Description

Effortlessly scrape comprehensive product data from Amazon category pages, including titles, prices, ratings, and delivery info. Ideal for market research, competitive intelligence, and automation. Features multi-category support, high reliability, fast performance, and structured JSON output.

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Amazon Categories Spider

The Amazon Categories Spider is a powerful Apify Actor designed to scrape product data from Amazon category pages efficiently and reliably. It extracts comprehensive details about products, including titles, prices, ratings, and delivery information, enabling users to gather valuable insights from Amazon's vast marketplace. This tool is ideal for businesses, researchers, and developers seeking automated data collection without manual effort.

Features

• Comprehensive Data Extraction: Captures key product details such as titles, URLs, ratings, prices, discounts, and delivery options from Amazon category pages.
• Multi-Category Support: Allows scraping from multiple Amazon category URLs in a single run, supporting batch processing for efficiency.
• High Reliability: Built with robust error handling and anti-detection measures to ensure consistent data retrieval even from dynamic Amazon pages.
• Fast Performance: Optimized for speed, processing large categories quickly while respecting rate limits to avoid bans.
• Structured Output: Delivers clean, JSON-formatted data ready for analysis, export, or integration with other tools.
• Flexible Configuration: Easy-to-use input parameters for customizing scrapes to specific needs.
• Scalable: Suitable for small-scale research or large-scale data collection projects.

Input Parameters

Parameter	Type	Required	Description	Example
CategoryUrl	array	Yes	A list of Amazon category URLs to scrape. Each URL must be a valid HTTP/HTTPS link to an Amazon category page. Minimum 1 URL required.	["https://www.amazon.in/s?i=electronics&rh=n%3A1389401031&s=popularity-rank&fs=true&ref=lp_1389401031_sar"]

Example Usage

To run the Amazon Categories Spider, provide input in JSON format. Here's an example:

{
  "CategoryUrl": [
    "https://www.amazon.in/s?i=electronics&rh=n%3A1389401031&s=popularity-rank&fs=true&ref=lp_1389401031_sar"
  ]
}

The Actor will process the URLs and output a JSON array of product objects. Example output:

[
  {
    "title": "Motorola Edge 70 Fusion (Pantone Silhouette, 8GB RAM, 128GB Storage) | 6.78\" 1.5K 144Hz AMOLED Display | Snapdragon 7s Gen 4 | 50MP Sony LYTIA 710 OIS Camera | 7000mAh Battery | 68W TurboPower |",
    "product_url": "https://www.amazon.in/Motorola-Pantone-Silhouette-Snapdragon-TurboPower/dp/B0GRMVNTDN/ref=sr_1_1?dib=eyJ2IjoiMSJ9.TLbzo2gmTifezrx5EavB7r_w3S5Z0myrI3zPvchnTIJxRX4ZFlSkJdHi7sO-O42tn6PHxvFHvIdrvUlOYv5U5A37QfO3SAn7237XBaOigzDE2l3S0bOwNfZUh-6W6Dy6MRtncIDHdG61fWtmMi2hy6XKoFvOds8t5qbew1IW2d40f4wP6r2CC4OJ4ZPaNP3fUu-zkPQ8rPeBQEOq9ksvgJ1kP5VICEyoDvyKRUANuwDHHxs-5BNtxp6pVc3sdmAlXqGFPWSq7GagoRlWUAIHdbVmkEg78c90hFNJD3HqcLA.7inWBEv9FwdIwJ3Ew6SD7lrTnb4zEd0iiC5ySd5qkqQ&dib_tag=se&qid=1775473585&s=electronics&sr=1-1",
    "rating_value": "3.3",
    "rating_text": "3.3 out of 5 stars",
    "total_ratings": "9",
    "bought_last_month": null,
    "deal_badge": null,
    "price": "₹26,999",
    "mrp": "₹42,999",
    "discount": "37% off",
    "offer": "Up to 5% back with Amazon Pay ICICI card",
    "free_delivery": "Wed, 8 Apr",
    "fastest_delivery": "Tomorrow, 7 Apr",
    "actor_id": "OXp369tWFk4q7Hbrz",
    "run_id": "sR1n1tKy5TcGRIwcA"
  },
  {
    "title": "vivo T5x 5G (Cyber Green, 6GB RAM, 128GB Storage) | 50MP AI Dual Camera | 32MP Selfie | 6.76\" FHD+ Display | 7200mAh Battery | Dimensity 7400-Turbo Processor | Fast Charging | Dual SIM Smartphone",
    "product_url": "https://www.amazon.in/vivo-Dimensity-7400-Turbo-Processor-Smartphone/dp/B0GTTXP6WF/ref=sr_1_2?dib=eyJ2IjoiMSJ9.TLbzo2gmTifezrx5EavB7r_w3S5Z0myrI3zPvchnTIJxRX4ZFlSkJdHi7sO-O42tn6PHxvFHvIdrvUlOYv5U5A37QfO3SAn7237XBaOigzDE2l3S0bOwNfZUh-6W6Dy6MRtncIDHdG61fWtmMi2hy6XKoFvOds8t5qbew1IW2d40f4wP6r2CC4OJ4ZPaNP3fUu-zkPQ8rPeBQEOq9ksvgJ1kP5VICEyoDvyKRUANuwDHHxs-5BNtxp6pVc3sdmAlXqGFPWSq7GagoRlWUAIHdbVmkEg78c90hFNJD3HqcLA.7inWBEv9FwdIwJ3Ew6SD7lrTnb4zEd0iiC5ySd5qkqQ&dib_tag=se&qid=1775473585&s=electronics&sr=1-2",
    "rating_value": "1.0",
    "rating_text": "1.0 out of 5 stars",
    "total_ratings": "1",
    "bought_last_month": null,
    "deal_badge": null,
    "price": "₹18,999",
    "mrp": "₹28,999",
    "discount": "34% off",
    "offer": "Up to 5% back with Amazon Pay ICICI card",
    "free_delivery": "Wed, 8 Apr",
    "fastest_delivery": "Tomorrow, 7 Apr",
    "actor_id": "OXp369tWFk4q7Hbrz",
    "run_id": "sR1n1tKy5TcGRIwcA"
  },
  {
    "title": "Xiaomi Focus Pen Pro | 16384 Levels of Pressure Sensitivity | Less Than 1ms of Ultra Low Latency",
    "product_url": "https://www.amazon.in/Xiaomi-Levels-Pressure-Sensitivity-Latency/dp/B0GQ3D53LZ/ref=sr_1_3?dib=eyJ2IjoiMSJ9.TLbzo2gmTifezrx5EavB7r_w3S5Z0myrI3zPvchnTIJxRX4ZFlSkJdHi7sO-O42tn6PHxvFHvIdrvUlOYv5U5A37QfO3SAn7237XBaOigzDE2l3S0bOwNfZUh-6W6Dy6MRtncIDHdG61fWtmMi2hy6XKoFvOds8t5qbew1IW2d40f4wP6r2CC4OJ4ZPaNP3fUu-zkPQ8rPeBQEOq9ksvgJ1kP5VICEyoDvyKRUANuwDHHxs-5BNtxp6pVc3sdmAlXqGFPWSq7GagoRlWUAIHdbVmkEg78c90hFNJD3HqcLA.7inWBEv9FwdIwJ3Ew6SD7lrTnb4zEd0iiC5ySd5qkqQ&dib_tag=se&qid=1775473585&s=electronics&sr=1-3",
    "rating_value": "3.4",
    "rating_text": "3.4 out of 5 stars",
    "total_ratings": "25",
    "bought_last_month": null,
    "deal_badge": null,
    "price": "₹5,999",
    "mrp": "₹8,999",
    "discount": "33% off",
    "offer": "Up to 5% back with Amazon Pay ICICI card",
    "free_delivery": "Wed, 8 Apr",
    "fastest_delivery": "Tomorrow 8am - 12pm",
    "actor_id": "OXp369tWFk4q7Hbrz",
    "run_id": "sR1n1tKy5TcGRIwcA"
  }
]

Use Cases

• Market Research: Analyze product trends, pricing strategies, and customer preferences across Amazon categories.
• Competitive Intelligence: Monitor competitors' offerings, prices, and ratings to inform business decisions.
• Price Monitoring: Track price changes, discounts, and deals for dynamic pricing strategies.
• Content Aggregation: Collect product data for blogs, comparison sites, or e-commerce platforms.
• Academic Research: Gather data for studies on consumer behavior, e-commerce trends, or market analysis.
• Business Automation: Automate data feeds for inventory management, sales forecasting, or marketing campaigns.

Installation and Usage

1. Search for "Amazon Categories Spider" in the Apify Store
2. Click "Try for free" or "Run"
3. Configure input parameters
4. Click "Start" to begin extraction
5. Monitor progress in the log
6. Export results in your preferred format (JSON, CSV, Excel)

Output Format

The output is a JSON array of objects, each representing a product from the scraped category. Key fields include:

• title: Product name and specifications.
• product_url: Direct link to the product page.
• rating_value and rating_text: Numerical and textual ratings.
• total_ratings: Number of customer reviews.
• price and mrp: Current price and maximum retail price.
• discount: Percentage off.
• offer: Any promotional offers.
• free_delivery and fastest_delivery: Shipping details.
• actor_id and run_id: Metadata for the scrape run.

Some fields like bought_last_month or deal_badge may be null if not available.

Support

For custom/simplified outputs or bug reports, please contact:

• Email: support@getdataforme.com
• Subject line: "custom support"
• Contact form: https://getdataforme.com/contact/

We're here to help you get the most out of this Actor!