Import SKUs into the repository using a CSV file.
The CSV file has to include headers in the first line. All properties which cannot be mapped to standard SKU fields will be added to the metadata object. You can find an example template here.
Curl Example
curl -X POST \
https://api.voucherify.io/v1/skus/importCSV \
-F file=@/path/to/skus.csv \
-H "X-App-Id: c70a6f00-cf91-4756-9df5-47628850002b" \
-H "X-App-Token: 3266b9f8-e246-4f79-bdf0-833929b1380c"
Import sequence
First import products using the dedicated endpoint, then import SKUs using this endpoint to properly match SKUs to products.
Standard SKU fields mapping
- Required fields are
source_idandproduct_id.- Supported CSV file headers:
product_id,sku,source_id,price,image_url,attributes- SKU source_id must be unique in the entire product catalog, no duplicates are allowed.
- SKU attributes need to be in the form of a stringy-fied json, i.e.
"{'color':'blue'}". These attributes must be defined in the product beforehand so you can import them to the SKU.- You can use this method to update the following parameters in bulk: sku and the sku price.
- Columns that cannot be mapped to standard fields will be mapped to Custom attributes and added as product metadata. There is no limit on the number of custom attributes that you can import as metadata.
This API request starts a process that affects Voucherify data in bulk.
In case of small jobs (like bulk update) the request is put into a queue and processed once every other bulk request placed in the queue prior to this request is finished. However, when the job takes a longer time (like vouchers generation) then it is processed in small portions in a round-robin fashion. When there is a list of vouchers generation scheduled, then they will all have the IN_PROGRESS status shortly. This way, small jobs added just after scheduling big jobs of the same type will be processed in a short time window.
The result will return the async ID. You can verify the status of your request via this API request.