Data connector details

  • Category: Product Reviews
  • Connector type: Standard

Description

Use the Rakuten Reviews connector to retrieve and analyze product reviews on Rakuten's Japanese web site. 

Valid URLs begin with https://item.rakuten.co.jp.

Data Limitations

Rakuten does not impose limitations on the amount of data that you can pull, but for products with a lot of reviews, you may want to limit it yourself using the Comment Limit option or by narrowing the date range.

If you have issues with no data, try widening your date range on the second page of the wizard.

Input fields

When setting up the connector, provide the URL of the product or products for which you want to analyze customer reviews. 

  • Rakuten Product URL (*required): On the Japanese Rakuten web site, navigate to the product and from the address bar, copy the URL, then paste it into this field.
  • Add new search: To analyze multiple product varieties or multiple products, click this as many times as needed to add more URLs.
  • Upload: Click to upload a file containing a list of product URLs. Takes a TXT file with one URL per line.
    (CSV is also acceptable, but it must have one URL per line.)
  • Comment Limit: It is a good practice to set a limit on the number of comments returned.

You can change your date range on the second page of the wizard, or optionally Schedule data crawls to update your data stream periodically.

Data dictionary

This connector returns the following fields that you can use in analysis.

Country

  • Description: Reviewer's country.
  • Category: geo index
  • Example: Japan

crawler_time_stamp

  • Description: Date and time on which the review was crawled.
  • Category: meta
  • Example: 1580311908325

DataSource

  • Description: Source of the data.
  • Category: meta
  • Example: Rakuten

Date

  • Description: Date and time that the review was published.
  • Category: date index
  • Example: 1577577600000

HelpfulCount

  • Description: Number of users who found the review helpful.
  • Category: meta
  • Example: 0

IsBuyer

  • Description: Value indicating whether the reviewer is a verified purchaser of the product.
  • Category: meta
  • Example: TRUE

ProductID

  • Description: Rakuten product ID for the reviewed item.
  • Category: meta
  • Example: 193359_10062685

ProductNumber

  • Description: Rakuten product number for the reviewed item
  • Category: meta
  • Example: 151064

ProductTitle

  • Description: Full text of the product title description.
  • Category: meta
  • Example: 【お一人様3個まで】bon moment レジかごバッグ 買い物カゴにピッタリはまるレジカゴバッグ 保冷 大容量 折りたたみ/ボンモマン

ProductURL

PurchaseQuantity

  • Description: Value indicating whether the reviewer was a repeat buyer of the product or a first-time buyer.
  • Category: meta
  • Example: はじめて

Rating

  • Description: Reviewer's star rating of the product.
  • Category: KPI
  • Example: 4

Review

  • Description: Free-form text of the review.
  • Category: text index
  • Example: 今まで使用した中でいちばんしっかりしています。折り畳み状態がもう少しコンパクトになれば大満足です。

ReviewTitle

  • Description: Free-form text title of the review.
  • Category: text index
  • Example: しっかりしています

ReviewURL

SellerReply

  • Description: Free-form text of any reply to the review by the seller.
  • Category: text index

SellerReplyDate

  • Description: Date and time of the seller's reply.
  • Category: date index

SellerReplyTitle

  • Description: Free-form text title of the seller's reply.
  • Category: text index

UserAge

  • Description: Age of the reviewer.
  • Category: meta

UserName

  • Description: Name of the reviewer.
  • Category: user index

UserSex

  • Description: Sex of the reviewer.
  • Category: meta

Data

  • Description: Adds all output fields to a list visualization.

Did this answer your question?