# Bet365 Odds Feed — Upcoming Soccer Lines

**Use case:** 

Pull Bet365 pre-match soccer lines as rows: league, teams, kick-off, market, 1/X/2 selection and price in American or decimal odds. CSV or JSON.

## Input

```json
{
  "operation": "prematch",
  "sport": "soccer",
  "eventId": "",
  "oddsFormat": "american"
}
```

## Output

```json
{
  "sport": {
    "label": "Sport",
    "format": "string"
  },
  "league": {
    "label": "League",
    "format": "string"
  },
  "homeTeam": {
    "label": "Home",
    "format": "string"
  },
  "awayTeam": {
    "label": "Away",
    "format": "string"
  },
  "marketName": {
    "label": "Market",
    "format": "string"
  },
  "selection": {
    "label": "Selection",
    "format": "string"
  },
  "odds": {
    "label": "Odds",
    "format": "string"
  },
  "isInPlay": {
    "label": "In-Play",
    "format": "boolean"
  },
  "capturedAt": {
    "label": "Timestamp",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Bet365 Live Odds & In-Play Data Scraper](https://apify.com/sian.agency/bet365-live-odds-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/sian.agency/bet365-live-odds-scraper.md) to learn more, explore other use cases, and run it yourself.


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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/sian.agency/bet365-live-odds-scraper.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).