Kubernetes for Edge Computing across Inter-Continental Haier Production Sites Jiyuan Tang & Xin Zhang zhangxin@caicloud.io tangjiyuan@caicloud.io 关于我们 • 开源技术创新者 • 从 Kubernetes 到 Kubeflow • Google

CHAPTER 2 First steps 2.1 Scrapy at a glance Scrapy is an application framework for crawling web sites and extracting structured data which can be used for a wide range of useful applications, like data by modeling the item that we will use to hold the sites data obtained from dmoz.org, as we want to capture the name, url and description of the sites, we define fields for each of these three attributes source, you’ll find that the web sites information is inside a

element, in fact the second
element. So we can select each
• element belonging to the sites list with this code: hxs.select('//ul/li')

CHAPTER 2 First steps 2.1 Scrapy at a glance Scrapy is an application framework for crawling web sites and extracting structured data which can be used for a wide range of useful applications, like data by modeling the item that we will use to hold the sites data obtained from dmoz.org, as we want to capture the name, url and description of the sites, we define fields for each of these three attributes source, you’ll find that the web sites information is inside a

element, in fact the second
element. So we can select each
• element belonging to the sites list with this code: hxs.select('//ul/li')

CHAPTER 2 First steps 2.1 Scrapy at a glance Scrapy is an application framework for crawling web sites and extracting structured data which can be used for a wide range of useful applications, like data by modeling the item that we will use to hold the sites data obtained from dmoz.org, as we want to capture the name, url and description of the sites, we define fields for each of these three attributes source, you’ll find that the web sites information is inside a

element, in fact the second
element. So we can select each
• element belonging to the sites list with this code: sel.xpath(’//ul/li’)

CHAPTER 2 First steps 2.1 Scrapy at a glance Scrapy is an application framework for crawling web sites and extracting structured data which can be used for a wide range of useful applications, like data by modeling the item that we will use to hold the sites data obtained from dmoz.org, as we want to capture the name, url and description of the sites, we define fields for each of these three attributes source, you’ll find that the web sites information is inside a

element, in fact the second
element. So we can select each
• element belonging to the sites list with this code: sel.xpath(’//ul/li’)

Scrapy 0.16.5 documentation » Scrapy at a glance Scrapy is an application framework for crawling web sites and extracting structured data which can be used for a wide range of useful applications, like data by modeling the item that we will use to hold the sites data obtained from dmoz.org, as we want to capture the name, url and description of the sites, we define fields for each of these three attributes source, you’ll find that the web sites information is inside a

element, in fact the second
element. So we can select each
• element belonging to the sites list with this code: hxs.select('//ul/li')

Scrapy 0.20.2 documentation » Scrapy at a glance Scrapy is an application framework for crawling web sites and extracting structured data which can be used for a wide range of useful applications, like data by modeling the item that we will use to hold the sites data obtained from dmoz.org, as we want to capture the name, url and description of the sites, we define fields for each of these three attributes source, you’ll find that the web sites information is inside a

element, in fact the second
element. So we can select each
• element belonging to the sites list with this code: sel.xpath('//ul/li')

Scrapy 0.18.4 documentation » Scrapy at a glance Scrapy is an application framework for crawling web sites and extracting structured data which can be used for a wide range of useful applications, like data by modeling the item that we will use to hold the sites data obtained from dmoz.org, as we want to capture the name, url and description of the sites, we define fields for each of these three attributes source, you’ll find that the web sites information is inside a

element, in fact the second
element. So we can select each
• element belonging to the sites list with this code: hxs.select('//ul/li')

Scrapy 0.22.0 documentation » Scrapy at a glance Scrapy is an application framework for crawling web sites and extracting structured data which can be used for a wide range of useful applications, like data by modeling the item that we will use to hold the sites data obtained from dmoz.org, as we want to capture the name, url and description of the sites, we define fields for each of these three attributes source, you’ll find that the web sites information is inside a

element, in fact the second
element. So we can select each
• element belonging to the sites list with this code: sel.xpath('//ul/li')

CHAPTER 2 First steps 2.1 Scrapy at a glance Scrapy is an application framework for crawling web sites and extracting structured data which can be used for a wide range of useful applications, like data by modeling the item that we will use to hold the sites data obtained from dmoz.org, as we want to capture the name, url and description of the sites, we define fields for each of these three attributes source, you’ll find that the web sites information is inside a

element, in fact the second
element. So we can select each
• element belonging to the sites list with this code: hxs.select('//ul/li')