Python crawler self study series (2)

Look at the future 2021-01-21 03:29:33
python crawler self study series

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It's still a little chatter , Once again, bloggers are looking for a sense of existence .

Looking back , In the past, we talked about the simple operation of reptiles , And encapsulates a simple , Get the function of web page source data , It's good, isn't it .
Python Reptile self study series one

Today, we're going to grab the data we want from the web data we get .
( notes : Many things in this article have already been mentioned , So this article is basically a link , It won't be long )

HTML A brief introduction to the website

Xpath, God forever

XPath Is a kind of will XML The hierarchical structure of a document is described as a relational way . because HTML yes from XML The elements make up , So we can use XPath from HTML Locate and select elements in the document .

If you want to know more XPath Relevant knowledge , You can click on the blue on this side .

as for beautifulsoup Don't mention it .
Don't ask me why I didn't mention it , Look down and you'll see .

Performance comparison

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Do you realize ?

good , I've finished my knowledge , What is needed in the comparison is the code encapsulation in the actual combat of the project .

The actual combat of the project also has , Crawling 2021 Tencent school recruitment in

Let's look at it first. It's about , Then we come back to pick up some functions and encapsulate them .

Getting data from a web page

What about this function , Take the data straight away , But this Xpath The use of , It's not that easy .

def get_data(html_data,Xpath_path):
This is a function to grab the required data from the web page source data
:param html_data: Web source data ( A single data )
:param Xpath_path: Xpath Addressing method
:return: A list of stored results
data = html_data.content
data = data.decode().replace("<!--", "").replace("-->", "") # Delete comments from data 
tree = etree.HTML(data) # establish element object 
el_list = tree.xpath(Xpath_path)
return el_list

The one above is disposable , What about sustainable development ? For example, in a web page, you need to capture more than one type of data , That is to say, there are many sets of Xpath, What to do with that ?

I have two ways :
1. take element Object is used to transfer , The function is divided into two , see :

Sustainable development method 1 :

First step , Get the URL of element Object and return

# Get the URL of element object 
def get_element(html_data):
data = html_data.content
data = data.decode().replace("<!--", "").replace("-->", "")
tree = etree.HTML(data)
return tree

The second step , from element Object

def parser_element_data(Tree,Xpath):
el_list = Tree.xpath(Xpath)
return el_list

This method , It's a bit rustic , It really needs to be used , It's not very beautiful either , redundancy .

Let's look at method two .

Sustainable development method 2 :

What about this method , It's going to be all Xpath Pass in as a list , And then take the data through the loop .

def get_data_2(html_data,Xpath_path_list):
Through multiple Xpath Extract data
:param html_data: Raw web data
:param Xpath_paths: Xpath Addressing list
:return: 2 d list , A kind of addressing data, a list
el_data = []
data = html_data.content
data = data.decode().replace("<!--", "").replace("-->", "")
tree = etree.HTML(data)
for Xpath_path in Xpath_path_list:
el_list = tree.xpath(Xpath_path)
el_list = [] # Let's clean it up for safety's sake 
return el_data


This one is relatively short , But the content is not short .
If you have a heart, you can find a website to practice Xpath, Let's say recruitment website .

本文为[Look at the future]所创,转载请带上原文链接,感谢

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