ScrapeViz: Hierarchical Representations for Web Scraping Macros

Programming-by-demonstration (PBD) makes it possible to create web scraping macros without writing code. However, it can still be challenging for users to understand the exact scraping behavior that is inferred and to verify that the scraped data is correct, especially when scraping occurs across multiple pages. We present ScrapeViz, a new PBD tool for authoring and visualizing hierarchical web scraping macros. ScrapeViz’s key novelty is in providing a visual representation of web scraping macros-the sequences of pages visited, generalized scraping behavior across similar pages, and data provenance. We conducted a lab study with 12 participants comparing ScrapeViz to the existing web scraping tool Rousillon and saw that participants found ScrapeViz helpful for understanding high-level scraping behavior, tracing the source of scraped data, identifying anomalies, and validating macros while authoring.

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Publication Details

Published
2024-09-02
DOI
https://doi.org/10.1109/vl/hcc60511.2024.00040
Citations
2
Primary Topic
Web Data Mining and Analysis
Type
article
Field-Weighted Citation Impact
1.56
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article

ScrapeViz: Hierarchical Representations for Web Scraping Macros

Rebecca Krosnick, Steve Oney
2 citations
Web Data Mining and Analysis
1.56
article

ScrapeViz: Hierarchical Representations for Web Scraping Macros

Rebecca Krosnick, Steve Oney
article en
2 citations

Abstract

Programming-by-demonstration (PBD) makes it possible to create web scraping macros without writing code. However, it can still be challenging for users to understand the exact scraping behavior that is inferred and to verify that the scraped data is correct, especially when scraping occurs across multiple pages. We present ScrapeViz, a new PBD tool for authoring and visualizing hierarchical web scraping macros. ScrapeViz’s key novelty is in providing a visual representation of web scraping macros-the sequences of pages visited, generalized scraping behavior across similar pages, and data provenance. We conducted a lab study with 12 participants comparing ScrapeViz to the existing web scraping tool Rousillon and saw that participants found ScrapeViz helpful for understanding high-level scraping behavior, tracing the source of scraped data, identifying anomalies, and validating macros while authoring.

University of Michigan (US)
Openalex Percentile: Top 12%
Web Data Mining and Analysis
1.56
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