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iOS App Review

Kayleigh Gaddor
  • Updated

Data connector details

  • Category: Mobile App Reviews

  • Connector type: Cached

Description

As the principal site where Mac users leave reviews about mobile apps that they use, the Apple App Store is a good source of textual customer feedback about mobile apps. Such reviews are becoming the predominant way that customers interact with brands that have service, eCommerce platform, or other types of applications. This feedback is especially important to:

  • businesses where there is competition around ease of doing business (like credit card companies or banks),

  • app-based businesses where the app is the primary user experience.

Use the iOS App Review connector to retrieve and analyze reviews of Apple App Store applications.

 

Data limitations

This data connector supports iOS App Reviews in the US and China.

 

The Apple App Store does not impose limitations on the amount of data that you can pull, but for very popular applications 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, you can filter your results by app, country, and date.

  • Search for your iOS App: Type the name or ID number of the app you want to analyze, and then select it when it appears in the list of suggestions.
    Note: To search for the ID number, preface the number with id:. For example: id:956857223

  • Select Your Country: Select your country from the drop-down list. Available countries update based on the selected app. You may choose multiple countries if applicable.
    Currently, countries are limited to China and US.

  • Comment Limit: Specify a limit on the number of reviews to return. You can also control this with data range and recurrence settings.

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. 

 

app_id

  • Description: Returns the identification number for the app.

  • Category: meta

  • Example: 284035177

app_name

  • Description: Returns the name of the app.

  • Category: meta

  • Example: Pandora: Music & Podcasts

body

  • Description: Returns the free-form text of the review.

  • Category: primary text index

  • Example: I love the app, it’s amazing. The problem is that I just wish I wouldn’t have to run in to so many adds cause of how much I skip. But so far it’s great!

category_id

  • Description: Returns the identification number for the category in which the app falls.

  • Category: meta

  • Example: 6011

category_name

  • Description: Returns the name of the app's category.

  • Category: meta

  • Example: Music

country_code

  • Description: Returns the two-letter ISO country code.

  • Category: meta

  • Example: us

country_name

  • Description: Returns the name of the country.

  • Category: geo index

  • Example: United States

crawler_time_stamp

  • Description: Returns the date and time when the data was crawled in numeric format.

  • Category: meta

  • Example: 1578142448848

customer_type

  • Example: Customers

date

  • Example: 2020-01-03T22:08:56Z

is_edited

  • Description: Returns a value indicating whether the review was edited.

  • Category: meta

  • Example: FALSE

name

  • Description: Returns the name of the reviewer.

  • Category: user index

  • Example: Daniel Stokes

rating

  • Description: Returns the rating value left by the reviewer.

  • Category: KPI

  • Example: 4

time_stamp

  • Description: Returns the date and time when the review was written in numeric format.

  • Category: date index

  • Example: 1578089336000

title

  • Description: Returns the title of the review.

  • Category: text index

  • Example: Love pandora

vote_count

  • Description: Returns the number of individual up and down votes given to the review.

  • Category: meta

  • Example: 0

vote_sum

  • Description: Returns the net total of up votes given to the review.

  • Category: meta

  • Example: 0

Data

  • Description: Returns all of the data collected by the connector.

Further questions?

We're here to help! Don't hesitate to contact us for further assistance via chat or submit a ticket!

 

 

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