Data connector details

  • Category: Product Reviews
  • Connector type: Standard

Description

Use the AliExpress Reviews connector to retrieve and analyze product reviews on the AliExpress web site.

Data Limitations

This data connector supports all global AliExpress web sites.

AliExpress 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. 

  • AliExpress Product URL: On the AliExpress web site, navigate to the product and from the address bar, copy the URL, then paste it into this field.
    Note that you must trim the URL. Remove everything after .html in order to successfully return reviews for the product.
  • 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.

This connector returns additional fields dynamically depending on what fields the seller adds for the product. For example, you may see size or color fields in other languages, or product-specific fields such as ShoeSize.

Color

  • Description: Color of the reviewed item.
  • Category: meta
  • Example: Charcoal grey S gray

Country

  • Description: Reviewer's country.
  • Category: meta
  • Example: www

DataSource

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

Date

  • Description: Date and time on which the review was created.
  • Category: date index
  • Example: 1576662600000

Location

  • Description: Two-letter country code of the reviewer.
  • Category: meta
  • Example: RU

Logistics

  • Description: Shipping method used for the order.
  • Category: meta
  • Example: AliExpress Standard Shipping

OrdersCount

  • Description: Total number of times the product has been purchased.
  • Category: meta
  • Example: 9149

ProductID

  • Description: AliExpress product ID for the reviewed item.
  • Category: meta
  • Example: 32915052059

ProductName

  • Description: AliExpress product name for the reviewed item
  • Category: meta
  • Example: BONA Men Boots Anti-Skidding Leather Shoes Men Popular Comfy Spring Autumn Men Shoes Short Plush Snow Boots Durable Outsole

ProductURL

Rating

  • Description: Reviewer's rating for the product.
  • Category: KPI
  • Example: 5

Reply

  • Description: Free-form text of any follow-up review.
  • Category: text index

ReplyDate

  • Description: Date and time of any follow-up review.
  • Category: date index

Review

  • Description: Free-form text of the review.
  • Category: text index
  • Example: Отлично

ReviewCount

  • Description: Total number of reviews of the product.
  • Category: meta
  • Example: 4597

Size

  • Description: Size of the product purchased by the reviewer.
  • Category: meta
  • Example: 9.5

UserName

  • Description: Name of the reviewer.
  • Category: user index
  • Example: P***v

UserURL

Data

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

Did this answer your question?