Rakuten Japan Scraper

Collect structured marketplace product data from Rakuten Japan product and category URLs.

Issues and feature requests

If you encounter an issue or need a field added, open an issue on the Actor page or write to hello@123webdata.com.

Output Example (simplified)

The overview shows the most useful fields in a table. Product images are displayed as thumbnails when the website provides them.

Image	Product URL	Product ID	Product name	Current price	Maximum price	Regular price	Currency	In stock	Seller	Scraped at
	https://item.rakuten.co.jp/rakutenoriginal-daily/ro-f-001/	rakutenoriginal-daily:ro-f-001	令和7年産 国産ブレンド米 5kg ～ 10kg	3150			JPY	true	rakutenoriginal-daily	2026-08-14T15:45:00.000Z

How to scrape supported list pages

This Actor accepts individual product links in productUrls. It accepts category pages and seller pages in categoryUrls.

1. Open a supported list page in your browser.
2. Choose a category and open a seller page you need.
3. Copy the final URL from the address bar and paste it into categoryUrls.

The Actor follows the products shown on that page.

Features

• Scrapes detailed marketplace product information from Rakuten Japan product pages
• Accepts individual product URLs and category pages and seller pages
• Lets you limit the number of saved products and choose whether to continue through additional result pages
• Returns structured prices, stock status, seller details, ratings and reviews, and product images for viewing, export, and analysis

Pricing

This Actor uses pay-per-event pricing. Its running costs are included.

• Actor start: $0.05 once per run — One fixed charge for starting a run.
• Result: $0.00149 each ($1.49 per 1,000) — A product record collected directly from a supported list page.
• Product detail: $0.00999 each ($9.99 per 1,000) — A full product record collected from its product page.

The start charge applies once per run. Each saved product is charged either as a Result or a Product detail, never both.

Results in one run	Result	Product detail
100	$0.20	$1.05
1,000	$1.54	$10.04

Apify's Free plan currently includes $5 in monthly usage credits. If the full $5 is available for this Actor, one run covers about 3,322 Results or 495 Product details. Other Apify usage reduces the available credit.

Input

The Actor accepts the following input parameters:

Field	Type	Description
productUrls	array	Product URLs to scrape
categoryUrls	array	Supported list pages: category pages and seller pages
maxResultsPerScrape	integer	Maximum number of product records to save
usePagination	boolean	Whether to continue through additional result pages
scrapeProductDetails	boolean	Enabled returns Product detail records with the product-page fields listed below. Disabled returns Result records with the list-level fields.

What data you get in each mode

Every saved product is stored as one record. scrapeProductDetails decides which mode you receive; the lists below name every field each mode can return. A field is empty when the website does not show that information.

Result

A list-level product record with 25 declared fields:

url, product_id, name, price, max_price, currency, in_stock, sku, attributes, main_image, images, rating_value, review_count, seller_name, seller_url, shipping_cost, shipping_currency, unit_price, unit_price_unit, unit_quantity, reward_points, reward_points_multiplier, dispatch_text, canonical_url, scraped_at

Product detail

A full product record with 32 declared fields:

url, product_id, name, price, max_price, regular_price, currency, in_stock, sku, category, breadcrumbs, breadcrumb_urls, main_image, images, description, description_html, rating_value, review_count, seller_name, seller_url, seller_phone, attributes, canonical_url, scraped_at, shipping_cost, shipping_currency, unit_price, unit_price_unit, unit_quantity, reward_points, reward_points_multiplier, dispatch_text

Output Example (full)

The Actor stores one structured record per product. Card-only records contain only fields available on the list; detail-only fields are omitted.

{
  "url": "https://item.rakuten.co.jp/rakutenoriginal-daily/ro-f-001/",
  "product_id": "rakutenoriginal-daily:ro-f-001",
  "name": "令和7年産 国産ブレンド米 5kg ～ 10kg",
  "price": 3150,
  "currency": "JPY",
  "in_stock": true,
  "sku": "rakutenoriginal-daily:ro-f-001",
  "category": "米・雑穀",
  "breadcrumbs": [
    "食品",
    "米・雑穀"
  ],
  "breadcrumb_urls": [
    "https://www.rakuten.co.jp/category/100227/",
    "https://www.rakuten.co.jp/category/110472/"
  ],
  "main_image": "https://shop.r10s.jp/rakutenoriginal-daily/cabinet/item/rice/item_jbr_2606_01.jpg",
  "images": [
    "https://shop.r10s.jp/rakutenoriginal-daily/cabinet/item/rice/item_jbr_2606_01.jpg"
  ],
  "description": "令和7年産 国産ブレンド米。送料無料。",
  "description_html": "<p>令和7年産 国産ブレンド米。送料無料。</p>",
  "rating_value": 4.45,
  "review_count": 262,
  "seller_name": "rakutenoriginal-daily",
  "seller_url": "https://www.rakuten.co.jp/rakutenoriginal-daily/",
  "canonical_url": "https://item.rakuten.co.jp/rakutenoriginal-daily/ro-f-001/",
  "scraped_at": "2026-08-14T15:45:00.000Z"
}

Use Cases

• Monitor marketplace prices and stock
• Compare seller assortments and review signals
• Build Japanese ecommerce research datasets

Integrate with AI and automation

Use with AI through MCP

Connect your AI assistant to the Apify MCP server. It can discover and run Actors, then access the results in the same conversation. For example, ask your assistant to scrape a list of products from Rakuten Japan, compare prices, or summarize the collected data.

Run on a schedule

After one successful run, use Apify Schedules to repeat the same task hourly, daily, weekly, or with a custom cron schedule. Saved tasks are useful when you want to keep the same URLs and settings for every run.

Connect with n8n

Create an n8n account and add the verified Apify node to a workflow. Choose Run an Actor and Get Dataset when the workflow should start this Actor, wait for completion, and receive the product rows for the next node. See the Apify integration for n8n.

Connect with Make

Create a Make account and add the Apify Run an Actor module. Follow it with Get Dataset Items to pass the product rows to Google Sheets, a database, email, or another Make module. For longer runs, use Watch Actor Runs followed by Get Dataset Items.

Read the Make integration guide.