Ticket data for brokers: price against every marketplace

Off-the-shelf analytics tools show every broker the same charts, so they don't give you an edge. Build your own pricing workflow on real-time data: every competing listing in your section, on every marketplace, all-in, at the moment you price.

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18 marketplaces, one schema. Failed captures are never billed.

The same pair on six marketplacesSection 110, row 36, seats 4 and 5. Eagles at Sphere, Dec 11
  1. TickPickcheapest$385
  2. SeatGeek+$12$397
  3. Vivid Seats+$18$403
  4. Gametime+$21$406
  5. StubHub+$26$410.58
  6. GoTickets+$38$423

Live captureAll-in per ticket. StubHub and GoTickets list row 36 without seat numbers

Overview

What ticket data do brokers use to price?

To price a listing, a broker needs the comparable listings: the same section, nearby rows, the same quantity, on every marketplace where buyers will compare, at the all-in price the buyer actually sees. Get-in price and depth tell you how crowded the section is.

Tickets.dev returns every listing on an event, not the lowest price, so you can filter to your section and quantity and compare like with like. Fees stay separate from the ticket price, so a fees-included marketplace and a fees-at-checkout one compare fairly.

Generic analytics tools decide for you which events, which sections and which numbers matter, and show the same view to every seller. With the raw listings you decide: your events, your sections, your rules, on your schedule.

In our October 18, 2026 captures of the Eagles at Sphere, the same two seats (section 110, row 36, seats 4 and 5) were listed on four marketplaces at once, from $385 to $406 a ticket all-in. That spread is what a broker prices into.

Start with the API documentation, review the complete ticket marketplace API, or try a marketplace endpoint in the playground.

Supported marketplaces

Every marketplace your buyers compare

Capture the event on each marketplace you list on, and on the ones you don't, to see every competing listing in your section.

Ticketmaster listingsStubHub listingsStubHub International listingsSeatGeek listingsTickPick listingsVivid Seats listingsGametime listingsViagogo listingsGoTickets listingsPaciolan listingsProVenue listingsGoFevo listingsTelecharge listingsBroadway Direct listingsATG Tickets listingsCirque du Soleil listingsVegas.com listingsSpotlight.Vegas listings
Structured JSON

What the ticket broker data API returns

Each capture returns the event and every listing on it, with section, row, quantity, sellable splits, ticket price, fee and all-in total, plus the market statistics for the event.

Event and performers

Which event was captured: marketplace IDs, names, performers, dates in local and UTC time, and the source page URL.

sourceeventIdeventNameperformerseventDateLocaleventDateUtcsourceUrlnote

Venue

The venue behind the event, down to street address, state, and timezone.

venueIdvenueNamevenueAddressvenueCityvenueStatevenueTimezone

Capture context and seat maps

When the snapshot ran, its currency, and hosted section-level and seat-level maps for the venue.

capturedAtcurrencysectionLevelUrlseatLevelUrl

Market statistics

Listing depth and price distribution computed from the full captured listing set, not a sample.

listingCountticketCountgetInPricemedianPriceavgPricemaxPrice

Every listing, itemized

All current listings with seat location, quantities, price components, ticket type, seats, and marketplace notes.

listingIdinventoryTypesectionrowquantityticketPricefeetotalPriceticketTypesellableQuantitiesgroupseatslistingNotesdealScore

Venue layout

With maps on, the venue map as data: every section, row, and seat, with capacities at seat level.

venueLayoutlevelcapacitysectionsrowsseats
Example capture response
{
  "source": "ticketmaster",
  "eventId": "17006483D6FAFC60",
  "eventName": "Eagles Live at Sphere",
  "performers": [
    {
      "performerId": "734977",
      "name": "Eagles",
      "master": true
    }
  ],
  "venueId": "189524",
  "venueName": "Sphere",
  "venueAddress": "255 Sands Avenue",
  "venueCity": "Las Vegas",
  "venueState": "NV",
  "venueTimezone": "America/Los_Angeles",
  "eventDateLocal": "2026-12-11T20:30:00-08:00",
  "eventDateUtc": "2026-12-12T04:30:00+00:00",
  "sourceUrl": "https://www.ticketmaster.com/…",
  "capturedAt": "2026-08-01T22:05:48Z",
  "currency": "USD",
  "note": "PLEASE NOTE: Pricing is all-in and…",
  "sectionLevelUrl": "https://storage.tickets.dev/…",
  "seatLevelUrl": "https://storage.tickets.dev/…",
  "stats": {
    "listingCount": 136,
    "ticketCount": 1037,
    "getInPrice": 303.08,
    "medianPrice": 710.95,
    "avgPrice": 746.14,
    "maxPrice": 2309.85
  },
  "listings": [
    {
      "inventoryType": "primary",
      "section": "101",
      "row": "34",
      "quantity": 2,
      "ticketPrice": 243.5,
      "fee": 59.58,
      "totalPrice": 303.08,
      "ticketType": "limited view of sphere screen…",
      "sellableQuantities": "1,2",
      "seats": "1,2"
    },
      ⋯ 135 more listings
  ],
  "venueLayout": {
    "level": "seat",
    "capacity": 16390,
    "sections": [
      ⋯ 44 sections
    ]
  }
}
Built for production

Your workflow, not another generic dashboard

Tickets.dev is a data input. Keep the point of sale you use and build the pricing logic that is yours, on real-time listings from the whole market.

Section-level comps

Filter every listing to your section, row range and quantity, on every marketplace that sells the event.

All-in, like for like

ticketPrice, fee and totalPrice are kept apart, so you compare what the buyer pays everywhere.

Sellable splits

sellableQuantities shows which quantities a listing will sell, so a 4-ticket listing that won't split to 2 doesn't count against your pair.

Fits your stack

Call it from your pricing scripts, a spreadsheet job or an AI agent over MCP. Failed captures are never billed.

Use cases

Ticket data for resellers and brokers

Competitive pricing

Price against the cheapest comparable listing across marketplaces, not just the one you list on.

Undercut alerts

Capture on a schedule and alert when a listing in your section drops below your price.

Sourcing

Find the cheapest route into a section and quantity across every marketplace.

Depth and crowding

See how many tickets compete in a section before you list more.

Face value check

Compare resale asks with the box office's own price for the same event.

Section maps

Colour the marketplace's own seat map by price or depth with includeVenueMaps.

Guides

Build it step by step

Walkthroughs for building the use cases above.

Build StubHub and SeatGeek Price Alerts in Python

Get alerted when listings in your section and quantity drop below a price.

Compare Ticket Prices Across Marketplaces with One API

Rank the same seats and quantity by all-in price across marketplaces.

Best Ticket Reseller Software & Tools in 2026

Where a data API fits beside broker POS, pricing and inventory tools.

How to Track NFL Ticket Prices Into Kickoff

How NFL resale prices, fees and the lowest ask move in the week before kickoff.

FAQ

Ticket Data for Brokers questions

What data do ticket resellers use to price their listings?

The comparable listings for the same event: same section, nearby rows and the same quantity, across every marketplace, at the all-in price. Depth and get-in price show how crowded the section is. Tickets.dev returns all of it in one capture per marketplace.

Can I see what competitors list at in the same section?

Yes. Each capture returns every listing on the event with its section, row, quantity and all-in price. Filter to your section and quantity and you have the competing listings on that marketplace.

Is there a ticket broker data API?

Yes. Send any supported event URL to GET /v1/capture and receive every listing as normalized JSON. The same fields come back from every marketplace, so one pricing script covers all of them.

Why not use an existing ticket analytics tool?

Most of them show every broker the same charts and the same comps, so they can't give you an edge. Tickets.dev gives you every live listing, and you build the workflow: which events you watch, how you compare, when you reprice.

Does Tickets.dev replace my broker POS?

No. It doesn't hold your inventory or list tickets. It supplies market data to the tools you already use, or to your own scripts.

Can I get alerted when a listing in my section drops below my price?

Yes. Capture the event on a schedule and compare each new listing in your section and quantity with your price. The price alerts guide has working code.

Does a listing that disappears mean it sold?

Not necessarily. It may have sold, been delisted or been relisted at a new price, and the captures can't tell which. Don't count removals as sales.

Start free

Run your first capture free

Send any supported event URL and get live listings, all-in prices, and seat maps back as normalized JSON. No credit card required.

Get API keyTry the playground