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Python Scrapers for Scraping Cryptomarkets on Tor
EBCS Proceedings
  • Yubao Wu, Georgia State University
  • Fengpan Zhao, Georgia State University
  • Xucan Chen, Georgia State University
  • Pavel Skums, Georgia State University
  • Eric L Sevigny, Georgia State University
  • David Maimon, Georgia State University
  • Marie Ouellet, Georgia State University
  • Monica Swahn, Georgia State University
  • Sheryl M Strasser, Georgia State University
  • Mohammed Javad Feizollahi, Georgia State University
  • Youfang Zhang, Georgia State University
  • Gunjan Sekhon, Georgia State University
Document Type
Conference Proceeding
Publication Date
1-1-2019
Abstract

Cryptomarkets are commercial websites on the web that operate via darknet, a portion of the Internet that limits the ability to trace users’ identity. Cryptomarkets have facilitated illicit product trading and transformed the methods used for illicit product transactions. The survellience and understanding of cryptomarkets is critical for law enforcement and public health. In this paper, we design and implement Python scrapers for scraping cryptomarkets. The design of the scraper system is described with details and the source code of the scrapers is shared with the public.

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For a copy of the paper, please email Yubao Wu (ywu28@gsu.edu)

Citation Information
Wu Y. et al. 2019. Python Scrapers for Scraping Cryptomarkets on Tor. In: Wang G., Feng J., Bhuiyan M., Lu R. (eds) Security, Privacy, and Anonymity in Computation, Communication, and Storage. SpaCCS 2019. Lecture Notes in Computer Science, vol 11611. Springer, Cham