programmatically. Scrapy can help you extract that information. Let’s say we want to extract the URL, name, description and size of all torrent files added today in the Mininova [http://www.mininova.org] site. The from scrapy.item import Item, Field class Torrent(Item): url = Field() name = Field() description = Field() size = Field() Write a Spider to extract the data The next thing is to write a Spider the page HTML source to construct the XPath to select the 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

programmatically. Scrapy can help you extract that information. Let’s say we want to extract the URL, name, description and size of all torrent files added today in the Mininova [http://www.mininova.org] site. The from scrapy.item import Item, Field class Torrent(Item): url = Field() name = Field() description = Field() size = Field() Write a Spider to extract the data The next thing is to write a Spider the page HTML source to construct the XPath to select the 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

programmatically. Scrapy can help you extract that information. Let’s say we want to extract the URL, name, description and size of all torrent files added today in the Mininova site. The list of all torrents added Item: from scrapy.item import Item, Field class Torrent(Item): url = Field() name = Field() description = Field() size = Field() 5 Scrapy Documentation, Release 0.12.0 2.1.3 Write a Spider to extract the page HTML source to construct the XPath to select the 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

programmatically. Scrapy can help you extract that information. Let’s say we want to extract the URL, name, description and size of all torrent files added today in the Mininova [http://www.mininova.org] site. The scrapy.item import Item, Field class TorrentItem(Item): url = Field() name = Field() description = Field() size = Field() Write a Spider to extract the data The next thing is to write a Spider the page HTML source to construct the XPath to select the 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

programmatically. Scrapy can help you extract that information. Let’s say we want to extract the URL, name, description and size of all torrent files added today in the Mininova site. The list of all torrents added Item: from scrapy.item import Item, Field class Torrent(Item): url = Field() name = Field() description = Field() size = Field() 5 Scrapy Documentation, Release 0.14.4 2.1.3 Write a Spider to extract the page HTML source to construct the XPath to select the 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

programmatically. Scrapy can help you extract that information. Let’s say we want to extract the URL, name, description and size of all torrent files added today in the Mininova site. The list of all torrents added Item: from scrapy.item import Item, Field class TorrentItem(Item): url = Field() name = Field() description = Field() size = Field() 5 Scrapy Documentation, Release 0.16.5 2.1.3 Write a Spider to extract the page HTML source to construct the XPath to select the 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

programmatically. Scrapy can help you extract that information. Let’s say we want to extract the URL, name, description and size of all torrent files added today in the Mininova [http://www.mininova.org] site. The scrapy.item import Item, Field class TorrentItem(Item): url = Field() name = Field() description = Field() size = Field() Write a Spider to extract the data The next thing is to write a Spider the page HTML source to construct the XPath to select the 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

programmatically. Scrapy can help you extract that information. Let’s say we want to extract the URL, name, description and size of all torrent files added today in the Mininova site. The list of all torrents added Item: from scrapy.item import Item, Field class TorrentItem(Item): url = Field() name = Field() description = Field() size = Field() 5 Scrapy Documentation, Release 0.20.2 2.1.3 Write a Spider to extract the page HTML source to construct the XPath to select the 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

programmatically. Scrapy can help you extract that information. Let’s say we want to extract the URL, name, description and size of all torrent files added today in the Mininova [http://www.mininova.org] site. The scrapy.item import Item, Field class TorrentItem(Item): url = Field() name = Field() description = Field() size = Field() Write a Spider to extract the data The next thing is to write a Spider the page HTML source to construct the XPath to select the 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

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 is contained inside extract the name could be: //h1/text() And the description is contained inside a