During web data extraction, you might sometimes require to split textual data, or extract only a portion of the selected text. Following are 2 scenarios: Split the address string to street, city, state and zip Extract details like price, order number, phone, email etc. from a string In such cases, you can use the ‘Capture
You can use Google Translate to translate a web page to another language and then use WebHarvy to scrape the translated content. For this, you will first need to translate the page using Google Translate’s web interface, find the translated page frame URL and then load it within WebHarvy. The video below demonstrates the process.
WebHarvy can be used scrape sports betting odds from various websites like Oddsportal, BetExplorer etc. The following videos shows how WebHarvy can be configured to extract odds from NowGoal website. Scraping odds from NowGoal If you are new to WebHarvy and are looking for an easy way to extract data from websites we recommend that you follow
The Multi Level Category Scraping feature of WebHarvy allows you to scrape product listings from an entire website, listed under various categories and sub-categories, using a simple and single configuration. The following video demonstrates the process. For more category scraping demonstration videos for various websites please refer the following link. WebHarvy Category Scraping Screen-casts for
Websites may sometimes block your IP if you continuously try to extract data from them using automated methods. To avoid getting blocked and also to overcome an IP block you can use Proxy Servers during web scraping. See how proxy servers can be setup within WebHarvy The following video explains in general how to extract