Data Toolbar
Data Toolbar is a Web scraping computer software add-on to the Internet Explorer, Mozilla Firefox, and Google Chrome Web browsers that collects and converts structured data from Web pages into a tabular format that can be loaded into a spreadsheet or database management program.[1]
| Developer(s) | DataTool Services |
|---|---|
| Operating system | Microsoft Windows |
| Type | Browser toolbar, Web scraping |
| Website | www.datatoolbar.com |
Algorithm
The program implements a variation of the genetic tree matching algorithm with respect to nested lists.[2] That is, inside a given website, the program recursively traverses the branches of its DOM tree, aiming to detect nested lists of data items matching the format of the specified content. This approach is known to have several advantages over a simple string-matching algorithm.[3]
Features
- Collection of data and images directly from the Internet Explorer
- Collection of information from Details pages linked to the catalog
- Automatic processing of multi-page catalogs
- Support of irregular multi-row catalogs mixed with advertisement
Similar tools
- Automation Anywhere - The Web Extractor is a part of the larger automation system
- Easy Web Extract - Standalone application, Windows
- Mozenda - Web based service
- Newprosoft - Standalone application, includes an Agent, Windows
- OutWit – Standalone Application and Firefox Extension
- Data Scraping Studio – Standalone Application for Windows and Chrome Extension
- Diggernaut – Web platform with standalone application for Windows, Linux, MacOS and Google Chrome Extension
Sources
- "A guide to the mortgage banking industry's leading providers of high-tech products and services". The Journal for Mortgage Banking Professionals. Zackin Publications. 25 (2): 14. January 2011.
- Alberto H. F. Laender, Berthier A. Ribeiro-Neto, Altigran S. da Silva, Juliana S. Teixeira A Brief Survey of Web Data Extraction Tools Archived 2011-07-06 at the Wayback Machine ACM SIGMOD Volume 31 Issue 2
- Nitin Jindal, Bing Liu A Generalized Tree Matching Algorithm Considering Nested Lists for Web Data Extraction Proceedings of the Tenth SIAM International Conference on Data Mining, 2010
gollark: Huh, Postgres *doesn't* support TF-IDF full text search>
gollark: Possibly because it was named `#low-quality-or-effort-memetic-hazards` or something.
gollark: Heavserver had a dedicated meme channel but it was very low quality.
gollark: All channels are meme channels.
gollark: The experimental HTTP/3 support isn't really working out, so I might just switch back to the arch repos' nginx.
External links
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