# Betfair Odds API — Exchange & Sportsbook Prices

**Use case:** 

Export live Betfair prices from both the exchange and the sportsbook, side by side, across sports and markets. CSV or JSON.

## Input

```json
{
  "operation": "odds",
  "sport": "upcoming",
  "regions": [
    "uk"
  ],
  "markets": [
    "h2h",
    "spreads",
    "totals"
  ],
  "oddsFormat": "decimal",
  "bookmakers": [
    "betfair_ex_uk",
    "betfair_sb_uk"
  ],
  "daysFrom": 1
}
```

## Output

```json
{
  "_operation": {
    "label": "🎯 Operation",
    "format": "string"
  },
  "_query": {
    "label": "🔢 Query",
    "format": "string"
  },
  "sportKey": {
    "label": "🏈 Sport Key",
    "format": "string"
  },
  "sportTitle": {
    "label": "🏆 Sport Title",
    "format": "string"
  },
  "eventId": {
    "label": "🆔 Event ID",
    "format": "string"
  },
  "commenceTime": {
    "label": "🕐 Commence Time",
    "format": "string"
  },
  "homeTeam": {
    "label": "🏠 Home Team",
    "format": "string"
  },
  "awayTeam": {
    "label": "✈️ Away Team",
    "format": "string"
  },
  "bookmaker": {
    "label": "🏦 Bookmaker",
    "format": "string"
  },
  "market": {
    "label": "📊 Market",
    "format": "string"
  },
  "outcomeName": {
    "label": "🎯 Outcome",
    "format": "string"
  },
  "price": {
    "label": "💲 Price",
    "format": "string"
  },
  "point": {
    "label": "📐 Line / Point",
    "format": "string"
  },
  "lastUpdate": {
    "label": "🔄 Last Update",
    "format": "string"
  },
  "completed": {
    "label": "🏁 Completed",
    "format": "string"
  },
  "homeScore": {
    "label": "🔢 Home Score",
    "format": "string"
  },
  "awayScore": {
    "label": "🔢 Away Score",
    "format": "string"
  },
  "sportGroup": {
    "label": "🗂️ Sport Group",
    "format": "string"
  },
  "sportDescription": {
    "label": "📝 Sport Description",
    "format": "string"
  },
  "active": {
    "label": "🟢 Active",
    "format": "string"
  },
  "hasOutrights": {
    "label": "🎰 Has Outrights",
    "format": "string"
  },
  "status": {
    "label": "✅ Status",
    "format": "string"
  },
  "errorMessage": {
    "label": "⚠️ Error Message",
    "format": "string"
  },
  "bookmakerKey": {
    "label": "🔑 Bookmaker Key",
    "format": "string"
  },
  "marketKey": {
    "label": "📈 Market Key",
    "format": "string"
  },
  "_fetchedAt": {
    "label": "⏰ Fetched At",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Sports Betting Odds Scraper — Live Lines by Bookmaker](https://apify.com/sian.agency/sports-betting-odds-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/sian.agency/sports-betting-odds-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/sian.agency/sports-betting-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).