Web scraping for research: Legal, ethical, institutional, and scientific considerations

Scientists across disciplines often use data from the internet to conduct research, generating valuable insights about human behavior. However, as generative artificial intelligence relying on massive text corpora becomes increasingly valuable, platforms have greatly restricted access to data through official channels. As a result, researchers will likely engage in more web scraping to collect data, introducing new challenges and concerns for researchers. This paper proposes a comprehensive framework for web scraping in social science research for U.S.-based researchers, examining the legal, ethical, institutional, and scientific factors that we recommend researchers consider when scraping the web. We present an overview of the current regulatory environment impacting when and how researchers can access, collect, store, and share data via scraping. We then provide researchers with recommendations to conduct scraping in a scientifically legitimate and ethical manner. We aim to equip researchers with the relevant information to mitigate risks and maximize the impact of their research amid this evolving data access landscape.

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Publication Details

Journal
Big Data & Society
Published
2025-11-20
DOI
https://doi.org/10.1177/20539517251381686
Citations
6
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
19.48
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Web scraping for research: Legal, ethical, institutional, and scientific considerations

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6 citations
Big Data & Society
Research Data Management Practices
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article

Web scraping for research: Legal, ethical, institutional, and scientific considerations

Michael Zimmer, Zeve Sanderson, Solomon Messing, Megan A. Brown, Andrew Gruen, Gabe Maldoff
article en
6 citations

Abstract

Scientists across disciplines often use data from the internet to conduct research, generating valuable insights about human behavior. However, as generative artificial intelligence relying on massive text corpora becomes increasingly valuable, platforms have greatly restricted access to data through official channels. As a result, researchers will likely engage in more web scraping to collect data, introducing new challenges and concerns for researchers. This paper proposes a comprehensive framework for web scraping in social science research for U.S.-based researchers, examining the legal, ethical, institutional, and scientific factors that we recommend researchers consider when scraping the web. We present an overview of the current regulatory environment impacting when and how researchers can access, collect, store, and share data via scraping. We then provide researchers with recommendations to conduct scraping in a scientifically legitimate and ethical manner. We aim to equip researchers with the relevant information to mitigate risks and maximize the impact of their research amid this evolving data access landscape.

Big Data & SocietyVol. 12(4)
Marquette University (US), International Paper (United States) (US), University of Michigan (US), University of Maine School of Law (US), New York University (US), University of Maine (US)
Openalex Percentile: Top 1%
Research Data Management Practices
19.48
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