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from $2.51 / 1,000 events

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VividSeats Scraper | Tickets, Prices and Events

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Vivid Seats scraper for ticket prices and events: type an artist, team or venue and get 20 events in 20 seconds, 47 fields each. Lowest, average, median and highest prices before and after fees, tickets for sale, venue, local date and every resale ticket listing with its section, row and price.

Pricing

from $2.51 / 1,000 events

Rating

0.0

(0)

Developer

SilentFlow

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

Categories

Other

E-commerce

Developer tools

You can access the VividSeats Scraper | Tickets, Prices and Events programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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          "searches": {
            "title": "🔎 Artists, teams, shows or venues",
            "type": "array",
            "description": "Names to look up on Vivid Seats, one per line: an artist (<code>Bad Bunny</code>), a team (<code>New York Knicks</code>), a show (<code>Hamilton</code>) or a venue (<code>Madison Square Garden</code>). An exact name returns every upcoming event of that artist, team, show or venue; any other word works like the site's search box and returns the events whose name contains it (<code>comedy</code>, <code>tribute</code>). A busy team or tour lists 30 to 150 upcoming events.",
            "items": {
              "type": "string"
            }
          },
          "startUrls": {
            "title": "🔗 Vivid Seats links",
            "type": "array",
            "description": "Pages copied from vividseats.com: a performer (<code>https://www.vividseats.com/hamilton-tickets--theater-musical/performer/40710</code>), a venue (<code>https://www.vividseats.com/madison-square-garden-tickets/venue/973</code>), an event (<code>.../production/7432933</code>), a search (<code>https://www.vividseats.com/search?searchTerm=imagine</code>), a category or league (<code>https://www.vividseats.com/nfl</code>, <code>https://www.vividseats.com/concerts</code>) or a curated list (<code>.../custom/475</code>). Each link returns the events the page lists.",
            "items": {
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              "required": [
                "url"
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              "properties": {
                "url": {
                  "type": "string",
                  "title": "URL of a web page",
                  "format": "uri"
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            }
          },
          "eventIds": {
            "title": "🆔 Event IDs",
            "type": "array",
            "description": "Vivid Seats event IDs, the number at the end of an event page address: <code>7432933</code> for <code>vividseats.com/...-11-2-2026/production/7432933</code>. Each ID returns one row, the full event with its tickets, whatever the filters below. Handy to refresh the prices of events you follow.",
            "items": {
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          },
          "category": {
            "title": "🎭 Category",
            "enum": [
              "all",
              "concerts",
              "sports",
              "theater"
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            "description": "Keep only concerts, sports or theater events (comedy, musicals, family shows are under theater). With no search, link or ID above, the run reads the upcoming events of this category, soonest first.",
            "default": "all"
          },
          "location": {
            "title": "📍 Near city",
            "type": "string",
            "description": "Keep only events within 50 miles of a city, like the site's own location filter: <code>Chicago</code>, <code>Las Vegas, NV</code>, <code>London, United Kingdom</code> or <code>Toronto, Canada</code>. Add the state or country after a comma when several cities share the name. Empty: everywhere."
          },
          "dateFrom": {
            "title": "📅 From",
            "type": "string",
            "description": "First day of events to return, at the venue, such as <code>2026-12-01</code>. Empty: today."
          },
          "dateTo": {
            "title": "📅 To",
            "type": "string",
            "description": "Last day of events to return, included, such as <code>2026-12-31</code>. Empty: no end date."
          },
          "maxItems": {
            "title": "🔢 Max events",
            "minimum": 1,
            "type": "integer",
            "description": "The most events the run returns, all searches, links and IDs together. An event found twice counts once. Long lists such as a whole category are read past their first 1,000 events.",
            "default": 100
          },
          "includeTickets": {
            "title": "🎟️ Ticket listings",
            "type": "boolean",
            "description": "Add every ticket listing of each event, cheapest first: section, row, quantity, price before and after fees, face value when shown, deal score, delivery method, seat numbers, badges and perks, plus the average and median price after fees. Turn it off to read only event-level prices: in our test, 20 events took 1 second instead of 20.",
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Vivid Seats Scraper | Ticket Prices, Listings and Events OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for VividSeats Scraper | Tickets, Prices and Events from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

VividSeats Scraper | Tickets, Prices and Events API in Python

VividSeats Scraper | Tickets, Prices and Events API in JavaScript

VividSeats Scraper | Tickets, Prices and Events API through CLI

VividSeats Scraper | Tickets, Prices and Events API

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