Computer consultancy activities companies in Frankfurt am Main

Frankfurt am Main ·Currently listed companies in the Computer consultancy activities industry headquartered in Frankfurt am Main.

2163 companies · 101–120 of 2163

Alpine Grove (Germany) GmbH HRB 75514 Frankfurt am Main (Frankfurt) · 2005
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Alpinum Solutions GmbH HRB 127815 Frankfurt am Main (Frankfurt) · 2022
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alseda GmbH HRB 58254 Frankfurt am Main (Frankfurt) · 2004
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alseda Services GmbH HRB 111747 Frankfurt am Main (Frankfurt) · 2016
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Alta Vista Corporate Finance Beratung GmbH HRB 44366 Frankfurt am Main (Frankfurt) · 2004
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ALVA Contax GmbH HRB 8297 Königstein (Königstein im Taunus) · 2011
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Alvantiq UG (haftungsbeschränkt) HRB 142791 Frankfurt am Main (Frankfurt) · 2026
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Am Main Consulting e. K. HRA 47073 Frankfurt am Main (Frankfurt) · 2012
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Amadeus Fire EduTech GmbH HRB 132219 Frankfurt am Main (Frankfurt) · 2023
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Amalia Technologies GmbH HRB 131905 Frankfurt am Main (Frankfurt) · 2023
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Amaris Deutschland GmbH HRB 111310 Frankfurt am Main (Frankfurt) · 2011
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Ambassador Management GmbH HRB 136601 Frankfurt am Main (Frankfurt) · 2024
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Amber Light GmbH HRB 131511 Frankfurt am Main (Frankfurt) · 2023
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Amnon Ram Consulting UG (haftungsbeschränkt) HRB 126366 Frankfurt am Main (Frankfurt) · 2022
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Amodes GmbH HRB 118892 Frankfurt am Main (Frankfurt) · 2020
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AmperaVision GmbH HRB 134550 Frankfurt am Main (Frankfurt) · 2024
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Ampstek Germany GmbH HRB 125274 Frankfurt am Main (Frankfurt) · 2021
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ANANTHYA GmbH HRB 137980 Frankfurt am Main (Frankfurt) · 2025
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Anaplan Germany GmbH HRB 111311 Frankfurt am Main (Frankfurt) · 2018
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Ancorise GmbH HRB 134131 Frankfurt am Main (Frankfurt) · 2024
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All industries in Frankfurt am Main

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&skip=100

&filters={"city":"Frankfurt am Main","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": "Frankfurt am Main",
        "industry_code": "62.20.1",
        "industry_scheme": "WZ2025"
    },
    limit=20,
    skip=100,
)
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": "Frankfurt am Main",
      "industry_code": "62.20.1",
      "industry_scheme": "WZ2025"
  },
  limit: 20,
  skip: 100,
});
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": "Frankfurt am Main",
        "industry_code": "62.20.1",
        "industry_scheme": "WZ2025"
    },
    limit: 20,
    skip: 100,
  });
  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=100' \
  -H 'x-api-key: YOUR_API_KEY' \
  -G --data-urlencode 'filters={"city":"Frankfurt am Main","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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