# SofaScore Live Sports Scraper - Scores, Matches & Stats (`axery/sofascore-scraper`) Actor

Fast real-time live score scraper for SofaScore. Extract live matches, scores, tournaments, periods, and team details across football, tennis, and basketball.

- **URL**: https://apify.com/axery/sofascore-scraper.md
- **Developed by:** [Axery](https://apify.com/axery) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 sofascore live matches

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

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## SofaScore Live Sports Scraper

Real-time live scores, match status, and game statistics scraper for SofaScore. Ideal for sports betting bots, odds tracking, live ticker apps, and sports analytics.

### Features

- **Multi-Sport Coverage**: Real-time live scores for Football (Soccer), Tennis, Basketball, Ice Hockey, Volleyball, and Baseball.
- **Rich Match Data**: Extracts live scores, tournament names, home & away teams, match status (1st half, 2nd half, overtime, sets), period breakdown, and start times.
- **Ultra Fast**: HTTP-only REST JSON architecture, delivers 100+ live matches in under 2 seconds.
- **Zero Browser Required**: 100% lightweight Python service with minimal memory usage (256 MB).

### Pricing

Pay-Per-Event (PPE):

- **Start Fee**: $0.005
- **Per Match Item**: $0.002

# Actor input Schema

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

Select sports to extract live scores and match statistics.

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

Maximum number of live match events to extract.

## Actor input object example

```json
{
  "sports": [
    "football",
    "tennis",
    "basketball"
  ],
  "maxItems": 100
}
```

# Actor output Schema

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

Dataset containing output records.

# 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",
        "tennis",
        "basketball"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("axery/sofascore-scraper").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",
        "tennis",
        "basketball",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("axery/sofascore-scraper").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",
    "tennis",
    "basketball"
  ]
}' |
apify call axery/sofascore-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,axery/sofascore-scraper"
        }
    }
}
```

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/vxeJqxDs5s7baNNDF/builds/Lcfhha7fklSghnfqQ/openapi.json