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Vivid Seats Tickets Scraper: Extract Event Listing Data at Scale

What Is Vivid Seats?

Vivid Seats is a leading secondary ticket marketplace where fans buy and sell tickets for concerts, sports events, theater shows, and live entertainment worldwide. The platform hosts millions of active listings with dynamic pricing, multiple delivery methods, and seller ratings. Extracting structured data from individual ticket listings manually is tedious and error-prone — the Vivid Seats Tickets Scraper automates this process, delivering complete listing intelligence instantly.

Overview

The Vivid Seats Tickets Scraper extracts detailed ticket listing information from event pages on Vivid Seats, converting semi-structured web data into clean, queryable records. It captures pricing, seat location, fulfillment options, seller metrics, and quality indicators for every available listing.

Ideal for:

• Price aggregators building competitive ticket price databases
• Market researchers analyzing secondary ticket pricing trends
• Resellers monitoring inventory and pricing strategies
• Event analysts tracking ticket availability and demand patterns
• Data scientists studying ticket market dynamics

Key features include configurable item limits per URL, graceful error handling, and comprehensive field coverage spanning seat details, pricing, delivery methods, and seller trust metrics.

Input Format

The scraper accepts a JSON configuration object defining which listings to collect:

{
"urls":[
"https://www.vividseats.com/world-cup-soccer-tickets-metlife-stadium-6-13-2026--sports-soccer/production/5080443?quantity=2"
],
"ignore_url_failures":true,
"max_items_per_url":200
}

Tip: Use specific event URLs, not search results pages, for best results. Each URL should display available ticket listings.

Output Format

Sample output

{
"section":"303",
"row":"22",
"quantity":"2",
"price_per_ticket":"1183.00",
"deal_score":"5.5",
"listing_id":"VB15853444331",
"internal_code":"408120",
"delivery_method":"Ticketmaster Transfer",
"note":"Please note that you will need to use an iOS or Android mobile device to gain entry to your event.",
"fulfillment_type":"0",
"status":"1",
"is_guaranteed":"0",
"is_transferred":"0",
"mobile_required":"2",
"is_individual_seats":"0",
"is_instant_electronic_transfer":"0",
"is_instant_flash_seats":"0",
"is_sold":"0",
"low_seat":"19",
"high_seat":"20",
"has_discount":false,
"fulfillment_discount_info":"",
"price_discount_info":"",
"badges":[
{
"category":"PRICE",
"title":"Lowest Price in Section"
}
],
"perks":[
"Seated Together"
],
"local_prices":null,
"from_url":"https://www.vividseats.com/world-cup-soccer-tickets-metlife-stadium-6-13-2026--sports-soccer/production/5080443?quantity=2"
}

Each scraped ticket listing returns 25+ fields providing complete seat and pricing information:

Seat Location & Identification

Pricing & Deal Metrics

Fulfillment & Delivery

Listing Status & Availability

Seller Trust & Attributes

How to Use

1. Locate event pages — Navigate to Vivid Seats, search for your event (e.g., "World Cup 2026"), and open the event page showing available listings.
2. Copy the URL — Copy the full event URL from your browser. It typically contains the event name and a production ID.
3. Configure settings — Paste the URL(s) into the urls array. Set max_items_per_url to match your data needs (e.g., 200 for comprehensive market data).
4. Enable error handling — Set ignore_url_failures: true for bulk runs to handle network issues gracefully.
5. Run the scraper — Start the actor and monitor progress via the live log.
6. Export & analyze — Download results as JSON, CSV, or Excel for analysis in spreadsheets or databases.

Best practices:

• Use event URLs (not search results) for consistent, complete data.
• Set reasonable max_items_per_url limits to balance coverage vs. runtime.
• Run multiple URLs in a single execution to batch-process multiple events.
• Check output sample before scaling to verify URL compatibility.

Use Cases & Business Value

• Price monitoring dashboards — Track Vivid Seats pricing trends for specific events over time
• Competitive intelligence — Compare your ticket inventory against competitor offerings
• Market research reports — Analyze deal scores, delivery methods, and seller strategies across thousands of listings
• Algorithmic reselling — Automate data collection for dynamic repricing strategies
• Event demand analysis — Identify sold-out sections and peak pricing periods

The scraper transforms Vivid Seats' web interface into actionable data, enabling data-driven decisions in the secondary ticket market.

Conclusion

The Vivid Seats Tickets Scraper extracts complete listing intelligence from Vivid Seats, covering seat locations, pricing, delivery methods, and seller metrics across 25+ fields. Whether you're a price analyst, market researcher, or data-driven reseller, this scraper saves hours of manual work and delivers the structured data you need. Start scraping event listings today and unlock market insights instantly.