Web data extraction refers to systematically extracting specific data from websites for information. Web extraction is most useful when you’re looking at extracting data for purposes of: price matching, product aggregation, brand monitoring, sentiment analysis, reputation management etc. A web extraction service is different from a product-based offering as it is customized to suit client specific requirements, and should be flexible enough to accommodate changes and normalizations to data in the pipeline.
Web extraction services such as PromptCloud ensure that the the client’s focus towards their core business is not affected as we take care of end-to-end data delivery along with monitoring for any structure changes in the source data that may happen over time. Proactively monitoring all aspects of the extraction pipeline is of utmost importance as around 40% of site structures change in just a month! Clearly, the web extraction service is responsible for taking care of all these changes so that the client can just go about doing their main business while the data partner ensures the quality of the data that it’s providing
Our Data extraction services include crawling and extracting information from the deep web. Our clients give us their requirements based on which we agree upon a data schema for data extraction and the delivery formats. The requirements also include the sites to be crawled and the records to be extracted. A record refers to a complete dataset along with the associated fields on the web pages such as meta tags, URLs, company names, office and home addresses, names, zip codes, reviews, product descriptions, etc. Once these are frozen, we run into a pilot to give our clients an idea of our web data extraction services and how our web data extraction software works to make sense out of varied information on the web.
PromptCloud provides web data extraction services that our clients use to crawl various platforms such as Twitter, eBay, Amazon, Blogs, Forums, Maps, other classified sites, job portals, e-commerce or information sites etc.