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Bing Webmaster Tool
Selected accounts
Configured job
Snowflake
Destination table
Join marketing, finance, CRM, and product data inside the same warehouse.
Metrics availables
Dimensions availables
Bing Webmaster Tool
3 advertising accounts
Connected
Google Ads
2 advertising accounts
Connected
Google Analytics 4
1 web property
Connected
HubSpot
1 CRM portal
Connected
Add the account host, user, and database schema. Use a password for compatible users or a PEM private key for service accounts and stricter policies.
Choose the fields, initial history, partition field, and recurring schedule for the job. Catchr refreshes the configured import window in your PostgreSQL table.
This example summarizes clicks, impressions, click-through rate, and average position by search query.
Each connector has its own entities, fields, historical limits, and reporting uses. Open a source page for the details that belong to that platform.
Answers about PostgreSQL setup, available source data, schedules, table updates, and SQL use cases.
Connect Bing Webmaster Tool as a Catchr source. Add your existing Snowflake database, create a datastream, and configure a job that writes the selected fields to the "sites" table.
Select concrete Bing Webmaster Tool fields such as All Other Codes, Avg Click Position, Avg Impression Position, and Day of the month. You can rename the chosen columns, preview the result, and write them to Snowflake tables such as sites, pages, and queries.
Catchr first processes the historical range configured for Bing Webmaster Tool. Later runs update the "sites" table using the saved frequency and rolling import window.
Catchr uses the selected partition field to refresh the relevant Bing Webmaster Tool period inside "sites". Leaving it blank changes the job to append-only behavior.
With Bing Webmaster Tool data, a Snowflake query can summarize clicks, impressions, click-through rate, and average position by search query. A Snowflake view comparing All Other Codes and Avg Click Position can feed agency dashboards or downstream BI models.
Yes. Connect an existing Snowflake 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.
Our teams is always here to responds to any question you could have about our data connector.
Connect your marketing platforms and build a data workflow your entire agency can use.
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