⚽ Bundesliga Stats Scraper

Export any official Bundesliga player leaderboard as flat rows: rank, player, club, the stat value, and the season it belongs to. 19 stat categories, from goals and assists to top speed, sprints and pass accuracy. No API key, no account, no login.

bundesliga.com publishes a ranked leaderboard for each stat category and each season. The pages are built for reading, not for exporting: there is no public API, no download button, and the numbers reset when you change the category. This Actor reads one leaderboard per run and writes every player on it into a dataset you can open in a spreadsheet.

Who uses it	What they use the leaderboards for
📈 Football data analysts	Building season-over-season tables of the same stat across players and clubs
🎲 Model builders	Feeding current-season form into prediction and pricing models
📰 Sports journalists	Pulling the top of a category with exact numbers for a match preview
🔍 Scouts and agency analysts	Shortlisting players who lead a specific category, with the club attached

📋 What it does

💡 Why it matters: one leaderboard is a screenshot. Nineteen categories across several seasons, in one schema, is a dataset.

• 🏆 Reads one leaderboard per run. Pick the category and the Actor returns it in rank order, starting at 1.
• 📊 19 categories. goals, assists, shots, woodwork, saves, crosses, tackles, aerialDuels, topSpeed, yellowCards, cards, passAccuracy, distance, sprints, intensiveRuns, penalties, penaltiesScored, foulsDrawn and ownGoals.
• 📅 Any season. Leave season empty for the current one, or pass an official identifier such as DFL-SEA-0001K8 for 2024/25.
• 🆔 Stable player and season IDs. playerId and season are the league's own identifiers, so runs from different categories join cleanly.
• 🖼 Player and club images. Each row carries the official player photo and club crest URL.
• 💾 Exports to CSV, Excel, JSON or XML, from the run page or the API.

📊 Output

Every player on the leaderboard is one flat row. 11 fields, the same in every category.

Field	Type	Description
🥇 rank	integer	Position on the leaderboard, starting at 1
👤 player	string	Player name as the league prints it
🛡 team	string	Club the player is listed under for that season
🆔 playerId	string	Official league player identifier, for example DFL-OBJ-J00ZZ3
📊 statCategory	string	The category this row belongs to, for example goals
🔢 statValue	number	The value for that category. Goals scored, kilometres run, pass accuracy, depending on the category
📅 season	string	Official season identifier, for example DFL-SEA-0001K9
🖼 imageUrl	string	Official player photo
🏴 teamLogoUrl	string	Official club crest, as an SVG URL
🕒 scrapedAt	string	ISO timestamp of collection
⚠️ error	string	null on a normal row

Example rows

{
  "imageUrl": "https://assets.bundesliga.com/player/dfl-obj-j00zz3-dfl-clu-00000g-dfl-sea-0001k9.png",
  "rank": 1,
  "player": "Harry Kane",
  "team": "FC Bayern München",
  "teamLogoUrl": "https://assets.bundesliga.com/clublogos/DFL-SEA-0001K9/DFL-CLU-00000G.svg",
  "playerId": "DFL-OBJ-J00ZZ3",
  "statCategory": "goals",
  "statValue": 36,
  "season": "DFL-SEA-0001K9",
  "scrapedAt": "2026-09-14T17:23:56.999Z",
  "error": null
}

{
  "imageUrl": "https://assets.bundesliga.com/player/dfl-obj-0027yk-dfl-clu-00000d-dfl-sea-0001k9.png",
  "rank": 2,
  "player": "Deniz Undav",
  "team": "VfB Stuttgart",
  "teamLogoUrl": "https://assets.bundesliga.com/clublogos/DFL-SEA-0001K9/DFL-CLU-00000D.svg",
  "playerId": "DFL-OBJ-0027YK",
  "statCategory": "goals",
  "statValue": 19,
  "season": "DFL-SEA-0001K9",
  "scrapedAt": "2026-09-14T17:23:57.101Z",
  "error": null
}

✨ Why choose this Actor

	What you get
The league's own numbers	Data comes from the official Bundesliga leaderboards, not from an aggregator.
No credentials	The pages are public. No key, no account, no scraping setup of your own.
19 categories, one schema	Every category returns the same 11 fields, so datasets append and join on playerId.
Past seasons included	Pass a season identifier and get that season's table instead of the current one.
You pay per row	No subscription. A run that returns nothing costs nothing.

🚀 How to use it

1. Create a free Apify account. New accounts start with $5 of credit.
2. Open the Actor and select Try for free.
3. Pick a statCategory.
4. Leave season empty for the current season, and set maxItems to cap the run.
5. Select Start, then export from the Dataset tab as CSV, Excel, JSON or XML.

A first run:

{
  "statCategory": "goals",
  "maxItems": 10
}

A past season, deeper into the table:

{
  "statCategory": "tackles",
  "season": "DFL-SEA-0001K8",
  "maxItems": 200
}

⚙️ Input

Field	Required	Description
statCategory	No	Which leaderboard to read. One of the 19 categories listed above. Default goals
season	No	Official season identifier, for example DFL-SEA-0001K8 for 2024/25. Empty means the current season
maxItems	No	How many players to collect per run. Free plan is capped at 10

💰 Pricing

Pay per result. No subscription, and no Apify platform usage on top.

Apify plan	Free	Bronze	Silver	Gold	Platinum	Diamond
Per player row	$0.0085	$0.00817	$0.00783	$0.0075	$0.0075	$0.0075

Rows collected	Cost on the Free plan
100	$0.85
1,000	$8.50
10,000	$85.00

Free plan runs return up to 10 rows as a preview. Any paid Apify plan lifts that to 1,000,000 per run.

🔌 Integrate with any app

The dataset is available through the Apify API as soon as the run finishes. Use run-sync-get-dataset-items for a one-shot call, webhooks to trigger what happens next, or the Make, Zapier, Airbyte and LangChain integrations listed on the Actor page.

🤖 Use with an AI agent

Give an agent live access to the leaderboards over the Model Context Protocol:

$claude mcp add --transport http apify "https://mcp.apify.com?tools=acquistion-automation/bundesliga-stats-scraper"

Then ask it in plain language for the top scorers this season and read the result back.

❓ Frequently asked questions

Can I get several categories in one run? No. One category per run. Run it once per category and join the datasets on playerId and season.

Does a row include the player's nationality, age or position? No. A row carries rank, player, club, the stat value, the season and the two image URLs. Nothing else is on the leaderboard.

What does statValue mean? Whatever the chosen category measures. Goals for goals, kilometres for distance, a percentage for passAccuracy.

How do I find a season identifier? It appears in the URL on bundesliga.com when you switch seasons, in the form DFL-SEA-0001K8. An identifier that does not exist returns an empty leaderboard rather than an error.

Why did I only get 10 rows? Free plan runs are capped at 10 as a preview. Any paid plan raises maxItems to 1,000,000.

What can I export? CSV, Excel, JSON and XML from the run page, or JSON straight from the API.

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About Acquisition Automation Co.

We build automation for people buying businesses. The repetitive part of an acquisition search, checking listings, pulling public records, tracking owners and assets, is work a machine should do, so the buyer's time goes into judging deals instead of collecting them.

We add new Actors regularly. If there is a source you need and do not see here, tell us.

🆘 Support

Open an issue in the Issues tab of this Actor with your run ID, the input you used, and what you expected to get back.

⚠️ Disclaimer

This Actor is independent and is not affiliated with, endorsed by, or sponsored by the Deutsche Fußball Liga, the Bundesliga or any club. It collects only publicly available data. You are responsible for using that data in compliance with the source's terms of service and applicable law.