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Ticketmaster · Excel Guide

Build a Ticketmaster Event Classification Taxonomy Sheet

2026-05-14
5 min read

The Scenario

You're a product manager building a live events discovery app. Your team is adding category filter functionality, and you need a complete reference table of every Ticketmaster segment, genre, and subgenre — with IDs — so the engineering team can hardcode the taxonomy into the filter system.

You know Ticketmaster uses a classification hierarchy: segments like Music and Sports, genres under each segment, and subgenres under each genre. You know the IDs matter because the API uses them as query parameters. What you don't know is how many there are, and you don't have the data in a workbook yet.

The engineering lead asked for this yesterday. You said you'd get it over "today."

The bad version:

  • Open the Ticketmaster Discovery API documentation, find the classifications endpoint, and call it.
  • Page through the response, which returns nested objects — segments containing arrays of genres containing arrays of subgenres.
  • Manually flatten the hierarchy, writing segment name, segment ID, genre name, genre ID, subgenre name, and subgenre ID row by row into a workbook.

Flattening a nested taxonomy into a flat worksheet by hand is exactly the kind of task that sounds quick and takes an hour. And if you miscopy an ID along the way, the engineering team builds filters against bad data.

The Easy Way: One Prompt in SheetXAI

SheetXAI is an AI agent that lives inside your Excel workbook. It can call Ticketmaster's classification endpoint, traverse the nested hierarchy, and write each segment, genre, and subgenre as its own flat row into a reference worksheet.

Fetch all Ticketmaster event classifications and write each segment, genre, and subgenre with their IDs and parent IDs into the Taxonomy worksheet, one row per entry.

What You Get

  • One row per classification entry in the Taxonomy worksheet.
  • Columns for segment name, segment ID, genre name, genre ID, subgenre name, and subgenre ID where applicable.
  • Parent ID relationships preserved so the engineering team can reconstruct the hierarchy programmatically.
  • The full classification tree written in a single pass — no pagination gaps.

What If the Data Is Not Quite Ready

You only need the Music segment for this sprint

Pull all Ticketmaster genres under the Music segment and write genre name and genre ID into columns A and B of the Taxonomy worksheet.

You need the full hierarchy but also want a count of genres per segment

Fetch all Ticketmaster classifications and write them into the Taxonomy worksheet with columns for segment name, segment ID, genre name, genre ID, subgenre name, and subgenre ID. After writing all rows, add a summary section at the bottom with each segment name and the count of genres under it.

You want the taxonomy filtered to just Music and Sports for v1 of the filters

Fetch Ticketmaster classifications for the Music and Sports segments only. Write segment name, segment ID, genre name, genre ID, and subgenre name into columns A through E of the Taxonomy worksheet. Skip Arts, Film, and Miscellaneous segments.

Full build: fetch, flatten, validate IDs, and flag any missing parent relationships

Fetch all Ticketmaster classifications and write to the Taxonomy worksheet with columns for segment name, segment ID, genre name, genre ID, subgenre name, and subgenre ID. In column G, flag any row where genre ID is blank with "MISSING GENRE ID" and any row where subgenre name is populated but subgenre ID is blank with "MISSING SUBGENRE ID" so the engineering team knows which entries need follow-up.

Hand the engineering team a validated reference table and the ID-completion gaps are surfaced before they become a bug.

Try It

Get the 7-day free trial of SheetXAI and open a blank Excel workbook designated for your Ticketmaster taxonomy reference, then ask it to pull all classifications into a flat table. Once the data lands, you have the complete ID set your filters need. See also: comparing event volume across cities to see which genre classifications are most active in your target markets.

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