Google Search Console
Guide to integrate your Google Search Console with Sprinkle
Datasource Concepts
Before setting up the datasource, learn about datasource concepts here
Step by Step Guide
STEP-1: Configure Connection
To learn about Connection, refer here
Log into Sprinkle application
Navigate to Datasources -> Connections Tab -> New Connection ->
Select Google Search Console
Provide all the mandatory details
Name: Name to identify this connection
Connect to Google
After pressing Connect to Google, you will see authorise screen to allow permissions required for sprinkle to read data. Press Allow
Test Connection
Create
STEP-2: Configure Datasource
To learn about datasource, refer here
Navigate to Datasources -> Datasources Tab -> Add ->
Select Google Search Console
Provide the name -> Create
Connection Tab:
From the drop-down, select the name of connection created in STEP-2
Update
STEP-3: Create Dataset
Datasets Tab: To learn about Dataset, refer here. Add Dataset for each report/dataset that you want to integrate, providing following details
Report Type (Required) :
Sites
Sitemaps
Site URL: Select from drop-down
SearchAnalytics
Site URL: Select from drop-down
Dimensions: Search Appearance dimension should be queried alone whereas other dimensions can be queried together.
Start Date: date from which the data needs to be pulled and ingested, in the YYYY-MM-DD format
Search Type: Select from Web, Images, Videos
Destination Schema (Required) : Data warehouse schema where the table will be ingested into
Destination Table name (Required) : It is the table name to be created on the warehouse. If not given, sprinkle will create like ds_<datasourcename>_<tablename>
Destination Create Table Clause: Provide additional clauses to warehouse-create table queries such as clustering, partitioning, and more, useful for optimizing DML statements. Learn more on how to use this field.
Create
STEP-4: Run and schedule Ingestion
In the Ingestion Jobs tab:
Trigger the Job, using Run button
To schedule, enable Auto-Run. Change the frequency if required
Dataset Fields
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