2nd collection of recipes. In it, we see an example of parsing Instagram, check the new ability to output statistics and learn how to make custom parsers of suggestions. Parsing Instagram Instagram is currently one of the most popular application for sharing photos with elements of social networking (in the autumn of 2015 the audience exceeded 400 million users). Such popularity is making the service attractive for parsing in order to obtain a variety of information. How to parse Instagram via A-Parser - at the link above. Statistics of the parsing results Starting from version 1.1.336 A-Parser have an opportunity to conduct and process the statistics of parsing ,thanks to the support a template engine in Prepend and Append texts. Now in output can count the number of links to each domain, the number of subdomains for each domain, the frequency of each subdomain; get lists of domains that have a subdomain, and more ... An example is shown at the link above. How to make your own parser of suggestions? In the A-Parser already exist parsers of suggests for Google, Yandex, AOL, Bing and Yahoo. But there are other services that also give suggests. About how to make your own parser of suggestions and examples for Baidu, DuckDuckGo and GooglePlay, see at the link above. Previous collections Collection of recipes #1: determine the CMS, check availability of mobile version and collect emails
