Gelbeseiten Scraper

hipersoft/gelbeseiten-scraper

Scrape Gelbeseiten (German Yellow Pages) businesses: name, category, phone, address, postal code, city, website and profile URL. Search by business type and location. No setup.

Run this scraper →See the API call

Total users

Monthly users

Total runs

Per business scraped

$0.003

Last rebuilt

Oct 26, 2026

Overview

Scrape Gelbeseiten — Germany's leading Yellow Pages business directory — into clean JSON, CSV, Excel or XML. Extract business name, category, phone, full address, postal code, city, website and profile URL for any business type in any German city. Fast and reliable.

Gelbeseiten Scraper input — what, where and maxItems in the Apify Console

What does Gelbeseiten Scraper do?

The Gelbeseiten Scraper crawls Gelbeseiten search results and extracts every listed business as a structured record. Enter a business type (Branche) and city, or paste a Gelbeseiten search URL, and it exports a clean dataset of German businesses with their phone numbers, addresses and websites — a fast way to build German B2B lead and prospecting lists.

What data can you scrape from Gelbeseiten?

Data	Fields
🏢 Business	name, category (Branche), Gelbeseiten profile URL
☎️ Phone	contact number
📍 Address	street address, postal code (PLZ), city
🌐 Website	listed website
📏 Distance	distance in km from the search center
🕒 Meta	source search URL, collected timestamp

Use cases

German B2B lead generation — build phone and address lists of businesses by Branche and city.
Local-market research — measure business density by category across German cities and regions.
Sales prospecting — target restaurants, tradespeople, clinics, law firms and more for outreach.
Competitor mapping — see who operates in a given city and how they are categorized.
CRM enrichment — append phone, address, postal code and website to existing German company records.
Directory & dataset building — compile category-specific business directories at scale.

How to scrape Gelbeseiten data

Add the Gelbeseiten Scraper to your Apify account.
Enter a business type in what and a city in where, or paste a Gelbeseiten search URL into startUrls.
Set maxItems to cap how many businesses you collect.
Click Run and watch results stream into the dataset.
Export to JSON, CSV, Excel or XML, or pull them through the Apify API.

Input

Enter a keyword (what) and a city (where), or paste a Gelbeseiten search URL. Cap the run with maxItems.

Example input

{ "what": "zahnarzt", "where": "hamburg", "maxItems": 50 }

Field	Description
`what`	Business type or keyword (German), e.g. `klempner`, `restaurant`, `zahnarzt`, `rechtsanwalt`, `friseur`.
`where`	City or region, e.g. `berlin`, `muenchen`, `hamburg`.
`startUrls`	Gelbeseiten search URLs copied from gelbeseiten.de. Overrides `what`/`where`.
`maxItems`	Maximum number of businesses to return.

Output

Each business is one clean record:

{
  "id": "120095491687",
  "name": "Alois Dallmayr Kaffee OHG",
  "category": "Gaststätten und Restaurants",
  "phone": "089 2 13 50",
  "address": "Dienerstr. 14 -15, 80331 München (Altstadt)",
  "postalCode": "80331",
  "city": "München",
  "distanceKm": 1.2,
  "website": null,
  "url": "https://www.gelbeseiten.de/gsbiz/d3d44b3c-042d-4978-8d81-fdecbab9dcb5",
  "sourceUrl": "https://www.gelbeseiten.de/suche/restaurant/muenchen",
  "collectedAt": "2026-07-30T12:00:00.000Z"
}

Gelbeseiten Scraper output example — business name, category, phone and address as structured JSON

Output schema

Field	Type	Description
`id`	string	Unique Gelbeseiten business identifier.
`name`	string	Business name.
`category`	string	Business category (Branche).
`phone`	string	Contact phone number.
`address`	string	Full street address as listed.
`postalCode`	string	Postal code (PLZ).
`city`	string	City where the business is located.
`distanceKm`	number	Distance in kilometers from the search center.
`website`	string	Listed website URL, or null if none.
`url`	string (URL)	Gelbeseiten profile page URL.
`sourceUrl`	string (URL)	Search results page the record was collected from.
`collectedAt`	string (ISO date)	Timestamp when the record was scraped.

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FAQ

How many businesses can I scrape? As many as the search returns — set maxItems to cap the run, or run multiple searches to cover more categories and cities.

Do I need any setup or a login? No setup and no login. Just add the actor, enter a keyword and city (or a search URL), and run.

How does billing work? You pay only per business you get — no subscription. Our per-item price floors 20% below the cheapest comparable scraper.

What export formats are supported? JSON, CSV, Excel and XML, plus the Apify API for programmatic access.

Can I scrape a specific city or category? Yes — set what (Branche) and where (city), or paste a Gelbeseiten search URL into startUrls for exact targeting.

How fresh is the data? Each run fetches live listings, so results reflect Gelbeseiten at the moment you run the actor. The collectedAt field timestamps every record.

Is it legal? The actor returns only publicly available data. You are responsible for complying with Gelbeseiten's terms and applicable data and marketing laws, including GDPR.

Can I connect it to my other tools? The Gelbeseiten Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. It works with Make, Zapier, Slack, Airbyte, GitHub, Google Drive and many more, plus the Apify API, JavaScript/Python clients and MCP. Or use webhooks to trigger an action whenever a run finishes.

Notes

Original clean-room implementation. Returns only public data; you are responsible for compliance with Gelbeseiten's terms. Not affiliated with Gelbeseiten.

Input

Field	Type	Description
`what` Business type	string	Business type / keyword (German), e.g. klempner, restaurant, zahnarzt, rechtsanwalt, friseur.
`where` Location	string	City or region, e.g. berlin, muenchen, hamburg. Leave empty for all Germany.
`startUrls` Gelbeseiten URLs	array	Optional Gelbeseiten search URLs (copy from gelbeseiten.de). Overrides what/where.
`maxItems` Max businesses	integer	Maximum businesses to scrape (about 50 per search). Default: `200`

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~gelbeseiten-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "what": "klempner",
  "where": "berlin"
}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/gelbeseiten-scraper").call(run_input={
    "what": "klempner",
    "where": "berlin"
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/gelbeseiten-scraper').call({
  "what": "klempner",
  "where": "berlin"
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Event	Price	Paid plans from
Business scraped One business record scraped.	$0.003	$0.0015
Page loaded One Gelbeseiten results page fetched.	$0.0008	$0.0008

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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