# Soccer odds for tomorrow's matches from every bookmaker

**Use case:** 

Tomorrow's soccer matches with match-winner odds (1X2) from every bookmaker: the average, the best and the opening price for home, draw and away, the best-known competitions first. Turn on All odds markets for over/under, both teams to score and handicaps.

## Input

```json
{
  "mode": "matches",
  "sports": [
    "soccer"
  ],
  "date": "tomorrow",
  "days": 1,
  "status": [
    "scheduled"
  ],
  "competitions": [],
  "teams": [],
  "matchUrls": [],
  "includeStatistics": false,
  "includeEvents": false,
  "includeLineups": false,
  "includeOdds": true,
  "includeAllOddsMarkets": false,
  "includeHeadToHead": false,
  "seasons": [],
  "standingsTables": [
    "overall"
  ],
  "maxMatchesPerTeam": 20,
  "onlyChanges": false,
  "maxResults": 100
}
```

## Output

```json
{
  "sport": {
    "label": "Sport",
    "format": "string"
  },
  "competition": {
    "label": "Competition",
    "format": "string"
  },
  "startTime": {
    "label": "Start (UTC)",
    "format": "string"
  },
  "homeTeam": {
    "label": "Home",
    "format": "string"
  },
  "awayTeam": {
    "label": "Away",
    "format": "string"
  },
  "score": {
    "label": "Score",
    "format": "string"
  },
  "oddsMarket": {
    "label": "Market",
    "format": "string"
  },
  "oddsHome": {
    "label": "Home (avg)",
    "format": "number"
  },
  "oddsDraw": {
    "label": "Draw (avg)",
    "format": "number"
  },
  "oddsAway": {
    "label": "Away (avg)",
    "format": "number"
  },
  "oddsBestHome": {
    "label": "Home (best)",
    "format": "number"
  },
  "oddsBestDraw": {
    "label": "Draw (best)",
    "format": "number"
  },
  "oddsBestAway": {
    "label": "Away (best)",
    "format": "number"
  },
  "oddsOpeningHome": {
    "label": "Home (opening)",
    "format": "number"
  },
  "oddsOpeningDraw": {
    "label": "Draw (opening)",
    "format": "number"
  },
  "oddsOpeningAway": {
    "label": "Away (opening)",
    "format": "number"
  },
  "oddsBookmakers": {
    "label": "Bookmakers",
    "format": "integer"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Sports API - Live Scores, Stats & Odds (Soccer, NBA, NHL, NFL) Actor is ready to run with the inputs already set for "Soccer odds for tomorrow's matches from every bookmaker". [Sign up or log in](https://console.apify.com/create-task-from-example/W8JBpDeAJnNDko0Cd) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Soccer odds for tomorrow's matches from every bookmaker" task

The Sports API - Live Scores, Stats & Odds (Soccer, NBA, NHL, NFL) Actor will start running based on the input automatically. You can also change all the input fields, like what to get, sports, and more, to match your specific use case.

### 3. Receive the "Soccer odds for tomorrow's matches from every bookmaker" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as sport, competition, start (utc), and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Soccer odds for tomorrow's matches from every bookmaker" task via API](https://apify.com/akhil_rajesh/sports-scraper.md).

## About this Actor

This example demonstrates how to use [Sports API - Live Scores, Stats & Odds (Soccer, NBA, NHL, NFL)](https://apify.com/akhil_rajesh/sports-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/akhil_rajesh/sports-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/akhil_rajesh/sports-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`).