his article delves into the intricacies of hidden services on the Tor darknet, with a focus on their indexing and deanonymization. It details a sophisticated system that compiles hidden service addresses through darknet scrapping and analyses service characteristics using tools like Shodan browser. The system employs various strategies, including using Onion Proxies, Crawler.c, and the OnionQuery.py script for data extraction. It also explores the challenges in collecting hidden service addresses and suggests solutions, such as the creation of an Onion Router within the Tor network. The article highlights the use of metadata for indexing, deanonymization and analysis in categorizing hidden services according to their content. Technologies like BeautifulSoup, NLTK, and lang detect are utilized for language and content processing. The study also covers the deanonymization of hidden services, the categorization of these services, and the anonymity features of cryptocurrencies like Monero and Zcash, comparing them with the limitations of the Bitcoin cryptocurrency.