Talk:Contact scraping

Wiki Education Foundation-supported course assignment
This article was the subject of a Wiki Education Foundation-supported course assignment, between 19 September 2020 and 19 December 2020. Further details are available on the course page. Student editor(s): Moonstar0619. Peer reviewers: Eddyd101, Quackdon, IntheHeartofTexas, Tinayyt, Niangao, MaryJane404, Imakespaghetti29, Panacotta101, Sfwarriors99.

Above undated message substituted from Template:Dashboard.wikiedu.org assignment by PrimeBOT (talk) 18:23, 16 January 2022 (UTC)

Non-notable neologism
I removed the proposed deletion tag added by Oscarthecat and replaced it with a request for expansion. Admittedly the article is lacking, but it's also only a few days old. I read the term in the New York Times and a quick Google search shows a number of references to it. Perhaps we can give it some time and see if the article is expanded Ucanlookitup (talk) 10:43, 3 July 2009 (UTC)

I'm working on adding content to this Wikipedia article. Below is a list of peer reviewed journal articles that I plan to cite.

1. Symbiotic Relationships: Pragmatic Acceptance of Data Scraping

Jeffrey Kenneth Hirschey. 2014. “Symbiotic Relationships: Pragmatic Acceptance of Data Scraping.” Berkeley Technology Law Journal 29: 897-927.

2. A Novel Web Scraping Approach Using the Additional Information Obtained From Web Pages

Uzun, E. 2020. “A Novel Web Scraping Approach Using the Additional Information Obtained From Web Pages.” IEEE Access, Access, IEEE 8 : 61726–40.

3. Liability for Data Scraping Prohibitions under the Refusal to Deal Doctrine: An Incremental Step toward More Robust Sherman Act Enforcement.

Drivas, Ioannis. 2019. “Liability for Data Scraping Prohibitions under the Refusal to Deal Doctrine: An Incremental Step toward More Robust Sherman Act Enforcement.” University of Chicago Law Review 86 (7): 1901–40

4. The Demise of the Cfaa in Data Scraping Cases

Christensen, Jennie E. 2020. “The Demise of the Cfaa in Data Scraping Cases.” Notre Dame Journal of Law, Ethics & Public Policy 34 (2): 529-47.

5. Monitoring e-commerce adoption from online data

Blazquez, Desamparados, Josep Domenech, Jose A. Gil, and Ana Pont. 2019. “Monitoring E-Commerce Adoption from Online Data.” Knowledge and Information Systems: An International Journal 60 (1): 227-45.

6. Increasing online shop revenues with web scraping: a case study for the wine sector

Jorge, Oriol, Adria Pons, Josep Rius, Carla Vintro, Jordi Mateo, and Jordi Vilaplana. 2020. “Increasing Online Shop Revenues with Web Scraping: A Case Study for the Wine Sector.” British Food Journal.

7. Embedding Content or Interring Copyright: Does the Internet Need the “Server Rule”?

Ginsburg, Jane C., and Luke Ali Budiardjo. 2019. “Embedding Content or Interring Copyright: Does the Internet Need the ‘Server Rule’?” Columbia Journal of Law & the Arts 42 (4): 417–77.

8. A primer on theory-driven web scraping: Automatic extraction of big data from the Internet for use in psychological research.

Landers, Richard N., Robert C. Brusso, Katelyn J. Cavanaugh, and Andrew B. Collmus. 2016. “A Primer on Theory-Driven Web Scraping: Automatic Extraction of Big Data from the Internet for Use in Psychological Research.” Psychological Methods 21 (4): 475–92.

9. Scraping the demos. Digitalization, web scraping and the democratic project

Ulbricht, Lena. 2020. “Scraping the demos. Digitalization, web scraping and the democratic project.”Democratization.27 (3): 426-42.

10. Strategies to access web-enabled urban spatial data for socioeconomic research using R functions

Vallone, Andrés, Coro Chasco, and Beatriz Sánchez. 2020. “Strategies to Access Web-Enabled Urban Spatial Data for Socioeconomic Research Using R Functions.” Journal of Geographical Systems: Spatial Theory, Models, Methods, and Data 22 (2): 217-34.

11. Gather-Narrow-Extract: A Framework for Studying Local Policy Variation Using Web-Scraping and Natural Language Processing

Anglin, Kylie L. 2019. “Gather-Narrow-Extract: A Framework for Studying Local Policy Variation Using Web-Scraping and Natural Language Processing.” Journal of Research on Educational Effectiveness 12 (4): 685–706.

12. Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining.

Selig, Katharina. 2017. “Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining.” Biometrics 73 (4): 1469-96.

13. Web scraping techniques to collect data on consumer electronics and airfares for Italian HICP compilation.

Polidoro, Federico, Riccardo Giannini, Rosanna Lo Conte, Stefano Mosca, and Francesca Rossetti. 2015. “Web Scraping Techniques to Collect Data on Consumer Electronics and Airfares for Italian HICP Compilation.” Statistical Journal of the IAOS 31 (2): 165–86.

14. A dive into Web Scraper world

Mahto, Deepak Kumar, and Lisha Singh. 2016. “A Dive into Web Scraper World.” 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom), Computing for Sustainable Global Development (INDIACom), 2016 3rd International Conference On, 679–93.

15. Developing a Web Scraping Application with Bypass Blocking

Alexey A. Moskalenko, Olga R. Laponina, and Vladimir A. Sukhomlin. 2019. “Developing a Web Scraping Application with Bypass Blocking.” Sovremennye Informacionnye Tehnologii i IT-Obrazovanie 25 (2): 413–30.

16. Increased information retrieval capabilities on e-commerce websites using scraping techniques

Kurniawati, Deborah, and Deny Triawan. 2017. “Increased Information Retrieval Capabilities on E-Commerce Websites Using Scraping Techniques.” 2017 International Conference on Sustainable Information Engineering and Technology (SIET), Sustainable Information Engineering and Technology (SIET), 2017 International Conference On, 206–29.

17. ProCircle: A promotion platform using crowdsourcing and web data scraping technique

Junjoewong, Lalita, Supatsara Sangnapachai, and Thanwadee Sunetnanta. 2018. “ProCircle: A Promotion Platform Using Crowdsourcing and Web Data Scraping Technique.” 2018 Seventh ICT International Student Project Conference (ICT-ISPC), Student Project Conference (ICT-ISPC), 2018 Seventh ICT International, 1–25.

18. Legality and Ethics of Web Scraping.

Krotov, Vlad, and Leiser Silva. 2018. “Legality and Ethics of Web Scraping.” Proceedings of the Americas Conference on Information Systems (AMCIS).

19. Web Scraping: State-of-the-Art and Areas of Application

Diouf, Rabiyatou, Edouard Ngor Sarr, Ousmane Sall, Babiga Birregah, Mamadou Bousso, and Seny Ndiaye Mbaye. 2019. “Web Scraping: State-of-the-Art and Areas of Application.” 2019 IEEE International Conference on Big Data (Big Data), Big Data (Big Data), 2019 IEEE International Conference On, December, 6040–62.

20. Phishing website detection framework through web scraping and data mining

Park, Andrew J., Ruhi Naaz Quadari, and Herbert H. Tsang. 2017. “Phishing Website Detection Framework through Web Scraping and Data Mining.” 2017 8th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), Information Technology, Electronics and Mobile Communication Conference (IEMCON), 2017 8th IEEE Annual, October, 660–84. — Preceding unsigned comment added by Moonstar0619 (talk • contribs) 14:45, 19 October 2020 (UTC)