VividSeats Scraper — Event & Resale Ticket Price Data (No API Key)

Scrape VividSeats events and live resale ticket prices from any category, performer, or venue page. This VividSeats scraper pulls event names, dates, venues, and the full secondary ticket market — min, median, average, and max asking price, all-in (fees included) price range, plus listing and ticket counts per event. Built for developers, analysts, and AI pipelines that need structured event ticket price data with no API key, no login, bulk runs, and pay per result.

The actor uses Chrome TLS impersonation, residential US proxies, and automatic session rotation to clear anti-bot walls, so you don't manage proxies or logins.

⚡ Quick start

Paste this into the Actor's Input (JSON view) and hit Start:

{
  "startUrls": [{ "url": "https://www.vividseats.com/concerts" }],
  "maxResults": 40
}

Each result row looks like:

{
  "eventId": 5471203,
  "name": "Billy Joel",
  "localDate": "2026-09-18T20:00:00",
  "minPrice": 89,
  "medianPrice": 168,
  "maxPrice": 1250,
  "listingCount": 312,
  "venueName": "Madison Square Garden",
  "url": "https://www.vividseats.com/billy-joel-tickets-madison-square-garden-9-18-2026--concerts-pop/production/5471203"
}

Or run it from the API:

POST https://api.apify.com/v2/acts/jamhimself~vividseats-events-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN

What you get

Field	Description
name / eventId / url	Event identity
localDate / utcDate	Event date/time
minPrice / maxPrice / avgPrice / medianPrice	Live ticket price distribution
minAllInPrice / maxAllInPrice	All-in (fees included) price range
listingCount / ticketCount	Market depth / liquidity
onsaleDate / presale1Date / presale2Date	Sale timing
venueName / venueCity / venueState / venuePostalCode / venueCountry	Venue
venueCapacity / latitude / longitude	Venue detail and location
performers	Lineup

Use cases

• Track resale ticket prices across concerts, sports, and theater events over time
• Compare secondary ticket market pricing between performers, venues, or dates
• Research event demand and market depth using listing and ticket counts
• Build event and ticket price datasets for dashboards or analytics
• Feed structured event data into an LLM, RAG, or AI pipeline
• Monitor presale and on-sale timing for upcoming events

Input

• startUrls — VividSeats category (/concerts, /sports, /theater), performer, venue, or region pages. Prefilled with https://www.vividseats.com/concerts.
• searchQuery — (optional) concerts / sports / theater shortcuts, or a search term. startUrls is more reliable.
• maxResults — how many events to return (paginates automatically, ~20 per page). Default 60.

Pricing

Pay per event delivered. No subscription.

A quick review on the Apify Store really helps other builders find it.