Ticketmaster Events, Venues & Attractions Scraper

Extract structured event data from Ticketmaster at scale — event dates, prices, venues, GPS coordinates, full lineups, genres and images — as clean JSON ready for Sheets, a database, or your app. Built on the official Discovery API backend that the Ticketmaster mobile app uses, so it is reliable and does not break on CAPTCHAs or bot-detection like HTML scrapers do.

Who it's for

• Event & price analysts — track on-sale dates, price ranges and availability across markets.
• Media, apps & aggregators — power event listings, calendars and "what's on" pages with fresh data.
• Marketers & agencies — build target lists by artist, genre, city or venue.
• Researchers & data teams — analyze the live-entertainment market by segment, genre and geography.

What you can scrape

Choose a resultType:

Result type	What you get
Events (default)	Concerts, sports, theater & family events with dates, prices, venue, lineup, images
Attractions	Artists, teams and performers with upcoming-event counts and social links
Venues	Venues with address, GPS, box-office info and parking details
Classifications	The Ticketmaster genre taxonomy (segments → genres)

Output fields (events)

Field	Type	Description
id	string	Ticketmaster event ID
name	string	Event name
url	string	Canonical event page URL
local_date / local_time	string	Local start date and time
datetime_utc	string	UTC start instant (ISO 8601)
status	string	onsale, offsale, cancelled, …
price_min / price_max / currency	number/string	Face-value price range
segment / genre / sub_genre	string	Classification
venue	object	Venue name, city, state, country, address, postal code, lat/long
venue_name / city	string	Convenience flat fields
attractions	array	Lineup (artist/team names)
attraction_ids	array	Attraction IDs for enrichment
promoter	string	Promoter name
sale_start / sale_end	string	Public on-sale window
info / please_note / ticket_limit	string	Event notes and ticket limits
seatmap_url	string	Static seat-map image
image_url	string	Best event image
scraped_at	string	Extraction timestamp (UTC)

Attractions, venues and classifications each return their own documented fields.

Use cases

• Price & on-sale monitoring — schedule daily runs for an artist or venue and watch price ranges and sale windows change.
• Event feed for an app — pull all events in a city or geo-radius to populate a listings product.
• Artist tour tracking — search an attraction and get every upcoming date and venue.
• Market research — scrape by genre/segment across cities to size a market.

Input parameters

Field	Type	Default	Description
resultType	enum	events	events / attractions / venues / classifications
keywords	array	—	Search terms (artist, event, team, venue)
market	enum	US	Ticketmaster market host
countryCode	string	—	ISO country filter (US, GB, …)
city / stateCode / postalCode	string	—	Location filters
classificationName	string	—	Genre/segment (Music, Sports, …)
startDateTime / endDateTime	string	—	ISO 8601 date window
latlong + radius + unit	string/int	—	Geo-radius search
sort	enum	date,asc	Result ordering
maxItems	int	100	Max results per keyword (≤ 1000)

Example input

{
  "resultType": "events",
  "keywords": ["Taylor Swift"],
  "countryCode": "US",
  "sort": "date,asc",
  "maxItems": 50
}

Example output (one row)

{
  "id": "vvG1VZ...",
  "name": "Taylor Swift | The Eras Tour",
  "url": "https://www.ticketmaster.com/event/...",
  "local_date": "2026-08-16",
  "local_time": "19:00:00",
  "datetime_utc": "2026-08-17T01:00:00Z",
  "status": "onsale",
  "price_min": 49.5,
  "price_max": 449.5,
  "currency": "USD",
  "segment": "Music",
  "genre": "Pop",
  "venue_name": "MetLife Stadium",
  "city": "East Rutherford",
  "attractions": ["Taylor Swift"],
  "image_url": "https://s1.ticketm.net/dam/a/...",
  "scraped_at": "2026-07-21T00:00:00+00:00"
}

Scheduling & integrations

Run on a schedule for continuous monitoring, and connect the dataset to Google Sheets, Make, Zapier, or S3 via Apify integrations and webhooks. Every run's output is available through the Apify API and dataset exports (JSON, CSV, Excel).

MCP / AI assistants

Prefer a live, conversational interface? Use the companion Ticketmaster MCP Server actor to let Claude, Cursor, ChatGPT and other AI agents search events, attractions and venues on demand.

FAQ

Where does the data come from? Ticketmaster's official Discovery API backend (the same one the mobile app uses) — not fragile HTML scraping — so results are consistent and structured.

How fresh is it? Live at run time. Schedule the actor to keep a dataset current.

Is there a result limit? The underlying API caps deep paging at 1000 results per query; narrow with filters (city, date, classification) to cover more.

Which countries are supported? US/Canada, Mexico, Australia, New Zealand, UK and Ireland via the market setting, plus any countryCode filter.

Is it reliable? Yes — because it uses the official API backend, there are no CAPTCHAs or bot-detection failures typical of website scrapers.