AI-Powered Web Scraping

No-Code Amazon Scraper for Products, Prices, and Reviews

Collect visible Amazon product names, ASINs, prices, sellers, availability, ratings, reviews, images, and more with One Click Extract. Thunderbit recommends the fields, follows linked pages when needed, and exports the results without code.

Need more ways to scrape at scale?

A quick playground: Try it yourself.

Use one AI agent across the Amazon pages in your workflow

Describe the data you need, move through more of the catalog, and refresh changing information on schedule.

Describe the Amazon data you want

Open a search, category, product, offer, or review page. One Click Extract recommends useful fields, while plain-English instructions let you reshape the result without configuring a separate template.

amzon-review-easy (1).png

Move through a catalog without opening every page

Thunderbit can use accessible pagination, linked pages, or a URL list to gather the product, price, seller, availability, rating, or review fields required for the current Amazon task.

amazon-review-bulk (1).png

Let changing prices and stock refresh themselves

Schedule the Amazon extraction to run again and send updated values to your spreadsheet. Repeated price and availability checks continue without reopening the same pages by hand each time.

amazon-review-schedule (1).png

Amazon research should not require a scraper for every page type

Traditional setups split Amazon page types into separate projects. Thunderbit brings them into one workflow.

A stack of Amazon-specific scrapers

Every page type adds setup
Search and product pages need separate selectors
Offers and reviews need separate logic
Pagination adds maintenance
Scheduling depends on another workflow
Agent Mode

One agent across Amazon page types

Thunderbit adapts to the task
AI suggests fields from the current page
Linked details can extend the same result
Natural language changes the requested data
Schedules refresh changing fields automatically

What can you collect across Amazon?

Use 30 fields spanning search discovery, product offers, variations, and individual reviews.

  • Search-result position
  • Search result URL
  • Total search-result count
  • Search department
  • Search browse-node filter
  • ASIN
  • Product title
  • Brand
  • Amazon detail-page URL
  • Current buying price
  • Displayed price
  • Savings percentage
  • Availability message
  • Seller name
  • Variation attribute value
  • Average rating
  • Review count
  • Reviewer display name
  • Review star rating
  • Review title
  • Full review text
  • Review date
  • Verified Purchase label
  • Vine review label
  • Helpful vote count
  • Review source URL
  • Review country or marketplace
  • Review section or market scope
  • Review image URLs
  • Review text language as displayed

Meet the people using Thunderbit for web data

Their videos show how an AI scraper becomes part of day-to-day research, prospecting, monitoring, and operations work.

Choosing the right starting point for an Amazon scrape

The general Amazon scraper can move between several public page types, but the page you begin with still shapes the result.

Narrow the job with a focused Amazon scraper

Choose product, price, ASIN, or review extraction when one part of the broader Amazon workflow deserves its own page.

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