How to Scrape Amazon Product Listings data (Step-by-Step Guide)

March 09, 2026

Amazon product listings can be accessed through both search results and category pages, where products are organised by keyword queries or product categories. These listing pages display structured information such as product titles, prices, ratings, and links to individual product pages. In this guide, you will learn how to scrape Amazon product listings using Web Scraper and extract structured product data from listing pages and product detail pages without writing code. The scraper can start from either an Amazon search results page or a category page and collect product information across multiple listings, with the extracted data exported in CSV, Excel, or JSON formats for further analysis, storage, or integration into other systems.

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What Data Can You Extract From Amazon Product Listings

Amazon product listing pages display multiple products within a category or search query and provide structured information such as product titles, prices, ratings, and links to individual product pages. This information can be used to analyse product visibility, monitor competitors, track pricing patterns, and build structured datasets for market research or e-commerce analysis.

With Web Scraper, this data can be extracted directly from Amazon listing pages and optionally extended by following links to individual product pages to collect additional product details. The collected datasets can then be exported in CSV, Excel, or JSON formats for further analysis or integration into other workflows.

Below are examples of structured data fields that can be extracted from Amazon product listings and product detail pages.

product_url
product_name
ASIN
brand
gtin
upc
price
original_price
currency
availability (product is in stock)
rating
review_count
features
description
images
seller_name
shipping_info
weight
weight_unit
model_number
color
material
badges
main_image

The extracted dataset can be exported in CSV, Excel, or JSON, allowing the data to be analysed, stored, or integrated into other systems.

Method 1 - Use a Prebuilt Amazon Product Listings Scraper (Recommended)

The easiest way to scrape Amazon product listings is to use the ready-made scraper available in the Web Scraper Marketplace.

Amazon product listings scraper

https://webscraper.io/marketplace/amazon-products-listings-scraper

Steps:

Open the Amazon product listings scraper
Import it into Web Scraper Cloud
Add Amazon search or category URLs as start URLs
Run the scraper
Export the dataset

Example start URL:

https://www.amazon.com/s?i=appliances&srs=21217039011

https://www.amazon.com/s?i=beauty&srs=17321497011

The scraper automatically:

navigates Amazon listing pages
discovers product listings
opens product pages
extracts structured product information

This allows you to collect large datasets of Amazon product listings without building a scraper manually.

Important note: The template scraper excludes 'Sponsored' results.

Method 2 - Build the Amazon Scraper Manually

You can also create a custom scraper using the Web Scraper Chrome extension.

Steps:

Install the Web Scraper Chrome extension
Open an Amazon search results page or category page. Example: https://www.amazon.com/s?i=appliances&srs=21217039011
Click the Web Scraper icon in the top-right corner of your browser
The Sitemap Wizard automatically generates selectors for the listing page (detects 22 products - 18 regular + 4 sponsored)
Configure pagination using the pagination selector tool and select the Next button
Click Select Link and choose product links to follow for product page data
Review generated selectors and modify them if additional data is needed
Run the scraper locally or execute it in Web Scraper Cloud

For more detailed instructions, see the Web Scraper tutorials.

Important note: The tool will automatically include 'Sponsored' results, which can be excluded by editing the 'results_wrapper' element within the Advanced Sitemap Builder

Technical Considerations and Anti-Bot Protections When Scraping Amazon

When scraping Amazon pages, several technical factors may influence data extraction.

Bot protection	Amazon internal anti-bot protection
Browser check / fingerprinting	Browser and TLS fingerprinting possible
CAPTCHA presence	Possible under higher request volumes
Rendering	Server-rendered HTML with lazy-loaded elements
Proxy requirement	Datacenter proxies suitable for smaller scraping jobs; residential proxies recommended for larger-scale scraping
Request throttling	2-5 second delays recommended between requests
Scraping difficulty	Medium

IP rotation and request management

Large scraping jobs often require distributing requests across multiple IP addresses to avoid temporary restrictions. Web Scraper Cloud automatically manages IP rotation and request handling, helping maintain reliable data extraction.

Regional differences

Amazon may display different product rankings, prices, or availability depending on region, language settings, or account context. Best Sellers lists are often specific to individual marketplaces such as Amazon US, Amazon UK, or Amazon Germany. Results may therefore vary depending on the marketplace domain used and the geographic location of the scraper.

Anti-bot protections

Amazon uses automated detection systems that may limit scraping activity under certain conditions. These systems monitor request frequency and behavioural patterns to identify automated traffic. Using request throttling and rotating proxies can help reduce the likelihood of temporary blocking.

Automate Amazon Scraping With Web Scraper Cloud

For large scraping jobs, running scrapers locally can become unreliable. Long runs may stop if the browser closes, and higher request volumes may require request management to avoid temporary blocking.

Web Scraper Cloud executes scrapers on cloud infrastructure and supports automated large-scale data extraction.

With Web Scraper Cloud, you can:

Schedule scraping jobs
Run long scraping tasks without local execution
Export datasets automatically (CSV, Excel, JSON)
Send data to external services such as Google Sheets, Dropbox, Amazon S3, and others
Integrate data collection workflows using the Web Scraper API

This enables automated monitoring of Amazon Best Sellers and continuous dataset updates.

Other Amazon Scrapers

If you need additional Amazon datasets, you can also use these related scrapers.

Popular E-commerce Scrapers

Web Scraper also provides ready-made scrapers for other e-commerce platforms.

Browse the full scraper library: Web Scraper Marketplace.

Related Scraping Guides

If you want to learn how to scrape other websites, these guides may also be useful.

Browse all scraping tutorials in the Web Scraper Blog.

Common Use Cases for Amazon Product Listings Data

Competitor product monitoring

Businesses collect product listing data to observe competing products appearing in search results and category pages. This makes it possible to monitor pricing changes, rating growth, and overall product positioning within the marketplace.

Product discovery and trend tracking

Analysing large sets of Amazon listings helps identify products that repeatedly appear across search queries or categories, revealing emerging product trends and shifts in consumer demand.

Pricing and promotion analysis

By collecting price information across many listings, analysts can evaluate discount patterns, pricing strategies, and how different sellers position similar products.

E-commerce market analysis

Researchers and businesses use product listing datasets to understand category structure, analyse product distribution, and evaluate overall activity within specific product segments.

Catalogue monitoring

Tracking listing data over time helps detect newly introduced products, changes in product availability, and shifts in how products are presented within Amazon categories and search results.

FAQ

Can Amazon product listings be scraped?

Yes. Product information displayed on Amazon search and category pages can be collected using web scraping tools. These pages contain publicly visible data such as product titles, prices, ratings, and links to product pages. As with any data collection activity, users should ensure their usage complies with the website’s terms of service and the regulations applicable in their jurisdiction.

What tool can be used to scrape Amazon product data?

Visual web scraping tools such as Web Scraper allow users to collect product data directly from listing pages and product detail pages without developing custom scraping scripts.

Is it possible to extract Amazon data without programming?

Yes. Web Scraper provides a visual interface where selectors can be generated and adjusted through the browser, allowing users to build scrapers and collect data without writing code.

What kind of product information can be collected from Amazon?

Typical datasets may include product titles, listing URLs, prices, ratings, review counts, product identifiers such as ASIN, brand information, images, and other product attributes available on listing or product pages.

Conclusion

Amazon search and category pages contain large collections of product listings that reflect pricing, competition, and product visibility within the marketplace. Collecting this data allows analysts and businesses to monitor product positioning, evaluate pricing behaviour, and analyse product availability across different categories.

With Web Scraper, Amazon product listings can be extracted directly from listing pages and extended by following links to product detail pages, allowing structured product datasets to be collected without coding.

For faster setup, the Amazon product listings scraper available in the Web Scraper Marketplace can be used, or a custom scraper can be configured using the Web Scraper Chrome Extension.

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