# Tennis Score Delta API — Changed Matches Only

**Use case:** 

Reuse one saved delta feed to receive only NEW, UPDATED, and RESULT tennis score states while unchanged matches are suppressed.

## Input

```json
{
  "preset": "delta",
  "monitorId": "task-tennis-score-delta",
  "dayOffsets": [
    "0"
  ],
  "matchStatuses": [
    "all"
  ],
  "tours": [],
  "tournaments": [],
  "startUrls": [],
  "maxItems": 250,
  "sourceMode": "live",
  "fixtureScenario": "baseline"
}
```

## Output

```json
{
  "eventType": {
    "label": "Event type",
    "format": "string"
  },
  "matchStatus": {
    "label": "Match status",
    "format": "string"
  },
  "tournamentName": {
    "label": "Tournament",
    "format": "string"
  },
  "homePlayers": {
    "label": "Home players",
    "format": "array"
  },
  "awayPlayers": {
    "label": "Away players",
    "format": "array"
  },
  "setsWonHome": {
    "label": "Home sets won",
    "format": "integer"
  },
  "setsWonAway": {
    "label": "Away sets won",
    "format": "integer"
  },
  "currentGameScoreHome": {
    "label": "Home game score",
    "format": "string"
  },
  "currentGameScoreAway": {
    "label": "Away game score",
    "format": "string"
  },
  "changedFields": {
    "label": "Changed fields",
    "format": "array"
  },
  "matchDate": {
    "label": "Match date",
    "format": "string"
  },
  "matchId": {
    "label": "Stable match ID",
    "format": "string"
  },
  "eventId": {
    "label": "Stable event ID",
    "format": "string"
  },
  "observedAt": {
    "label": "Observed at",
    "format": "string"
  },
  "matchUrl": {
    "label": "Match URL",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [🎾 Flashscore Tennis Scores API](https://apify.com/kazkn/tennis-match-delta-feed) with a specific input configuration. Visit the [Actor detail page](https://apify.com/kazkn/tennis-match-delta-feed) 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`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/kazkn/tennis-match-delta-feed.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).