Web scraping with Python: Collecting more data from the modern web
By: Mitchell, Ryan E
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Material type: 
BookPublisher: Sebastopol, CA : O'Reilly Media, 2018Copyright date: ©2018Edition: Second edition.Description: xv, 288 pages : illustrations, 24 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781491985571; 1491985577.Subject(s): Python (Computer program language) | Data mining | Automatic data collection systems | Automatic data collection systems | Data mining | Python (Computer program language)Online resources: Details (Publisher) Summary: If programming is magic then web scraping is surely a form of wizardry. By writing a simple automated program, you can query web servers, request data, and parse it to extract the information you need. The expanded edition of this practical book not only introduces you web scraping, but also serves as a comprehensive guide to scraping almost every type of data from the modern web. Part I focuses on web scraping mechanics: using Python to request information from a web server, performing basic handling of the server's response, and interacting with sites in an automated fashion. Part II explores a variety of more specific tools and applications to fit any web scraping scenario you're likely to encounter.
| Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| Computer Science | Library | IT-2023-12 (Browse shelf) | Checked out | 01.09.2023 | 345789 |
Includes index.
If programming is magic then web scraping is surely a form of wizardry. By writing a simple automated program, you can query web servers, request data, and parse it to extract the information you need. The expanded edition of this practical book not only introduces you web scraping, but also serves as a comprehensive guide to scraping almost every type of data from the modern web. Part I focuses on web scraping mechanics: using Python to request information from a web server, performing basic handling of the server's response, and interacting with sites in an automated fashion. Part II explores a variety of more specific tools and applications to fit any web scraping scenario you're likely to encounter.
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