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Player Career xG History Scraper (Understat)

Scrape a footballer's full multi-season career from Understat — every team, season, xG, xA, npxG and xGChain in one run for trajectory analysis.

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Understat xG & Shot Data - Football Analytics
Understat xG & Shot Data - Football Analyticsconstructive_calm/understat-football-analytics
PlayerID
Player
Season
Team
+9 fields
Text
Number
Boolean
List
Object

Input

Scraping mode(required):player_career
Player IDs:1250

Output fields

PlayerID
Player
Season
Team
Pos
Apps
G
A
xG
xA
npxG
xGChain
xGBuildup

How it works

Sign up on Apify or log in

The Understat xG & Shot Data - Football Analytics Actor is ready to run with the inputs already set for "Player Career xG History Scraper (Understat)". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Player Career xG History Scraper (Understat)" task

The Understat xG & Shot Data - Football Analytics Actor will start running based on the input automatically. You can also change all the input fields, like scraping mode and player ids, to match your specific use case.

Receive the "Player Career xG History Scraper (Understat)" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as playerid, player, season, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Player Career xG History Scraper (Understat)" task via API.

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Integrate "Player Career xG History Scraper (Understat)" into your workflow

Connect "Player Career xG History Scraper (Understat)" with 100+ integrations, or run it via API or MCP.

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