# Flashscore Live Scores, Fixtures & Results Scraper (`mrdoe/flashscore-live-scores-fixtures`) Actor

Live scores, fixtures and finished results from Flashscore for football, tennis, basketball, ice hockey, baseball and more, for the past and next seven days, filterable by country, league, team and status.

- **URL**: https://apify.com/mrdoe/flashscore-live-scores-fixtures.md
- **Developed by:** [MrDoe](https://apify.com/mrdoe) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.10 / 1,000 results

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

![Flashscore Live Scores, Fixtures & Results Scraper - Every match on the day's Flashscore board with live scores, filtered by sport, league, team and status.](https://api.apify.com/v2/key-value-stores/kE36venAoVchGsE6b/records/flashscore-live-scores-fixtures--hero.png)

### What does Flashscore Live Scores, Fixtures & Results Scraper do?

Flashscore Live Scores, Fixtures & Results returns the Flashscore match board as clean rows: for each match the sport, country, league, teams, start time, status (scheduled, live or finished), current or final score and the winner. Choose one or more sports and any window from seven days back to seven days ahead, then filter by country, league, team or live status. It covers football, tennis, basketball, ice hockey, American football, baseball, handball, rugby union and cricket.

### Why use Flashscore Live Scores, Fixtures & Results Scraper?

- Nine sports in one Actor.
- Live, scheduled and finished matches.
- Seven days back and seven days ahead.
- Filter by country, league, team or status.
- Fast: a full day of football in seconds.

### What makes this different

Live-score sites are built for reading, not exporting. This Actor returns the whole board as flat rows with the score, status and winner already worked out, so you can feed results into a model, settle bets or trigger alerts on live matches.

### How it works

![Flashscore Live Scores, Fixtures & Results Scraper workflow: your input, collection, output](https://api.apify.com/v2/key-value-stores/kE36venAoVchGsE6b/records/flashscore-live-scores-fixtures--how-it-works.png)

1. **Your input** — choose the sports, days and filters.
2. **The Actor collects it** — the Actor reads the board for each day.
3. **Your output** — you get one row per match, earliest first.

### What data can you extract?

The dataset has 16 fields per row:

| Field | Type | Description |
|---|---|---|
| `matchId` | string | Match ID. |
| `url` | string | Match page. |
| `sportId` | integer | Sport ID. |
| `sport` | string | Sport name for the common sports. |
| `country` | string | Country or region of the competition. |
| `league` | string | Competition name. |
| `leagueUrl` | string | Competition page. |
| `home` | string | Home team or player. |
| `away` | string | Away team or player. |
| `startTime` | string | Start time (ISO 8601, UTC). |
| `status` | string | scheduled, live or finished. |
| `period` | string | Current period of a live match when known, for example 2nd half. |
| `homeScore` | integer | Home score (current or final). |
| `awayScore` | integer | Away score (current or final). |
| `winner` | string | home, away or draw once finished. |
| `scrapedAt` | string | ISO timestamp of collection. |

### How to use Flashscore Live Scores, Fixtures & Results Scraper

![Flashscore Live Scores, Fixtures & Results Scraper input form](https://api.apify.com/v2/key-value-stores/kE36venAoVchGsE6b/records/flashscore-live-scores-fixtures--input.png)

1. Open the Actor and go to the **Input** tab.
2. Pick **Sports**, set **From day** and **To day** (0 is today), narrow with **Match status**, **Countries**, **Leagues** or **Teams**, and set **Max results** to 0 for everything.
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 |
|---|---|---|---|---|
| `sports` | array | No | `["Football"]` | Sports by name (Football, Tennis, Basketball, Ice Hockey, American Football, Baseball, Handball, Rugby Union, Cricket) or numeric sport ID. Leave empty for football. |
| `dayFrom` | integer | No | `0` | First day as an offset from today: 0 is today, -1 yesterday, 1 tomorrow. Between -7 and 7. |
| `dayTo` | integer | No | `0` | Last day as an offset from today. Leave equal to the first day for a single day. Between -7 and 7. |
| `status` | string | No | `"all"` | Only matches in this state. |
| `countries` | array | No | `[]` | Only competitions from these countries or regions, for example England, Spain, USA, World. |
| `leagues` | array | No | `[]` | Only competitions whose name contains one of these words, for example Premier League or NBA. |
| `teams` | array | No | `[]` | Only matches involving a team whose name contains one of these words. |
| `maxResults` | integer | No | `5` | Maximum number of matches returned. 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

![Flashscore Live Scores, Fixtures & Results Scraper dataset table](https://api.apify.com/v2/key-value-stores/kE36venAoVchGsE6b/records/flashscore-live-scores-fixtures--output.png)

`status` is scheduled, live or finished, `homeScore` and `awayScore` hold the current or final score, and `winner` is set once the match has finished. `league` and `country` describe the competition and `leagueUrl` links to it.

![Flashscore Live Scores, Fixtures & Results Scraper field map of one record](https://api.apify.com/v2/key-value-stores/kE36venAoVchGsE6b/records/flashscore-live-scores-fixtures--fields.png)

A real dataset item:

```json
{
  "matchId": "2JfT1HoK",
  "url": "https://www.flashscore.com/match/2JfT1HoK/",
  "sportId": 1,
  "sport": "Football",
  "country": "Canada",
  "league": "NSL Women",
  "leagueUrl": "https://www.flashscore.com/football/canada/nsl-women/",
  "home": "Ottawa Rapid W",
  "away": "Calgary Wild W",
  "startTime": "2026-09-20T23:00:00.000Z",
  "status": "finished",
  "period": null,
  "homeScore": 3,
  "awayScore": 1,
  "winner": "home",
  "scrapedAt": "2026-09-21T19:56:17.972Z"
}
```

### Usage Examples

#### Live football right now

```json
{
  "sports": [
    "Football"
  ],
  "status": "live",
  "maxResults": 0
}
```

#### Yesterday's results

```json
{
  "sports": [
    "Football",
    "Basketball"
  ],
  "dayFrom": -1,
  "status": "finished",
  "maxResults": 0
}
```

#### This week's tennis fixtures

```json
{
  "sports": [
    "Tennis"
  ],
  "dayFrom": 0,
  "dayTo": 6,
  "status": "scheduled",
  "maxResults": 0
}
```

### Tips for Best Results

- Default is 5 results for a fast test. Set the max to 0 to return everything available.

### Known Limitations

- Only the board within seven days back and ahead is available.
- Odds, line-ups and match statistics are not included, only fixtures, scores and status.
- The day boundary follows the source's own day, so matches near midnight may appear on the adjacent day.
- Sport names are given for the common sports; others show only the sport ID.

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

#### Am I charged for failed results?

No. You are only charged for results that are written to the dataset.

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

No. The Actor reads public 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.

### 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 source's terms and applicable law. The Actor collects publicly available data only and is not affiliated with the source.

# Actor input Schema

## `sports` (type: `array`):

Sports by name (Football, Tennis, Basketball, Ice Hockey, American Football, Baseball, Handball, Rugby Union, Cricket) or numeric sport ID. Leave empty for football.

## `dayFrom` (type: `integer`):

First day as an offset from today: 0 is today, -1 yesterday, 1 tomorrow. Between -7 and 7.

## `dayTo` (type: `integer`):

Last day as an offset from today. Leave equal to the first day for a single day. Between -7 and 7.

## `status` (type: `string`):

Only matches in this state.

## `countries` (type: `array`):

Only competitions from these countries or regions, for example England, Spain, USA, World.

## `leagues` (type: `array`):

Only competitions whose name contains one of these words, for example Premier League or NBA.

## `teams` (type: `array`):

Only matches involving a team whose name contains one of these words.

## `maxResults` (type: `integer`):

Maximum number of matches returned. 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
{
  "sports": [
    "Football"
  ],
  "dayFrom": 0,
  "dayTo": 0,
  "status": "all",
  "countries": [],
  "leagues": [],
  "teams": [],
  "maxResults": 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 = {
    "sports": [
        "Football"
    ],
    "maxResults": 5
};

// Run the Actor and wait for it to finish
const run = await client.actor("mrdoe/flashscore-live-scores-fixtures").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 = {
    "sports": ["Football"],
    "maxResults": 5,
}

# Run the Actor and wait for it to finish
run = client.actor("mrdoe/flashscore-live-scores-fixtures").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 '{
  "sports": [
    "Football"
  ],
  "maxResults": 5
}' |
apify call mrdoe/flashscore-live-scores-fixtures --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,mrdoe/flashscore-live-scores-fixtures"
        }
    }
}
```

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/chcEZv1Up9fDnnRXk/builds/ePGwE3lRhlMzenig7/openapi.json