Ecommerce analysts
Price snapshots
Favorable to scraping
Compare visible prices, shipping labels, point incentives, rankings, review counts, and store names across competing Rakuten shop results.
E-commerce Marketplace$50Free
Rakuten Product Listing Scraper
This Rakuten Product Listing Scraper turns Rakuten shop, search, and listing pages into a structured CSV export. It is built for teams that need to scrape Rakuten product listings without rebuilding a spreadsheet by hand: product title, URL, price, shipping text, points, ranking, review count, store name, and store URL land in one repeatable local desktop app workflow.
Output
CSV file
Columns
9
Inputs
Up to 10 URLs
Pacing
Load + waits
Template
Free
At a glance
Rakuten product data extractor for listing pages
The workflow starts with Navigate, waits for Rakuten pages to finish loading, pauses so product cards can render, then runs a Structured Export against visible listing rows. After each export, it checks for a next-page control. If one exists, UScraper clicks it, waits again, and loops back into the same export step; if not, it advances to the next configured URL.
This makes the template useful for Rakuten shop pages, search pages, and category-like listing pages where products appear as repeated cards. It is not designed as a deep product-detail crawler. Product detail URLs that currently return Rakuten error or 404 pages may export no rows, so start from a reachable shop or search listing.
Scrape Rakuten listing cards
Collect titles, prices, shipping labels, points, rankings, reviews, and store fields from product rows instead of copying cards one by one.
Export Rakuten products to CSV
Keep each field in a predictable spreadsheet column for filtering, matching, enrichment, and dashboard imports.
Handle multiple URLs
Edit the Navigate block to add up to ten Rakuten shop, search, or listing URLs before running a batch.
Keep output local
The browser automation and CSV are handled by your desktop session and the save folder you configure.
Who uses it
Rakuten listing CSV use cases
Marketplace operators
Assortment checks
Favorable to scraping
Build a quick product discovery sheet before deciding which brands, categories, or sellers deserve deeper manual review.
Affiliate and growth teams
Offer monitoring
Favorable to scraping
Track how Rakuten deals, Rakuten online shop pages, and keyword listings present price, points, and seller signals over time.
How to use
Run the Rakuten scraper in five steps
1
Download and import
Use the download link on this page to import the free JSON template into UScraper.
2
Add listing URLs
Replace the sample Rakuten shop URL with your own shop, search, or listing pages. Keep the batch to ten URLs unless you have tested pacing.
3
Review the export path
Confirm the Structured Export file name, save folder, headers, and append mode before a large run.
4
Run a small sample
Let Navigate, waits, the listing-row export, and the pagination loop process one or two pages first.
5
Open the CSV
Check the exported rows, then expand the input list if titles, prices, store fields, and review counts look correct.
Output preview
What the Rakuten to CSV export includes
rakuten-product-listing-scraper.csvColumn
product_title
Product title from the listing card.
Column
url
Product or redirect URL with common tracking parameters removed.
Column
price
Visible listing price when Rakuten exposes it.
Column
shipping
Shipping label such as free-shipping or fee text.
Column
points
Rakuten points text when present on the card.
Column
ranking
Rank signal when the listing displays one.
Column
review_count
Visible review-count text.
Column
store_name
Store name inferred from the page.
Column
store_url
Canonical Rakuten store URL when detectable.
Sample rows
1 of many
| product_title | url | price | shipping | points | ranking | review_count | store_name | store_url |
|---|---|---|---|---|---|---|---|---|
| Organic green tea gift set 24 bags | 2,980 JPY | Free shipping | 298 points | 12 | 84 reviews | Kyoto Select Market |
Headers are included. Additional pages and configured URLs append under the same columns.
Frequently asked questions
Scraping publicly visible Rakuten pages may still be limited by Rakuten terms, robots rules, marketplace policies, copyright, database rights, privacy law, or local regulations. Keep volume modest, avoid personal data, respect access controls, and get legal review before using the CSV for commercial datasets.
Before you scale
Limits and maintenance notes
Guardrails for reliable Rakuten exports
Pacing
Do not hammer listing pages
Large unattended batches can trigger verification, throttling, partial rendering, or empty exports. Increase waits before increasing URL count.
Selectors
Rakuten layouts can change
Rakuten class names and product-card markup can shift. When titles export but prices, points, or store fields go blank, update the Structured Export columns before trusting the dataset.
Policy
Review rules before commercial reuse
Treat the CSV as research input. Review Rakuten policies, robots directives, and applicable law before redistributing, selling, or combining scraped marketplace data with other datasets.
Install the local desktop app from the UScraper download page, import the hosted JSON template, and use it whenever you need a repeatable way to export Rakuten products from listing pages to CSV.
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.
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