Bestsellers
Bestsellers pipeline can be used to request and retrieve an ASIN list of the most popular products based on sales in a specific category or product group.
Read more about this end-point here
Configuring the Credentials
Select the account credentials which have access to relevant Keepa-Amazon Price Tracker data from the dropdown menu & Click Next
Setting Parameters
Parameter | Description | Values |
---|---|---|
Domain ID |
Required Select the domain ID of the Amazon locale for which you want to retrieve deals.Keepa is tracking the products of the Amazon shops in the US, Germany, Great Britain, France, Italy, Spain, Canada, Japan, India, Mexico and Brazil. |
{com, co.uk, de, fr, co.jp, ca, it, es, in, com.mx} |
Category |
Required Select the categories that you want to request the best sellers list for. |
{Select Product Category from dropdown} |
Insert Mode |
Required Specifies the manner in which data will get updated in the data warehouse : UPSERT will insert only new records or records with changes, APPEND will insert all fetched data at the end, REPLACE will drop the existing table and recreate a fresh one on each run.Recommended to use 'Upsert' option unless there is a specific requirement. |
{Upsert, Append, Replace} Default Value: UPSERT |
Range |
Required Specify range to retrieve a best seller list based on a sales rank average instead of the current sales rank. You can choose between: 0: use current rank, 30: 30 day average, 90: 90 day average, 180: 180 day average. |
{0, 30, 90, 180} |
Datapipeline Scheduling
Scheduling specifies the frequency with which data will get updated in the data warehouse. You can choose between Manual Run, Normal Scheduling or Advance Scheduling.
- Manual Run
-
If scheduling is not required, you can use the toggle to run the pipeline manually.
- Normal Scheduling
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Use the dropdown to select an interval-based hourly, monthly, weekly, or daily frequency.
- Advance Scheduling
-
Set schedules fine-grained at the level of Months, Days, Hours, and Minutes.
Detailed explanation on scheduling of pipelines can be found here
Dataset & Name
- Dataset Name
-
Key in the Dataset Name(also serves as the table name in your data warehouse).Keep in mind, that the name should be unique across the account and the data source. Special characters (except underscore _) and blank spaces are not allowed. It is best to follow a consistent naming scheme for future search to locate the tables.
- Dataset Description
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Enter a short description (optional) describing the dataset being fetched by this particular pipeline.
- Notifications
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Choose the events for which you’d like to be notified: whether "ERROR ONLY" or "ERROR AND SUCCESS".
Once you have finished click on Finish to save it. Read more about naming and saving your pipelines including the option to save them as templates here
Still have Questions?
We’ll be happy to help you with any questions you might have! Send us an email at info@datachannel.co.
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