Zoll Auktion Scraper
Pricing
from $4.50 / 1,000 results
Zoll Auktion Scraper
🏛️ Zoll-Auktion Pro Scraper Deep-crawl official German customs auctions (Zoll-Auktion). This Actor allows you to extract detailed data from Zoll-Auktion.de, supporting both keyword-based searches and full category extractions.
Pricing
from $4.50 / 1,000 results
Rating
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Developer
tzur gvili
Actor stats
0
Bookmarked
2
Total users
1
Monthly active users
2 months ago
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Zoll-Auktion Scraper Actor
A professional web scraper for Zoll-Auktion, specializing in electronics, vehicles, and various other categories. This Actor can perform deep crawls of specific categories or keyword-based searches across the entire platform.
Features
- Categorized Scraping: Select from 17 different categories (Electronics, Vehicles, Clothing, etc.).
- Keyword Search: Search for specific items (e.g., "laptop", "apple") across all categories.
- Deep Crawling: Configurable pagination support to scrape hundreds of listings in one run.
- Structured Output: Produces clean JSON data including titles, prices, bid counts, end times, and locations.
- Standby Mode Ready: Efficiently handles readiness probes and graceful shutdowns.
- Local Freshness: Automatically clears local datasets when running on your machine for a clean developer experience.
Input Parameters
| Field | Type | Description | Default |
|---|---|---|---|
searchQuery | String | Keyword to search for (e.g., "apple"). Overrides category selection. | "" |
category | Enum | The specific category to scrape. | Electronics |
maxPages | Integer | Maximum number of pages to crawl per run. | 100 |
Output Data Structure
The Actor stores results in a Dataset where each item represents an auction with the following fields:
title: The title of the auction listing.link: Direct URL to the product page.location: The item's physical location.end_time: Remaining time or end date of the auction.bids: Current bid status.price: Current price (e.g., "150,00 €").leading_number: An extractable numeric identifier from the title.scrape_date: Timestamp of when the data was captured.
