The Scenario
You're a festival programmer and the booking committee meets Friday to review 30 artist names for potential slots. Your job before that meeting is to pull Ticketmaster data for each artist: attraction ID, primary genre, subgenre, and a rough signal of how many upcoming events they have booked.
The list is in column A of your Excel workbook. It's been growing all week as names got added. You have no idea which of these artists Ticketmaster even has records for. Some are mainstream — their data will be clean. Some are regional acts where the match might be ambiguous. And you haven't started yet.
The bad version:
- Open Ticketmaster, search the first artist name in the Attractions search, and try to identify the right match if multiple results come back.
- Note the attraction ID, genre, and subgenre somewhere, then go back and repeat for artist two.
- Manually type the data into the workbook row by row, re-checking your notes when you lose track of which row maps to which artist.
Thirty artists. Thirty separate searches. You're the programmer — you're supposed to be doing curatorial work, not acting as a data entry clerk for an API you don't have time to learn.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It reads your artist names and queries Ticketmaster's attraction search for each one, pulling the data you need into adjacent columns without you opening a single external tab.
For each artist name in column A, search Ticketmaster attractions and write the attraction ID, genre, subgenre, and number of upcoming events into columns B through E.
What You Get
- Column B: Ticketmaster attraction ID for the matched record.
- Column C: primary genre classification.
- Column D: subgenre classification where available.
- Column E: count of upcoming events associated with that attraction.
- Rows where no Ticketmaster record matches the artist name are flagged with a blank ID so they stand out for manual review.
What If the Data Is Not Quite Ready
Some artists have multiple Ticketmaster records and you need to pick the right one
For each artist name in column A, search Ticketmaster attractions. If multiple results are returned, write the first match's attraction ID and genre into columns B and C, and write the number of results found into column D so I can spot ambiguous entries.
You need the segment classification too, not just genre
For each artist name in column A, look up Ticketmaster attractions and write the attraction ID into column B, the segment (Music, Sports, Arts) into column C, and the primary genre into column D.
Half the names in column A are already in column B as attraction IDs from a previous pull
For each row where column B is blank, treat the value in column A as an artist name, search Ticketmaster attractions, and write the attraction ID and genre into columns B and C. Leave rows that already have a value in column B unchanged.
You need the full research picture — ID, genre, event count, and a booking signal — in one shot
For each artist name in column A, search Ticketmaster attractions. Write attraction ID into column B, genre into column C, subgenre into column D, and upcoming event count into column E. In column F, write "Active" if the event count is 5 or more, "Occasional" if 1 to 4, and "Dormant" if 0. Flag rows with no Ticketmaster match by writing "NO MATCH" in column B.
The booking committee can sort by column F and immediately see which artists are currently touring at volume versus who hasn't had a date in months.
Try It
Get the 7-day free trial of SheetXAI and open your artist roster in an Excel workbook, then ask it to look up the first ten names on Ticketmaster. Once you see how the genre and ID data lands, run it across the full 30. See also: expanding artist data into full event detail rows once you have the attraction IDs you need.