Gutscheinsammler Shop Search Scraper

Find and export shop search results from Gutscheinsammler in seconds. This Actor turns Gutscheinsammler search queries into clean structured records with shop names, voucher counts, result positions, shop URLs, and logo URLs — ready for CSV, JSON, Excel, APIs, dashboards, and market research workflows.

Use it when you need a reliable way to map German coupon-portal shop coverage, monitor which shops appear for a keyword, or build lightweight datasets for coupon affiliate research without manually searching the website.

Key Features

• Search Gutscheinsammler shops by keyword.
• Automatic pagination through the public search API.
• Configurable maxItems and API page size.
• Clean shop-level output: IDs, names, URLs, logos, voucher counts, search terms, positions, timestamps.
• Relative URLs are normalized into absolute https://www.gutscheinsammler.de URLs.
• Retry, timeout, and backoff handling for transient 429/5xx/network failures.
• Optional Apify Proxy configuration.
• CSV/JSON/Excel-ready Apify dataset output.

How it Works

1. Enter a shop/search keyword such as amazon, otto, or zalando, then choose result limits.
2. Run the Actor on Apify.
3. Download the dataset as JSON, CSV, or Excel, or connect it to your API and automation workflows.

Input Example

{
  "query": "amazon",
  "maxItems": 50,
  "shopLimit": 12,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

Output Sample (JSON format)

{
  "id": 59,
  "name": "Amazon",
  "url": "https://www.gutscheinsammler.de/gutscheine/amazon-de",
  "resource": "https://www.gutscheinsammler.de/gutscheine/amazon-de",
  "logoUrl": "https://www.gutscheinsammler.de/gs/uploads/logos/amazon-de.jpg?1606905964",
  "numVouchers": 8,
  "searchTerm": "amazon",
  "position": 1,
  "scrapedAt": "2026-06-04T14:33:24.228Z"
}

AI & LLM Integration (RAG-Ready)

The Actor returns compact structured records that can be used directly in AI and LLM workflows:

• Store shop-level records in a vector database for coupon-market retrieval and monitoring.
• Feed shop names, URLs, voucher counts, and search positions into lead scoring or competitor-monitoring pipelines.
• Use the dataset as a clean source for RAG systems answering questions about coupon-portal shop coverage.
• Connect Apify dataset exports to MCP, workflow automations, enrichment jobs, or BI dashboards.

Typical Use Cases

• Coupon affiliate market research.
• German voucher-shop discovery.
• SEO and content planning for coupon pages.
• Competitor monitoring across shop names and voucher counts.
• Building clean shop-directory datasets for analysis.

Notes & Limitations

• The Actor searches shop results exposed by Gutscheinsammler search; it does not extract individual coupon codes or voucher terms.
• Result availability and voucher counts reflect the public Gutscheinsammler API response at run time.
• Large batch workflows should use conservative limits and Apify Proxy where appropriate.