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Qualitative evolution

GET 

/api/v2/reviews/analytics/qualitative

This endpoint lets you view the qualitative evolution of the reviews rating for all of your businesses subscribed to Review Management. The API returns the reviews average rating by bucket (time range).

You can use the following filters:

  • by date (analytics before and/or after a date)
  • by businesses (businesses id in list or not in list)
  • by keywords

Request

Query Parameters

    business__in string[]

    Filter by business

    keywords string[]

    Filter by keywords

    Return all the reviews with not-nullable content, that contain the provided list of keywords.

    Note: This is the content of the review and not the content of the reply.

    The filter accepts both simple and composed words. To indicate it's a composed keyword, add the + as separator. For example:

    • keywords=bonjour returns all reviews containing the keyword bonjour
    • keywords=good+service returns all reviews containing the combined keyword good service, without splitting the keyword. No reviews containing just good or just service will be returned.
    • keywords=bonjour,good+service: returns all reviews that contain either just bonjour, either just good service or both keywords at the same time.
    Example: [bonjour, good+service]
    update_date__gte date-time

    Filter by update_date

    Return all the reviews whose update_date >= given_date.

    For example : update_date__gte=2019-01-01T00:00:00 will return all reviews from the first January of 2019 until today.

    Note : The update dates are stored in UTC.

    Example: 2019-01-01T00:00:00
    update_date__lte date-time

    Filter by update_date

    Return all the reviews whose update_date <= given_date.

    For example : update_date__lte=2020-01-01T00:00:00 will return all reviews from the date of the first review until the first january of 2020.

    Note : The update dates are stored in UTC.

    Example: 2020-01-01T00:00:00
    bucket string

    Possible values: [day, week, month, year]

    Default value: week

    Defining the time range of a data bucket.

    This will determine the precision of the returned data. For example, if you choose 'day', you will receive the number of reviews for each day.

    cumulative boolean

    Default value: true

    If cumulative = false, return the average rating of reviews from the current bucket only.

    If cumulative = true, return the average rating of reviews from all the buckets until the current one (included). The cumulative representation show the evolution of the average rating over time.

Responses

Schema

  • Array [

  • date datenullable

    Start date of the bucket

    average numbernullable

    Average rating

    added numbernullable

    Number of reviews added during the current bucket.

    cum_sum numbernullable

    Cumulative sum of the number of reviews.

  • ]

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