Amazon Image Search Scraper

🚀 Amazon Image Search Scraper

Search Amazon by photo. The Amazon Image Search Scraper takes image URLs and returns the Amazon products that look like what is in the picture, with title, brand, price, list price, star rating, review count, product image and a match score. Amazon detects each item in the photo (shoes, bag, top, trousers, sofa, lamp...) and matches every one of them, so a single outfit picture can return products for every piece. Use it for product sourcing, dupe finding, competitor and price research, and matching your own catalogue to Amazon ASINs.

✨ Features

• 📷 Photo in, products out: Any direct JPEG or PNG link (up to 5 MB) or a data: URL. One search per image.
• 🧩 Every item in the photo: Each product Amazon recognizes in the picture gets its own matches, labelled with the detected item (e.g. shoes / fashion_sneaker) and its position in your photo.
• 🏷️ Full product rows: ASIN, product URL, title, brand, price, list price, currency, rating, review count, availability, product group, number of variations and colours, image.
• 📈 Ranked by similarity: Best matches first, with Amazon's own match score; each product appears once per run.
• 🌍 6 Amazon stores: Amazon.com, Amazon.co.uk, Amazon.de, Amazon.it, Amazon.es and Amazon.in, with prices in the store's currency.
• 💸 Pay for results only: Images that fail to load or match nothing are free.

🛠️ How It Works

1. Paste image URLs: product photos, screenshots, outfit or room pictures.
2. Pick the Amazon store and how many products you want per image.
3. Run the scraper: you get one row per matching product, grouped by the image that found it.

💰 Pricing

Event	Price	What you get
Image search	$0.01	One photo searched that returned matching products
Product listing	$0.001	Each matching product saved

A run also has a $0.00005 start fee. Example: 100 photos with 30 matching products each cost 100 × $0.01 + 3,000 × $0.001 = $4.00. Images that cannot be loaded or match nothing are not charged.

📥 Input

Field	Type	Description
imageUrls	array	Image URLs (JPEG/PNG) or data: URLs to search with.
marketplace	string	amazon.com (default), amazon.co.uk, amazon.de, amazon.it, amazon.es, amazon.in.
maxResultsPerImage	integer	Most products to save per image, best matches first. Default 50.
proxyConfiguration	object	Keep the default.

Example:

{
    "imageUrls": ["https://images.unsplash.com/photo-1542291026-7eec264c27ff?w=800"],
    "marketplace": "amazon.com",
    "maxResultsPerImage": 50
}

📊 Sample Output Data

One row per matching product:

[
    {
        "searchImage": "https://images.unsplash.com/photo-1542291026-7eec264c27ff?w=800",
        "position": 1,
        "asin": "B00H86HIIQ",
        "url": "https://www.amazon.com/dp/B00H86HIIQ",
        "title": "Nike Mens Free Flyknit 4.0 Brght Crmsn/White/Unvrsty Rd/T Running Shoe 10.5 M...",
        "brand": "Nike",
        "price": 329.99,
        "listPrice": null,
        "currency": "USD",
        "image": "https://m.media-amazon.com/images/I/612nOLpvStL.jpg",
        "rating": 3.6,
        "reviewCount": 10,
        "availability": "IN_STOCK_SCARCE",
        "productGroup": "shoes",
        "variationCount": 0,
        "colorCount": 0,
        "matchScore": 0.64755917,
        "detectedObject": {
            "label": "shoes",
            "fineLabel": "fashion_sneaker",
            "confidence": 0.9663,
            "box": { "x": 149, "y": 34, "width": 490, "height": 440, "imageWidth": 800, "imageHeight": 533 }
        },
        "marketplace": "amazon.com",
        "scrapedAt": "2026-10-09T09:30:07.257Z"
    },
    {
        "searchImage": "https://images.unsplash.com/photo-1555041469-a586c61ea9bc?w=800",
        "position": 27,
        "asin": "B0D2MHVCQX",
        "url": "https://www.amazon.com/dp/B0D2MHVCQX",
        "title": "Wrofly Cloud Couch for Living Room, 59\" Modern Overstuffed Deep Seat Velvet Loveseat Sofa with 2 Pillows, Comfy Upholstered 2 Seater Love Seat for Bedroom Office, Emerald Green Velvet",
        "brand": "Wrofly",
        "price": 379.99,
        "listPrice": null,
        "currency": "USD",
        "image": "https://m.media-amazon.com/images/I/81n7lBiG9QL.jpg",
        "rating": 4.3,
        "reviewCount": 95,
        "availability": "IN_STOCK",
        "productGroup": "furniture",
        "variationCount": 6,
        "colorCount": 2,
        "matchScore": 0.52353746,
        "detectedObject": {
            "label": "sofa",
            "fineLabel": "sofas-couches",
            "confidence": 0.9977,
            "box": { "x": 81, "y": 198, "width": 642, "height": 250, "imageWidth": 800, "imageHeight": 533 }
        },
        "marketplace": "amazon.com",
        "scrapedAt": "2026-10-09T09:30:15.659Z"
    }
]

listPrice is filled when Amazon shows a crossed-out price. box is the area of your photo, in pixels, where the item was detected.

⚠️ Good to know

• A photo typically returns 10–60 products with full details, more for pictures with several items (an outfit photo returned 74). Amazon decides how many matches it shows; there are no further pages.
• WebP, GIF and AVIF images are not supported. Links that serve several formats (most image CDNs) are fetched as JPEG automatically.
• A product found for one image is not repeated for a later image in the same run.

🔗 Use cases

• Product sourcing and dupes: Find Amazon listings that look like a product you saw anywhere.
• Catalogue matching: Map your SKUs to Amazon ASINs by image instead of by title.
• Price research: Compare prices, list prices and ratings of visually similar products.
• Shop the look: Turn outfit or interior photos into shoppable Amazon products for every item.

🔗 Related Amazon Actors

• Amazon Product & Buy Box Scraper: feed the matched ASINs in for full product details and offers.
• Amazon Bestsellers Scraper: top-selling products by category.
• Amazon Today's Deals Scraper: current Amazon deals and discounts.
• Amazon Storefront Scraper — every product a seller lists on Amazon.
• Amazon Seller Discovery Scraper — find the third-party sellers behind products.
• AliExpress Image Search Scraper — search AliExpress by photo, with retail prices and orders for your country.

Turn pictures into Amazon products: run the Amazon Image Search Scraper today! 🚀