Connect TikTok Shop to PostgreSQL

Connect TikTok Shop and add PostgreSQL as the stored destination. Create a datastream, then save a job that sends the required records to the "product variants" table.

Select concrete TikTok Shop fields such as Payment Buyer Service Fee, Payment Handling Fee, Payment Item Insurance Fee, and Day of the month. You can rename the chosen columns, preview the result, and write them to PostgreSQL tables such as stores, customers, and products.

Choose how far back the first TikTok Shop load should go and how much recent data each "product variants" run should refresh. Catchr splits large backfills into smaller intervals.

For recurring TikTok Shop loads, assign an eligible partition field to "product variants". Otherwise Catchr cannot match the refresh window and will append the returned records.

With TikTok Shop data, a PostgreSQL query can summarize revenue, orders, units sold, and average order value by sales channel. Join Payment Buyer Service Fee and Payment Handling Fee with shared account or date keys to build a reusable performance model in PostgreSQL.

Yes. Connect an existing PostgreSQL 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.