Viagogo Tickets Scraper: Extract Listings & Pricing Data in Seconds

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What Is Viagogo?

Viagogo is one of the world's largest ticket resale marketplaces, connecting millions of buyers and sellers of tickets for sports, music, and entertainment events. Thousands of listings update daily with varying prices, seat locations, and seller terms. Manually collecting this data across multiple events and sellers is tedious and error-prone — the Viagogo Tickets Scraper automates extraction, delivering clean, structured ticket data ready for analysis.

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Overview

The Viagogo Tickets Listings Scraper extracts comprehensive ticket listing data from Viagogo event pages, capturing detailed information about available tickets, pricing tiers, seat locations, seller metrics, and deal indicators. It is ideal for:

• Ticket resellers monitoring market prices and inventory trends
• Event promoters tracking secondary market demand and competition
• Data analysts building datasets for pricing research
• Aggregator platforms integrating Viagogo data into comparison tools
• Researchers studying ticket market dynamics

The scraper handles multiple listings per event, respects site policies with intelligent retry logic, and gracefully manages failures without interrupting bulk runs.

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Input Format

The scraper accepts a JSON configuration with three core parameters:

{
  "urls": [
    "https://www.viagogo.com/Sports-Tickets/WWE/WWE-Raw-Tickets/E-160524024?quantity=2"
  ],
  "ignore_url_failures": true,
  "max_items_per_url": 200
}

Parameter	Type	Description
urls	Array	Direct links to Viagogo event listing pages. Paste the full URL including event ID and any query parameters (e.g., ?quantity=2).
ignore_url_failures	Boolean	If true, the scraper continues processing remaining URLs if some fail to load. Useful for bulk runs. Set to false to halt on first error.
max_items_per_url	Integer	Maximum ticket listings to extract per URL (e.g., 200 captures up to 200 different seller offers for the same event). Higher values take longer.

Tip: Use the full event URL from your browser address bar. Event IDs (like E-160524024) are required for accurate data retrieval.

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Output Format

Sample output

{
  "id": 12942233114,
  "event_id": 160524024,
  "section": "Upper Tier B",
  "section_id": 1179967,
  "section_map_name": "Upper Tier B",
  "section_type": 2,
  "row": "Ok",
  "seat": "_",
  "seat_from_internal": "",
  "has_seat_details": false,
  "has_seat_details_us": null,
  "available_tickets": 4,
  "formatted_fees": "",
  "grid_listing_price_and_fee_disclosure": {
    "has_value": false
  },
  "is_all_in_grid_listing_price_and_fee_disclosure": null,
  "inventory_listing_score": {
    "star_rating": 3,
    "deal_score": "6.594746516852883",
    "seat_quality_score": "0.7206024635"
  },
  "show_recently_sold": null,
  "show_partnership_logo": null,
  "show_clear_view": null,
  "available_quantities": [
    1,
    2,
    3,
    4
  ],
  "ticket_class": 267,
  "ticket_class_name": "Upper Tier",
  "max_quantity": 4,
  "has_listing_notes": null,
  "listing_notes": [
    {
      "listing_note_id": -1,
      "listing_note_content_id": 3338094,
      "formatted_listing_note_content": "Clear view",
      "listing_note_type_id": 3,
      "show_to_buyer": true,
      "hide_in_mock": false,
      "site_added_listing_note": false,
      "aisle_listing_note_with_split": false,
      "listing_note_description_content_id": 3338095,
      "formatted_listing_note_description": "You'll have an unrestricted view of the show."
    }
  ],
  "listing_note_buckets": [
    {
      "listing_note_bucket_id": 26,
      "formatted_listing_note_content": "Clear view",
      "display_order": 8,
      "shows_raw_note_text": true,
      "source_listing_note_id": -1
    }
  ],
  "row_id": null,
  "is_users_listing": null,
  "is_pre_uploaded": null,
  "row_content": null,
  "is_speculative_row": null,
  "raw_price": 68.9,
  "price": "$69",
  "formatted_total_price": "$138",
  "strike_through_price": null,
  "strike_through_discount_percent": null,
  "strike_through_amount_off": null,
  "strike_through_price_default_currency": null,
  "ticket_type_id": null,
  "ticket_type_name": "Mobile Transfer ticket",
  "ticket_type_group_id": null,
  "listing_type_id": null,
  "listing_currency_code": null,
  "buyer_currency_code": null,
  "face_value": 62.0,
  "face_value_currency_code": null,
  "vfs_url": "https://img.vggcdn.net/img/vfsimage2/787893/267_1179967/0.jpg?im=Resize=(500,271)&v=100",
  "formatted_active_since": null,
  "formatted_deal_score": null,
  "is_seated_together": null,
  "show_vfs_in_listing": null,
  "hide_seat_and_row_info": null,
  "is_unmapped_section": null,
  "aip_hash": null,
  "is_mlb_verified": null,
  "created_date_time": "2026-06-05T12:45:57.4600000Z",
  "show_cheapest_tag": null,
  "show_best_deal_tag": null,
  "show_best_deal_in_section_tag": null,
  "show_best_view_tag": null,
  "show_top_choice_tag": null,
  "top_choice_bucket": null,
  "is_most_affordable": null,
  "listing_ranking_score": null,
  "is_zone_ticket_class": null,
  "is_sponsored": null,
  "is_sponsored_secondary": null,
  "is_mirror_listing": null,
  "cross_sell_source": null,
  "is_cheapest_listing": null,
  "is_favorite": null,
  "aggregate_favorites": null,
  "listing_id": 12942233114,
  "can_be_relisted": null,
  "listing_impression_id": "EB240992-4063-4504-BFBB-16ED3B8F8611",
  "is_better_value_listing": null,
  "has_row_level_vfs": null,
  "is_deal_score_eligible_for_display": null,
  "listing_highlight_data": {
    "highlight_site_messages_with_type": [
      {
        "message": "Popular Pick",
        "qualifier": "10 people viewed this event in the past hour",
        "has_value": true,
        "message_type": "NumberOfViewsSocialProofBased"
      }
    ],
    "listing_note_ids_replaced_by_highlight": []
  },
  "from_url": "https://www.viagogo.com/Sports-Tickets/WWE/WWE-Raw-Tickets/E-160524024?quantity=2"
}

Each ticket listing returns a rich record with 87+ fields across multiple categories:

Ticket & Seat Information

Field	Meaning
ID	Unique internal listing identifier in Viagogo's system
Event ID	The event this ticket is for (e.g., WWE Raw show)
Section	Named seating section (e.g., "Section 104", "Lower Bowl")
Section ID	Internal ID for the section in the venue map
Section Map Name	Display name for the section on the venue map
Section Type	Category of the section (e.g., "Lower", "Upper", "Club")
Row	Row designation within the section (e.g., "A", "B", "15")
Seat	Individual seat number (e.g., "105", "2-4")
Seat From Internal	Internal seat designation for verification
Has Seat Details	Boolean: whether the listing includes detailed seat mapping
Has Seat Details US	Boolean: US-specific seat detail availability
Is Seated Together	Boolean: confirms if multiple tickets are consecutive seats
Hide Seat And Row Info	Boolean: seller chose to hide exact seat information
Is Unmapped Section	Boolean: section exists but lacks a venue map

Inventory & Availability

Field	Meaning
Available Tickets	Number of tickets currently available in this listing
Available Quantities	Array of available quantity options (e.g., [1, 2, 4])
Ticket Class	Internal ticket classification code
Ticket Class Name	Human-readable ticket tier (e.g., "Premium", "Standard")
Max Quantity	Maximum tickets a single buyer can purchase from this listing
Is Zone Ticket Class	Boolean: listing is a zone ticket (not specific seats)
Ticket Type ID	Classification of ticket type in the system
Ticket Type Name	Name of ticket type (e.g., "General Admission")
Ticket Type Group ID	Grouping ID for similar ticket types

Pricing Data

Field	Meaning
Price	Base ticket price (per ticket, before fees)
Formatted Total Price	Total cost formatted for display (includes all fees)
Formatted Fees	Processing and service fees broken down and formatted
Strike Through Price	Original higher price used for "discount" displays
Strike Through Discount Percent	Discount percentage vs. struck price
Strike Through Amount Off	Dollar/currency amount of discount
Strike Through Price Default Currency	Currency for the struck price
Raw Price	Raw numeric price value before formatting
Face Value	Original face value printed on the ticket
Face Value Currency Code	Currency of face value (e.g., "USD", "GBP")
Listing Currency Code	Currency the seller lists the ticket in
Buyer Currency Code	Currency shown to the buyer (may differ if international)

Seller & Listing Metadata

Field	Meaning
Listing ID	Unique identifier for this specific listing
Listing Type ID	Category of listing (e.g., resale, official)
Is Users Listing	Boolean: seller is an individual (not a broker)
Is Pre Uploaded	Boolean: seller pre-loaded inventory before sales began
Is Mirror Listing	Boolean: duplicate listing mirrored from another source
Cross Sell Source	Where the listing originated (e.g., internal, affiliate)
Created Date Time	When this listing was posted
Formatted Active Since	How long the listing has been active (formatted string)
Formatted Listing Notes	Seller notes about the tickets (e.g., "Transfer fee applies")
Listing Notes	Raw text of seller notes
Listing Note Buckets	Categorized seller note types
Has Listing Notes	Boolean: seller provided notes or restrictions

Scoring & Deal Indicators

Field	Meaning
Inventory Listing Score	Internal score measuring listing quality (0-100)
Listing Ranking Score	Position score affecting search result ranking
Deal Score	Formatted display of the deal value (e.g., "Great Deal")
Formatted Deal Score	Human-readable version of the deal score
Is Deal Score Eligible For Display	Boolean: deal score meets display criteria
Show Cheapest Tag	Boolean: display "Cheapest" badge if applicable
Is Cheapest Listing	Boolean: this is the lowest-priced listing for the event
Show Best Deal Tag	Boolean: display "Best Deal" badge
Is Better Value Listing	Boolean: offers good value relative to price and quality
Show Best Deal In Section Tag	Boolean: best deal within the specific section
Show Best View Tag	Boolean: highlighting for excellent seat view
Show Most Affordable Tag	Boolean: good for budget-conscious buyers
Is Most Affordable	Boolean: among the cheapest available
Show Top Choice Tag	Boolean: popular with buyers in this section
Top Choice Bucket	Ranking tier for "Top Choice" designation

Verification & Trust Signals

Field	Meaning
Is MLB Verified	Boolean: MLB (Major League Baseball) verified listing
VFS URL	Viagogo Fraud Score URL for transparency
Show VFS In Listing	Boolean: display fraud score to buyers
Has Row Level VFS	Boolean: fraud score available at row level
AIP Hash	Anti-fraud verification hash

Listing Display & Engagement

Field	Meaning
Is Favorite	Boolean: current user has favorited this listing
Aggregate Favorites	Total count of users who favorited this listing
Listing Impression ID	Tracking ID for analytics and impressions
Grid Listing Price And Fee Disclosure	Price/fee summary shown in listing grid
Is All In Grid Listing Price And Fee Disclosure	Boolean: all costs visible in grid view
Show Clear View	Boolean: highlight "Clear View" benefits
Show Partnership Logo	Boolean: display partner/vendor logo
Show Recently Sold	Boolean: indicate recent sales to create urgency
Row Content	Formatted display content for the row

Special Listing Types & Status

Field	Meaning
Is Speculative Row	Boolean: estimated/speculative inventory
Is Sponsored	Boolean: listing has paid promotion
Is Sponsored Secondary	Boolean: secondary-tier sponsored listing
Row ID	Database ID for the listing row
Can Be Relisted	Boolean: seller can relist these tickets
Listing Highlight Data	Additional formatting/highlight metadata

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How to Use

1. Find event URLs — Navigate to Viagogo.com, search for an event, and open the listings page. Copy the URL from your browser (e.g., https://www.viagogo.com/Sports-Tickets/WWE/WWE-Raw-Tickets/E-160524024?quantity=2).

2. Configure input — Paste the URL(s) into the urls array. For multiple events, add each URL as a separate line. Set max_items_per_url based on needs (e.g., 200 for comprehensive market data, 50 for quick samples).

3. Handle failures — Set ignore_url_failures: true for bulk scraping to skip unreachable pages without stopping the entire run.

4. Run the scraper — Start the actor and monitor progress in the logs.

5. Export & analyze — Download results as JSON, CSV, or Excel. Use the pricing and scoring fields to identify trends, compare sellers, or feed data into dashboards.

Common tips:

• Full event URLs work best; avoid shortened or bookmark links.
• Pricing updates in real time, so re-run for current market conditions.
• The max_items_per_url limit prevents excessive slowdown; adjust based on event size.
• Filter output by Show Cheapest Tag or Deal Score fields to identify market opportunities.

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Use Cases & Business Value

• Price monitoring: Track Viagogo ticket prices over time for specific events or venues
• Market research: Analyze ticket demand, seller competition, and geographic pricing variations
• Reseller intelligence: Monitor competitor listings and adjust pricing strategies
• Event analytics: Understand secondary market dynamics for new or historical events
• Aggregation: Integrate Viagogo data into ticket comparison platforms or bots
• Fraud detection: Use aggregated listing data to spot unusual patterns or suspicious sellers

The Viagogo Tickets Scraper transforms raw marketplace data into actionable insights, enabling data-driven decisions in the competitive ticket resale ecosystem.

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Conclusion

The Viagogo Tickets Listings Scraper is a powerful tool for anyone needing structured ticket market data. With 87+ fields capturing pricing, seat details, seller metrics, and deal scores, it eliminates hours of manual monitoring and enables sophisticated analysis. Whether you're a reseller optimizing prices, a researcher studying ticket markets, or a developer building aggregation tools, this scraper delivers the data you need at scale.