# Rousillon: Scraping Distributed Hierarchical Web Data

Introduces Rousillon, which generalizes a demonstration of collecting one hierarchical data row into a browser-automation program that traverses related pages. The paper develops relation-selection and generalization methods and evaluates users building such scripts.

- Catalog URL: https://awesomecua.github.io/resources/url-97c0b1896525632434e2/
- Original source: https://doi.org/10.1145/3242587.3242661
- Kind: paper
- Review: curated
- Scope: core
- Environments: web
- Topics: web-navigation, recording, automation
- Evidence checked: 2026-10-17T09:55:12Z
- ID: url:97c0b1896525632434e2

## Limitations

The annotation was reviewed against retained primary publication sources. Experiments have not been independently reproduced. This is browser interaction learned from demonstrations, rather than a generic server-side crawling library.

- Record JSON: https://awesomecua.github.io/resources/url-97c0b1896525632434e2/record.json

## Authors

Sarah E. Chasins, Maria Mueller, Rastislav Bodik

## Citation exports

- BibTeX: https://awesomecua.github.io/resources/url-97c0b1896525632434e2/citation.bib
- CSL JSON: https://awesomecua.github.io/resources/url-97c0b1896525632434e2/citation.csl.json

## Publication record

- Title: Rousillon: Scraping Distributed Hierarchical Web Data
- Authors: Sarah E. Chasins, Maria Mueller, Rastislav Bodik
- Publication date (recorded precision): 2018
- Publication source: https://doi.org/10.1145/3242587.3242661
- Publication BibTeX: https://awesomecua.github.io/resources/url-97c0b1896525632434e2/publication-citation.bib
- Publication CSL JSON: https://awesomecua.github.io/resources/url-97c0b1896525632434e2/publication-citation.csl.json
- venue: Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology
- doi: 10.1145/3242587.3242661
- date basis: Supplied year precision: 2018. Rousillon entry: UIST 2018
- identity basis: No same-work record located in the full active catalog. Similarity screening was not used as automatic identity approval. The raw archive and exclusions are additionally checked during normalization.
- notes: This is browser interaction learned from demonstrations, rather than a generic server-side crawling library. Final proceedings page range and volume are not established. Manuscript pages 1-13 are not substituted for publisher pagination. Exact publication month/day is not inferred from conference dates.
- Publication evidence: https://schasins.com/papers/, https://schasins.com/assets/papers/rousillon.pdf

## License declarations

- code: not recorded
- data: not recorded
- document: not recorded
- weights: not recorded

## Primary evidence

- https://schasins.com/papers/ (retrieved 2026-10-17T09:57:38Z; SHA-256 6b7e584bb3862e0de51ca164d0f311c2a853e97bd63d56658ce62f0b49d86557)
- https://schasins.com/assets/papers/rousillon.pdf (retrieved 2026-10-17T09:55:12Z; SHA-256 764dd1f5fe1db398188f403b4b1f6e3658e3238e4d8aac9ceed360dcad87e818)
- https://schasins.com/assets/papers/rousillon.pdf (retrieved 2026-10-17T09:55:12Z; SHA-256 764dd1f5fe1db398188f403b4b1f6e3658e3238e4d8aac9ceed360dcad87e818)
- https://schasins.com/papers/ (retrieved 2026-10-17T09:57:38Z; SHA-256 6b7e584bb3862e0de51ca164d0f311c2a853e97bd63d56658ce62f0b49d86557)