How to scrape football live scores?

Web Scraping live match scores from websites like Flashscore, Sofascore, Oddsportal, WhoScored, and others offers a multitude of benefits to sports fans, analysts, and researchers alike. It provides real-time updates, enables comprehensive data analysis, allows for customized notifications and alerts, and enhances fan engagement.

In this article we will learn how WebHarvy can be used to scrape live scores from various sports analytics and betting websites. WebHarvy is a visual web scraping software which can be used to scrape data from any website. You can download and install WebHarvy in your computer.

WebHarvy’s user interface is similar to a normal web browser like Chrome or Edge, the difference is that WebHarvy allows you to select data from websites and automates the process of extracting structured data from multiple listings and pages within the website.

Scraping Live Scores using WebHarvy

To scrape live match scores using WebHarvy, open WebHarvy and load the web page displaying live scores of the matches which you are interested in. Click the ‘Start Configuration’ button and start selecting data. You can click on any data item displayed on the page to select it for extraction. Once you have finished selecting all required data, click the ‘Stop Configuration’ button.

Scraping football live scores

The following video shows how WebHarvy can be used to scrape football live scores, winning odds, line up etc. from Sofascore website.

In addition to scraping scores, the above video shows how other data like winning odds, team line up etc. can be scraped from all live matches. The code used in the video for pagination can be found in the video description.

Football Live Score Scraping from

Video below shows how live match scores can be scraped from website. In addition to scraping scores, the video also shows how the match event time line can also be scraped.

OddsPortal Live Score Scraping

Video shown below demonstrates how football live scores from OddsPortal can be scraped.

Try WebHarvy

We recommend that you download and try using the free evaluation version of WebHarvy available in our website. To get started, please follow the link given below.

Getting Started with WebHarvy


If you have any questions please feel free to reach out to our support