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Submitted by:-
Snehil Verma
Scrapy is a fast open source web crawling
framework written in Python, used to extract
the data from web page with the help of
selectors based on XPath.
 Beautiful Soup
 Lxml
 Newspaper
 It is easier to build and scale large crawling
projects.
 It has built-in mechanism called Selectors, for
extracting the data from websites.
 It handles the requests asynchronously and it
is fast.
 It automatically adjusts crawling speed
using Auto-throttling mechanism.
 Ensures developer accessibility.
 Scrapy is an open source and free to use web
crawling framework.
 Scrapy generates feed exports in formats like
JSON, CSV, and XML.
 Scrapy has built-in support for selecting and
extracting data from sources either
by XPath or CSS expressions.
 Scrapy based on crawler, allows extracting
data from web pages in an automatic way.
 Scrapy is easily extensible, fast and powerful.
 It is a cross platform application framework
(Windows, Linux, Mac OS and BSD).
 Scrapy requests are scheduled and processed
asynchronously.
 Scrapy comes with built-in service
called Scrapyd which allows to upload projects
and control spiders using JSON web service.
 It is possible to scrap any website, even if that
website does not have API for raw data access.
You should have a basic understanding of
Computer Programming terminologies and
Python. A basic understanding of XPATH is a
plus.
The command to install scrapy is -:
pip install scrapy
Command to run the spider is:-
scrapy runspider <spider.py>
Or
scrapy runspider <spider.py> -o
file.(json/xml/csv)
 Scrapy is only for Python 2.7. +
 Installation is different for different operating
system.
 http://www.slideshare.net/previa/scrapyford
ummies-15277988
 https://www.tutorialspoint.com/scrapy/scrap
y_overview.htm
 https://www.scrapy.org/
Scrapy-101
Scrapy-101

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Scrapy-101

  • 2. Scrapy is a fast open source web crawling framework written in Python, used to extract the data from web page with the help of selectors based on XPath.
  • 3.  Beautiful Soup  Lxml  Newspaper
  • 4.  It is easier to build and scale large crawling projects.  It has built-in mechanism called Selectors, for extracting the data from websites.  It handles the requests asynchronously and it is fast.  It automatically adjusts crawling speed using Auto-throttling mechanism.  Ensures developer accessibility.
  • 5.  Scrapy is an open source and free to use web crawling framework.  Scrapy generates feed exports in formats like JSON, CSV, and XML.  Scrapy has built-in support for selecting and extracting data from sources either by XPath or CSS expressions.  Scrapy based on crawler, allows extracting data from web pages in an automatic way.
  • 6.  Scrapy is easily extensible, fast and powerful.  It is a cross platform application framework (Windows, Linux, Mac OS and BSD).  Scrapy requests are scheduled and processed asynchronously.  Scrapy comes with built-in service called Scrapyd which allows to upload projects and control spiders using JSON web service.  It is possible to scrap any website, even if that website does not have API for raw data access.
  • 7. You should have a basic understanding of Computer Programming terminologies and Python. A basic understanding of XPATH is a plus.
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  • 9. The command to install scrapy is -: pip install scrapy
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  • 13. Command to run the spider is:- scrapy runspider <spider.py> Or scrapy runspider <spider.py> -o file.(json/xml/csv)
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  • 15.  Scrapy is only for Python 2.7. +  Installation is different for different operating system.