Scrape any Amazon Storefront page into a clean table of product names, URLs, ratings, review counts, prices, and images—perfect for Amazon sellers, brand managers, and eCommerce analysts to benchmark competitors, track assortments, and power sheets, CRMs, or BI workflows globally.
This template is designed for professionals who monitor Amazon catalogs: marketplace managers, brand and category managers, retail media agencies, and product researchers. It extracts product name, product URL, rating, review count, price, and image from public Amazon Storefront pages across marketplaces, making it easy to analyze competitor assortments, identify top-rated items, spot price bands, and prioritize products for advertising or sourcing.
With the data structured in a table, you can filter, enrich, and automate downstream steps in seconds: send to Google Sheets, Airtable, or Notion; compute price ranges and average ratings; tag products by keywords with AI; summarize customer sentiment from ratings/reviews at a glance; and schedule recurring scrapes to compare changes over time. Build a living competitor matrix, trigger Slack alerts for pricing shifts, or generate product shortlists with images for quick stakeholder reviews.
Maintained by Bardeen: This scraper template is actively updated by our team to adapt to Amazon layout changes, ensuring reliable, high-quality data for your workflows.
With Bardeen, you can do much more than just web scraping. After extracting data from any website, use Bardeen’s powerful automation tools to validate and enrich your data, run additional scrapers on linked pages, or leverage AI to qualify leads and generate content automatically. Once your data is ready, you can easily export it to CSV, Google Sheets, Airtable, or Notion for further analysis and reporting.
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