The legal boundary of data scraping*

Wei Liu & Liyang Hou

Queen Mary Journal of Intellectual Property2025https://doi.org/10.4337/qmjip.2025.02.04article
ABDC B
Weight
0.50

What the paper says

The standard for determining the legitimacy of data scraping is vague, and the existing literature is insufficient. Jurisdictions around the world have come up with two predominant enforcement patterns, namely, the behaviour pattern and the entitlement pattern. The co-existence of the two incompatible patterns has led to conflicting judgments in China and compromised the first-mover advantage of data innovation. The behaviour pattern, despite its flaws, is more suitable for China than the entitlement pattern and should be set as the basis for future improvement. In particular, such a pattern can be modified based on the lessons learned from the entitlement pattern. A normative reconstruction of the analytical framework suggests that the standards for evaluating data scraping shall incorporate the value of datasets, the technical measures of datasets and the substantial substitution effect of the acquisition.

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https://doi.org/https://doi.org/10.4337/qmjip.2025.02.04

Or copy a formatted citation

@article{wei2025,
  title        = {{The legal boundary of data scraping*}},
  author       = {Wei Liu & Liyang Hou},
  journal      = {Queen Mary Journal of Intellectual Property},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.4337/qmjip.2025.02.04},
}

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The legal boundary of data scraping*

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.