Great questions—let's break this down step by step, since working with Amazon's Product Advertising API (PA-API) comes with specific limitations and workarounds that are important to navigate.

1. How to Fetch Products in a Specific Category (PA-API & Alternatives) #

Using the Product Advertising API #

This is the official, compliant way to get Amazon product data:

• Get the target BrowseNode ID: First, you need the unique ID for your target category. You can use the BrowseNodeLookup operation in PA-API to retrieve child nodes from a root category, or grab the node parameter from the URL of the Amazon category page you're targeting.
• Call the ItemSearch operation: Configure your request with these key parameters:
  • BrowseNode: Set this to your target category's ID.
  • ResponseGroup: Choose groups like Large (for detailed product data) or Items (for basic info) based on your needs.
  • Sort: Use values like relevance or salesrank to control the order of returned products.
• Handle pagination: For PA-API 5.0, use the NextToken parameter to fetch subsequent pages; for older versions, use ItemPage (values 1-10). Keep in mind this hits the 100-product limit we’ll address next.

Alternative Methods (Use With Caution) #

• Selling Partner API (SP-API): If you’re an Amazon seller or have approved developer access, the Catalog Items API in SP-API offers more comprehensive category data. Note that this requires meeting Amazon’s eligibility criteria.
• Compliant Web Scraping: Amazon’s robots.txt prohibits scraping product data for commercial use. If you’re using this for non-commercial, personal projects, you could parse category pages—but this is unstable, risks IP bans, and violates Amazon’s terms for most use cases.

2. Overcoming the 100-Product Limit in PA-API #

PA-API has a hard cap of 10 pages (100 products) per ItemSearch request, so you’ll need to split your query into smaller, targeted chunks and aggregate results:

• Traverse Subcategories: Most large categories have nested sub-BrowseNodes (e.g., "Electronics" → "Smartphones" → "Android Phones"). Use BrowseNodeLookup to get all child nodes of your target category, then run ItemSearch on each subcategory. Each subcategory can return up to 100 products, so aggregating these gives you a much larger dataset.
• Split Queries by Filter Dimensions:
  • Price ranges: Use MinimumPrice and MaximumPrice parameters to split the category into price segments (e.g., $0-$50, $50-$100, etc.) and query each segment separately.
  • Brands: If the category has prominent brands, add the Brand parameter to target each brand individually—this pulls in products that might not show up in a generic category search.
  • Customer ratings: Use CustomerReviews (e.g., 4 star and up) to split products by rating and capture more entries.
• Use Multiple Sort Orders: Run ItemSearch with different Sort values (e.g., salesrank, price, -price, reviewrank). Different sorts will return overlapping but not identical product sets; merging these and removing duplicates gives you more coverage.
• Deduplicate Results: Use the product’s ASIN (Amazon Standard Identification Number) as a unique identifier to remove duplicates across all your query results.

Important note: Always adhere to Amazon’s API usage policies—including rate limits—to avoid having your access restricted.

内容的提问来源于stack exchange，提问作者peter