Pricing

from $10.00 / 1,000 match summaries

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Sofascore Match Stats Scraper - Live Scores, Odds & Lineups

Try for free

Scrape Sofascore match data for 11 sports: score, statistics, lineups, xG shot maps, player ratings, head-to-head and odds. Search by team, match ID or live. Export CSV, Excel, JSON or API. No login or API key. 22 fields per match, 7 optional extras.

Pricing

from $10.00 / 1,000 match summaries

Rating

0.0

(0)

Developer

RecordsData

Actor stats

Bookmarked

Total users

Monthly active users

0.057 hours

Issues response

9 days ago

Last modified

Categories

Sports

Developer tools

You can access the Sofascore Match Stats Scraper - Live Scores, Odds & Lineups programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "teamNames": ["Real Madrid"],
10    "maxItems": 5,
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("recordsdata/sofascore-match-stats-scraper").call(run_input=run_input)
15
16# Fetch and print Actor results from the run's dataset (if there are any)
17print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
18for item in client.dataset(run.default_dataset_id).iterate_items():
19    print(item)
20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Sofascore Scraper: Match Stats, Lineups, xG & Odds API in Python

The Apify API client for Python is the official library that allows you to use Sofascore Match Stats Scraper - Live Scores, Odds & Lineups API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

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