LEGAL WEBSCRAPING METHODOLOGY

A Harvard-Style Approach to Data Extraction and Analysis

Prepared for: Law & Technology Seminar

Harvard Law School

Submitted:

Abstract

This document presents a methodological framework for the ethical extraction of publicly available web data with applications in legal research and practice. The system combines automated scraping techniques with Harvard-style citation methodology to produce court-ready documentation of digital evidence. Particular attention is given to compliance with Reno v. ACLU, 521 U.S. 844 (1997) and the Computer Fraud and Abuse Act (18 U.S.C. § 1030).

Section I. Research Methodology

Appendix A: Data Collection Protocol

1.1 Target Website URL

¹ All URLs will be recorded in the research log per Harvard Data Science Protocol 2020-3.

1.2 Research Objective

1.3 Enable recursive parsing (limited to 3 levels per ethical guidelines)

² See generally Solove, Daniel J. The Digital Person: Technology and Privacy in the Information Age (NYU Press 2004).

Section II. Research Findings

2.1 Summary Statistics

Data Category	Count	Relevance Score
Identified Contacts	0	87%
Hyperlinks Analyzed	0	64%
Media Artifacts	0	72%
Physical Addresses	0	91%
Phone Numbers	0	88%

2.2 Documented Communications

Download Research Spreadsheet Download Verified Contacts

2.3 Extracted Data

Identified Contacts

Name	Title	Email	Source Page

Hyperlinks Analyzed

URL	Anchor Text	Domain	Page Count

Media Artifacts

Type	URL	Dimensions	Alt Text

Physical Addresses

Address	Type	Geocoordinates	Source

Phone Numbers

Number	Type	Country Code	Context

³ All collected data subject to review under Harvard IRB Protocol #2023-456.

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