Book publishing companies in Berlin

Berlin ·Currently listed companies in the Book publishing industry headquartered in Berlin.

369 companies · 241–260 of 369

nice papers Q-Verlag Berlin e.K. HRA 37055 Charlottenburg (Berlin) (Berlin) · 2005
9253435df6…
NN Publishing Mitarbeitenden eGbR GsR 817 Charlottenburg (Berlin) (Berlin) · 2024
a9c3d4a863…
Nockemann Verlag UG (haftungsbeschränkt) HRB 119133 Charlottenburg (Berlin) (Berlin) · 2009
1f66ec4a9a…
Notis Verwaltung und Service GmbH HRB 237584 Charlottenburg (Berlin) (Berlin) · 2022
c539848676…
November Publishing GmbH HRB 138888 Charlottenburg (Berlin) (Berlin) · 2011
51c84a444c…
nuvarande Verlagsgesellschaft mbH GmbH · HRB 228180 Charlottenburg (Berlin) (Berlin) · 2021
ca3062b8ae…
Näther Verlag & Co. KG HRA 35983 Charlottenburg (Berlin) (Berlin) · 2004
00370c7edc…
Orlanda Frauenverlag Gesellschaft mit beschränkter Haftung GmbH · HRB 20532 Charlottenburg (Berlin) (Berlin) · 2004
b4783074c0…
ORTEC SERVICE GmbH HRB 95101 Charlottenburg (Berlin) (Berlin) · 2004
aef3898275…
Palmedia Lexikalischer Verlag GmbH HRB 249872 Charlottenburg (Berlin) (Berlin) · 2023
d55a276668…
Papageno-Verlag Dr. Hans Sikorski GmbH HRB 234831 Charlottenburg (Berlin) (Berlin) · 2020
717693314a…
Paradyse Berlin Publishing GmbH HRB 202040 Charlottenburg (Berlin) (Berlin) · 2018
7f6c4c17d5…
PB3C GmbH HRB 130452 Charlottenburg (Berlin) (Berlin) · 2010
1ce193e382…
Pealo GmbH HRB 173619 Charlottenburg (Berlin) (Berlin) · 2016
cad0ddbd71…
Peter Lang GmbH Internationaler Verlag der Wissenschaften HRB 193704 Charlottenburg (Berlin) (Berlin) · 2018
8989b2d71e…
Phaidon Verlag GmbH HRB 73163 Charlottenburg (Berlin) (Berlin) · 2004
330db00a40…
Pinguin Druck GmbH HRB 61570 Charlottenburg (Berlin) (Berlin) · 2004
b63866bf9d…
PLOS GmbH HRB 232476 Charlottenburg (Berlin) (Berlin) · 2021
1943f3707b…
PRIMA VIER Nehring Verlag GmbH HRB 82979 Charlottenburg (Berlin) (Berlin) · 2004
8bd377b747…
Prior Art Publishing GmbH HRB 117128 Charlottenburg (Berlin) (Berlin) · 2009
c8f3400801…

All industries in Berlin

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&skip=240

&filters={"city":"Berlin","industry_code":"58.11.0","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": "Berlin",
        "industry_code": "58.11.0",
        "industry_scheme": "WZ2025"
    },
    limit=20,
    skip=240,
)
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": "Berlin",
      "industry_code": "58.11.0",
      "industry_scheme": "WZ2025"
  },
  limit: 20,
  skip: 240,
});
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": "Berlin",
        "industry_code": "58.11.0",
        "industry_scheme": "WZ2025"
    },
    limit: 20,
    skip: 240,
  });
  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=240' \
  -H 'x-api-key: YOUR_API_KEY' \
  -G --data-urlencode 'filters={"city":"Berlin","industry_code":"58.11.0","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

Cookie Settings

Customize Cookie Settings