurt am Main (Frankfurt) · 2024
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Exus Westphalia 14. GmbH & Co. KG GmbH & Co. KG · HRA 54618 Frankfurt am Main (Frankfurt) · 2024
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Exus Westphalia 8. GmbH & Co. KG GmbH & Co. KG · HRA 54612 Frankfurt am Main (Frankfurt) · 2026
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Exus Westphalia 9. GmbH & Co. KG GmbH & Co. KG · HRA 54627 Frankfurt am Main (Frankfurt) · 2026
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Frankfurt JF Group GmbH & Co. KG GmbH & Co. KG · HRA 51770 Frankfurt am Main (Frankfurt) · 2021
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Fuller International Frankfurt am Main e. K. e.K. · HRA 50835 Frankfurt am Main (Frankfurt) · 2019
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Garantie Hebel Plan '09 GmbH & Co. KG GmbH & Co. KG · HRA 45217 Frankfurt am Main (Frankfurt) · 2008
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Habona Deutsche Einzelhandelsimmobilien Fonds 02 GmbH & Co. KG GmbH & Co. KG · HRA 46477 Frankfurt am Main (Frankfurt) · 2011
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Habona Deutsche Einzelhandelsimmobilien Fonds 03 GmbH & Co. KG GmbH & Co. KG · HRA 46883 Frankfurt am Main (Frankfurt) · 2012
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itknetwork Frankfurt GmbH & Co. KG GmbH & Co. KG · HRA 44988 Frankfurt am Main (Frankfurt) · 2005
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Randstad Financial Services GmbH GmbH · HRB 46419 Frankfurt am Main (Frankfurt) · 2004
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RREEF European Feeder GmbH & Co. Value Added Fund I KG GmbH & Co. KG · HRA 43968 Frankfurt am Main (Frankfurt) · 2007
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RREEF Pan-European Infrastructure Feeder GmbH & Co. KG GmbH & Co. KG · HRA 42124 Frankfurt am Main (Frankfurt) · 2004
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RREEF Waterfront GmbH & Co. KG GmbH & Co. KG · HRA 45614 Frankfurt am Main (Frankfurt) · 2010
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All industries in Eschborn

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&filters={"city":"Eschborn","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": "Eschborn",
        "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": "Eschborn",
      "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": "Eschborn",
        "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":"Eschborn","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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