Limited Time — Lifetime Access for just $99. Lock in before prices rise.

UScraper
E-commerce Marketplace$50Free
Amazon Best Sellers Scraper for CSV Export logo

Amazon Best Sellers Scraper for CSV Export

This Amazon Best Sellers scraper exports public Amazon top-list and category ranking pages into a structured CSV for product research, category monitoring, and marketplace analysis. Import the workflow into the UScraper local desktop app, replace the starting URLs with approved Amazon Best Sellers, New Releases, Movers and Shakers, Most Wished, or Most Gifted pages, and collect rank, product name, URL, brand, rating, review link, platform, price, image, and status fields without writing scraper code.

Output

CSV file

Columns

13

Inputs

Multi-URL

Waits

30s + 2s

Template

Free

What it does

Scrape Amazon Best Sellers and top-list data to CSV

Amazon top-list pages are useful when you need a repeatable snapshot of products Amazon is ranking inside a category. This Amazon best sellers extractor starts from a list of category URLs, waits for the page body and ranking cards, then runs a Structured Export over each product card that appears.

The automation path is high level and reviewable: Navigate -> Wait for Page Load -> Wait for Element -> product-card check -> Structured Export -> Next pagination check -> Click -> wait, sleep, and loop. The Navigate block can be replaced with any Amazon Best Sellers page, Amazon best selling books category, New Releases page, Movers and Shakers page, Most Wished page, or Most Gifted page that fits your research scope.

Ranking rows with context

Keep the original URL and category beside every product so repeated exports are easy to filter, compare, and join with later product-detail or review datasets.

Pagination already connected

The graph checks for localized Next links, clicks through available pages, waits after navigation, and continues the current input until the list ends.

Diagnostic rows for blocked pages

Empty, challenged, or redirected pages still produce an error value such as captcha_or_robot_check, login_required, or no_product_rows_found.

Spreadsheet-first export

Headers and append mode are enabled, so multi-category runs land in one CSV that can be opened in Excel, Sheets, BI tools, or enrichment scripts.

Who this is for

Use cases for Amazon ranking exports

  • Marketplace sellers can export Amazon Best Sellers data before deciding which categories, prices, and review-count bands deserve deeper sourcing work.
  • Publishers and authors can sample Amazon book charts or Amazon best selling books lists, then compare ranks, prices, and review counts across repeated runs.
  • Agencies and ecommerce analysts can collect category snapshots for client reports without routing the CSV through a hosted scraping actor.
  • Merchandising teams can compare Best Sellers with adjacent lists such as New Releases, Movers and Shakers, Most Wished, and Most Gifted.

For adjacent marketplace research, pair this template with the Amazon Hot New Releases Scraper, Amazon Movers and Shakers Scraper, Amazon Most Wished For Scraper, and Amazon Product Details Scraper for US.


How to use

Configure the Amazon Best Sellers scraper workflow

1

Download and import

Download the hosted JSON template, then import it into UScraper.

2

Choose category URLs

Replace the Navigate URL list with the Amazon Best Sellers page or related top-list category URLs you are allowed to review.

3

Confirm the export path

Structured Export writes amazon-best-sellers-scraper.csv with headers and append mode. Change the save folder before running project-specific batches.

4

Run the loop

UScraper loads each URL, waits for content, exports visible ranking cards, clicks Next when available, pauses briefly, and continues until the current input ends.

5

Open and audit the CSV

Review rank order, missing prices, duplicate products, error rows, and sample product links before using the export in reporting or downstream analysis.

Output preview

Amazon Best Sellers CSV fields

The export is designed for category comparison rather than a thin product list. The original_url and category fields repeat on every row, while the error field stays blank for successful product rows and records access or layout issues when no cards are found.

original_urlcategorypositionnameurlbrandstarsratingsreviews_linkplatformpricepictureerror
https://www.amazon.co.uk/gp/new-releases/booksBooks#1Sample suspense novel paperbackhttps://www.amazon.co.uk/dp/B0BOOK1234Example Press4.6 out of 5 stars2,418https://www.amazon.co.uk/product-reviews/B0BOOK1234PaperbackGBP 8.99https://m.media-amazon.com/images/I/example.jpg
https://www.amazon.de/gp/movers-and-shakers/gardenGarden#7Sample raised garden bedhttps://www.amazon.de/dp/B0GARDEN99GreenCo4.4 out of 5 stars846https://www.amazon.de/product-reviews/B0GARDEN99EUR 39.99https://m.media-amazon.com/images/I/example2.jpg
https://www.amazon.es/gp/bestsellers/mobile-appsMobile Appscaptcha_or_robot_check
amazon-best-sellers-scraper.csv
CSV - UTF-8 - Append

Column

original_url

The Amazon category URL opened for the current loop iteration.

Column

category

Current category or list name inferred from navigation or page headings.

Column

position

Visible rank badge from the Amazon ranking card.

Column

name

Product title, with image alt text and card link text as fallbacks.

Column

url

Amazon product detail URL from the ranking card.

Column

brand

Best-effort brand, publisher, or seller text when Amazon renders it.

Column

stars

Visible star-rating text.

Column

ratings

Visible rating or review count text.

Column

reviews_link

Product reviews URL when Amazon exposes one.

Column

platform

Platform or format text such as app platform, paperback, Kindle, or device family when available.

Column

price

Visible price text where Amazon displays it.

Column

picture

Primary product image URL from the card.

Column

error

Diagnostic value for CAPTCHA, sign-in, not found, or empty-card pages.

Headers included - every configured Amazon top-list URL appends matching rows or a diagnostic row

Local desktop template vs cloud scrapers and APIs

OptionGood fitTrade-off
UScraper Amazon Best Sellers templateNo-code users who need editable category URLs and local CSV exportsBest for controlled research batches, not high-volume crawling infrastructure
Hosted cloud scrapersTeams that want managed proxy, scheduling, and cloud executionProduct pages and exported rows pass through a third-party runtime
Amazon official APIsDevelopers with approved access and contractual reuse requirementsRequires code, credentials, eligibility, and may not mirror every visible ranking page

Frequently asked questions

Amazon Best Sellers pages may be publicly visible, but automated collection can still be restricted by Amazon Conditions of Use, robots rules, marketplace policies, intellectual property rights, privacy law, and local regulations. Keep runs modest, do not bypass CAPTCHA or access controls, and get legal review before commercial reuse.

Before you scale

Practical limits and maintenance notes

Guardrails for reliable Amazon category exports

Pacing

Amazon may throttle or challenge automation

Use modest batches, avoid parallel runs against the same marketplace, and add longer waits when pages load slowly or product cards appear incomplete.

Selector drift

Top-list layouts vary by category and region

Missing titles, blank ranks, or empty prices usually mean Amazon rendered a different card layout, hid a field, or returned an access page instead of product rows.

Compliance

Review terms before commercial reuse

Treat the CSV as a research export. Review Amazon policies, robots directives, official API options, and applicable law before redistributing, reselling, or enriching scraped product data.

Download the template, install the local desktop app from UScraper download, and use the UScraper template library when you need follow-up scrapers for Amazon reviews, product details, or broader ecommerce monitoring.

Get Started

Download and use this template instantly

$50Free

What's Included

  • Template JSON file ready to import
  • Pre-configured scraping nodes
  • Works with UScraper desktop app

Open-source templates

UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.

Contribute on GitHub

Browse more templates in the library

All Templates
FAQ

Frequently asked questions

Here are some of our most common questions. Can't find what you're looking for?

View All FAQs

Stop writing scripts. Start scraping visually.

Download UScraper and build your first web scraper in under 10 minutes. No subscriptions, no code, no limits.

Available on Windows 10+ and macOS 12+ · Need help? [email protected]