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Bukalapak

Kayleigh Gaddor

Data connector details

  • Category: Product Reviews

  • Connector type: Standard

Description

Use the Bukalapak connector to retrieve and analyze customer feedback on items sold on https://www.bukalapak.com/.

Data limitations

This data connector supports only the US, Canada, and Mexico Bukalapak web sites.

Bukalapak does not impose limitations on the amount of data that you can pull, but for products with a very large number 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.

  • Product URL (*required): On the Bukalapak 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 versions of the product 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: To avoid returning too much data, 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: Indonesia

crawler_time_stamp

  • Description: Date and time on which the review was crawled.

  • Category: meta

  • Example: 1580323772185

DataSource

  • Description: Data source of the review.

  • Category: meta

  • Example: bukalapak

Date

  • Description: Date and time on which the review was created.

  • Category: date index

  • Example: 1558899297000

DislikeCount

  • Description: Number of people who did not find the review helpful.

  • Category: meta

  • Example: 0

LikeCount

  • Description: Number of people who found the review helpful.

  • Category: meta

  • Example: 0

ProductID

  • Description: Bukalapak ID of the product reviewed.

  • Category: meta

  • Example: 1sdkziv

ProductName

  • Description: Bukalapak product name of the product reviewed.

  • Category: meta

  • Example: BAJU GAMIS WANITA TERBARU - GAMIS BORDIR - GAMIS BRUKAT BROKAT - LONG DRESS MUSLIMAH - BAJU GAMIS PESTA - BUSANA MUSLIM

ProductURL

  • Description: URL of the product reviewed.

  • Category: meta

  • Example: https://www.bukalapak.com/p/fashion-wanita/baju-muslim-perlengkapan-sholat-2555/busana-muslim-wanita/1sdkziv-jual-baju-gamis-wanita-terbaru-gamis-bordir-gamis-brukat-brokat-long-dress-muslimah-baju-gamis-pesta-busana-muslim?from=list-product&product_owner=normal_seller&search%5Bkeywords%5D=gamis+brokat

Rating

  • Description: Number of stars out of five that the reviewer gives the product.

  • Category: KPI

  • Example: 5

Review

  • Description: Free-form text of the review.

  • Category: text index

  • Example: Pembeliku puas dgn produknya. Senang bs dropship di toko ini. thankyou kakak...

ReviewTitle

  • Description: Free-form text of the review title.

  • Category: text index

  • Example: Barang bagus banget!

UserID

  • Description: Bukalapak ID of the reviewer.

  • Category: user index

  • Example: 273367879

UserName

  • Description: Reviewer’s name.

  • Category: user index

  • Example: huyan

Data

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

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