The Scenario
You joined the sports marketing team three months ago and inherited a spreadsheet someone built before they left. Column A has 20 arena names — some of the biggest venues in North America. Your manager wants capacity, address, and box office hours filled in for all of them by Thursday so the outreach team can start personalizing their pitch templates.
The data isn't in the sheet. Nobody left notes on where it came from. You've been Googling arena names one by one and cross-referencing with venue websites, but half the box office hours are out of date and the capacity figures don't match between sources.
The bad version:
- Search each arena name on Google, find the venue's official site, and try to locate a capacity figure — often buried in a press kit or Wikipedia citation.
- Check Ticketmaster separately to see if they list the venue, and if so, copy the address from the event listing.
- Log each venue's details into the sheet manually, row by row, hoping the data format stays consistent.
This is supposed to be a one-day task. It's turned into four. The outreach team asked for an update yesterday and you told them you were "almost done." You weren't almost done.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads what's in the sheet and can talk to Ticketmaster's venue data directly, looking up each arena by name and writing the results into adjacent columns.
For each venue name in column A, search Ticketmaster venues and write the matching venue ID, city, state, address, and box office hours into columns B through F.
What You Get
- Columns B through F populated for each of the 20 venue rows.
- Venue ID from Ticketmaster's system — useful if you later need to query events at that venue.
- Full street address as Ticketmaster has it on file.
- Box office hours where available; blank cells where Ticketmaster doesn't have that data rather than a fabricated placeholder.
What If the Data Is Not Quite Ready
Some arena names in column A are informal nicknames, not the official Ticketmaster name
For each venue in column A, search Ticketmaster for a matching venue. If the exact name doesn't return a result, try a partial match and write the closest match name into column B along with the venue ID, city, and state into columns C, D, and E. Flag any rows where no match was found.
You only need address and city — the rest is noise for this step
For each venue name in column A, look up the venue on Ticketmaster and write the full address into column B and the city and state into columns C and D. Skip box office hours for now.
Some rows already have venue IDs from a prior data pull and you only want to fill in the blanks
For each row in column A where column B is empty, search Ticketmaster for that venue name and write the venue ID into column B. Leave rows that already have a value in column B untouched.
You want the full enrichment plus a quality check in one pass
For each venue name in column A, search Ticketmaster and write venue ID, address, city, state, and box office hours into columns B through F. After filling all rows, scan column B for blanks and write "NOT FOUND" in those cells so the team knows which venues need manual review.
Running the fill and the audit together means you hand off a complete picture, not a half-done spreadsheet with invisible gaps.
Try It
Get the 7-day free trial of SheetXAI and open your venue roster in a Google Sheet, then ask it to look up the first five arenas on Ticketmaster. Once you see how the address and box office data lands, run it across the full list. See also: checking upcoming events per venue ID once your directory is built.