I rely on Helium 10 to track performance across my Amazon catalog, but I need a hands-off way to pull key sales figures out of the platform and into my own reporting stack. Specifically, I’m after sales-level metrics—revenue, units sold, and average selling price—for every SKU I track. A fresh data set once a month is enough; accuracy and repeatability are far more important than real-time speed. Here’s how I picture the workflow: at the start of each month an automated job reaches into Helium 10 (API, browser automation, or another proven method—whatever is most robust) and exports the latest sales snapshot. The script then cleans the raw output and drops a neatly structured CSV or Google Sheet into a shared drive. If you can also push the results straight into BigQuery or Snowflake, even better, but a flat file is the minimum I need. Deliverables • A documented script or small app that logs in, extracts revenue, units sold, and average selling price, and saves them in a tabular format • Step-by-step setup instructions so I can run the job on my own machine or a cloud function • A quick test run showing last month’s data to prove everything is wired correctly Please let me know which approach you’d use with Helium 10, what language or tools you prefer, and roughly how long it will take to hand over a working solution.