The Scenario
You set up a Power Automate flow six months ago that pipes Payhip paid event webhooks into an Excel workbook on SharePoint. It did exactly what it was supposed to — the "Webhook Log" worksheet now has hundreds of rows of JSON payloads in column C, each one a raw Payhip paid event object. You have the data. What you don't have is anything you can show anyone.
Someone from the finance team asked for a revenue breakdown last Tuesday. You told them it was in progress. It's Thursday.
The bad version:
- Open a row in column C, read the JSON, figure out which fields map to date, product name, buyer email, and gross amount.
- Manually extract those four values and type them into the next empty row of the "Sales Summary" worksheet.
- Repeat for every row in "Webhook Log" — all 340 of them — pausing whenever the JSON structure looks slightly different from the previous row.
The data exists. The structure to hold it exists. The bridge between them is 340 rows of manual parsing, which is several hours of work you were not budgeting for when you built the Power Automate flow.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It reads the raw payload data in one worksheet, extracts the fields you specify, and writes clean records into another — without you opening a single row by hand.
Read each row of my Excel "Webhook Log" table, extract the purchase fields from the Payhip paid event in column C, and append a clean record to the "Sales Summary" worksheet.
What You Get
- Each row in the "Webhook Log" column C is parsed for the four key fields.
- Clean records land in "Sales Summary" with one row per event: date, product name, buyer email, gross amount.
- Rows where the JSON is malformed or missing a field get flagged in a "Parse Error" column rather than silently dropped.
What If the Data Is Not Quite Ready
Some payloads include discount codes applied — you want those captured too
Parse the Payhip paid webhook JSON in column C of the "Webhook Log" worksheet and write date, product name, buyer email, gross amount, and coupon code applied (if any, otherwise blank) into the "Sales Summary" worksheet, one row per event.
The "Webhook Log" worksheet has non-JSON rows from a different trigger mixed in
For each row in column C of the "Webhook Log" worksheet, check whether the value is a valid Payhip paid event JSON object. If it is, extract date, product name, buyer email, and gross amount and write a clean row to "Sales Summary". If it's not a Payhip paid event, write the row number and a note into an "Errors" worksheet.
The sales summary already has some rows — you only want to append new events
Find the most recent date already in the "Sales Summary" worksheet's date column. Then parse only the rows in "Webhook Log" column C whose event date is later than that date, and append clean rows — date, product name, buyer email, gross amount — to the bottom of "Sales Summary".
Full pipeline in one prompt — parse, clean amounts, deduplicate, and write a summary
Parse the Payhip paid webhook JSON in column C of "Webhook Log". Convert gross amounts from cents to dollars. Deduplicate by transaction ID. Write clean rows to "Sales Summary" and a pivot summary of gross revenue by product name to a "Product Summary" worksheet.
The whole transformation from raw webhook dump to reportable revenue data runs in a single ask.
Try It
Get the 7-day free trial of SheetXAI and open the workbook where your Payhip webhook payloads are landing, then ask it to parse and clean the full log into a revenue tracker. For the next analysis step, see Reconcile Payhip Refund Events Against a Sales Log in an Excel workbook or return to the Payhip integration overview.