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Music Festival Scraper

Pricing

Pay per usage

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Music Festival Scraper

Music Festival Scraper

Music Festival Scraper. Extract structured data with automatic pagination, proxy rotation, and JSON/CSV export. Pay only for results.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Donny

Donny

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

4 hours ago

Last modified

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What it does

Music Festival Scraper extracts comprehensive information about music festivals from around the world. It collects festival names, locations, dates, music genres, headlining artists, ticket pricing, and links to festival pages. You can filter results by geographic region (US, Europe, UK, Canada, Australia) and by month to find festivals during specific time periods. The actor automatically handles pagination to retrieve extensive lists of upcoming festivals, providing structured data that is ready for analysis, comparison, or integration into event discovery applications.

Why use it

The global music festival landscape spans thousands of events across every continent, making it challenging to track and compare festivals manually. This actor is designed for music fans planning festival trips, event promoters conducting competitive analysis, travel agencies building festival tourism packages, music journalists covering the festival circuit, and data analysts studying entertainment industry trends. By automating the collection of festival data, you can build comprehensive databases, track festival trends over time, and discover events you might otherwise miss.

How it works

  1. The actor constructs a search URL based on the specified region and optional month filter.
  2. Using CheerioCrawler, it navigates to Music Festival Wizard's festival listing pages.
  3. For each festival entry on the page, it extracts the festival name, location, dates, genres, headliners, and ticket pricing information.
  4. If additional pages of results are available, it automatically follows pagination links.
  5. The actor also attempts to extract data from alternative page structures and embedded metadata as a fallback.
  6. All collected festival data is formatted and pushed to the Apify dataset for export.

Input parameters

ParameterTypeDefaultDescription
regionStringusGeographic region to search (us, europe, uk, canada, australia)
monthString(all months)Filter by specific month (january through december)
maxResultsInteger50Maximum number of festivals to scrape (1-200)

Output fields

FieldTypeDescription
festivalNameStringName of the music festival
locationStringCity, state, or country where the festival takes place
datesStringFestival dates
genresStringMusic genres featured at the festival
headlinersStringTop-billed performing artists
ticketPriceStringTicket pricing information
urlStringLink to the festival's detail page

Cost estimate

This actor uses Cheerio-based scraping with low resource consumption. Scraping 50 festivals typically costs about $0.003 in platform credits. The default 1024 MB memory setting handles all standard workloads efficiently.

Tips

  • Use month-based filtering to plan festival trips during specific seasons (e.g., "june" for summer festival season).
  • Run the actor for multiple regions to build a global festival calendar.
  • Schedule weekly runs during peak festival announcement season (January through March) to catch new lineup announcements.
  • Export results to Google Sheets for collaborative trip planning with friends.
  • Combine with the Spotify Podcast Charts actor for comprehensive music and audio entertainment data.
  • Check out the Wedding Venue Scraper for other event venue data.