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WhoScored is a popular football website that provides live scores, match results and player ratings from the top football leagues and competitions.

In this tutorial, we are going to show you how to scrape player info from WhoScored with the help of Octoparse.

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To follow through, you may want to use this URL in the tutorial:

https://www.whoscored.com/Regions/31/Tournaments/95/Seasons/8984/Stages/20566/PlayerStatistics/Brazil-Brasileir%C3%A3o-2022

Here are the main steps in this tutorial: [Download task file here]

  1. Enter the URL on the home page - to open the target page

  2. Start auto-detection - to generate a workflow

  3. Run the task - to get the desired data

1. Enter the URL on the home page - to open the target page

  • Enter the target url into the search box at the center of the home screen

  • Click Start to create a new task in Advanced Mode

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2. Start auto-detection - to generate a workflow

Octoparse's internal auto-detect function can help to automatically generate a workflow quickly. Further modifications can be made based on this.

  • Click on Auto-detect web page data and wait for the detection to complete

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  • Untick Add a page scroll

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  • Check the data fields in Data Preview and delete unwanted data or rename them if needed

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  • Click Create workflow

The workflow would then be generated as below:

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3. Run the task - to get the desired data

  • Click the Save button first to save all the settings you have made

  • Then click Run to run your task either locally or cloudly

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  • Select Run on your device and click Run Now to run the task on your local device

  • Waiting for the task to complete

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Below is a sample data run from the local. Excel, CSV, HTML, and JSON formats are available for export.

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Tip: Local runs are great for quick runs and small amounts of data. If you are dealing with more complicated tasks or mass of data, Run in the Cloud is recommended for higher speed. You are very welcome to try the premium feature by signing up for the 14-day free trial here. Tasks can be scheduled hourly, daily, or weekly and data delivered regularly.

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