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Understat xG Player Stats Scraper

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Understat xG Player Stats Scraper

Understat xG Player Stats Scraper

Pull player expected goals data from Understat for the top European leagues. Each player returns games, minutes, goals, assists, shots, xG, xA, non penalty xG, xGChain, and xGBuildup for a chosen season. Great for football analytics, model building, and player scouting.

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from $4.00 / 1,000 results

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ParseForge

ParseForge

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12 hours ago

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โšฝ Understat xG Player Stats Scraper

๐Ÿš€ Get the full xG leaderboard for a league in one run. EPL 2024/2025 returns 562 players with goals, expected goals, assists, and expected assists.

Pull advanced player statistics from Understat, the expected goals data source for top European football. Pick a league and a season, and for every player get games, minutes, goals, assists, shots, xG, xA, non penalty xG, xGChain, and xGBuildup.

Coverage: Premier League, La Liga, Bundesliga, Serie A, Ligue 1, and the Russian Premier League, for every season from 2014 to the current campaign.

๐ŸŽฏ Target Audience๐Ÿ’ก Primary Use Cases
Football analystsBuild xG models and reports
Bettors and tradersFind over and under performers
Scouts and clubsCompare player output
Data scientistsBuild football datasets

๐Ÿ“‹ What the Understat xG Player Stats Scraper does

  • Pulls the complete player list for a league and season.
  • Returns 23 structured fields per player, including xG and xA.
  • Includes non penalty xG, xGChain, and xGBuildup advanced metrics.
  • Numbers come parsed and ready, with xG values rounded for readability.
  • Links each player to their Understat profile.
  • Exports to CSV, Excel, JSON, XML, or via API.

๐Ÿ“Š Data fields

Each record includes: assists, games, goals, npxG, playerName, playerUrl, position, results, scrapedAt, shots, team, xA, xG. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

๐Ÿš€ How to use

  1. Create a free Apify account using this sign-up link.
  2. Open the Understat xG Player Stats Scraper.
  3. Pick a league, set a season year, and set maxItems.
  4. Click Start and watch the dataset fill in real time.
  5. Export your results as CSV, Excel, JSON, or XML, or pull them via API.

๐Ÿ’ก Pro Tip: browse the complete ParseForge collection.

โš ๏ธ Disclaimer: independent tool, not affiliated with Understat. Only publicly available data is collected.

๐Ÿ†˜ 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.