# Formula 1 Results, Qualifying & Standings (`mrdoe/f1-race-results-standings`) Actor

Formula 1 race results, qualifying times, race calendar and driver and constructor championship standings for any season: positions, points, grid, fastest laps, session times. Data back to 1950. No login.

- **URL**: https://apify.com/mrdoe/f1-race-results-standings.md
- **Developed by:** [MrDoe](https://apify.com/mrdoe) (community)
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
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

![Formula 1 Results, Qualifying & Standings - Formula 1 race results, qualifying and standings data](https://api.apify.com/v2/key-value-stores/kE36venAoVchGsE6b/records/f1-race-results-standings--hero.png)

### What does Formula 1 Results, Qualifying & Standings do?

Formula 1 Results, Qualifying & Standings returns official Formula 1 data as clean rows for any season back to 1950. Choose race results, qualifying, the race calendar, driver standings or constructor standings, pick a season and optionally a round such as the last race. Each row has the race, circuit and date, driver or team, finishing or qualifying position, grid slot, laps, points, status, race time, fastest lap in seconds, and Q1 to Q3 times for qualifying.

### Quick start (3 steps)

1. **Open the Actor** on Apify and click **Try for free**. No coding needed.
2. **Choose what you want** in the input form (defaults already work - just press **Start**).
3. **Download the results** as JSON, CSV or Excel, connect them to Google Sheets, or call the Actor as a live API (see below).

### Where and how can you use Formula 1 Results, Qualifying & Standings?

Formula 1 Results, Qualifying & Standings gives you clean, structured data you can use in apps, spreadsheets, bots, dashboards and AI tools. Typical uses:

| Use case | Who it is for | How to do it |
|---|---|---|
| **Championship trackers** | F1 fans and site owners | Show driver and constructor standings after every round. |
| **Fantasy F1 and prediction games** | Game creators | Use qualifying grids and past results to score picks. |
| **Data analysis and dashboards** | Analysts and students | Load any season back to 1950 into Sheets, Python or BI tools. |
| **Betting models** | Quant bettors | Feed finishing order, grid slot and fastest laps into your model. |
| **Race-day bots** | Community admins | Post results to Discord or Telegram right after the flag. |
| **AI assistants** | Developers using LLMs | Answer "who won the last race?" with live data. |

**Works with:** Google Sheets, Excel, Make, Zapier, n8n, Airtable, Slack, Discord, Telegram, webhooks, Python, JavaScript, cURL, and any AI agent that can call an HTTP API or an MCP tool.

### Use it as a live API (Actor Standby)

Need an instant answer instead of starting a run? This Actor also works as an **always-on HTTP endpoint** (Apify Actor Standby). Send a request, get JSON back in seconds - ideal for a Formula 1 results API, apps and automations.

**Endpoint**

```
GET https://mrdoe--f1-race-results-standings.apify.actor/?dataType=driver-standings&season=2025
Authorization: Bearer <YOUR_APIFY_TOKEN>
```

**cURL**

```bash
curl -H "Authorization: Bearer $APIFY_TOKEN" \
  "https://mrdoe--f1-race-results-standings.apify.actor/?dataType=driver-standings&season=2025"
```

**Python**

```python
import requests
r = requests.get(
    "https://mrdoe--f1-race-results-standings.apify.actor/",
    params={"dataType": "driver-standings", "season": "2025"},
    headers={"Authorization": "Bearer YOUR_APIFY_TOKEN"},
    timeout=60,
)
print(r.json()["items"])
```

**JavaScript**

```javascript
const res = await fetch("https://mrdoe--f1-race-results-standings.apify.actor/?dataType=driver-standings&season=2025", {
  headers: { Authorization: `Bearer ${process.env.APIFY_TOKEN}` },
});
const { count, items } = await res.json();
```

You can also `POST` a JSON body with the same fields as the Actor input. The response always looks like `{ "count": 1, "items": [ ... ] }`; if something is wrong with your request you get a clear `error` message.

**Standby vs. normal run - which should I use?**

| | Standby API | Normal run |
|---|---|---|
| Best for | Apps, bots, chat assistants, quick lookups | Scheduled jobs, bigger exports, datasets |
| Speed | Answers in seconds | Starts a fresh run each time |
| Output | JSON in the response | Dataset (JSON, CSV, Excel, XML) |
| Scheduling | Call it whenever you like | Apify Schedules and Tasks |

### Parameters at a glance

| Parameter | Type | Default | What it does |
|---|---|---|---|
| `dataType` | string | "results" | Which Formula 1 data to return. |
| `season` | string | - | Four-digit year, for example 2026. Leave empty for the current season. |
| `round` | string | "last" | A round number such as 5, or "last" for the most recent race. For race results and qualifying, leave empty to return every round of the season. For standings it shows... |
| `maxRows` | integer | 5 | Maximum number of rows to return. Default is 5 for a quick test; set 0 to return everything available. |

Arrays can be passed as a comma-separated list in the URL, for example `?leagues=nba,nhl`.

### Example result

```json
{
  "dataType": "driver-standings",
  "season": 2025,
  "round": 24,
  "raceName": null,
  "circuit": null,
  "locality": null,
  "country": null,
  "date": null,
  "startTime": null,
  "driverId": "norris",
  "driverName": "Lando Norris",
  "driverCode": "NOR"
}
```

### Ready-made Tasks

This Actor ships with ready-to-run Tasks for the most common searches - open the **Tasks** tab, pick one, and press **Start**. Clone any Task to change the input and schedule it.

### Why use Formula 1 Results, Qualifying & Standings?

- Five data sets in one Actor and one schema, so joins are simple.
- Any season back to 1950, or just the last race.
- Fastest laps converted to seconds and qualifying times per session.
- Standings after any round for championship tracking.
- Works logged out; no key needed.

### What makes this different

Most F1 data tools cover only the latest race. This Actor returns results, qualifying, calendar and both championship tables for any season in a single flat schema, with fastest laps in seconds, ready for models and dashboards.

### How it works

![Formula 1 Results, Qualifying & Standings workflow: your input, collection, output](https://api.apify.com/v2/key-value-stores/kE36venAoVchGsE6b/records/f1-race-results-standings--how-it-works.png)

1. **Your input** — choose the data set, a season and an optional round such as last.
2. **The Actor collects it** — the Actor reads the official results feed and pages through it.
3. **Your output** — you get one clean row per driver, team or session.

### What data can you extract?

The dataset has 29 fields per row:

| Field | Type | Description |
|---|---|---|
| `dataType` | string | results, qualifying, schedule, driver-standings or constructor-standings. |
| `season` | number | Season year. |
| `round` | number | Round number. |
| `raceName` | string | Grand Prix name. |
| `circuit` | string | Circuit name. |
| `locality` | string | Circuit city. |
| `country` | string | Circuit country. |
| `date` | string | Race date. |
| `startTime` | string | Race start (ISO 8601). |
| `driverId` | string | Driver identifier. |
| `driverName` | string | Driver full name. |
| `driverCode` | string | Three-letter driver code. |
| `driverNumber` | number | Permanent race number. |
| `nationality` | string | Driver nationality. |
| `team` | string | Constructor name. |
| `position` | number | Finishing, qualifying or championship position. |
| `grid` | number | Starting grid slot. |
| `laps` | number | Laps completed. |
| `points` | number | Points scored. |
| `wins` | number | Wins in the championship. |
| `status` | string | Finished, +1 Lap, retirement reason. |
| `raceTime` | string | Race time as published. |
| `fastestLapRank` | number | Fastest-lap rank. |
| `fastestLapTime` | string | Fastest lap as published. |
| `fastestLapSeconds` | number | Fastest lap in seconds. |
| `q1` | string | Q1 time. |
| `q2` | string | Q2 time. |
| `q3` | string | Q3 time. |
| `sessions` | object | Session start times for a race weekend. |

### How to use Formula 1 Results, Qualifying & Standings

![Formula 1 Results, Qualifying & Standings input form](https://api.apify.com/v2/key-value-stores/kE36venAoVchGsE6b/records/f1-race-results-standings--input.png)

1. Open the Actor and go to the **Input** tab.
2. Choose the **Data** you want, optionally set a **Season** and a **Round** such as `last`, and press Start.
3. Optionally set filters and a **Max results** limit.
4. Click **Start**. A default run finishes in under a minute.
5. Open the **Output** tab, then download the dataset or connect it to your tools.

### Input Parameters

| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| `dataType` | string | No | `"results"` | Which Formula 1 data to return. |
| `season` | string | No | — | Four-digit year, for example 2026. Leave empty for the current season. |
| `round` | string | No | `"last"` | A round number such as 5, or "last" for the most recent race. For race results and qualifying, leave empty to return every round of the season. For standings it shows the table after that round. |
| `maxRows` | integer | No | `5` | Maximum number of rows to return. Default is 5 for a quick test; set 0 to return everything available. |
| `proxyConfiguration` | object | No | `{"useApifyProxy":false}` | Optional. The data is public and works without a proxy. |

### Output Data

![Formula 1 Results, Qualifying & Standings dataset table](https://api.apify.com/v2/key-value-stores/kE36venAoVchGsE6b/records/f1-race-results-standings--output.png)

`dataType` says which data set a row belongs to; fields that do not apply are `null`. Times are strings as published; `fastestLapSeconds` is numeric. Points and positions are numbers.

![Formula 1 Results, Qualifying & Standings field map of one record](https://api.apify.com/v2/key-value-stores/kE36venAoVchGsE6b/records/f1-race-results-standings--fields.png)

A real dataset item:

```json
{
  "dataType": "results",
  "season": 2026,
  "round": 14,
  "raceName": "Spanish Grand Prix",
  "circuit": "Madring",
  "locality": "Madrid",
  "country": "Spain",
  "date": "2026-09-13",
  "startTime": "2026-09-13T13:00:00Z",
  "driverId": "antonelli",
  "driverName": "Andrea Kimi Antonelli",
  "driverCode": "ANT",
  "driverNumber": 12,
  "nationality": "Italian",
  "position": 1,
  "grid": 2,
  "laps": 57,
  "points": 25,
  "wins": null,
  "status": "Finished",
  "raceTime": "1:34:23.754",
  "fastestLapRank": 2,
  "fastestLapTime": "1:36.030",
  "fastestLapSeconds": 96.03,
  "q1": null,
  "q2": null,
  "q3": null,
  "team": "Mercedes",
  "sessions": null
}
```

### Usage Examples

#### Last race results

```json
{
  "dataType": "results",
  "round": "last",
  "maxRows": 20
}
```

#### Driver championship table

```json
{
  "dataType": "driver-standings",
  "maxRows": 25
}
```

#### Full 2025 race calendar

```json
{
  "dataType": "schedule",
  "season": "2025",
  "maxRows": 30
}
```

### Tips for Best Results

- Leave Round empty for results or qualifying to get every round of a season.
- Use the standings after a specific round to see how the championship evolved.
- Schedule it after each race weekend.
- Default is 5 results for a fast test. Set the max to 0 to return everything available.

### Known Limitations

- Results appear shortly after a session ends.
- Qualifying Q1 to Q3 times exist only for sessions that had those stages.
- Sprint results are not included.
- The data feed limits request rates; very large multi-season pulls should be split across runs.

### Integrations

Run it from the Apify API, on a schedule, or from a webhook. Send results straight to Google Sheets, Make, Zapier, Slack or your own database with Apify's built-in integrations.

### Export Formats

Download the dataset as JSON, CSV, Excel, XML, HTML table or RSS from the **Output** tab or the API.

### Frequently Asked Questions

#### Does it need an account or API key?

No. It reads a public results feed.

#### Which seasons are covered?

Every Formula 1 season from 1950 to the current one.

#### Am I charged for failed results?

No. You are only charged for rows written to the dataset.

#### Do I need an account or login?

No. The Actor reads public results data and needs no account or key.

#### Am I charged for failed runs or empty results?

You are only charged for results that are actually written to the dataset.

#### Can I run it on a schedule?

Yes. Create a Task with your input and add a schedule in Apify Console. With monitor mode on, each scheduled run returns only what changed since the previous one.

#### Can I use this Actor as an API?

Yes. Call the endpoint shown in **Use it as a live API** with your Apify token. You get JSON in the response, no run to manage.

#### Can I connect it to Google Sheets, Make, Zapier or n8n?

Yes. Use the Apify integrations for each tool, or call the endpoint from any HTTP module. Scheduled Tasks can push fresh data to your sheet or workflow automatically.

#### Can an AI assistant use it?

Yes. Any agent that can call an HTTP endpoint or use Apify Actors as tools can call it and read the JSON result.

### Support

Questions or a missing field? Open an issue from the **Issues** tab on this Actor's page and it will be looked at.

### Legal / Responsible Use

You are responsible for using the data in line with the data provider's terms and applicable law. Formula 1 is a trademark of its owners; this Actor is not affiliated with Formula 1.

# Actor input Schema

## `dataType` (type: `string`):

Which Formula 1 data to return.

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

Four-digit year, for example 2026. Leave empty for the current season.

## `round` (type: `string`):

A round number such as 5, or "last" for the most recent race. For race results and qualifying, leave empty to return every round of the season. For standings it shows the table after that round.

## `maxRows` (type: `integer`):

Maximum number of rows to return. Default is 5 for a quick test; set 0 to return everything available.

## `proxyConfiguration` (type: `object`):

Optional. The data is public and works without a proxy.

## Actor input object example

```json
{
  "dataType": "results",
  "round": "last",
  "maxRows": 5,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# 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 = {
    "round": "last",
    "maxRows": 5
};

// Run the Actor and wait for it to finish
const run = await client.actor("mrdoe/f1-race-results-standings").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 = {
    "round": "last",
    "maxRows": 5,
}

# Run the Actor and wait for it to finish
run = client.actor("mrdoe/f1-race-results-standings").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 '{
  "round": "last",
  "maxRows": 5
}' |
apify call mrdoe/f1-race-results-standings --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,mrdoe/f1-race-results-standings"
        }
    }
}
```

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/udfcVg6waeIqL5Hob/builds/7kCaHElKz7uGf1gFe/openapi.json