The Reviews API returns your reviews, similar to the public JSON Display API, but also including non-published reviews and data.
Lists reviews matching the request parameters and provides a next page link if the result spans multiple pages.
It is possible to use this API endpoint to incrementally fetch and synchronize all reviews from the API.
limit, how many reviews per page, default 100, maximum 1000
client_id, the unique identifier for your client configuration.
updated_after (optional) set to YYYY-MM-DD or YYYY-MM-DDTHH:MM:SSZ (ISO 8601) to filter reviews
on updated timestamp. For example, 2021-10-01T13:00:00Z
created_after (optional) set to YYYY-MM-DD or YYYY-MM-DDTHH:MM:SSZ (ISO-8601) to filter reviews
on created timestamp. For example, 2021-10-01T13:00:00Z
order_id (optional) for filtering reviews on a specific Order ID
customer_id (optional) for filtering reviews on a specific Customer ID
after, used for pagination
See below, and see the separate description of fields.
If .links.next is set, additional pages are available by following the link.
If .errors is set, it’s a list of errors.
$ curl -u sk_token: https://api.testfreaks.com/v1/reviews?client_id=example.com
{
"data": [
{
"id": "e63b2ad38dd9ada0",
"type": "customer",
"author": "John D",
"score": 4,
"score_max": 5,
"date": "2021-11-22",
"extract": "Great product",
"pros": [
"pro1",
"pro2"
],
"cons": [],
"lang": "en",
"verified_buyer": true,
"votes_up": 0,
"votes_down": 0,
"product": "Product name",
"responses": [],
"images": [
{
"token": "43b1c28cea4f74e57701edf25ad4b671",
"format": "jpeg",
"width": 3840,
"height": 2160,
"icon": "<url>",
"icon_width": 100,
"icon_height": 100,
"medium": "<url>",
"medium_width": 1600,
"medium_height": 900,
"large": "<url>",
"large_width": 3840,
"large_height": 2160
}
],
"properties": {},
"family_ids": [
"P001"
],
"product_ids": [
"P001-02-BLK"
],
"order_id": "O123",
"customer_id": "C001",
"updated_at": "2021-11-22T06:38:04Z",
"accepted": true,
"accepted_at": "2021-11-22T08:31:46Z",
"verified_email": true,
"author_email": "john.doe@example.com",
"portal_url": "https://reviews.testfreaks.com/portal/reviews/e63b2ad38dd9ada0?client_id=your.client.id"
}
],
"links": {
"next": "https://api.testfreaks.com/v1/reviews?after=123123429"
}
}
In order to match the data format for POST/PUT, pros and cons are returned as lists instead of as combined texts as in the public JSON Display API.
Images contain additional fields as provided by the image API.
| images.token | Image token |
| images.format | Image format string |
| images.width | Original image width |
| images.height | Original image height |
Returns a single review based on its review ID.
Uses the same format as list reviews above except that it only returns a single object.
$ curl -u sk_token: https://api.testfreaks.com/v1/reviews/e63b2ad38dd9ada0?client_id=example.com
Creates a new review from the data in the JSON request body.
client_id, the unique identifier for your client configuration.
Set the Content-Type to application/json and post review data using the following structure:
{
"review": {
"external_id": "R001",
"order": {
"id": "O123",
"customer": {
"id": "C001",
"name": "John Doe",
"email": "john.doe@example.com"
},
"item": {
"id": "P001-02-BLK",
"family_id": "P001"
}
},
"author": "John D",
"score": 4,
"date": "2022-10-01",
"extract": "Review content",
"pros": ["pro1", "pro2"],
"cons": ["con1"],
"images": [
{
"token": "43b1c28cea4f74e57701edf25ad4b671",
"format": "jpeg",
"width": 3840,
"height": 2160
}
],
"custom_questions": {
"fit": "small"
},
"accepted": true
}
}
external_id (optional) can be used to provide a pre-existing review ID. Specifying an external_id that already exist will update that review rather than creating a new review.
order specifies the order details (including customer and product information) as per the v1/orders API but limited to a single order item.
author is the public author name.
score is the review score 1-5.
date (optional) is the review date for importing pre-existing reviews.
extract (optional) is the review content, limited to 60000 characters.
pros and cons (optional) are the individual positives/negatives. Limited to 2000 characters each.
images (optional) is a list of image objects where each object is the result from uploading an image to the image API.
custom_questions (optional) is a collection of question names and answer values, depending on what has been setup for the client_id.
accepted (optional) overrides the manual moderation process. true marks the review as approved. false marks the review as rejected. null resets the moderation status to the default for a new review, allowing the system to decide how to handle moderation.
Returns the posted review data or a list of errors if the request was unsuccessful. See the response format for the review listing above.
Updates a single review based on its review ID.
Uses the same JSON body as in the POST above.
Deletes a review based on its review ID.
It is possible to incrementally fetch and synchronize all reviews from the API into e.g. a database on your side.
The outline of the process looks like this:
Feel free to reach out to us if you need any assistance or want to discuss different approaches.
Fetch all reviews through GET /v1/reviews and save to your database. Don’t forget to follow any pagination links available in .links.next.
Fetch all updated reviews using GET /v1/reviews by setting update_after to a time, and save the fetched reviews to your database.
You can set update_after to one of the following:
updated_at value for any review you have seen during the last time you fetched reviews.Picking a less recent (older) time is always safe. Picking a more recent (newer) time increases the risk of missing reviews.
If you get a Review ID (.data.id) from the API that you have already seen, you can either replace or update this review in your database.
The suggested interval to fetch updated reviews is daily. Note that the interval depends on your use case.
Fetch all reviews through GET /v1/reviews on a regular basis.
Sometimes it is important that your database contains only reviews that currently exist in the API. In this case you need to delete any review from your database that is not included in the reviews fetched from the API.
The suggested interval to fetch all reviews is once a week.
Fetching all reviews more frequently will make it possible to delete reviews that no longer exist in the API more quickly, but will also use more resources.