國立虎尾科技大學 |

Website Scraping with Python = Using BeautifulSoup and Scrapy /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Website Scraping with Python/ by Gábor László Hajba.
Reminder of title:	Using BeautifulSoup and Scrapy /
Author:	Hajba, Gábor László.
Description:	XVIII, 223 p. 56 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Python (Computer program language). -
Online resource:	https://doi.org/10.1007/978-1-4842-3925-4
ISBN:	9781484239254

Website Scraping with Python = Using BeautifulSoup and Scrapy /
Hajba, Gábor László.

Website Scraping with PythonUsing BeautifulSoup and Scrapy /[electronic resource] :by Gábor László Hajba. - 1st ed. 2018. - XVIII, 223 p. 56 illus.online resource.

1. Getting Started -- 2. Entering the Requirements 3. Using Beautiful Soup -- 4. Using Scrapy -- 5. Handling JavaScript -- 6. Website Scraping in the Cloud.

Closely examine website scraping and data processing: the technique of extracting data from websites in a format suitable for further analysis. You'll review which tools to use, and compare their features and efficiency. Focusing on BeautifulSoup4 and Scrapy, this concise, focused book highlights common problems and suggests solutions that readers can implement on their own. Website Scraping with Python starts by introducing and installing the scraping tools and explaining the features of the full application that readers will build throughout the book. You'll see how to use BeautifulSoup4 and Scrapy individually or together to achieve the desired results. Because many sites use JavaScript, you'll also employ Selenium with a browser emulator to render these sites and make them ready for scraping. By the end of this book, you'll have a complete scraping application to use and rewrite to suit your needs. As a bonus, the author shows you options of how to deploy your spiders into the Cloud to leverage your computer from long-running scraping tasks.

ISBN: 9781484239254

Standard No.: 10.1007/978-1-4842-3925-4doiSubjects--Topical Terms:

1127623
Python (Computer program language).

LC Class. No.: QA76.73.P98

Dewey Class. No.: 005.133

Website Scraping with Python = Using BeautifulSoup and Scrapy /
LDR:02574nam a22003975i 4500 001 988687
003 DE-He213
005 20200704060815.0
007 cr nn 008mamaa
008 201225s2018 xxu| s |||| 0|eng d
020 $a 9781484239254 $9 978-1-4842-3925-4
024 7 $a 10.1007/978-1-4842-3925-4 $2 doi
035 $a 978-1-4842-3925-4
050 4 $a QA76.73.P98
072 7 $a UMX $2 bicssc
072 7 $a COM051360 $2 bisacsh
072 7 $a UMX $2 thema
082 0 4 $a 005.133 $2 23
100 1 $a Hajba, Gábor László. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1280816
245 1 0 $a Website Scraping with Python $h [electronic resource] : $b Using BeautifulSoup and Scrapy / $c by Gábor László Hajba.
250 $a 1st ed. 2018.
264 1 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2018.
300 $a XVIII, 223 p. 56 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a 1. Getting Started -- 2. Entering the Requirements 3. Using Beautiful Soup -- 4. Using Scrapy -- 5. Handling JavaScript -- 6. Website Scraping in the Cloud.
520 $a Closely examine website scraping and data processing: the technique of extracting data from websites in a format suitable for further analysis. You'll review which tools to use, and compare their features and efficiency. Focusing on BeautifulSoup4 and Scrapy, this concise, focused book highlights common problems and suggests solutions that readers can implement on their own. Website Scraping with Python starts by introducing and installing the scraping tools and explaining the features of the full application that readers will build throughout the book. You'll see how to use BeautifulSoup4 and Scrapy individually or together to achieve the desired results. Because many sites use JavaScript, you'll also employ Selenium with a browser emulator to render these sites and make them ready for scraping. By the end of this book, you'll have a complete scraping application to use and rewrite to suit your needs. As a bonus, the author shows you options of how to deploy your spiders into the Cloud to leverage your computer from long-running scraping tasks.
650 0 $a Python (Computer program language). $3 1127623
650 0 $a Computer programming. $3 527822
650 1 4 $a Python. $3 1115944
650 2 4 $a Web Development. $3 1114136
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9781484239247
776 0 8 $i Printed edition: $z 9781484239261
776 0 8 $i Printed edition: $z 9781484246146
856 4 0 $u https://doi.org/10.1007/978-1-4842-3925-4
912 $a ZDB-2-CWD
912 $a ZDB-2-SXPC
950 $a Professional and Applied Computing (SpringerNature-12059)
950 $a Professional and Applied Computing (R0) (SpringerNature-43716)