Amazon Wishlist Scraper

Turn public Amazon wishlists, registries, and baby lists into clean product datasets. Amazon Wishlist Scraper helps e-commerce teams, market researchers, brands, gift-tech products, and AI builders extract structured wishlist product data without manually scrolling lists or maintaining a custom Amazon scraper.

Use it to collect ASINs, product titles, prices, images, ratings, review counts, quantities, priority labels, product URLs, and list positions from supported Amazon marketplaces. Export the results as JSON, CSV, Excel, or connect the dataset to your API, analytics, or automation pipeline.

Key Features

• Scrapes public Amazon wishlists, registries, and baby-list style URLs.
• Accepts a required full Amazon list URL and derives marketplace/list identifiers internally.
• Supports multiple Amazon marketplaces: com, ca, co.uk, in, de, fr, it, es, co.jp, com.au, com.br, nl, se, com.mx, and ae.
• Handles browser-based infinite scroll and lazy-loaded wishlist products.
• Deduplicates products by ASIN first, then wishlist item ID.
• Extracts product-level fields including ASIN, item ID, title, URL, image, price, currency, byline, rating, review count, variant, quantities, priority, marketplace domain, wishlist ID, and position.
• Locale-aware parsing for prices, ratings, and review counts across Amazon marketplaces.
• Supports maxItems and maxScrolls controls to manage runtime and event-based cost.
• Optional Apify proxy configuration for more reliable browser access.
• CSV/JSON-ready output for analytics, dashboards, enrichment, and AI workflows.

How it Works

1. Enter a public Amazon wishlist, registry, or baby-list URL.
2. Choose extraction limits such as maxItems, maxScrolls, filter, sort order, and optional proxy settings.
3. Run the Actor on Apify and download results as JSON, CSV, Excel, or connect them to an API or automation workflow.

Input Example

{
  "url": "https://www.amazon.com/hz/wishlist/ls/1DRTPQAHX87VA",
  "maxItems": 500,
  "maxScrolls": 100,
  "filter": "unpurchased",
  "sort": "date-added",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

Input Fields

• url — Required full Amazon wishlist, registry, or baby-list URL. The Actor derives the internal wishlist ID and marketplace from this URL.
• maxItems — Maximum number of unique products to save.
• maxScrolls — Safety limit for browser infinite-scroll rounds.
• filter — Wishlist filter. Supported values: unpurchased, all.
• sort — Wishlist sort order. Supported values: date-added, price-asc, price-desc, priority.
• proxyConfiguration — Optional Apify proxy configuration.

Output Sample (JSON format)

{
  "asin": "B0CWZYRC4G",
  "itemId": "I2JDDGKSMEUU3X",
  "title": "Glow Recipe Hue Drops Bronzing Drops, Tinted Face Serum, Glow Primer + Liquid Highlighter, Niacinamide + Hyaluronic Acid, Radiant Warm Glow, Sunglow (40ml)",
  "url": "https://www.amazon.com/dp/B0CWZYRC4G/?coliid=I2JDDGKSMEUU3X&colid=1DRTPQAHX87VA&psc=1&ref_=list_c_wl_lv_vv_lig_dp_it",
  "image": "https://m.media-amazon.com/images/I/315+pYzomZL._SS135_.jpg",
  "currentPrice": 30.92,
  "textPrice": "EUR 30.92",
  "currency": "EUR",
  "byline": "by Glow Recipe (Health and Beauty)",
  "priority": "> medium",
  "quantityWanted": 1,
  "quantityReceived": 0,
  "rating": 4.5,
  "reviewCount": 894,
  "variant": "Size : 1.4 Fl Oz (Pack of 1)",
  "domain": "com",
  "wishlistId": "1DRTPQAHX87VA",
  "position": 1
}

What You Can Do With This Data

• Analyze which products appear in public wishlists and registries.
• Monitor desired products, price ranges, ratings, and review counts.
• Compare wishlist demand signals across Amazon marketplaces.
• Build internal dashboards for gift-list, baby-registry, or product-category intelligence.
• Export wishlist products into spreadsheets for research, merchandising, or reporting.
• Enrich product catalogs using ASINs, product URLs, byline text, images, and marketplace metadata.

AI & LLM Integration (RAG-Ready)

Amazon Wishlist Scraper produces clean JSON records that can be used directly in AI and automation workflows:

• Feed product titles, byline text, prices, ratings, review counts, and variants into LLM-based summarization or classification pipelines.
• Store wishlist product records in vector databases for retrieval-augmented generation (RAG), product discovery, or market-research assistants.
• Use the dataset as a source for Model Context Protocol (MCP) tools that answer questions about wishlist products, prices, brands, and list positions.
• Build AI-powered workflows for product clustering, gift recommendation analysis, competitor monitoring, or assortment research.
• Combine ASINs and product URLs with downstream enrichment tools for deeper product intelligence.

Notes and Limitations

• The Actor is designed for public Amazon wishlists, registries, and baby-list style pages. Private or restricted lists may not be accessible.
• Amazon can vary page layout, language, currency formatting, and anti-bot behavior by marketplace, session, IP, and browser environment.
• Date-added fields are not reliably available in anonymous public DOM sessions and are not emitted by this Actor.
• Longer lists require more browser scrolling, runtime, and proxy traffic. Use maxItems and maxScrolls to control cost.