Websites often display lists, tables or repetitive structures like job search results or real-estate listings. One thing that webSlinger excels at is extracting such data in just a few clicks. Right-click on an instance of the array, check the boxes corresponding to the data you want, and click Record. The array is extracted with field names matched to your goals or semantically discerned.
What array-like data would you like to extract from a site?
This was helpful to automate gathering stats for my book rankings on a regular basis plus other numbers I like to use to monitor my book launches and sales.
@docmisty I'm glad it was useful for you. Scraping data from Amazon is one thing webSlinger is really good at. From book statistics to invoice detail to search results. With the array extraction capability you can get the information on say the orders page (purchase date, total price, ship-to address, order number and the link to the invoice detail page). Then webSlinger can visit each invoice detail page and extract all the items in the order with their descriptions and prices, the total invoice cost (which can be different from the order price). the payment method, and delivery dates. webSlinger then integrates the invoice detail with the order data from the orders page in a clean .json output. Very cool.