# Historical Tennis Match Results by Date

**Use case:** 

Look up historical tennis match results for a fixed date range across ATP, WTA, Challenger and ITF tours. Each row returns the tournament, round, surface, both players rankings and the final set-by-set score for matches finished that week. Change the date from and date to fields to any past week you need, up to a 31 day range in one run, and build a results archive yourself.

## Input

```json
{
  "mode": "schedule",
  "tourLevel": "all",
  "statusFilter": "finished",
  "dateFrom": "2026-08-25",
  "dateTo": "2026-08-31",
  "matches": [
    "12836554"
  ],
  "includeStatistics": true,
  "includePointByPoint": false,
  "rankingTour": "atp",
  "query": "Carlos Alcaraz",
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "matchName": {
    "label": "Match",
    "format": "string"
  },
  "tourLevel": {
    "label": "Tour",
    "format": "string"
  },
  "tournament": {
    "label": "Tournament",
    "format": "string"
  },
  "surface": {
    "label": "Surface",
    "format": "string"
  },
  "roundName": {
    "label": "Round",
    "format": "string"
  },
  "homeRanking": {
    "label": "Home Rank",
    "format": "number"
  },
  "awayRanking": {
    "label": "Away Rank",
    "format": "number"
  },
  "sets": {
    "label": "Sets",
    "format": "array"
  },
  "statusDescription": {
    "label": "Status",
    "format": "string"
  },
  "matchUrl": {
    "label": "Link",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Tennis Live Scores Scraper: ATP, WTA, Sets, Stats and Rankings](https://apify.com/getascraper/tennis-live-scores-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/getascraper/tennis-live-scores-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/tennis-live-scores-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`).