Catalog Items by Keyword

Catalog items by Keyword pipeline can be used to request and retrieve information about items in the Amazon catalog by keyword.

Configuring the Credentials

Select the account credentials which have access to relevant Amazon Vendor Central data from the dropdown menu & Click Next

Credentials not listed in dropdown ?: Click on + Add New for adding new credentials

Data Pipelines Details

Data Pipeline: Select Catalog Items by Keyword from the dropdown

amazonvendorcentral catalog items by keyword list

Setting Parameters

Parameter Description Values

Parameter	Description	Values
Insert Mode	*Optional* 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.	Upsert, `Append, `Replace` *Default Value:* Upsert
Keywords	*Required* A comma-delimited list of keywords to search the Amazon catalog for. eg.: luggage	String value
Brand Names	*Required* A comma-delimited list of brand names to refine search results. e.g.: Samsung	String value
Classification IDs	*Required* A comma-delimited list of classification identifiers to refine search results. e.g.: 7141124011	String value
Keywords Locale	*Required* Locale of the keywords provided.. e.g.: en_US	String value

Insert Mode

Optional

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.

Upsert, `Append, `Replace`

Default Value: Upsert

Keywords

Required

A comma-delimited list of keywords to search the Amazon catalog for. eg.: luggage

String value

Brand Names

Required

A comma-delimited list of brand names to refine search results. e.g.: Samsung

String value

Classification IDs

Required

A comma-delimited list of classification identifiers to refine search results. e.g.: 7141124011

String value

Keywords Locale

Required

Locale of the keywords provided.. e.g.: en_US

String value

amazonvendorcentral catalog items by keyword config

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: 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: Enter a short description (optional) describing the dataset being fetched by this particular pipeline.
Notifications: 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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