# Cricbuzz live score scraper example

**Use case:** 

Extract current Cricbuzz cricket matches, innings scores, teams, venues, status, and links into a structured dataset.

## Input

```json
{
  "maxItems": 20,
  "matchFormats": [],
  "matchStates": [],
  "teams": [],
  "seriesQuery": ""
}
```

## Output

```json
{
  "matchId": {
    "label": "Match ID",
    "format": "number"
  },
  "seriesName": {
    "label": "Series"
  },
  "description": {
    "label": "Match"
  },
  "format": {
    "label": "Format"
  },
  "state": {
    "label": "State"
  },
  "status": {
    "label": "Status"
  },
  "startTime": {
    "label": "Starts",
    "format": "date"
  },
  "team1": {
    "label": "Team 1"
  },
  "team2": {
    "label": "Team 2"
  },
  "winner": {
    "label": "Winner"
  },
  "venue": {
    "label": "Venue"
  },
  "liveScoreUrl": {
    "label": "Live score",
    "format": "link"
  },
  "scorecardUrl": {
    "label": "Scorecard",
    "format": "link"
  },
  "commentaryUrl": {
    "label": "Commentary",
    "format": "link"
  },
  "scrapedAt": {
    "label": "Scraped at",
    "format": "date"
  }
}
```

## About this Actor

This example demonstrates how to use [Cricbuzz Live Match Scores Scraper](https://apify.com/automation-lab/cricbuzz-live-match-scores-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/automation-lab/cricbuzz-live-match-scores-scraper) to learn more, explore other use cases, and run it yourself.