# StubHub NBA Tickets Scraper

**Use case:** 

Scrape StubHub NBA event listings with event name, date, time, venue, city, and lowest ticket price. Export results to JSON or CSV.

## Input

```json
{
  "startUrls": [
    "https://www.stubhub.com/latin-fest-tickets/grouping/137978298"
  ],
  "query": "lakers",
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  },
  "maxConcurrency": 5
}
```

## Output

```json
{
  "imageUrl": {
    "label": "Image Url",
    "format": "link"
  },
  "eventId": {
    "label": "Event Id",
    "format": "text"
  },
  "eventName": {
    "label": "Event Name",
    "format": "text"
  },
  "eventUrl": {
    "label": "Event Url",
    "format": "link"
  },
  "performerName": {
    "label": "Performer Name",
    "format": "text"
  },
  "eventDate": {
    "label": "Event Date",
    "format": "date"
  },
  "eventTime": {
    "label": "Event Time",
    "format": "text"
  },
  "venueName": {
    "label": "Venue Name",
    "format": "text"
  },
  "venueCity": {
    "label": "Venue City",
    "format": "text"
  },
  "venueState": {
    "label": "Venue State",
    "format": "date"
  },
  "venueCountry": {
    "label": "Venue Country",
    "format": "number"
  },
  "lowestPrice": {
    "label": "Lowest Price",
    "format": "number"
  },
  "currency": {
    "label": "Currency",
    "format": "text"
  },
  "ticketCount": {
    "label": "Ticket Count",
    "format": "number"
  },
  "groupingId": {
    "label": "Grouping Id",
    "format": "text"
  },
  "categoryId": {
    "label": "Category Id",
    "format": "date"
  },
  "scrapedAt": {
    "label": "Scraped At",
    "format": "date"
  },
  "error": {
    "label": "Error",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [StubHub Event Scraper: Tickets & Venues Data](https://apify.com/parseforge/stubhub-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/parseforge/stubhub-scraper) to learn more, explore other use cases, and run it yourself.