🏆 Sofascore Live Events Scraper

🚀 Export live and scheduled sports events in seconds. Pull matches, scores, tournaments, team logos, players, and managers across 13 sports from the official Sofascore live data feed. No sign-up, no manual scraping, no setup.

The Sofascore Live Events Scraper exports live and scheduled events from one of the world's most trusted live-sports data sources. Each record returns up to 20+ structured fields, including event ID, slug, tournament + season + status, kickoff timestamp, home and away teams (with country, logo, slug, ID), live and final scores, winner code, and direct links to the public Sofascore page.

The scraper covers 13 sports: football, basketball, tennis, ice hockey, baseball, handball, volleyball, snooker, rugby, MMA, cricket, American football, and esports. Beyond live events, you can search the public catalogue for any player, manager, or team by name and return canonical IDs, country, sport, current team, jersey number, and image URLs ready to use in your product.

🎯 Target Audience	💡 Primary Use Cases
Sports media, betting analytics teams, fantasy-sports apps, fan-engagement platforms, journalists, indie sports devs	Live scoreboards, fixture feeds, team + player lookups, tournament dashboards, social-media bots, content automation

📋 What the Sofascore Live Events Scraper does

Four lookup modes in a single run:

• ⚽ Live events. Every in-progress match in a chosen sport, with running scores and status.
• 📅 Scheduled events. All matches on a chosen date (YYYY-MM-DD) for any of 13 sports.
• 🔍 Player search. Resolve players by name with team, country, jersey number, position, and image.
• 👔 Manager search. Resolve managers by name with current team, country, and image.
• 🏟️ Team search. Resolve teams by name with sport, country, gender, tournament, and crest logo.

Each event record includes the canonical Sofascore identifiers, tournament + category + uniqueTournament hierarchy, season label, status code and description, kickoff Unix + ISO timestamp, both teams (with crest logos and country), live + final scores broken down per period, winner code, and a public deep-link to the match page.

💡 Why it matters: real-time sports data powers everything from live betting widgets to fan-engagement bots. Building your own data feed means juggling multiple sources, reconciling team IDs, and keeping logos fresh. This Actor returns one clean dataset per run, refreshed live.

📊 Data fields

Each record includes: awayScore, awayTeam, customId, hasGlobalHighlights, homeScore, homeTeam, id, scrapedAt, season, slug, startDate, startTimestamp, status, tournament, tournamentSlug, url. All 16 field names come from a real production run, so what you see here is what lands in your dataset.

🚀 How to use

1. 📝 Sign up. Create a free account w/ $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the Sofascore Live Events Scraper page on the Apify Store.
3. 🎯 Set input. Choose a mode, sport, and either a date or a search query.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

🔗 Recommended Actors

• ⚾ MLB Stats Scraper - Schedules, teams, rosters, player stats, live game feeds
• 🏒 NHL Stats Scraper - 32-team standings, schedule, player landing
• 🥅 TheSportsDB Scraper - Crowd-sourced sports database across leagues
• 🛡️ CWE MITRE Scraper - Software weakness reference catalogue
• 📊 OurAirports Scraper - Global airport reference dataset

💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.

⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Sofascore. All trademarks mentioned are the property of their respective owners. Only publicly available scoreboard data is collected.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

For faster answers, join our Discord. It's the best place to get support and suggest new actors.