product feed extraction and crawling service
can be used as the go-to data source to feed price comparison engines, shopping sites and more. Data delivered is comprehensive product data from deep websites.
Many sites have data sources that are structured but some sources are hidden in the deep web. Amazon is a great example of a deep website. Here, query is entered as text in search box and results narrowed by adjusting filters. Once desired products are displayed, product details like prices, model numbers etc. embedded in HTML are accessible. Amazon database is structured yet hidden webpages remain behind forms.
Our expertise is reaching behind these webpages to crawl and extract product-relevant details which you may desire.
This is done by programming special crawlers that parse HTML to retrieve data in structured file format (XML/CSV/JSON).
Data such as Product title, cost, description, details, availability/shipping info, product code, rating, reviews etc. is successfully extracted; including data that is spread over multiple pages.
The advantage with PromptCloud’s site-specific scraping is that there is no limit to the amount of data which can be extracted. Ours is a cost-effective scale-able model, where configuring crawlers is fairly easy. PromptCloud services are tailor-made for practical e-commerce solutions. Our data solutions make it easy and convenient for use-cases as varied as comparison shopping engines (CSEs) and even mobile-commerce.
Through our scraping and extraction services we help build product-focused sites by providing product data feed. A data feed can be thought of as a sheet of all products, where every product is a row and columns stand for attributes (or fields) of that product. Attributes include name, landing age, price, image, source URL etc. This is the data that interests those looking to build shopping comparison sites.