| Submission declined on 9 February 2024 by Encoded (talk). This submission is not adequately supported by reliable sources. Reliable sources are required so that information can be verified. If you need help with referencing, please see Referencing for beginners and Citing sources.
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| Submission declined on 14 January 2024 by Rich Smith (talk). This submission is not adequately supported by reliable sources. Reliable sources are required so that information can be verified. If you need help with referencing, please see Referencing for beginners and Citing sources. This draft's references do not show that the subject qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are: Declined by Rich Smith 4 months ago.
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Comment: Please see WP:SIGCOV Encoded Talk to me! 13:08, 9 February 2024 (UTC)
- Comment: The references have no relation to the software whatsoever, we need to see reporting about the tool itself from reliable secondary sources - RichT|C|E-Mail 21:04, 14 January 2024 (UTC)
ParseHub is a web scraping tool that allows users to extract data from websites.[1] The software allows the user to scrape single or multiple URLs. It can obtain complex data from websites that use AJAX, JavaScript, redirects and cookies.[2] It can be used as a tool to analyse software builds[3], or to gather large amounts of data. [4] It is commonly used by researchers to collect samples for statistical analysis purposes.[5] ParseHub operates on a visual scraping model, making it user-friendly for individuals who may not have advanced coding skills.[6] It can be useful in a broader data collection strategy, such as Big Data Approach Method.[7] The downside of ParseHub for a beginner user is that XPath selection is required, which is an advanced technique.[8] [9][10]
References edit
- ^ Almaqbali, I. S. H., Al Khufairi, F. M. A., Khan, M. S., Bhat, A. Z., & Ahmed, I. (2020). Web Scrapping: Data Extraction from Websites. Journal of Student Research. https://doi.org/10.47611/jsr.vi.942
- ^ Niu, Q., Kandhro, I. A., Kumar, A., Shah, S., Hasan, M., Ahmed, H. M., & Liang, F. (2022). Web Scraping Tool For Newspapers And Images Data Using Jsonify. Journal of Applied Science and Engineering, 26(4), 465-474.
- ^ Saranya, K. G., and G. Keerthana. "Clustering Reporeapers Using Data Mining Techniques." Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India. 2021.
- ^ Abiantoro, D., & Kusumo, D. S. (2020, June). Analysis of Web Content Quality Information on the Koseeker Website Using the Web Content Audit Method and ParseHub Tools. In 2020 8th International Conference on Information and Communication Technology (ICoICT) (pp. 1-6). IEEE.
- ^ Wilner, T., & Holton, A. (2020). Breast cancer prevention and treatment: misinformation on Pinterest, 2018. American journal of public health, 110(S3), S300-S304.
- ^ Ciechanowski, L., Jemielniak, D., & Gloor, P. A. (2020). TUTORIAL: AI research without coding: The art of fighting without fighting: Data science for qualitative researchers. Journal of Business Research, 117, 322-330.
- ^ Berawi, M. A., Aprianti, L., Saroji, G., Sari, M., Miraj, P., & Kim, A. A. (2020). Land value capture modeling in residential area using big data approach method. Engineering Journal, 24(4), 249-259.
- ^ "RECENT PUBLICATION". crps.nilai.edu.my.
- ^ "ParseHub : Un outil de web scraping avec une version gratuite".
- ^ D. Abiantoro and D. S. Kusumo, "Analysis of Web Content Quality Information on the Koseeker Website Using the Web Content Audit Method and ParseHub Tools," 2020 8th International Conference on Information and Communication Technology (ICoICT), Yogyakarta, Indonesia, 2020, pp. 1-6, doi: 10.1109/ICoICT49345.2020.9166396.Abstract: Content Quality is one of the most critical dimensions of Website Quality. There are seven indicators to check the quality of the content. Content that has low quality can be determined with these indicators. To facilitate quality checking of the website content, the authors used a content audit method. However, there are currently not many standards that can be used for content auditing. So in this study, the authors proposed to use the website auditing framework and combine it with content quality indicators. With these methods, the authors can assess content by following the indicators of content quality. Complete information about the website was needed to conduct an audit. The authors used web scraping using Parsehub to get all these data. In this research, the case taken for quality checking was Koseeker Website. After conducting the content audit in Koseeker, the results showed that Koseeker has a quality that was not yet maximum on three of seven indicators, namely, Timely, Relevant, and Authority. After doing the test, it can be seen that the proposed web content audit can assess the quality of Koseeker website content.URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9166396&isnumber=9166148