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Rakuten Product Scraper

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.

Output

CSV file

Columns

11

Pages

10 URLs

Pacing

Load + 6s

Template

Free

What it does

Rakuten product data export by search URL

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

Use cases for a Rakuten data extractor

Ecommerce analysts

Price snapshots

Favorable to scraping

Compare visible prices, shipping labels, points, review counts, and store names across competing Rakuten shop results for a keyword.

Marketplace teams

Assortment checks

Favorable to scraping

Build a quick product discovery sheet before deciding which brands, categories, or store pages deserve deeper manual review.

Growth and affiliate teams

Offer monitoring

Favorable to scraping

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

Run the Rakuten scraper in five steps

1

Download and import

Download the free JSON template from this page, then import it into UScraper.

2

Edit search URLs

Replace the sample SKII Rakuten URLs with your own search result pages, including pagination URLs if you want more rows.

3

Keep the waits

Leave the page-load wait, body check, and six-second pause in place so dynamic product cards can render before export.

4

Confirm the CSV path

Review the Structured Export save folder and append mode before running a large batch.

5

Run and open the file

Start the workflow, let Loop Continue process each configured URL, then open the CSV output for review.

Output preview

What the Rakuten to CSV export includes

ColumnExample valueWhat it captures
タイトルSK-II Facial Treatment Essence 230mlProduct title from the listing card
商品IDskii-essence-230Item identifier inferred from page data or URL
URLhttps://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4.7Rating or rank-like signal found on the card
レビュー件数312件Review count text
店舗名Beauty Select JapanStore name shown near the listing
店舗ID123456Store identifier when exposed
画像_URLhttps://thumbnail.image.rakuten.co.jp/example.jpgProduct 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.

Frequently asked questions

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

Limits and maintenance notes

Guardrails for reliable Rakuten exports

Pacing

Do not hammer result pages

Large unattended batches can trigger verification, throttling, partial rendering, or empty exports. Increase delays before increasing page count.

Selectors

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.

Policy

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.

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

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