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Ticketmaster Discovery Scraper

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Ticketmaster Discovery Scraper

Ticketmaster Discovery Scraper

Project Cheerio Crawler Typescript is a web scraping tool that uses the Cheerio library to extract structured data efficiently. It offers customizable search queries, date filtering, proxy support, and scalable scraping, delivering results in JSON format for easy integration and analysis.

Pricing

from $9.00 / 1,000 results

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GetDataForMe

GetDataForMe

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3 days ago

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Project Cheerio Crawler Typescript

Project Cheerio Crawler Typescript is a powerful web scraping tool designed to efficiently extract data from web pages using the Cheerio library. This actor is ideal for users who need to gather structured data from websites for various analytical purposes. With its robust configuration options, it provides a reliable solution for data extraction tasks.

Features

  • Efficient Data Extraction: Leverages Cheerio for fast and reliable web scraping.
  • Customizable Search Queries: Tailor your data collection with specific search keywords.
  • Date Filtering: Filter results by start and end dates to focus on relevant data.
  • Proxy Support: Utilize Apify's residential proxies to avoid IP bans and ensure anonymity.
  • Scalable Scraping: Capable of handling large volumes of data with ease.
  • Structured Output: Provides data in a clean JSON format for easy integration.
  • User-Friendly Interface: Simple setup and configuration through the Apify platform.

Input Parameters

ParameterTypeRequiredDescriptionExample
searchQueryStringYesEnter the search keywords for the data you wish to scrape."wwe"
maxItemsIntegerNoMaximum number of items to scrape.100
startDateStringNoFilter events starting from this date (YYYY-MM-DD)."2023-01-01"
endDateStringNoFilter events ending at this date (YYYY-MM-DD)."2023-12-31"
proxyConfigurationObjectNoSpecifies proxy servers for scraping to hide origin.See below

Example Proxy Configuration

{
"useApifyProxy": true,
"apifyProxyGroups": ["RESIDENTIAL"]
}

Example Usage

Input

{
"searchQuery": "wwe",
"maxItems": 50,
"startDate": "2023-01-01",
"endDate": "2023-12-31",
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": ["RESIDENTIAL"]
}
}

Output

[
{
"title": "WrestleMania 2-Day Combo April 18-19, 2026 - Ticket + Hotel Deals",
"id": "1700646ACB7ABE83",
"discoveryId": "1AvjZ_kGkl5rlBd",
"startDate": "2026-04-19T21:30:00Z",
"onsaleDate": "2025-11-28T14:00:00Z",
"url": "https://travel.ticketmaster.com/en-US/package-forward/25722313?_uid=e014304e-0962-4dd5-be90-6ed724c31992&utm_source=ticketmaster&utm_medium=referral&utm_campaign=wrestlemania-ticketmaster-adp-shell-sunday",
"venue": {
"name": "Allegiant Stadium",
"city": "Las Vegas",
"state": "NV",
"country": "US",
"address": "3333 Al Davis Way",
"latitude": 36.0909,
"longitude": -115.1833
},
"timeZone": "America/Los_Angeles",
"artists": [
{
"name": "WWE WrestleMania",
"url": "https://www.ticketmaster.com/wwe-wrestlemania-tickets/artist/853853"
},
{
"name": "WWE",
"url": "https://www.ticketmaster.com/wwe-tickets/artist/807358"
}
]
}
]

Use Cases

  • Market Research and Analysis: Gather data on events, products, or services for market insights.
  • Competitive Intelligence: Monitor competitor activities and offerings.
  • Price Monitoring: Track pricing changes over time for strategic decisions.
  • Content Aggregation: Collect and organize content from various sources.
  • Academic Research: Extract data for research projects and studies.
  • Business Automation: Automate data collection processes for efficiency.

Installation and Usage

  1. Search for "Project Cheerio Crawler Typescript" in the Apify Store.
  2. Click "Try for free" or "Run".
  3. Configure input parameters.
  4. Click "Start" to begin extraction.
  5. Monitor progress in the log.
  6. Export results in your preferred format (JSON, CSV, Excel).

Output Format

The output is a JSON array where each object contains detailed information about an event, including:

  • title: Event title
  • id: Unique identifier
  • startDate: Event start date
  • onsaleDate: Ticket on-sale date
  • url: Link to the event page
  • venue: Venue details (name, city, state, country, address, coordinates)
  • timeZone: Time zone of the event
  • artists: List of artists with names and URLs

Support

For custom/simplified outputs or bug reports, please contact:

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