# MotoGP Race History: Rider Results incl. Sprints (`trovevault/motogp-race-history`) Actor

Get the race history of any MotoGP, Moto2 or Moto3 rider: date, Grand Prix, circuit, race or sprint, finishing position, points, laps, gap and team. Built for AI agents, bettors and analysts.

- **URL**: https://apify.com/trovevault/motogp-race-history.md
- **Developed by:** [Trove Vault](https://apify.com/trovevault) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.85 / 1,000 races

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

MotoGP Race History returns recent MotoGP, Moto2 and Moto3 race and sprint classifications for the riders you name, one row per rider and session, newest first. Compare positions, points, laps and gaps across seasons.

### What does MotoGP Race History do?

MotoGP Race History resolves riders against the public results API behind motogp.com and returns race and sprint classifications with points, laps, race time, gap to the winner and team.

- Type names in plain text (Marc Marquez, Francesco Bagnaia, Pedro Acosta, 93); no IDs needed.
- Get recent form in one call: the newest races first, across seasons when needed.
- Ask for many names in one run and get one combined table.
- Export to JSON, CSV or Excel, or connect the Actor to an AI workflow through Apify integrations or an MCP client.

### What data can you extract?

| Field | Meaning |
| --- | --- |
| `query` | Query |
| `sport` | Sport identifier |
| `category` | Class |
| `entityType` | Rider |
| `entityId` | MotoGP API rider UUID |
| `entityName` | Rider |
| `date` | Date |
| `season` | Season |
| `event` | Grand Prix |
| `eventShortName` | eventShortName |
| `circuit` | Circuit |
| `country` | country |
| `session` | Session |
| `position` | Position |
| `classified` | Classified |
| `points` | Points |
| `laps` | Laps |
| `raceTime` | raceTime |
| `gapToWinner` | Gap to winner |
| `averageSpeedKmh` | averageSpeedKmh |
| `team` | Team |
| `constructor` | Bike |
| `eventId` | MotoGP API event UUID |
| `scrapedAt` | When this run retrieved the row |
| `runId` | Your optional workflow identifier |

Every row also includes `query` (the name you entered), `entityId`, `scrapedAt` and your optional `runId`.

### How to use MotoGP Race History

1. Open MotoGP Race History on Apify and sign in or create a free account.
2. Add one or more names in **Riders**.
3. Set **Maximum races per name** (10 is a good default for recent form).
4. Click **Start** and download the results, or call the Actor from the API or an AI agent.

#### Input examples

```json
{
  "riders": [
    "Marc Marquez",
    "Pedro Acosta"
  ],
  "maxItems": 10
}
```

```json
{
  "riders": [
    "Francesco Bagnaia"
  ],
  "season": "2025",
  "maxItems": 44
}
```

#### Output example

```json
{
  "query": "Marc Marquez",
  "sport": "motogp",
  "category": "MotoGP",
  "entityType": "rider",
  "entityId": "23e50438-a657-4fb0-a190-3262b5472f29",
  "entityName": "Marc Marquez",
  "date": "2026-10-03T15:00:00+00:00",
  "season": 2026,
  "event": "MOTUL GRAND PRIX OF JAPAN",
  "eventShortName": "JPN",
  "circuit": "Mobility Resort Motegi",
  "country": "Japan",
  "session": "Sprint",
  "position": 1,
  "classified": true,
  "points": 12,
  "laps": 12,
  "raceTime": "20:50.376",
  "gapToWinner": "0.000",
  "averageSpeedKmh": 165.8,
  "team": "Ducati Lenovo Team",
  "constructor": "Ducati",
  "scrapedAt": "2026-10-09T12:00:00.000Z",
  "runId": null
}
```

### Who uses MotoGP Race History?

- **Betting and prediction-market research:** check a rider's last 10 sprints and races, and how often they finish, before a market closes.
- **Fantasy MotoGP:** compare points and consistency before each round.
- **Analysts and media:** pull a season Grand Prix by Grand Prix, sprints included.

Schedule recurring runs if you track the same riders throughout a season.

### Why use MotoGP Race History?

| Feature | Typical sports scrapers | MotoGP Race History |
| --- | --- | --- |
| Input | Site-specific slugs or IDs | Plain names, URLs or IDs |
| Same-name athletes | Often picks the wrong person | Filtered to MotoGP only |
| Output shape | Raw page tables | One clean row per race, newest first |
| Several names per run | Usually one | Up to 50 |
| AI agent use | Not described | Short, predictable rows for MCP tools |

### How much will MotoGP Race History cost?

MotoGP Race History uses pay-per-event pricing. At current Free-tier rates, the default 4 GB run-start charge is about $0.004, plus $0.001 per returned race; 10 rows therefore cost about $0.014. Your plan tier and Apify's current rates may change the total. Check the Pricing tab and request only the rows you need.

### Run it through the Apify API

```bash
curl -X POST "https://api.apify.com/v2/acts/trovevault~motogp-race-history/run-sync-get-dataset-items" \
  -H "Authorization: Bearer <YOUR_APIFY_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"riders": ["Marc Marquez", "Pedro Acosta"], "maxItems": 10}'
```

### Limitations

- Current riders only, matched by name or race number. Practice and qualifying sessions are not included.
- Data comes from the public results API behind motogp.com, so coverage and update timing follow that source and may lag the end of an event.
- Only completed races are returned; scheduled ones are skipped.

### Troubleshooting

- **No rows returned:** check the spelling or try the rider's race number. The source may not resolve every historical rider name; upcoming sessions are not included.
- **Fewer rows than requested:** the source may have fewer completed results for that name, season or competition.
- **Some names failed:** successful names are still returned. Check the `RUN_SUMMARY` key-value record for the per-name errors and retry only those names.
- **Rows are missing from your existing dataset:** confirm the `datasetId` belongs to a dataset you can write to. The run's default dataset is still populated separately.

### FAQ

#### Can I use MotoGP Race History with AI agents?

Yes. You can call the Actor from an AI agent using Apify's API or an MCP client configured to access Apify Actors.

#### Can I use MotoGP Race History with the Apify API?

Yes. Use the `run-sync-get-dataset-items` endpoint shown above, or the Apify JavaScript and Python clients.

#### How many races can I get per run?

Up to 200 races per name and up to 50 names per run.

#### Can I get historical races?

Yes. Set **Season** to read a past season, or raise **Maximum races per name** and the Actor goes back across seasons.

#### Does it work with integrations?

Yes. Send results to Google Sheets, Make, Zapier, n8n, Slack or webhooks with Apify integrations, or append them to an existing dataset with **Dataset ID**.

#### Is it legal to collect this data?

MotoGP Race History collects factual sports results and statistics that are publicly available. You are responsible for how you use the data, including any terms of the sources and betting rules in your country.

### Your feedback

Found a missing race or a wrong name match? Open an issue on the Issues tab and include the name you entered.

# Actor input Schema

## `riders` (type: `array`):

Current MotoGP, Moto2 or Moto3 riders by full name, surname or race number. Format: one name per line. Examples: Marc Marquez, Francesco Bagnaia, Pedro Acosta, 93.

## `maxItems` (type: `integer`):

How many of the most recent races and sprints to return for each rider, newest first. Example: 10 for recent form, 44 for a full season of races and sprints. Each session is one dataset row.

## `season` (type: `string`):

Season to read, as its year. Example: 2025. Leave empty to get the most recent races, going back up to four seasons.

## `datasetId` (type: `string`):

Existing Apify dataset to append the same rows to, in addition to this run's default dataset. Useful when several runs feed one dataset.

## `runId` (type: `string`):

Your own workflow identifier, copied into every output row as runId. Example: weekly-report-2026-10-12.

## Actor input object example

```json
{
  "riders": [
    "Marc Marquez"
  ],
  "maxItems": 10
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "riders": [
        "Marc Marquez"
    ],
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("trovevault/motogp-race-history").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "riders": ["Marc Marquez"],
    "maxItems": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("trovevault/motogp-race-history").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "riders": [
    "Marc Marquez"
  ],
  "maxItems": 10
}' |
apify call trovevault/motogp-race-history --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,trovevault/motogp-race-history"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/utV0N1RbjaopUpHyB/builds/kGJkc22MjcA6Er5xO/openapi.json