And look at the page HTML source to construct the XPath to select the data we want to extract which is: torrent name, description and size. By looking at the page HTML source we can see that the file name def process_item(self, spider, item): torrent_id = item['url'].split('/')[-1] f = open("torrent-%s.pickle" % torrent_id, "w") pickle.dump(item, f) f.close() What else? You’ve to download Scrapy [http://scrapy.org/download/], read the tutorial and join the community [http://scrapy.org/community/]. Thanks for your interest! © Copyright 2008-2010, Insophia. Last updated on May

the data to extract from the web page HTML source. Let’s take one of those torrent pages: http://www.mininova.org/tor/2657665 And look at the page HTML source to construct the XPath to select the data data we want which is: torrent name, description and size. By looking at the page HTML source we can see that the file name is contained inside a

tag:

Home[2009][Eng]XviD-ovd

An XPath expression to download Scrapy [http://scrapy.org/download/], read the tutorial and join the community [http://scrapy.org/community/]. Thanks for your interest! © Copyright 2008-2011, Insophia. Last updated on May

the data to extract from the web page HTML source. Let’s take one of those torrent pages: http://www.mininova.org/tor/2657665 And look at the page HTML source to construct the XPath to select the data data we want which is: torrent name, description and size. By looking at the page HTML source we can see that the file name is contained inside a

tag:

Home[2009][Eng]XviD-ovd

An XPath expression to download Scrapy [http://scrapy.org/download/], read the tutorial and join the community [http://scrapy.org/community/]. Thanks for your interest! © Copyright 2008-2011, Insophia. Last updated on May

the data to extract from the web page HTML source. Let’s take one of those torrent pages: http://www.mininova.org/tor/2657665 And look at the page HTML source to construct the XPath to select the data data we want which is: torrent name, description and size. By looking at the page HTML source we can see that the file name is contained inside a

tag:

Home[2009][Eng]XviD-ovd

An XPath expression to download Scrapy [http://scrapy.org/download/], read the tutorial and join the community [http://scrapy.org/community/]. Thanks for your interest! © Copyright 2008-2012, Scrapinghub. Last updated on

the data to extract from the web page HTML source. Let’s take one of those torrent pages: http://www.mininova.org/tor/2657665 And look at the page HTML source to construct the XPath to select the data data we want which is: torrent name, description and size. By looking at the page HTML source we can see that the file name is contained inside a

tag:

Home[2009][Eng]XviD-ovd

An XPath expression to download Scrapy [http://scrapy.org/download/], read the tutorial and join the community [http://scrapy.org/community/]. Thanks for your interest! © Copyright 2008-2013, Scrapy developers. Last updated

the data to extract from the web page HTML source. Let’s take one of those torrent pages: http://www.mininova.org/tor/2657665 And look at the page HTML source to construct the XPath to select the data data we want which is: torrent name, description and size. By looking at the page HTML source we can see that the file name is contained inside a

tag:

Home[2009][Eng]XviD-ovd

An XPath expression to download Scrapy [http://scrapy.org/download/], read the tutorial and join the community [http://scrapy.org/community/]. Thanks for your interest! © Copyright 2008-2013, Scrapy developers. Last updated

the data to extract from the web page HTML source. Let’s take one of those torrent pages: http://www.mininova.org/tor/2676093 And look at the page HTML source to construct the XPath to select the data data we want which is: torrent name, description and size. By looking at the page HTML source we can see that the file name is contained inside a

tag:

Darwin - The Evolution Of An Exhibition

to download Scrapy [http://scrapy.org/download/], read the tutorial and join the community [http://scrapy.org/community/]. Thanks for your interest! © Copyright 2008-2013, Scrapy developers. Last updated

the data to extract from the web page HTML source. Let’s take one of those torrent pages: http://www.mininova.org/tor/2676093 And look at the page HTML source to construct the XPath to select the data data we want which is: torrent name, description and size. By looking at the page HTML source we can see that the file name is contained inside a

tag:

Darwin - The Evolution Of An Exhibition

to download Scrapy [http://scrapy.org/download/], read the tutorial and join the community [http://scrapy.org/community/]. Thanks for your interest! © Copyright 2008-2013, Scrapy developers. Last updated

bugs with Scrapy in our issue tracker [https://github.com/scrapy/scrapy/issues]. Join the Discord community Scrapy Discord [https://discord.gg/mv3yErfpvq]. First steps Scrapy at a glance Understand what through the tutorial to learn how to create a full-blown Scrapy project and join the community [https://scrapy.org/community/]. Thanks for your interest! Installation guide Supported Python versions Scrapy is typically provided by Apple’s Xcode development tools. To install the Xcode command line tools open a terminal window and run: xcode-select --install There’s a known issue [https://github.com/pypa/pip/issues/2468]

bugs with Scrapy in our issue tracker [https://github.com/scrapy/scrapy/issues]. Join the Discord community Scrapy Discord [https://discord.gg/mv3yErfpvq]. First steps Scrapy at a glance Understand what through the tutorial to learn how to create a full-blown Scrapy project and join the community [https://scrapy.org/community/]. Thanks for your interest! Installation guide Supported Python versions Scrapy is typically provided by Apple’s Xcode development tools. To install the Xcode command line tools open a terminal window and run: xcode-select --install There’s a known issue [https://github.com/pypa/pip/issues/2468]