The Scenario
You're a ticketing analyst. Someone on the partnerships team just handed you a workbook with 50 Ticketmaster event IDs in column A. They want a competitive pricing analysis — they need event name, date, venue, genre classification, price range, and on-sale status for each one, and they need it formatted consistently so they can feed it into a visualization tool.
You didn't build the list. You weren't part of the research that produced it. You have the event IDs and a deadline of end-of-day.
The bad version:
- Open the Ticketmaster Discovery API documentation, find the event details endpoint, and write a query for the first ID.
- Parse the JSON response and identify which fields correspond to the columns the partnerships team specified.
- Repeat for each of the remaining 49 IDs, keeping track of which rows you've completed and catching any that return an error.
You've done this kind of work before. You know that row 34 will return something unexpected, you'll spend 20 minutes debugging it, and by the time you're done you'll have 48 clean rows and two that need manual fixes. And it'll be 6 PM.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It reads the event IDs from column A and calls Ticketmaster's event detail endpoint for each one, writing the requested fields into adjacent columns — no API client required.
For each event ID in column A, fetch the Ticketmaster event details and write the event name, date, venue name, genre, min price, max price, and on-sale status into columns B through H.
What You Get
- Columns B through H populated for each of the 50 rows.
- Date in a consistent ISO format across all rows.
- Min and max price from Ticketmaster's priceRanges field.
- On-sale status reflecting the current state at the time of the query.
- Rows where an event ID returns an error or no match are noted in column B with an error flag rather than silently left blank.
What If the Data Is Not Quite Ready
Some event IDs have already been looked up and you only need to fill in missing rows
For each row in column A where column B is blank, fetch the Ticketmaster event details and write event name into column B, date into column C, venue name into column D, genre into column E, min price into column F, max price into column G, and on-sale status into column H. Leave rows that already have a value in column B unchanged.
The partnerships team also wants the event URL for each row
For each event ID in column A, fetch the Ticketmaster event and write event name, date, venue name, genre, min price, max price, on-sale status, and the Ticketmaster event URL into columns B through I.
You need to flag events where on-sale status is not "onsale" for a separate review
For each event ID in column A, fetch the Ticketmaster event details and write the standard fields into columns B through H. In column I, write "REVIEW" if the on-sale status is not "onsale" so those rows can be pulled into a separate worksheet.
Full sweep: enrich, flag off-sale events, and sort by date in one pass
For each event ID in column A, fetch Ticketmaster event details and write event name, date, venue, genre, min price, max price, and on-sale status into columns B through H. Flag any row with on-sale status other than "onsale" in column I. After filling all rows, sort the entire worksheet by column C (date) in ascending order.
One prompt gets the analysis ready for the visualization tool without a second clean-up pass.
Try It
Get the 7-day free trial of SheetXAI and open your event ID workbook, then ask it to pull details for the first ten rows. Once the field mapping looks right, run it across all 50. See also: extracting event image URLs if the partnerships team also needs media assets for each event.