Eventbrite Event Tickets Scraper — Listings & Prices

Event tickets scraper for Eventbrite. Supply search URLs by city, category, or keyword; it returns event title and description, start and end dates, venue name and address, city and country, organizer, category, minimum and maximum ticket price with currency, and whether the event is online or in person.

Ticket pricing is the price range Eventbrite publishes per event — minimum and maximum with a currency code — not per-seat or per-tier inventory.

No Eventbrite API key, app registration, or OAuth flow is needed — this reads the public site.

It does not return attendee, registration, or ticket-buyer data. Eventbrite does not publish that, and no scraper can produce it.

What you get

Each scraped event includes:

• Event details — title, description, event ID, and full URL
• Dates — ISO 8601 start and end datetimes with timezone
• Location — venue name, street address, city, state/region, and country
• Organizer — name and profile URL
• Pricing — minimum and maximum ticket prices with currency code
• Classification — event category (e.g. music, food-and-drink, science-and-tech), paid/free status, and online/offline attendance mode
• Status — whether the event is scheduled, cancelled, or postponed
• Image — banner image URL

Input

Field	Type	Description
startUrls	array	Eventbrite search or listing URLs to scrape. Defaults to San Francisco if empty.
maxItems	integer	Maximum number of events to return. Default: 20.
maxPages	integer	Maximum search result pages to paginate per URL. Default: 5.

Example URLs

• City search: https://www.eventbrite.com/d/ca--san-francisco/events/
• Category search: https://www.eventbrite.com/d/ca--san-francisco/music--events/
• Keyword search: https://www.eventbrite.com/d/ny--new-york/yoga--events/
• Online events: https://www.eventbrite.com/d/online/events/

Output schema

{
  "event_id": "1986516037945",
  "url": "https://www.eventbrite.com/e/red-bull-basement-world-final-2026-tickets-1986516037945",
  "title": "Red Bull Basement World Final 2026",
  "description": "First-time founders from around the world will pitch their ideas on a global stage.",
  "start_date": "2026-06-03T18:00:00-07:00",
  "end_date": "2026-06-03T22:00:00-07:00",
  "venue_name": "Pier 48",
  "venue_address": "Pier 48, San Francisco, CA 94158",
  "city": "San Francisco",
  "region": "CA",
  "country": "US",
  "organizer_name": "Red Bull North America Inc.",
  "organizer_url": "https://www.eventbrite.com/o/red-bull-north-america-inc-29237734451",
  "category": "science-and-tech",
  "paid_status": "paid",
  "price_min": "0.0",
  "price_max": "0.0",
  "price_currency": "USD",
  "attendance_mode": "offline",
  "event_status": "EventScheduled",
  "image_url": "https://img.evbuc.com/...",
  "scraped_at": "2026-05-30T17:12:34.201Z"
}

Use cases

• Local events scraper — point it at a city search and get that city's events. On a two-city sample run, San Francisco and New York records each resolved to the right city and state.
• Conference scraper — Eventbrite's conference and business shelves return summits, expos, seminars and networking events; 7 of 12 records on that run were conference-shaped.
• Event venue data — venue name and full street address came back on every record of that sample.
• Event data scraper — dates, organizer, category, price range and attendance mode, one structured row per event.
• Market research — track event trends by city, category, or organizer
• Lead generation — find businesses and organizers hosting events in your niche
• Competitive analysis — monitor events from specific organizers
• Event discovery — build curated event feeds for newsletters or apps
• Price benchmarking — compare ticket pricing across event categories

Notes

• Eventbrite listing pages return complete records in one pass
• Pricing data (price_min / price_max) is extracted from the event's structured data; some events display "Check ticket price on event" instead of a numeric price
• Online-only events will have venue_name: null and attendance_mode: "online"
• scraped_at reflects the UTC time of the scrape run