Opening odds values are displayed in a tooltip/popup in oddsportal website as you hover the mouse over the odds values, as shown below. So directly clicking and selecting the opening odds value from the popup does not work.
How to extract opening odds values for any bookmaker from oddsportal ?
Machine learning algorithms require large quantities of high quality data to learn. Data is required to train, test and validate machine learning models before they can be used for prediction. The success of a machine learning project depends heavily on the quality and quantity of data used for training and testing the model.
Public Data-sets for Machine Learning
For learning ML and playing around with various ML algorithms and libraries there are many public data-sets available. But for training-testing models which solves problems unique to your projects, the data required may not be available first-hand in public domain.
Web Scraping for collecting training/testing data
In such cases the required data might be already present online in structured format. Then, the technique of web scraping can be used to extract them to a spreadsheet or database.
For example, if your model learns from thousands of reviews/ratings provided by customers for various products in an eCommerce website or for various hotels/restaurants in sites like TripAdvisor, then this data can be easily fetched using web scraping. Or, if your model learns from real estate data of thousands of properties from various locations, then that too can be extracted by employing web scraping.
Using WebHarvy for easy web scraping
You can either write your own script/code to fetch data from multiple pages of various websites, or more easily, you can use a visual web scraping tool like WebHarvy to get the data which you need with the least effort in a more efficient way. In case you are interested, please follow the link below to know more.
Scraping high resolution product images from Amazon
The following video demonstrates 2 methods. The first method shows how multiple medium resolution images can be automatically extracted from the thumbnail images displayed besides the main product image. The second method shows how the original high resolution images can be extracted, but this involves some manual steps for repeating the same for multiple images.
If you are new to WebHarvy, then we highly recommend that you follow the link below to get familiarized with the general steps to be followed while using WebHarvy to extract data from any website.
WebHarvy is a visual web scraper with a point-click-select interface for easily extracting data from any website
Betting Odds for Sports Analytics
Getting sports betting odds values from multiple bookmaker and odds comparison websites like oddsportal is crucial for sports analytics and betting. Once you get the necessary odds values in table format, then processing/visualizing them for your requirement becomes quite easy.
WebHarvy can help you with extracting the required odds values like opening/closing odds for home/draw/away – Asian Handicap (AH), Over Under (O/U) etc. from various odds comparison websites like oddsportal, betexplorer, flashscore etc. We have demonstration videos in our YouTube channel explaining the steps to follow for extracting data as per various requirements from these websites.
Scraping odds from OddsPortal
Extracting bet365 home, draw, away odds of matches from various leagues from oddsportal website
Scraping Over/ Under values for Pinnacle from oddsportal.com
WebHarvy Settings involves various options which you can set for Miner, Browser, Proxies, Category/Keyword and Images. We have created the following video which explains the various settings and how each of them can affect the mining performance/consistency and provide additional functionality.
Websites can get details regarding your previous visits using cookies stored locally by the browser. A new Browser Settings option has been added to prevent this. WebHarvy will periodically delete browser cookies during mining when this option is enabled.
Transfer license to another machine
It is now possible to transfer your WebHarvy license from one PC/laptop to another. For details please refer this link.
Edit mining tasks in Windows Task Scheduler interface
For finer control over how a mining task should be triggered and how often it should be repeated, you can now edit WebHarvy mining tasks directly in Windows Task Scheduler interface.
License upgrades can now be purchased directly from the application, from Help menu > About or while trying to unlock the software
Prompts to save unsaved configurations
You may download and install the latest version from the following link:
Millions of records of property details are publicly available in real estate websites like Zillow, Realtor, Trulia etc., or in other online real estate websites specific to your country/region. If having a quick access to this data is vital to the success of your business, then you can use our software, WebHarvy, to easily extract data from these websites.
Property details like address, location, images etc. and building details like number of beds, baths, area etc. and contact details like owner/agent phone number, email etc. can be easily extracted using WebHarvy.
The following video shows how WebHarvy can be configured to extract property listing details from Zillow.
Property details from Realtor website can be extracted as shown in the following video.
Suppose that you have a list of property addresses in a spreadsheet and your requirement is to get property images corresponding to each of those addresses. What we need to do is take each of those addresses, submit it in the search form of property / real-estate websites like Zillow, open the best matching result and scrape the images displayed. Let’s see how this task can be automated using WebHarvy.
You must be aware that the latest updates (1809 and its re-release) released by Microsoft for Windows 10 caused issues for many users. Few of our customers reported application crash while trying to start up WebHarvy with these updates installed.
We have solved this issue in the latest update (184.108.40.206) of WebHarvy which you may download from our website.