Amazon Product Details Scraper ( Single & Rental )

Amazon Product Details Scraper

The Amazon Product Details Scraper extracts structured product information from one or more Amazon product pages. It is designed for users who need product-level data for research, catalog analysis, competitive research, pricing studies, dataset creation, or other workflows that benefit from structured Amazon product information.

Provide direct Amazon product URLs through the Start URLs input, run the Actor, and receive a structured dataset containing product details such as title, pricing, rating, review count, availability, ASIN, brand, category, images, variations, seller information, specifications, features, shipping information, Best Sellers Rank, and other available product metadata.

This Actor is intended for product URLs, not Amazon search-result URLs. For Amazon search scraping, use an Amazon Search Scraper designed specifically for search pages.

What Is an Amazon Product Details Scraper?

An Amazon Product Details Scraper is a data extraction tool focused on individual Amazon product pages. Instead of collecting search listings, it reads the product page supplied by the user and returns the product information available from that page in structured form.

This makes it useful when the goal is to collect detailed information about known products rather than discover products through Amazon search.

The workflow is straightforward:

Amazon product URL → product page processing → structured product dataset

The returned records can support product research, marketplace analysis, catalog enrichment, pricing comparison, competitor research, and other data-driven workflows.

Key Features

Feature	Description	User Benefit
Direct product URL processing	Accepts one or more Amazon product page URLs	Analyze specific products directly
Structured product data	Returns product information as structured records	Easier analysis and dataset creation
Pricing information	Extracts current displayed price and original price when available	Supports price research and comparison
Product identification	Extracts ASIN, title, brand, category, and URL	Helps organize product datasets
Ratings and reviews	Collects displayed rating and customer review count when available	Useful for product research
Product attributes	Extracts variations, specifications, and feature information	Provides richer product-level context
Seller information	Captures seller and fulfillment information when available	Supports seller and marketplace research
Product images	Collects available product image URLs	Useful for catalog and visual-data workflows
Availability details	Extracts displayed availability information	Adds inventory-status context to records
Shipping information	Collects available primary delivery information	Adds fulfillment-related product context

What Data Can You Extract?

The Amazon Product Details Scraper returns a broad set of product-page fields. The exact availability of some values can vary from one Amazon product page to another.

Product Identity

Each successful record can include the source URL, product title, ASIN, brand, and category. These fields are useful for identifying and organizing products across a dataset.

Pricing

The Actor extracts the displayed price, original_price, discount, and currency values when available. The discount field is represented from the detected original price to the detected current price.

Ratings and Reviews

Product pages can provide a rating and num_reviews value. These fields can help with product comparison, marketplace research, and review-oriented analysis.

Availability and Delivery

The scraper can return availability and shipping_info, allowing users to retain displayed availability and primary delivery information with the rest of the product record.

Product Content

The output may include the product description generated from feature-bullet content as well as a separate features array. This provides structured access to important product selling points displayed on the page.

Product Structure

Additional fields include variations, specifications, seller, fulfilled_by, qna_count, and date_first_available. These fields can be particularly useful when building detailed product datasets.

Images

The images field contains product image URLs detected from the product page, providing a convenient way to retain image references alongside product metadata.

Why Use This Actor?

Manual collection of detailed product information can become repetitive when many Amazon product pages need to be reviewed. This Actor turns direct product URLs into structured records, making repetitive product data collection easier to organize.

It can be useful when you already have a list of Amazon product pages and want to transform those URLs into a consistent dataset.

Common benefits include:

• Automated collection from multiple product URLs
• Consistent structured records
• Easier product comparison
• Support for research and analysis workflows
• Reduced repetitive manual copying
• Product dataset creation from known URLs
• Access to multiple product attributes in one record

How to Use the Amazon Product Details Scraper

Using the Actor requires only the supported Amazon product URLs.

1. Open the Actor input page.
2. Add one or more direct Amazon product URLs under Start URLs.
3. Configure the Proxy Configuration when needed.
4. Start the Actor.
5. Review the resulting dataset and product records.

Use a direct product page URL such as an Amazon URL containing a product page or /dp/ product path. Do not provide an Amazon search-results URL when using this Actor.

For large runs, starting with a small sample is a practical way to confirm that the supplied product URLs and expected fields are producing the information you need.

Input

The primary input is a list of Amazon product URLs.

Input Fields

Field	Type	Required	Default	Description
startUrls	Array	Yes	—	One or more Amazon product URLs to process
proxyConfiguration	Object	No	Apify Residential Proxy prefilled	Proxy configuration available to the Actor

The startUrls field uses Apify's request-list input editor and accepts multiple entries. Each entry should contain an Amazon product URL.

The preconfigured proxy setting uses the Apify RESIDENTIAL proxy group. The input description specifically recommends residential proxy usage for this Actor.

Input Example

{
  "startUrls": [
    {
      "url": "https://www.amazon.com/dp/B0C4NPQLVN"
    },
    {
      "url": "https://www.amazon.com/dp/B0DCMH6T7X"
    }
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}

The URLs above are examples of the expected structure. In actual runs, replace them with the Amazon product pages you want to process.

Output

The Actor produces structured product records in the dataset. A successful product record contains the following fields:

Field	Description
url	Amazon product URL that was processed
title	Product title
price	Detected current displayed price
original_price	Detected original or previous displayed price, when available
discount	Original-price to current-price representation when both are available
currency	First detected currency character from the price
rating	Product rating value detected from the page
num_reviews	Displayed customer review count
availability	Displayed product availability information
description	Combined product feature-bullet text
ASIN	Amazon Standard Identification Number
brand	Brand or byline information detected from the page
category	Product category breadcrumb information
images	Detected product image URLs
variations	Detected variation text
best_seller_rank	Detected Best Sellers Rank information
shipping_info	Primary displayed delivery information
specifications	Key-value product specifications
features	Product feature bullets
seller	Seller information when available
fulfilled_by	Fulfillment or merchant information when available
qna_count	Displayed product questions-and-answers count when available
date_first_available	Displayed date first available when present

Not every product page is guaranteed to contain every field. When information is unavailable or cannot be detected from a particular product page, the corresponding value may be empty.

For a URL that cannot be successfully processed after the Actor's attempts, an error record can be produced containing the url and error fields.

Output Example

{
  "url": "https://www.amazon.com/dp/B0C4NPQLVN",
  "title": "Example Product Title",
  "price": "$49.99",
  "original_price": "$59.99",
  "discount": "$59.99 → $49.99",
  "currency": "$",
  "rating": "4.5",
  "num_reviews": "1,234 ratings",
  "availability": "In Stock",
  "description": "Example feature one Example feature two",
  "ASIN": "B0C4NPQLVN",
  "brand": "Example Brand",
  "category": "Electronics > Example Category",
  "images": [
    "https://example.com/product-image.jpg"
  ],
  "variations": [
    "128GB",
    "256GB"
  ],
  "best_seller_rank": "#123 in Example Category",
  "shipping_info": "Delivery available",
  "specifications": {
    "Brand": "Example Brand",
    "Model": "Example Model"
  },
  "features": [
    "Example feature one",
    "Example feature two"
  ],
  "seller": "Example Seller",
  "fulfilled_by": "Example fulfillment information",
  "qna_count": "25 answered questions",
  "date_first_available": "January 1, 2026"
}

Values in this example are illustrative and show the output structure rather than representing a guaranteed Amazon product result.

Use Cases

The Amazon Product Details Scraper can support several product-focused workflows.

Product Research

Collect structured information from a list of known products for research projects, product discovery studies, or marketplace analysis.

Competitive Research

Compare pricing, ratings, review counts, product attributes, seller information, and other visible product-page data across selected products.

Catalog Enrichment

Use product URLs as the starting point for building richer internal product datasets containing identifiers, categories, specifications, features, and image references.

Pricing Analysis

Collect displayed current and original pricing information from selected product pages to support price comparison and historical research workflows.

Marketplace Intelligence

Combine product metadata, seller information, ratings, availability, and other fields to support broader marketplace data analysis.

Dataset Creation

Transform lists of Amazon product URLs into structured datasets that can be reviewed, filtered, analyzed, or incorporated into downstream workflows.

Advantages

The main strength of this Actor is its focus on individual Amazon product pages and the breadth of product-level information returned in each record.

Instead of manually copying multiple details from each page, users can provide a list of product URLs and receive structured fields covering product identity, pricing, ratings, content, specifications, seller information, and other available metadata.

The result is particularly useful when product URLs are already known and the goal is detailed product-level collection rather than search-result discovery.

Pros and Cons

Pros	Cons
Supports multiple Amazon product URLs	Designed for product URLs rather than Amazon search URLs
Returns many product-level fields	Some fields may be unavailable on individual pages
Provides structured dataset records	Results can vary with page content
Includes pricing, ratings, seller, specifications, and images when detected	A failed page may produce an error record
Residential proxy configuration is available	Successful extraction depends on the supplied product page being accessible

Comparison With Alternative Approaches

Capability	This Actor	Manual / Typical Alternative
Multiple product URLs	Supported	Often handled one page at a time
Structured product records	Supported	May require manual formatting
Product pricing fields	Supported when available	Manually copied
Product specifications	Supported when available	Manually collected
Seller and fulfillment details	Supported when available	Manual page review
Product image URLs	Supported when detected	Manual extraction or separate tooling
Dataset-oriented workflow	Supported	Requires additional organization

This comparison is intended to describe workflow differences, not to claim that one approach is universally better.

Competitive Advantages

Users may choose this Actor when they have a defined list of Amazon product URLs and need a broad collection of product-page information in a structured format.

Its practical strengths include:

• A simple URL-based input workflow
• Support for multiple product URLs
• Detailed product-level fields
• Structured dataset output
• Pricing, review, seller, specification, and image information in the same record
• Residential proxy configuration through the Actor input

These strengths make the Actor suitable for workflows where consistent product-page data is more important than search-result discovery.

Limitations

The Actor is specifically designed for Amazon product URLs, so it should not be used as a replacement for an Amazon search scraper.

Some information is page-dependent. Amazon product pages can differ by product, marketplace, availability, variations, and page structure, so certain fields may be empty when the expected information is not present.

A product URL can also fail to produce a successful record. In that situation, the Actor can continue processing other URLs and record an error for the affected URL.

For detailed workflows, validate a small set of returned records before relying on the dataset for large-scale analysis.

Best Practices

• Use direct Amazon product-page URLs rather than search-result URLs.
• Test a small number of product URLs before processing a larger list.
• Review empty fields because not all Amazon pages expose the same information.
• Use the recommended residential proxy configuration when appropriate.
• Validate important pricing, availability, seller, and specification information before making business decisions.
• Keep product URLs clean and ensure they point to the intended products.
• Treat scraped values as page-level observations that may change over time.

Troubleshooting

Invalid Input

Check that every entry in startUrls contains a valid Amazon product URL. Search-result URLs should be processed by a search-focused Actor instead.

Empty Results

Confirm that the supplied URL points to an accessible Amazon product page and that the product page contains the information you expect.

Partial Results

Partial data can occur when certain fields are not present or not available on a specific product page. Review the returned record field by field before treating missing values as meaningful.

Missing Fields

Fields such as specifications, Best Sellers Rank, seller information, questions-and-answers count, or date first available may not be available for every product. Empty values should therefore be expected in some records.

Temporary Failures

A particular product URL may fail during processing. Check the affected URL, review its accessibility, and retry the run when appropriate. The Actor can record an error for a URL that cannot be successfully processed.

Frequently Asked Questions

What does the Amazon Product Details Scraper do?

It extracts structured information from Amazon product pages supplied through the startUrls input.

What type of URLs should I provide?

Provide direct Amazon product URLs. Do not use Amazon search-result URLs with this Actor.

Can I process multiple products?

Yes. The startUrls input accepts one or more Amazon product URLs.

What data does the Amazon Product Details Scraper return?

It can return title, prices, rating, review count, availability, ASIN, brand, category, images, variations, Best Sellers Rank, shipping information, specifications, features, seller information, fulfillment information, Q&A count, and date-first-available information when available.

Does every product return every field?

No. The availability of individual fields depends on the content present on the product page.

Is the Actor suitable for product research?

Yes. The structured output can support product research, competitive research, catalog enrichment, pricing analysis, and dataset creation.

Can I use this Actor for Amazon search scraping?

No. This Actor is intended for direct product pages. Use an Amazon Search Scraper for search-result collection.

What happens when a URL fails?

The Actor retries the affected URL and can record an error containing the URL and error information if processing ultimately fails.

Should I use residential proxy configuration?

The Actor input specifically recommends using residential proxy configuration. A prefilled Apify Residential Proxy setting is provided in the input.

How should I start a large run?

Start with a small sample of product URLs, review the resulting fields, and then expand the input after confirming that the output meets your requirements.

NLP Keywords

• Amazon product data
• Amazon product details
• Amazon product information
• Amazon product page scraper
• Amazon product extraction
• Amazon product metadata
• Amazon product price data
• Amazon product ratings
• Amazon review count
• Amazon ASIN data
• Amazon product specifications
• Amazon product features
• Amazon seller information
• Amazon product images
• Amazon product variations
• Amazon Best Sellers Rank
• Amazon product availability
• Amazon shipping information
• Amazon product dataset
• Amazon product research

Related Keywords

• scrape Amazon product pages
• extract Amazon product details
• Amazon product data scraper
• Amazon product page extractor
• Amazon product information scraper
• Amazon product price scraper
• Amazon ASIN scraper
• Amazon product metadata extractor
• Amazon product specifications scraper
• Amazon product review data scraper
• Amazon seller data extraction
• Amazon product image URL scraper
• Amazon product variation scraper
• Amazon product category scraper
• Amazon Best Sellers Rank scraper
• Amazon product availability scraper
• Amazon product research tool
• Amazon product dataset builder
• scrape multiple Amazon product URLs
• structured Amazon product data

Final Overview

The Amazon Product Details Scraper provides a practical way to turn direct Amazon product URLs into structured product records. It combines product identification, pricing, ratings, availability, product content, specifications, seller information, images, variations, and additional metadata in a dataset-oriented output.

It is best suited to users who already have Amazon product URLs and need detailed, organized product information for research, analysis, catalog work, competitive studies, or automated data workflows.

For reliable results, use supported product URLs, review a small test run first, and account for the fact that available information can differ between Amazon product pages.

Contact me: Alphascraper69@gmail.com