# Basketball Odds Scraper: Betano Spreads, Totals and Winners

**Use case:** 

Basketball odds scraper for upcoming games on Betano Germany. Every fixture comes with the teams, league, tip-off time, and decimal prices for the winner, point spreads, and over/under totals across many lines. Handy for line shopping, model backtests, or a quick look at tonight's games. Switch the country to compare another Betano book.

## Input

```json
{
  "country": "DE",
  "sport": "basketball",
  "includeOdds": true,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  },
  "maxEvents": 5,
  "onlyNewOrChanged": false,
  "stateName": "default"
}
```

## Output

```json
{
  "teams": {
    "label": "Fixture",
    "format": "string"
  },
  "markets": {
    "label": "Market",
    "format": "array"
  },
  "sourceUrl": {
    "label": "Link",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Betano Odds Scraper: Full Match Odds & Price-Move Monitor](https://apify.com/getascraper/betano-odds-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/getascraper/betano-odds-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/getascraper/betano-odds-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`).