


Comprehensive understanding of Python crawler xlml parsing library
The following editor will bring you an article about the xlml parsing library of Python crawler (comprehensive understanding). The editor thinks it’s pretty good, so I’ll share it with you now and give it as a reference. Let’s follow the editor to take a look
1.Xpath
Xpath is a language for finding information in XML, which can be used to Traverse elements and attributes in XML documents. Both XQuery and xpoint are built on xpath expression
2. Node
Parent (parent), child (children), brother ( sibling), ancestor (ancetstor), descendant (Decendant)
3. Select node
Path expression
Expression | Description | Path expression | Result |
nodename | Select all child nodes on this node | bookstore | Select all child nodes of the bookstore element |
/ | Select | /bookstore from the root node | Select the root element bookstore, which is the absolute path |
// | Select nodes in the document from the current node matching the selection, regardless of position | //book | Select all book child elements regardless of their position in the document |
. | Select the current node | bookstore//book | Select all book elements in the bookstore descendants |
.. | Select the parent node of the current node | ||
Select attributes | //@lang | Select all attributes named lang |
Predicate
The predicate is used tofind a specific node or a node containing a specified value
The predicate is embedded in square bracketsResult | |
Select the bookstore child The first book element of the element | |
Select the last book element that belongs to the bookstore child element | |
Select the penultimate book element that belongs to the bookstore child element | |
Select the first two book elements that are child elements of the bookstore element | |
Select all title elements that have a lang attribute with a value of eng | |
Select all book elements of the bookstore element, and the price value is greater than 35.0 |
* Match any element node
@* Match any attribute nodenode() Match any type of node 4.lxml usage#!/usr/bin/python #_*_coding:utf-8_*_ from lxml import etree text=''' <p> <ul> <li class="item-0"><a href="link1.html" rel="external nofollow" rel="external nofollow" >first item</a></li> <li class="item-1"><a href="link2.html" rel="external nofollow" >second item</a></li> <li class="item-inactive"><a href="link3.html" rel="external nofollow" >third item</a></li> <li class="item-1"><a href="link4.html" rel="external nofollow" >fourth item</a></li> <li class="item-0"><a href="link5.html" rel="external nofollow" >fifth item</a> </ul> </p> ''' # html=etree.HTML(text) #html对象,存储在地址中,有自动修正功能 # result=etree.tostring(html) #将html对象转化为字符串 html=etree.parse('hello.html') # result=etree.tostring(html,pretty_print=True) # print result print type(html) result= html.xpath('//li') print result print len(result) print type(result) print type(result[0]) print html.xpath('//li/@class') # 获取li标签下的所有的class print html.xpath('//li/a[@href="link1.html" rel="external nofollow" rel="external nofollow" ]') #获取li标签下href为link1的<a>标签 print html.xpath('//li//span') #获取li标签下所有的span标签 print html.xpath('//li[last()-1]/a')[0].text #获取倒数第二个元素的内容
The above is the detailed content of Comprehensive understanding of Python crawler xlml parsing library. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

VS Code can run on Windows 8, but the experience may not be great. First make sure the system has been updated to the latest patch, then download the VS Code installation package that matches the system architecture and install it as prompted. After installation, be aware that some extensions may be incompatible with Windows 8 and need to look for alternative extensions or use newer Windows systems in a virtual machine. Install the necessary extensions to check whether they work properly. Although VS Code is feasible on Windows 8, it is recommended to upgrade to a newer Windows system for a better development experience and security.

VS Code can be used to write Python and provides many features that make it an ideal tool for developing Python applications. It allows users to: install Python extensions to get functions such as code completion, syntax highlighting, and debugging. Use the debugger to track code step by step, find and fix errors. Integrate Git for version control. Use code formatting tools to maintain code consistency. Use the Linting tool to spot potential problems ahead of time.

Running Python code in Notepad requires the Python executable and NppExec plug-in to be installed. After installing Python and adding PATH to it, configure the command "python" and the parameter "{CURRENT_DIRECTORY}{FILE_NAME}" in the NppExec plug-in to run Python code in Notepad through the shortcut key "F6".

VS Code extensions pose malicious risks, such as hiding malicious code, exploiting vulnerabilities, and masturbating as legitimate extensions. Methods to identify malicious extensions include: checking publishers, reading comments, checking code, and installing with caution. Security measures also include: security awareness, good habits, regular updates and antivirus software.
