Adaptive data collection optimization

A system for increasing a quality of data extraction by a service provider infrastructure, the system comprising:

• a processor;
• an extractor, operable with the processor to generate feedback data based on a classification decision received from a block detector, wherein the feedback data comprises information regarding an effectiveness of a set of parameters in executing a previous data collection request;
• a valuation unit, operable with the processor to:
• receive a scraping request to a target domain from a user device via a network;
• collect a set of scraping request parameters to execute the scraping request;
• initiate a process of identifying and selecting the set of the scraping request parameters, with the set comprising either a full set, which includes an entirety of the scraping request parameters, or a partial set, which includes less than the entirety of the scraping request parameters, wherein, the selecting of the set of the scraping request parameters is done by applying a machine learning algorithm;
• select a proxy server serving the set of the scraping request parameters;
• use the set of the scraping request parameters and the selected proxy server to implement the scraping request to the target domain;
• and,
• receive from the target domain through the proxy server, response data to the scraping request.