Self-published authors
Category validation
Favorable to scraping
Compare public Kindle ranking pages with your own Kindle Direct Publishing notes, then identify categories where similar ebooks are moving.
E-commerce Marketplace$50Free
Amazon Kindle Rankings Scraper Japan for CSV Export
This Amazon Kindle rankings scraper Japan template collects Amazon.co.jp Kindle Best Sellers pages and exports clean CSV rows for category tracking, Kindle self publishing research, and ebook market monitoring. Import it into the UScraper local desktop app to capture rank, title, author, publisher, release date, price, and product URL fields without building a custom crawler.
Output
CSV
Columns
10
Pages
4 URLs
Waits
45s
Template
Free
At a glance
Export Kindle rankings from Amazon Japan
The workflow is built for people who need repeatable ranking snapshots, not a one-off copy and paste from a browser. It starts from Amazon.co.jp Kindle Best Sellers URLs, loops through page 1 and page 2 variants for configured categories, and uses Structured Export to keep the CSV headers and append behavior consistent across every run.
Use it when a Kindle sales report needs outside market context, when a publisher wants to review competing Amazon Kindle editions, or when an agency needs to export Kindle rankings before planning ads, launch timing, or category positioning.
CSV built for spreadsheet review
Export ranking position, book metadata, pricing, and product URLs into columns that are easy to filter, dedupe, and join with campaign notes.
Pagination is already wired
The Navigate block includes multiple ranking URLs and the Loop Continue block keeps each page feeding the same CSV file.
Detail enrichment where available
A JavaScript enrichment step marks valid rows and attempts to pull language, publisher, and release date from reachable product detail pages.
Local desktop execution
The stock template saves output locally. Your category list and ranking CSV stay in the desktop workflow unless you add your own sharing step.
Who this helps
Use cases for Kindle publishing and ebook research
Small publishers
Launch planning
Favorable to scraping
Export category leaders before a release, watch price bands, and collect product URLs for manual editorial or advertising review.
Research teams
Market snapshots
Favorable to scraping
Build recurring CSV snapshots for Amazon Kindle digital publishing research without asking developers to maintain a custom scraper.
For adjacent Amazon research, pair this page with the Amazon Best Sellers Scraper, Amazon Most Wished For Scraper, and Amazon Japan Reviews Scraper. You can also browse the full UScraper template library when ranking URLs need follow-up product or review extraction.
How to use
Configure the Kindle rankings scraper workflow
2
Review the ranking URLs
Open the Navigate block and confirm the Amazon.co.jp Kindle Best Sellers category URLs you want to track. Add or remove page URLs before running a larger batch.
3
Confirm waits and export path
The workflow waits for page load and ranking rows before export. Change the Structured Export save folder if you want a client, campaign, or date-specific CSV.
4
Run the loop
UScraper follows the path from Navigate to waits, enrichment, Structured Export, and Loop Continue until the configured URL list is complete.
5
Open the CSV
Spot-check a few rows, confirm product URLs open correctly, and compare rankings across categories before using the file in analysis.
The Navigate block carries the configured Amazon.co.jp Kindle ranking URLs. Each URL is loaded, then the workflow waits for the page and checks that ranking cards are visible before moving on.
Output preview
Amazon Kindle rankings CSV columns
The export is one row per captured Kindle ranking card. Because Amazon may vary detail availability by product, the language, publisher, and release date columns can be blank when a detail page is blocked, slow, or missing that field.
| category | ranking | title | author | language | publisher | release_date | price | product_url |
|---|---|---|---|---|---|---|---|---|
| Best Sellers in Kindle eBooks | #1 | Sample Mystery Kindle Edition | A. Tanaka | Japanese | Sample Press | 2026/05/20 | JPY 499 | https://www.amazon.co.jp/dp/B0EXAMPLE1 |
| Best Sellers in Kindle eBooks | #2 | Practical Kindle Publishing Guide | M. Sato | Japanese | Indie Lab | 2026/04/12 | JPY 0 | https://www.amazon.co.jp/dp/B0EXAMPLE2 |
| Best Sellers in Literature and Fiction | #14 | Quiet Tokyo Stories | R. Mori | Japanese | North River | 2025/11/03 | JPY 799 | https://www.amazon.co.jp/dp/B0EXAMPLE3 |
amazon_jp_kindle_rankings_scraper.csvColumn
category
Ranking page label, usually from the Amazon.co.jp heading.
Column
category_url
The exact Kindle ranking URL loaded for that row.
Column
ranking
Visible list position, such as #1 or #24.
Column
title
Kindle title from the product card or image alt text.
Column
author
Author name when Amazon renders it on the ranking card.
Column
language
Best-effort detail-page language field.
Column
publisher
Best-effort publisher field cleaned from product details.
Column
release_date
Publication or release date when exposed on the detail page.
Column
price
Displayed Kindle price from the ranking card.
Column
product_url
Absolute Amazon.co.jp product detail URL.
Headers included - all configured Kindle ranking URLs append into one file
Comparison
Local scraper vs cloud actors and APIs
UScraper template
Local CSVCloud/API route
HostedSetup
Import JSON and run
No custom code is required for the included ranking URLs.
Actor, API, or script setup
Usually needs account setup, request parameters, and billing controls.
Data flow
CSV saved locally
Good for research teams that review files before sharing.
Requests pass through a provider
Useful at scale, but third-party infrastructure handles the collection path.
Scope
Best for controlled category snapshots
Edit the URL list and pace runs carefully.
Better for managed high-volume collection
Consider official APIs or data providers when contractual reuse matters.
Frequently asked questions
Amazon.co.jp Kindle ranking pages may be publicly visible, but automated collection can still be limited by Amazon Conditions of Use, robots rules, marketplace policies, copyright, privacy law, and local regulations. Keep runs modest, do not bypass CAPTCHA or access controls, and get legal review before commercial reuse.
Before you run
Practical limitations and maintenance notes
Keep these Kindle ranking constraints visible
Rate limits
Amazon can throttle or challenge automated browsing
Run modest batches, avoid parallel category loops, and pause when Amazon.co.jp shows CAPTCHA, bot checks, or unusual regional prompts.
Layout drift
Ranking cards and detail fields can change
Empty exports or missing metadata usually mean the page layout, rendered card markup, or detail-page field labels need review before the next run.
Compliance
Use official routes when rights matter
For contractual reuse, advertising decisions, or production data resale, review Amazon rules and consider official APIs or licensed data providers.
Download the free template from the CTA above, install the UScraper desktop app, and keep the CSV beside your Kindle publishing notes so every ranking snapshot is reproducible.
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
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