Pricing

from $2.00 / 1,000 business founds

Gelbe Seiten Scraper - German Business Directory

Scrape business data from Gelbe Seiten (gelbeseiten.de), Germany's Yellow Pages directory. Extract names, addresses, phone numbers, emails, websites, opening hours, ratings, and categories from millions of German businesses.

Pricing

from $2.00 / 1,000 business founds

Rating

0.0

(0)

Developer

Alessandro Santamaria

Actor stats

Bookmarked

Total users

Monthly active users

a day ago

Last modified

What data can you extract?

For each business listing, the scraper extracts:

Business name and categories
Phone number, fax, and email
Full address with street, postal code, and city
Website URL
GPS coordinates (latitude/longitude)
Opening hours
Ratings and review counts (from golocal.de integration)
Logo image URL

How to use

Option 1: Search URL

Paste a Gelbe Seiten search URL directly:

{
  "searchUrls": ["https://www.gelbeseiten.de/suche/zahnarzt/muenchen"],
  "maxResults": 100,
  "includeDetails": true
}

Option 2: Search query + location

Provide a search term and city:

{
  "searchQuery": "restaurant",
  "location": "hamburg",
  "maxResults": 50,
  "includeDetails": true
}

Input parameters

Parameter	Type	Default	Description
`searchUrls`	array	-	Gelbe Seiten search result URLs
`searchQuery`	string	-	Search keyword (used if searchUrls is empty)
`location`	string	`berlin`	City or region name
`maxResults`	integer	`100`	Maximum businesses to scrape (1-10,000)
`includeDetails`	boolean	`true`	Fetch detail pages for full data (coordinates, hours, etc.)
`proxyConfiguration`	object	Apify proxy	Proxy settings

Output example

{
  "id": "76c6287c-fd53-42c9-b378-6ead68a639ad",
  "name": "GFAD Softwarehaus GmbH",
  "website": "https://itservice.gfad.de/",
  "phone": "030 26 91 11",
  "email": "info@gfad.de",
  "address": "Huttenstr. 34 -35, 10553 Berlin",
  "city": "Berlin",
  "postal_code": "10553",
  "country": "Germany",
  "country_code": "DE",
  "latitude": 52.529408,
  "longitude": 13.314976,
  "categories": ["Software"],
  "opening_hours": ["Mo-Fr 09:00-18:00"],
  "rating": 4.5,
  "review_count": 12,
  "source_url": "https://www.gelbeseiten.de/gsbiz/76c6287c-fd53-42c9-b378-6ead68a639ad",
  "source_platform": "gelbeseiten.de",
  "scraped_at": "2026-03-26T10:00:00Z"
}

Performance

Memory: 128 MB (Go binary with TLS fingerprinting)
Speed: ~50 businesses/page, ~1.5s delay between requests
SERP only mode: Set includeDetails: false for faster scraping with basic data
Detail mode: Full data including coordinates, opening hours, fax, and categories

Tips

Use German search terms for best results (e.g., "Zahnarzt" instead of "dentist")
Location names work in German (e.g., "Muenchen", "Koeln", "Nuernberg")
Datacenter proxy works well -- no residential proxy needed
The scraper extracts email from embedded chat widget data, even when not visually displayed

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