Ticketmaster US Event & On-Sale Date Finder

Ticketmaster US Event & On-Sale Date Finder produces event and venue lists: upcoming events with organisers, venues and dates. Columns include name or title, start date, venue name, venue city, venue state, major category. Contact and quality columns: websites.

Good for finding organisers and venues that are active right now.

$0.99per 1,000 results, plus a start fee and platform usage
9columns in the output
0lists on this site use it
2026-11last updated on the Store

The columns you get

  • Name or titletitle
  • Start datestartDate
  • Venue namevenueName
  • Venue cityvenueCity
  • Venue statevenueState
  • Major categorymajorCategory
  • Lowest pricelowestPrice
  • Price currencypriceCurrency
  • Linkurl

From the published output schema, checked 2026-11-14.

What it costs

  • 100 rows in one run$0.50
  • 1,000 rows in one run$1.39
  • 10,000 rows in one run$10.30

Free-plan prices: $0.99 per 1,000 results plus a $0.40 start fee (4 GB run) per run, plus Apify platform usage at $0.20 per compute unit. The Free plan includes $5 a month (Apify pricing).

What you fill in

  • Mode
  • Search query
  • Categories
  • Artist ids
  • Venue ids
  • Event ids
  • Start urls
    Ticketmaster search, artist, venue, event or category URLs to process instead of the mode targets. Each URL is routed automatically, and several can be mixed i…
  • Date from
  • Date to
  • Sort

Other event and venue lists

Questions

What does Ticketmaster US Event & On-Sale Date Finder cost?

$0.99 per 1,000 results on the Apify Store (Free plan), plus a start fee per GB of run memory and Apify platform usage: one run of 1,000 rows costs about $1.39 before platform usage. The Free plan includes $5 a month.

Do I need to code to use it?

No. You fill in a form on the Apify Store page, start the run and download the results as CSV, Excel or JSON. You need a free Apify account.

Is it a good fit for a business list?

Good for finding organisers and venues that are active right now.

Store data checked 2026-11-14Columns from the published schema