VividSeats.com Scraper

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👁 VividSeats Scraper

What does VividSeats Scraper do?

VividSeats Scraper extracts event and ticket listing data from vividseats.com. It collects event-level metadata (production title, date, venue), listing counts, and per-listing snapshots (section, row, price, quantity) where available. The actor is designed to run from search pages or direct event detail pages and outputs structured event objects suitable for aggregation and analysis.

What data can I extract from VividSeats.com with this scraper?

With this actor you can extract:

• Event name and production title
• Event date and time (when available)
• Venue name, address, state, and country
• Listing counts and summarized ticket availability
• Individual ticket snapshots: section, row, quantity, price, notes, badges, perks, and checkout URL
• Ticket identifiers useful for linking or checkout

How to use VividSeats Scraper?

This actor is ready to run on the Apify platform or locally. Provide start URLs (search pages or event detail pages) and optional maxItems to limit results.

Steps:

1. Provide start URLs (search or detail pages) in the input or use the startUrls field in the console.
2. Set maxItems to limit how many events to collect per run.
3. Run the actor and download the dataset when complete.

Input

The actor accepts the following input parameters:

• startUrls (array of objects) - Required. URLs to start with. Can be search result URLs or individual event detail pages.
• maxItems (integer) - The maximum number of events/items to scrape. Example: 5
• proxyConfiguration (object) - Proxy configuration settings.

Supported URL Types (examples)

You may provide either search page URLs or direct event detail pages:

Search URL example:

https://www.vividseats.com/search?searchTerm=imagine

Detail URL example:

https://www.vividseats.com/candlelight---coldplay-and-imagine-dragons-tickets-washington-st-francis-hall-3-12-2026--concerts-classical/production/6748600

Example input:

{
"startUrls":[
{"url":"https://www.vividseats.com/search?searchTerm=imagine"},
{
"url":"https://www.vividseats.com/candlelight---coldplay-and-imagine-dragons-tickets-washington-st-francis-hall-3-12-2026--concerts-classical/production/6748600"
}
],
"maxItems":5,
"proxyConfiguration":{"useApifyProxy":false}
}

Note: The startUrls field is required

Output

The scraped data is saved to the default dataset. Each item represents an event with the following top-level fields (example in the dataset): url, productionName, ticketCount, venueDetails, tickets (array). Each ticket includes a checkoutUrl when available.

Notes and Limitations

• The actor relies on the current VividSeats API/HTML structure; if the website changes, updates may be required.
• Respect site Terms of Service and robots.txt; use rate-limiting and proper concurrency settings.
• For large-scale scraping, use Apify's proxy services to reduce blocking risk.

Vivid Seats organizes inventory by event type and location. Event pages typically expose listing counts, price ranges, and seat map contexts. A scraper can gather event catalogs by city/date and capture listing-level snapshots (section/row/price) where accessible.

🔍 Looking to Scrape more Events Websites?

In addition to this actor, you can explore our suite of dedicated scrapers tailored for other popular events websites. Each scraper is optimized for its target site to ensure accurate, efficient, and high-performance data extraction.

Explore these solutions to expand your data collection capabilities across events data extraction websites.

👀 p.s.

Got feedback or need an extension?

Lexis Solutions is a certified Apify Partner. We can help you with custom solutions or data extraction projects.

Contact us over Email or LinkedIn

Image Credit: https://vividseats.com/