How to scrape

Natasha Lekh
Natasha Lekh

If your goal is to collect basic sports data, an official website of every league should be a good first step for this venture. However, these days, many unofficial sports data aggregators created by sports enthusiasts contain terabytes of accurate and telling data, and from various sources. Data that can be used for news, betting tactics, football analysis, and plain sporting interest.

Why scrape SoccerSTATS? is one of those websites. This sports news aggregator provides soccer fans with historical data on soccer matches, teams, and competitions of global, local, and even amateur scale. It's an open field for gathering data analytics on team performance home and away, scoring, league table with standings, goal timings, and more. Now imagine the process of getting all that information - be it from the official sources or sports data aggregators like SoccerSTATS. It would surely require a significant amount of copypasting and time. This is what programs like our SoccerSTATS Scraper are created for: simplifying the process of data extraction and making sports data collection a matter of minutes.

What about official leagues' APIs?

Now, some league’s websites such as the Premier league currently allow scraping of their pages containing historical data on league standings, at least to some extent. You can easily level up the extracted data from official sports news sources to advanced-level football statistics. How? This can be done by scraping other football websites in parallel containing more data on top goal scorers, overall team performance, statistical previews, etc.

How can you use all that combined sports data? As different media rely heavily on timely sports news insights, they can benefit from the speed and agility that scrapers like SoccerSTATS Scraper provide. A good sports scraper can help to keep track of every team, every match throughout the entire season, and never miss an important story. More and more businesses are relying on their scrapers to support their business decisions and perform in-depth analysis, you can see a more extensive list of hands-on examples in our industry pages.

Let's look at more ways to use soccer stats data.

How to use a football dataset from

  • Monitor this and other soccer-related websites simultaneously and combine extracted data.
  • Quickly collect the sports data from the current and previous season and apply the insights in sports journalism.
  • Create your own soccer stats database for customized sports analysis dashboards, better sports insights, etc.
  • Gather basic sports data about team performance and create a flexible sports analytics dataset.
  • Accumulate the experience of past games needed for building accurate sports results forecasts.
  • Create a betting system with prediction algorithms supported by data, not guesstimations.

The list of the examples is not full, since the use of web scraping has skyrocketed over the years due to the ever-increasing volumes of web data created, shared, and archived. The core promise of this technology is no more manual data collection - and that you can get your results within minutes. Now let's see how to tune our fast and free-to-try Scraper to your needs.

Step-by-step guide to scraping

  1. Kick off by heading over to the website. Find the Solutions tab on the top and choose the Apify Store button.
Head over to the Apify Store
Head over to the Apify Store

2. Type in Soccer into the Search bar and click on the dropdown list line once it appears. This will redirect you onto this scraper’s own page.

3. Once you’re on the Scraper page (which will look like this) click the green Try for free button.

Our Scraper is free to try
Our Scraper is free to try

4. Log in or sign up for free using your email, Gmail, or Github.

Apify login page
Apify login page

5. Once you do that, you’ll be redirected to your Apify Console. You can consider it the workspace for your SoccerSTATS Scraper and other scrapers and actors.

Your workspace to run different Actors. Most of them are free to try
Your workspace to run different scrapers. Most of them are free to try.

6. Notice that a new Task for the SoccerSTATS Scraper was created automatically. But it won’t start running until you define what exactly you want to scrape from SoccerSTATS.

A new Task with fields half-filled in
A new Task with fields partially filled in

7. Let’s assume you want to scrape the schedule for the whole current season for the Italian and Spanish leagues. This goal can be broken down into 3 input parameters: pick Season Schedule as the InformationType, Add Italy and Spain as the selected leagues, and indicate the 2021-2022 Season below.

Input parameters for scraping the season schedule for Italy and Spain, 2021-2022
Feel free to replicate these input parameters

8. Hit the green Run button, once you’re all set with the required and optional parameters.

9. Notice that your task has changed its status to Running, so wait for the actor’s run to finish. It will be just a minute till you see the status change into Succeeded.

SoccerSTATS Scraper searching the website and extracting required data
SoccerSTATS Scraper searching the website and extracting data

10. You can see that the Italian-Spanish league scraping task has delivered us 760 results in total. Let’s see what they look like.

SoccerSTATS Scraper delivered 760 results in less than a minute
SoccerSTATS Scraper delivered 760 results in less than a minute

11. Now move from the Log to the Dataset tab to see the results of your football stats scraping.

See your results in various formats in the Dataset tab
See your results in various formats in the Dataset tab

12. Explore the Dataset tab containing your scraped data in lots of formats, including HTML table, JSON, CSV, Excel, XML, and RSS feed. You can choose to upload it onto your computer for further use as spreadsheets, or in other apps and your own projects.

13. Preview the data before downloading it by clicking the preview button.

Data previews in HTML and JSON
Data previews in HTML and JSON

14. The scraper has other customizable input parameters and we will be adding more of those in the future. Email us at if you have any suggestions or questions.

You can also check out our other sport-specific scraper, Transfermarkt Scraper, and see how that one works for you - that one is even simpler to use. Happy scraping and best of luck!

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