Connect Google Trends to Azure SQL

Add Google Trends in Sources and connect the existing Azure SQL database in Storage. A datastream defines the route, while the job loads the chosen fields into "sites".

Select concrete Google Trends fields such as Region Interest, Related Query Rising Value, Related Query Interest, and Day of the month. You can rename the chosen columns, preview the result, and write them to Azure SQL tables such as sites, pages, and queries.

Define the first Google Trends fetch, run frequency, and lookback window in the "sites" job. Each scheduled run replaces data inside the configured period.

Use a supported date field to partition "sites". Recurring Google Trends runs can then update the selected window instead of adding another copy of the same period.

With Google Trends data, an Azure SQL query can summarize clicks, impressions, click-through rate, and average position by search query. Model Region Interest and Related Query Rising Value in SQL, then expose the result to dashboards, internal tools, or recurring client reports.

Yes. Connect an existing Azure SQL  database first. The Catchr job creates and populates the destination table you configure inside that database.

Yes. Create a separate datastream and job for each source, write each export to its own table, then combine the data downstream with SQL, views, or your BI tool.