Vivid Seats Scraper

No API key. No account. Get Vivid Seats events (with live ticket prices), performers, and venues as clean JSON.

Reads the same event data vividseats.com shows its visitors: dates, venues, performers, min/max/average ticket prices, listing and ticket counts.

Why this scraper?

• No API key or account required
• Six query modes: browse events, search, events by performer, events by venue, performer directory, venue directory
• Live pricing: min/max/average/median ticket price and listing count per event
• One size setting: limit (Max results). Default 1,000; set 0 to get everything

What you can fetch

• Browse events: concerts, sports, and theater nationwide, soonest first; pick one category or get all three merged by date
• Search: type a performer or venue name ("Metallica", "Madison Square Garden") and get all of its upcoming events; any other term returns up to 25 keyword-matched events
• Events by performer: every upcoming show for a performer, soonest first
• Events by venue: every upcoming event at a venue, soonest first
• Performer directory: Vivid Seats' ranked performer list (up to 1,000), or performers matching a name
• Venue directory: Vivid Seats' ranked venue list (up to 1,000)

Usage

Choose a queryType and fill in the matching fields.

Browse upcoming concerts in December

{ "queryType": "browse", "categoryId": "2", "dateFrom": "2026-12-01", "dateTo": "2026-12-31" }

Search by performer or venue name

{ "queryType": "search", "q": "Metallica", "limit": 50 }

Get every show for a performer

{ "queryType": "performer", "performerId": "40710", "limit": 0 }

Get all events at a venue

{ "queryType": "venue", "venueId": "973" }

Find performers by name

{ "queryType": "performers", "q": "taylor" }

Venue directory

{ "queryType": "venues", "limit": 100 }

Input fields

Field	Type	Description
queryType	select	browse (default), search, performer, venue, performers, or venues
q	string	Search term. Required for search; optional name filter for performers
performerId	string	Numeric Vivid Seats performer ID. Required for performer (find IDs with performers)
venueId	string	Numeric Vivid Seats venue ID. Required for venue (find IDs with venues)
categoryId	select	browse only: 2 Concerts, 3 Sports, 4 Theater. Empty = all three, merged by date
dateFrom	string	Only events on or after this day, YYYY-MM-DD (event's local date)
dateTo	string	Only events on or before this day, YYYY-MM-DD (event's local date)
sort	string	Event lists are always soonest first. Only date is accepted
limit	integer	Max results. Default 1000. Set 0 to get all results

Limits to know

• Browse is capped by Vivid Seats at 1,000 events per category (3,000 when merging all three). Narrow with dateFrom/dateTo to reach events further out.
• Search returns a performer's or venue's complete event list when the term matches one. Otherwise it returns at most 25 keyword-matched events.
• Sort: Vivid Seats no longer offers name/price/popularity order for event lists, so every list is soonest first.
• Directories (performers, venues) list Vivid Seats' top 1,000 by rank.

Output

Each run pushes one item per event, performer, or venue to the dataset.

Field	Description
id	Vivid Seats ID
name	Event, performer, or venue name
localDate	Event local date/time (ISO 8601 with time zone)
utcDate	Event UTC date/time (ISO 8601)
venue	Venue object (id, name, address, city, state, countryCode, timezone, capacity…)
performers	Array of performers on the bill
minPrice / maxPrice	Lowest / highest ticket price
avgPrice / medianPrice	Average / median ticket price
listingCount	Number of active ticket listings
ticketCount	Number of tickets available
categoryId	2 Concerts, 3 Sports, 4 Theater
webPath	Vivid Seats page path (prefix https://www.vividseats.com)
queryType	Query type that produced this item

Use cases

• Price monitoring: track min/max ticket prices for events over time
• Concert discovery: browse upcoming events by category and date
• Performer tracking: pull every upcoming tour date for an artist
• Venue calendars: get the full schedule for a venue
• Market analysis: listing count and price spread as demand signals

---

This scraper is not affiliated with Vivid Seats. Please use responsibly and in accordance with Vivid Seats' terms of service.