# Find HYROX PRO Results

**Use case:** 

Collect summary HYROX PRO results for Men at 2026 Amsterdam. Each row shows the athlete name, rank, and finish time, plus other published result details. Change the format, gender, or day to collect a different race. This task uses source season 8 (25/26).

## Input

```json
{
  "seasons": [
    "8"
  ],
  "events": [
    "2026 Amsterdam"
  ],
  "raceFormats": [
    "HYROX PRO"
  ],
  "genders": [
    "Men"
  ],
  "raceDays": [
    "Saturday"
  ],
  "detailLevel": "summary",
  "maxItems": 20
}
```

## Output

```json
{
  "season": {
    "label": "Season",
    "format": "string"
  },
  "eventName": {
    "label": "Event",
    "format": "string"
  },
  "raceDate": {
    "label": "Race date",
    "format": "string"
  },
  "division": {
    "label": "Division",
    "format": "string"
  },
  "raceCode": {
    "label": "Race code",
    "format": "string"
  },
  "gender": {
    "label": "Gender",
    "format": "string"
  },
  "ageGroup": {
    "label": "Age group",
    "format": "string"
  },
  "entryName": {
    "label": "Participant or team",
    "format": "string"
  },
  "nationality": {
    "label": "Nationality",
    "format": "string"
  },
  "bib": {
    "label": "Bib",
    "format": "string"
  },
  "resultId": {
    "label": "Result ID",
    "format": "string"
  },
  "resultStatus": {
    "label": "Result status",
    "format": "string"
  },
  "overallRank": {
    "label": "Overall rank",
    "format": "integer"
  },
  "ageGroupRank": {
    "label": "Age-group rank",
    "format": "integer"
  },
  "finishTime": {
    "label": "Finish time",
    "format": "string"
  },
  "runningTotalTime": {
    "label": "Running total time",
    "format": "string"
  },
  "transitionTime": {
    "label": "Transition time",
    "format": "string"
  },
  "penalties": {
    "label": "Penalties",
    "format": "string"
  },
  "bonuses": {
    "label": "Bonuses",
    "format": "string"
  },
  "stationSplits": {
    "label": "Station splits",
    "format": "array"
  },
  "runningLegSplits": {
    "label": "Running-leg splits",
    "format": "array"
  },
  "disqualificationReason": {
    "label": "Disqualification reason",
    "format": "string"
  },
  "sourceResultUrl": {
    "label": "Official result link",
    "format": "string"
  }
}
```

## How it works

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

The HYROX Race Results Scraper Actor is ready to run with the inputs already set for "Find HYROX PRO Results". [Sign up or log in](https://console.apify.com/create-task-from-example/WROlW0XXzQGRNSJUz) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Find HYROX PRO Results" task

The HYROX Race Results Scraper Actor will start running based on the input automatically. You can also change all the input fields, like HYROX source seasons, events, and more, to match your specific use case.

### 3. Receive the "Find HYROX PRO Results" 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 season, event, race date, 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 "Find HYROX PRO Results" task via API](https://apify.com/maximedupre/hyrox-race-results.md).

## About this Actor

This example demonstrates how to use [HYROX Race Results Scraper](https://apify.com/maximedupre/hyrox-race-results.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/maximedupre/hyrox-race-results.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/maximedupre/hyrox-race-results.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`).