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Manor Reviews Parser Spider

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Manor Reviews Parser Spider

Manor Reviews Parser Spider

The Manor Parser Spider extracts structured product data from Manor.ch category pages, including titles, brands, prices, availability, reviews, and images—perfect for e-commerce analytics, catalog enrichment, and competitive price tracking.

Pricing

from $9.00 / 1,000 results

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0.0

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Developer

GetDataForMe

GetDataForMe

Maintained by Community

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2

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2

Monthly active users

8 days ago

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🕷️ Manor Parser Spider

The Manor Parser Spider is an Apify Actor designed to scrape detailed product data from Manor.ch — Switzerland’s popular online retailer. It extracts complete product information including metadata, pricing, brand, description, reviews, and availability directly from the category pages you provide.


📘 How It Works

Simply provide one or more category URLs from the Manor website. The Actor will automatically crawl all listed products in that category and return structured JSON data containing each product’s details.

This scraper is ideal for:

  • Price and inventory tracking
  • Product catalog enrichment
  • Market analysis and product comparison
  • E-commerce research

⚙️ Input Example

{
"proxy": {
"useApifyProxy": true,
"apifyProxyGroups": ["RESIDENTIAL"],
"apifyProxyCountry": "US"
},
"CategoryUrl": [
"https://www.manor.ch/de/shop/wein/wein-sortiment/rotwein/italien/c/wine-redwine-italy"
]
}

Input Fields

FieldTypeDescription
proxyobjectProxy configuration. Use Apify residential proxy for best results.
useApifyProxybooleanEnables the Apify Proxy.
apifyProxyGroupsarrayRecommended: ["RESIDENTIAL"] for smooth scraping.
apifyProxyCountrystringCountry code for the proxy (e.g., "US").
CategoryUrlarrayOne or more category URLs from Manor.ch. The scraper will extract all product details from these pages.

📤 Output Example

The Actor outputs structured JSON with detailed product information:

[
{
"source_metadata": {
"source_id": "manor.ch",
"source_url": "https://www.manor.chhttps://www.manor.ch/p/42675002",
"extraction_timestamp": "2025-10-19T11:49:23.814971",
"scraper_version": "1.0.0"
},
"product": {
"product_id": "42675002",
"title": "2016, Superiore Magnum, Ripasso della Valpolicella DOP",
"description": "<p>Der Ripasso wird nach einem alten, traditionellen Verfahren hergestellt...</p>",
"category": [
"Grossflaschen",
"all-wines",
"wine",
"Web",
"wine-redwine-italy",
"redwine",
"ageverification"
],
"brand": "Montecampo",
"gtin": "8002235033589",
"size": "75 cl"
},
"pricing": {
"currency": "CHF",
"price": 31.9,
"formatted_price": "31.90"
},
"availability": {
"status": "IN_STOCK",
"level": 74
},
"attributes": {
"average_rating": 0,
"review_count": 0
},
"images": {
"desktop": "https://i8.amplience.net/i/manor/42675002"
},
"reviews": [],
"actor_id": "CANMy4MGXEJgXZiRh",
"run_id": "DjWHEjp6VAcrwXrCm"
}
]

🌟 Features

  • 🔍 Extracts complete product data: name, brand, price, GTIN, category, and more
  • 🧾 Captures structured descriptions and formatted pricing
  • 💬 Includes review details with ratings and user info when available
  • 🖼️ Collects multiple image URLs for desktop, tablet, and mobile
  • 🕒 Adds metadata such as extraction timestamp and scraper version

💡 Use Cases

  • E-commerce Analytics: Monitor product and pricing trends in the Swiss retail market
  • Competitive Intelligence: Compare Manor’s listings with other marketplaces
  • Catalog Enrichment: Feed clean, structured product data into your own system
  • Research & Data Projects: Ideal for academic or business data analysis

🧠 Notes

  • Always use Residential Proxy for stable performance.
  • The scraper automatically handles pagination within category pages.
  • All timestamps are in ISO 8601 format.
  • The output follows a consistent schema for easy downstream integration.

🛠️ Support

For custom features, bug reports, or data extraction tailored to your needs: 📧 support@getdataforme.com 🌐 https://getdataforme.com/contact/

Tip: When emailing us, please include the subject line: Manor Parser Spider - Support Request


🧩 Version

Current release: v1.0.0 Maintainer: GetDataForMe Team Source: https://getdataforme.com