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URL: https://apify.com/lissome_tequila/zoll-auktion-scraper

⇱ Zoll Auktion Scraper Β· Apify


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Zoll Auktion Scraper

πŸ›οΈ 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

0.0

(0)

Developer

πŸ‘ tzur gvili

tzur gvili

Maintained by Community

Actor stats

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Bookmarked

2

Total users

0

Monthly active users

4 months ago

Last modified

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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

FieldTypeDescriptionDefault
searchQueryStringKeyword to search for (e.g., "apple"). Overrides category selection.""
categoryEnumThe specific category to scrape.Electronics
maxPagesIntegerMaximum 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.

Resources

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