Vivid Seats Scraper for Resale Listings, Seat Maps and Ticket Price Data

What Sits Inside a Vivid Seats Event, Ticket Listing, Seat Map and Venue Record

The names below are the platform's own, read off a live event page, its map payload and the seller schema behind both - Vivid Seats data comes from that pair, not from a feed.

• Production core. id, name, localDate carrying the IANA zone in brackets, utcDate, categoryId and subCategoryId, ifNecessary for a playoff game that may never be played, productionDelayType such as NONE or RESCHEDULED, onsaleDate and presale1Date, primaryIntegrated, a parkingPid for the same night's parking, plus webPath and the legacy organicUrl.
• The price block on every event. minPrice, maxPrice, avgPrice and medianPrice, then minAipPrice and maxAipPrice for the same seats with fees folded in, a showAip switch, listingCount, ticketCount, and lastPricingRefresh - a timestamp, not a date, because a busy Vivid Seats price surface turns over several times a day.
• A listing row. section and friendlySection, row and friendlyRow, lowSeat and highSeat, quantity and shownQuantity, splitType of DEFAULT, ANY, CUSTOM or NEVERLEAVEONE, listPrice with its currency code, seatType of CONSECUTIVE, ALTERNATING, GA or PIGGYBACK, stockType from HARD through PAPERLESS to MOBILE_TRANSFER, inHandDate, zoneSeating, instantTransfer, electronicTransfer, disclosures, and a status of AVAILABLE, ON_HOLD or DEPLETED.
• What the shopper sees on that row. Section, Row, a quantity band written as 1-4 tickets, a Deal Score with its word grade, a Fees Incl. figure against an Original Price toggle, badges such as Lowest Price in Section, Super Seller and Seat Saver, seat features from Aisle Seats to Field Pass Included and Restricted/Obstructed View, and a disclosure line saying whether the seller is a trader.
• Venue and performer. venue id, name, street address, city, state, coordinates, timezone, capacity, regionId and parkingVenueId; performer id, name, nickname, urlName, master flag, category with subCategories and two revenue ranks.
• Map and demand. a static image, an SVG file and a JSON companion keyed per configuration, so one stadium reads Lower Level - Sideline and Gridiron Level - Prime for football but 100 Level, Floor, General Admission and ADA for a concert. Two demand counters ride along: fans shopping now and fans who bought recently.

All-In Prices, Deal Score, Split Rules and the Reward Credit That Never Reaches the Listing

Two prices sit on every row. The marketplace runs All-In Pricing, so the number on the card already holds the service and delivery fee, with taxes landing at checkout; one toggle flips the same listing back to Original Price. Outside the United States a currency block rides with the payload - source code, target code and rate - and converted figures are marked informational while the deal table under the map stays in dollars. Any Vivid Seats price feed that mixes those readings compares different numbers.

Deal Score is a rating, not a discount. It runs 1 to 10 with word grades - Fantastic, Excellent, Very Good, Great, Good - built from seat location, view and obstruction, the venue, and demand. The five best value rows sit in a plain table under the map with section, row, price and score.

Split rules decide which quantities exist. A seller picks DEFAULT, ANY, CUSTOM or NEVERLEAVEONE, so four seats may sell as four only, as any count, as a named set, or as anything that leaves no single seat behind. Set a quantity filter and both the count and the lowest price move.

The loyalty program moves the wallet, not the listing. Vivid Seats Rewards is app-only: buy ten tickets, earn a Reward Credit worth the average of those ten before taxes, fees and processing, then spend it on the eleventh. A Lowest Price Guarantee pays 115% of a difference found on a named rival marketplace as site credit, capped per claim. Neither changes the number on the page, so a scraped figure is the shelf price and loyalty has to be modelled beside it.