Daily Bet Prediction Scraper

Bet Prediction Scraper

Bet Prediction Scraper is developed to fetch and combine betting predictions from 9 distinguished betting websites. The primary objective is to enhance and streamline betting predictions' accuracy by incorporating data from multiple sources. At present, the scraper functions on the following sites:

• 1960Tips
• Forebet
• MeritPredict
• Predictz
• SaferTip
• StakeGains
• StatArea
• VictorsPredict
• WinDrawWin

These websites are well-known for their soccer betting predictions. However, predictions from each site can vary, sometimes causing uncertainty. The Bet Prediction Scraper works to mitigate this uncertainty by merging these predictions, ordering them from the most common to the least common across the sites.

Cost Estimation for Scraping

When it comes to scraping, it can be challenging to estimate the resources needed to extract data as use cases may vary significantly. That's why the best course of action is to run a test scrape with a small sample of input data and limited output. You’ll get your price per scrape, which you’ll then multiply by the number of scrapes you intend to do.

Watch this video for a few helpful tips. And don't forget that choosing a higher plan will save you money in the long run.

Legality of Scraping

Our scrapers are ethical and do not extract any private user data, such as email addresses, gender, or location. They only extract what the user has chosen to share publicly. We therefore believe that our scrapers, when used for ethical purposes by Bet Prediction Scraper users, are safe. However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers. You can also read this Apify blog post on the legality of web scraping.

Input

Bet Prediction Scraper does not require any specific input from the user, as it is pre-programmed to scrape football data from the aforementioned websites.

Output

The dataset extracted by Bet Prediction Scraper can be downloaded in various formats such as JSON, HTML, CSV, or Excel. The output for each website's match predictions will include details such as the teams playing, the type of bet (e.g., match result, both teams to score), and the specific prediction (e.g., Team A to win, yes for both teams to score). Furthermore, each prediction will provide information about how many of the ten sites shared that particular prediction, enabling users to easily identify the most agreed-upon predictions.

Here is an example of the output:

1[
2  {
3    event_name: 'Pogon Szczecin - Linfield',
4    bet_choice: '1',
5    bet_odds: '1.32',
6    number: 5,
7    names: '1960Tips, MeritPredict, predictz, statarea, windrawwin'
8  },
9{
10    event_name: 'KuPS - Derry City',
11    bet_choice: 'X',
12    bet_odds: '3.20',
13    number: 4,
14    names: 'forebet, predictz, victorspredict, windrawwin'
15  },
16  {
17    event_name: 'Petrocub - Maccabi Tel Aviv',
18    bet_choice: '2',
19    bet_odds: '1.42',
20    number: 4,
21    names: '1960Tips, predictz, statarea, windrawwin'
22  },
23  {
24    event_name: 'Maribor - Differdange',
25    bet_choice: '1',
26    bet_odds: '1.38',
27    number: 4,
28    names: 'Forebet, Meritpredict, predictz, windrawwin'
29  },
30]

Disclaimer

While Bet Prediction Scraper strives to increase prediction accuracy, it's important to remember that betting always carries a risk, and outcomes cannot be guaranteed. Always bet responsibly.