# Volleyball results with set scores and odds

**Use case:** 

Finished volleyball matches of the last days from every league Flashscore covers, with the set score, the points of each set, the winner and opening and closing winner and total-points odds with the no-vig consensus.

## Input

```json
{
  "mode": "recent",
  "sports": [
    "volleyball"
  ],
  "statuses": [
    "finished"
  ],
  "daysBack": 3,
  "daysAhead": 0,
  "includeWomen": true,
  "includeYouth": true,
  "seasonTypes": [
    "regular",
    "postseason"
  ],
  "incremental": false,
  "leagues": [
    "Handball: Europe: Champions League"
  ],
  "lastSeasons": 1,
  "includeOdds": true,
  "markets": [
    "winner",
    "total"
  ],
  "handicapLines": "main",
  "totalLines": "main",
  "onlyWithOdds": false,
  "oddsFormat": "decimal",
  "includeStats": false,
  "maxMatches": 30,
  "concurrency": 16
}
```

## Output

```json
{
  "sport": {
    "label": "Sport"
  },
  "startTime": {
    "label": "Start (UTC)",
    "format": "date"
  },
  "competitionFull": {
    "label": "Competition"
  },
  "homeTeam": {
    "label": "Home"
  },
  "awayTeam": {
    "label": "Away"
  },
  "status": {
    "label": "Status"
  },
  "score": {
    "label": "Score"
  },
  "winner": {
    "label": "Winner"
  },
  "method": {
    "label": "Finish (MMA/boxing)"
  },
  "consensus": {
    "label": "Consensus"
  }
}
```

## About this Actor

This example demonstrates how to use [Flashscore Scraper: Live Scores, Results & Odds, 24 Sports](https://apify.com/sports-odds-lab/flashscore-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/sports-odds-lab/flashscore-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/sports-odds-lab/flashscore-scraper.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).