Quantitative evolution
GET/api/v2/reviews/analytics/quantitative
This endpoint lets you view the quantitative evolution of the number of reviews for all of your businesses subscribed to Review Management. The API returns the cumulative sum of the number of reviews by bucket (time range) selected overtime.
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
keywords=bonjour
returns all reviews containing the keywordbonjour
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.
Filter by business
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:
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.
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.
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.
Responses
- 200
- 400
- 401
- 403
- 404
- 422
- 500
- application/json
- Schema
- Example (from schema)
Schema
Array [
]
Start date of the bucket
Number of reviews added during the current bucket.
Cumulative sum of the number of reviews.
Cumulative sum of the number of reviews for the previous bucket.
[
{
"date": "2020-07-27",
"added": 10,
"cum_sum": 100,
"previous_sum": 90
}
]
- application/json
- Schema
- Example (from schema)
Schema
HTTP status code
Error message
Error name
{
"statusCode": 404,
"message": "Cannot find item",
"error": "Not Found"
}
- application/json
- Schema
- Example (from schema)
Schema
HTTP status code
Error message
Error name
{
"statusCode": 404,
"message": "Cannot find item",
"error": "Not Found"
}
- application/json
- Schema
- Example (from schema)
Schema
HTTP status code
Error message
Error name
{
"statusCode": 404,
"message": "Cannot find item",
"error": "Not Found"
}
- application/json
- Schema
- Example (from schema)
Schema
HTTP status code
Error message
Error name
{
"statusCode": 404,
"message": "Cannot find item",
"error": "Not Found"
}
- application/json
- Schema
- Example (from schema)
Schema
Array [
]
HTTP status code
Error message
Possible values: [query
, body
, response
, param
]
Where in the request the error occurred
errors
object[]
required
Possible values: non-empty
Path to the property with the error
constraints
object
required
Error message
{
"statusCode": 404,
"message": "Cannot find item",
"location": "query",
"errors": [
{
"path": "business.id",
"constraints": {
"object_required_property": "Required property"
}
}
]
}
- application/json
- Schema
- Example (from schema)
Schema
HTTP status code
Error message
Error name
{
"statusCode": 404,
"message": "Cannot find item",
"error": "Not Found"
}