Ecommerce analysts
Price snapshots
Compare visible prices, shipping labels, points, review counts, and store names across competing Rakuten shop results for a keyword.
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This Rakuten Product Scraper turns Rakuten Ichiba search result pages into a structured CSV export. It starts with the bundled SKII search URLs, loops through configured result pages, and captures product title, item ID, URL, price, shipping, points, rating or ranking, review count, store name, store ID, and image URL from a local desktop app workflow.
CSV file
11
10 URLs
Load + 6s
Free
What it does
The workflow is built for Rakuten Ichiba listing pages, not single product detail pages. The Navigate block contains ten search URLs for the SKII query, from the first result page through page ten. For each URL, UScraper sets a wide browser window, waits for page load, confirms the page body is visible, pauses for dynamic listing cards, exports structured rows, and then uses Loop Continue to move to the next URL.
This pre-enumerated URL approach is deliberate. Rakuten result pages can change pagination controls or delay card rendering, so the template avoids an unstable click-next path and appends each configured page into one CSV. To scrape Rakuten for another product family, edit the URL list first, then run a small sample before expanding the page count.
Scrape Rakuten listings
Collect product cards from Rakuten search pages without copying title, price, and seller details by hand.
Export Rakuten to CSV
Keep marketplace fields in stable spreadsheet columns for filtering, matching, and dashboard imports.
Extend with more pages
Add more Rakuten search result URLs to the Navigate array when you need broader coverage.
Keep the run local
The browser automation and output file stay under your desktop session and configured save folder.
Who uses it
Ecommerce analysts
Price snapshots
Compare visible prices, shipping labels, points, review counts, and store names across competing Rakuten shop results for a keyword.
Marketplace teams
Assortment checks
Build a quick product discovery sheet before deciding which brands, categories, or store pages deserve deeper manual review.
Growth and affiliate teams
Offer monitoring
Track which listings, image URLs, prices, and point incentives appear for commercial searches such as Rakuten shop, Rakuten deals, or Rakuten online shop queries.
How to use
Download and import
Download the free JSON template from this page, then import it into UScraper.
Edit search URLs
Replace the sample SKII Rakuten URLs with your own search result pages, including pagination URLs if you want more rows.
Keep the waits
Leave the page-load wait, body check, and six-second pause in place so dynamic product cards can render before export.
Confirm the CSV path
Review the Structured Export save folder and append mode before running a large batch.
Run and open the file
Start the workflow, let Loop Continue process each configured URL, then open the CSV output for review.
Output preview
| Column | Example value | What it captures |
|---|---|---|
| タイトル | SK-II Facial Treatment Essence 230ml | Product title from the listing card |
| 商品ID | skii-essence-230 | Item identifier inferred from page data or URL |
| URL | https://item.rakuten.co.jp/example/skii-essence-230/ | Product or redirect URL |
| 価格 | 18,900円 | Visible yen price |
| 送料 | 送料無料 | Shipping label or fee text |
| ポイント | 1,890ポイント | Rakuten points text when visible |
| ランキング | 4.7 | Rating or rank-like signal found on the card |
| レビュー件数 | 312件 | Review count text |
| 店舗名 | Beauty Select Japan | Store name shown near the listing |
| 店舗ID | 123456 | Store identifier when exposed |
| 画像_URL | https://thumbnail.image.rakuten.co.jp/example.jpg | Product image URL |
The export uses headers and append mode, so every configured Rakuten search page lands under the same column set. If you rerun the workflow against the same file, clear the old CSV first unless you intentionally want old and new rows combined.
Scraping publicly visible Rakuten Ichiba 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 publishing or reselling product datasets.
Before you scale
Guardrails for reliable Rakuten exports
Do not hammer result pages
Large unattended batches can trigger verification, throttling, partial rendering, or empty exports. Increase delays before increasing page count.
Rakuten layouts can change
Marketplace pages sometimes change card markup. When titles export but prices or store fields go blank, update the Structured Export columns before trusting the dataset.
Review terms before commercial reuse
Treat the CSV as research input. Check Rakuten policies and applicable law before redistributing, selling, or combining scraped marketplace data with other datasets.
Browse the UScraper template library, install the local desktop app from the download page, and use this template whenever you need a repeatable way to export Rakuten products without rebuilding a spreadsheet by hand.
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Available on Windows 10+ and macOS 12+ · Need help? [email protected]