Ticketmaster Scraper

Scrape every listing on any Ticketmaster event, with section, row, seat numbers, face price, fees and the all-in price. Paste event URLs and get one row per listing, ready for Excel, Google Sheets or your own database.

Every run reads the live event page, so prices and inventory are current to the minute.

What you get

Field
eventName, eventDateLocal, venueName, venueCity	The event
section, row, seats, quantity	Where the tickets are and how many
ticketPrice, fee, totalPrice, currency	Price per ticket, fee per ticket, and the all-in price before tax
inventoryType, ticketType, listingNotes, group	Primary or resale, delivery, notes and zone
dealScore, sellableQuantities, listingId	The marketplace's deal score, how many you can buy, and its listing id
eventUrl, capturedAt	The page captured, and when

Ticketmaster specifics:

• inventoryType is primary (sold by Ticketmaster) or resale.
• ticketPrice is the face price and fee is Ticketmaster's fee per ticket.
• ticketType is Ticketmaster's offer name, such as standard admission or Official Platinum, including accessibility flags.
• seats lists seat numbers, or is empty when they aren't disclosed. A run starting at 9001 means the seller withheld them.

How to use it

1. Paste one or more Ticketmaster event URLs.
2. Start the run. Most events take 5 to 20 seconds.
3. Download the results as CSV, Excel or JSON, or read them through the Apify API.

Example input:

{
  "startUrls": [{ "url": "https://www.ticketmaster.com/cirque-du-soleil-o-las-vegas-nevada-08-07-2027/event/2E00652BC8766629" }],
  "includeVenueMaps": false
}

Example output row:

{
  "marketplace": "ticketmaster",
  "eventId": "17006483D6FAFC60",
  "eventName": "Eagles Live at Sphere",
  "eventDateLocal": "2026-12-11T20:30:00-08:00",
  "eventDateUtc": "2026-12-12T04:30:00+00:00",
  "venueName": "Sphere",
  "venueCity": "Las Vegas",
  "venueState": "NV",
  "eventUrl": "https://www.ticketmaster.com/eagles-live-at-sphere-las-vegas-nevada-12-11-2026/event/17006483D6FAFC60",
  "capturedAt": "2026-09-22T15:44:01.690209+00:00",
  "currency": "USD",
  "section": "107",
  "row": "WC",
  "seats": "8",
  "quantity": 1,
  "ticketPrice": 243.5,
  "fee": 59.58,
  "totalPrice": 303.08,
  "inventoryType": "primary",
  "ticketType": "limited view of sphere screen - full view of band and stage limited view of sphere screen - full view of band and stage main level seating limited view of sphere screen - full view of band and stage accessible companion",
  "listingNotes": "",
  "group": "",
  "dealScore": "",
  "sellableQuantities": "1",
  "listingId": ""
}

Seat maps

Turn on Include seat maps to also get the venue map. Every row gains sectionLevelUrl, an SVG of the sections, and seatLevelUrl, an SVG of the seats or rows. Each section in the SVG carries a data-section attribute that matches the listings' section, so you can color the map by price. Each event's full capture, with every section, row and seat as data, is saved in the run's key-value store. Seat maps add time to each capture.

Track prices over time

Schedule the actor hourly or daily in Apify. Every row carries capturedAt, so each run adds a snapshot and you build your own price history for the events you care about.

Pricing

You pay per event captured, however many listings it has. Captures that fail are not charged. Free Apify plans capture up to 3 events per run.

FAQ

How is this different from the Ticketmaster Discovery API?

The Discovery API returns events, not tickets. This actor returns the listings on the event page itself, with prices, fees and seats.

How fresh is the data?

Live. Each event is loaded when your run reaches it.

I need this in my own app, or other marketplaces too

This actor runs on the Tickets.dev API, which returns the same data for Ticketmaster, StubHub, SeatGeek, Vivid Seats, TickPick, Gametime, Viagogo and more.

Is this affiliated with Ticketmaster?

No. Tickets.dev is independent and not affiliated with Ticketmaster.