Computer consultancy activities companies in Bad Vilbel

Bad Vilbel ·Currently listed companies in the Computer consultancy activities industry headquartered in Bad Vilbel.

65 companies · 41–60 of 65

Miodo Data Tech GmbH GmbH · HRB 128520 Frankfurt am Main (Frankfurt) · 2022
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NEVOTEC IT-Service GmbH GmbH · HRB 105557 Frankfurt am Main (Frankfurt) · 2016
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Palimba Technologies GmbH GmbH · HRB 105155 Frankfurt am Main (Frankfurt) · 2016
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Panorama Consulting GmbH GmbH · HRB 55328 Frankfurt am Main (Frankfurt) · 1994
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Philia A GmbH GmbH · HRB 128647 Frankfurt am Main (Frankfurt) · 2017
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Philia B GmbH GmbH · HRB 129395 Frankfurt am Main (Frankfurt) · 2017
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Philia C GmbH GmbH · HRB 128678 Frankfurt am Main (Frankfurt) · 2017
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Planeta Consulting GmbH GmbH · HRB 134553 Frankfurt am Main (Frankfurt) · 2023
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SBB GmbH Sorber Beratung und Beteiligung GmbH · HRB 105024 Frankfurt am Main (Frankfurt) · 2008
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SC & E Advisory GmbH GmbH · HRB 138392 Frankfurt am Main (Frankfurt) · 2025
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Sciformation Consulting GmbH GmbH · HRB 90599 Frankfurt am Main (Frankfurt) · 2011
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SINOVO business solutions GmbH GmbH · HRB 46477 Frankfurt am Main (Frankfurt) · 1999
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SIX DATENSCHUTZ GmbH GmbH · HRB 114410 Frankfurt am Main (Frankfurt) · 2019
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Smart Energy Media UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 97312 Frankfurt am Main (Frankfurt) · 2013
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Social AI Strategy UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 135382 Frankfurt am Main (Frankfurt) · 2024
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Sputnik Consulting UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 137873 Frankfurt am Main (Frankfurt) · 2016
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SR Consulting GmbH GmbH · HRB 115589 Frankfurt am Main (Frankfurt) · 2015
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SSC Prime Sec GmbH GmbH · HRB 127691 Frankfurt am Main (Frankfurt) · 2022
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teamgrimpe Consulting GmbH GmbH · HRB 100298 Frankfurt am Main (Frankfurt) · 2014
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Thomas Witt Consulting GmbH GmbH · HRB 85533 Frankfurt am Main (Frankfurt) · 2000
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All industries in Bad Vilbel

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&skip=40

&filters={"city":"Bad Vilbel","industry_code":"62.20.1","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": "Bad Vilbel",
        "industry_code": "62.20.1",
        "industry_scheme": "WZ2025"
    },
    limit=20,
    skip=40,
)
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": "Bad Vilbel",
      "industry_code": "62.20.1",
      "industry_scheme": "WZ2025"
  },
  limit: 20,
  skip: 40,
});
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": "Bad Vilbel",
        "industry_code": "62.20.1",
        "industry_scheme": "WZ2025"
    },
    limit: 20,
    skip: 40,
  });
  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&skip=40' \
  -H 'x-api-key: YOUR_API_KEY' \
  -G --data-urlencode 'filters={"city":"Bad Vilbel","industry_code":"62.20.1","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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