⚽ World Cup Ticket Scraper

Live resale ticket data for the 2026 FIFA World Cup — every match, every section, real-time prices — in one clean, structured feed.

Track the entire tournament's secondary market without visiting a single ticket site. This actor scans the resale market for you and returns one consistent, deduplicated dataset: which matches have tickets, the cheapest seat per match, full section/row/price breakdowns, and the best-value listings. Filter by team, host country, date, price, section and more.

Perfect for price tracking, deal alerts, market analysis, resale arbitrage, travel planning, and dashboards.

How it works

Give it your filters and a mode, and it does the rest — discovering every World Cup match, pulling the live inventory, normalizing it into one schema, and removing duplicates. No tokens, no API keys, no setup. Residential proxies (on by default) keep coverage wide and runs reliable.

Two modes

Mode	Returns
🎟️ Listings (deep scan)	One row per individual ticket listing — section, row, quantity, all-in price, price before fees, value score, delivery type, and the match.
📅 Matches	One summary row per match — venue, city, host country, date, and the lowest available price.

Filters

Filter	What it does
Teams / Match	Only matches involving the teams you list (e.g. Brazil, USA)
Host country / city	Only matches in chosen host countries or cities
Date from / to	Restrict to a date window (YYYY-MM-DD)
Min / Max price	Price band on the all-in ticket price
Section	Match a section or seating level (e.g. Lower, VIP, 114)
Min ticket quantity	Only listings that can seat your group together
Delivery type	e.g. mobile delivery only
Best-deal filter	Surface only the strongest-value listings

Output fields

Field	Description
item_type	listing or event
match	Match name (teams + stage)
event_date	Local kickoff date/time
venue / venue_city / venue_country	Where it's played
section / section_group / row	Seat location
quantity	Tickets available together in this listing
price	All-in price (fees included)
price_before_fees	Base price before fees, when available
currency	Price currency
deal_score	Relative value score (lower = better deal)
deal_tags	Deal labels (e.g. cheapest, flash)
delivery_type / ticket_type	How the ticket is delivered
scraped_at	When the row was captured (ISO 8601)

Example output row

{
  "item_type": "listing",
  "match": "Mexico vs South Africa — World Cup, Group A (Match 1)",
  "event_date": "2026-06-11T13:00:00",
  "venue": "Estadio Azteca",
  "venue_city": "Mexico City",
  "venue_country": "MX",
  "section": "114",
  "section_group": "Lower",
  "row": "12",
  "quantity": 2,
  "price": 2235.0,
  "price_before_fees": 1942.0,
  "currency": "USD",
  "deal_score": 0.88,
  "deal_tags": ["cheapest"],
  "delivery_type": "mobile",
  "scraped_at": "2026-06-04T12:00:00+00:00"
}

Example input

{
  "mode": "listings",
  "teams": ["Mexico", "USA"],
  "countries": ["Mexico", "USA", "Canada"],
  "dateFrom": "2026-06-11",
  "dateTo": "2026-07-19",
  "minPrice": 200,
  "maxPrice": 5000,
  "maxMatches": 25,
  "maxListingsPerMatch": 100
}

Tips

• Keep residential proxies on (the default) — they unlock the widest inventory coverage and keep runs reliable.
• Start with a low Max matches and Max listings per match for fast, cheap test runs, then scale up.
• Prices move constantly during the tournament — schedule the actor to re-run and track changes over time.
• Leave all filters empty to pull the entire tournament.