Home Backend Development Python Tutorial What packages should be installed for python crawler?

What packages should be installed for python crawler?

May 17, 2019 pm 07:16 PM
python crawler library

What libraries need to be installed to learn Python web crawler?

What packages should be installed for python crawler?

The following are the relevant libraries involved in Python crawlers

Request library, parsing library, storage library, tool library

1. Request library: urllib/re/requests

(1) urllib/re is the library that comes with python by default. It can be verified by the following command:

What packages should be installed for python crawler?

No error message is output, indicating that the environment is normal

(2) requests installation

2.1 Open CMD, enter pip3 install requests

2.2 Wait for installation , Verification

What packages should be installed for python crawler?

(3) selenium installation (driving the browser for website access behavior)

3.1 Open CMD and enter pip3 install selenium

3.2 Install chromedriver

Website: https://npm.taobao.org/

Extract the downloaded compressed package and put the exe into D:\Python3.6.0 \Scripts\

This path only needs to be in the PATH variable

3.3 Wait for the installation to be completed, verify

What packages should be installed for python crawler?

and press Enter to pop up chrome browser interface

3.4 Install other browsers

Interfaceless browser phantomjs

Download URL: http://phantomjs.org/

Download After completion, unzip it, put the entire directory into D:\Python3.6.0\Scripts\, and add the path to the bin directory to the PATH variable

Verification:

Open CMD

What packages should be installed for python crawler?

2. Parsing library:

2.1 lxml (XPATH)

Open CMD and enter pip3 install lxml or download from https://pypi.python.org, For example, lxml-4.1.1-cp36-cp36m-win_amd64.whl (md5), first download the whl file, and execute pip3 install on the command line. File name.whl

2.2 beautifulsoup

To open CMD, you need to install lxml first

pip3 install beautifulsoup4

What packages should be installed for python crawler?

2.3 pyquery (similar to jquery syntax)

Open CMD , pip3 install pyquery

Verify the installation results

What packages should be installed for python crawler?

3. Repository

3.1 pymysql (operating MySQL, relational database)

Installation: pip3 install pymysql, test after installation:

What packages should be installed for python crawler?

3.2 pymongo (operating MongoDB, key-value)

Installation pip3 install pymongo

Verification

What packages should be installed for python crawler?

##3.3 redis (distributed crawler, maintain crawling queue) Installation: pip3 install redis


Verification:

What packages should be installed for python crawler?

4.1Django (distributed crawler maintenance system) pip3 install django


4.2jupyter (notepad running on the web page, supports markdown , you can run the code on the web page) Install pip3 install jupyter


Verification: Open CMD, jupyter notebook

and then you can create notepads, code blocks and Markdown blocks directly on the web page, Support printing

The above is the detailed content of What packages should be installed for python crawler?. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

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

Hot Article

Roblox: Bubble Gum Simulator Infinity - How To Get And Use Royal Keys
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
Nordhold: Fusion System, Explained
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
Mandragora: Whispers Of The Witch Tree - How To Unlock The Grappling Hook
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Hot Topics

Java Tutorial
1666
14
PHP Tutorial
1272
29
C# Tutorial
1252
24
Python vs. C  : Applications and Use Cases Compared Python vs. C : Applications and Use Cases Compared Apr 12, 2025 am 12:01 AM

Python is suitable for data science, web development and automation tasks, while C is suitable for system programming, game development and embedded systems. Python is known for its simplicity and powerful ecosystem, while C is known for its high performance and underlying control capabilities.

Python: Games, GUIs, and More Python: Games, GUIs, and More Apr 13, 2025 am 12:14 AM

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.

Python vs. C  : Learning Curves and Ease of Use Python vs. C : Learning Curves and Ease of Use Apr 19, 2025 am 12:20 AM

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.

Python and Time: Making the Most of Your Study Time Python and Time: Making the Most of Your Study Time Apr 14, 2025 am 12:02 AM

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python vs. C  : Exploring Performance and Efficiency Python vs. C : Exploring Performance and Efficiency Apr 18, 2025 am 12:20 AM

Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.

Which is part of the Python standard library: lists or arrays? Which is part of the Python standard library: lists or arrays? Apr 27, 2025 am 12:03 AM

Pythonlistsarepartofthestandardlibrary,whilearraysarenot.Listsarebuilt-in,versatile,andusedforstoringcollections,whereasarraysareprovidedbythearraymoduleandlesscommonlyusedduetolimitedfunctionality.

Learning Python: Is 2 Hours of Daily Study Sufficient? Learning Python: Is 2 Hours of Daily Study Sufficient? Apr 18, 2025 am 12:22 AM

Is it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.

Python: Automation, Scripting, and Task Management Python: Automation, Scripting, and Task Management Apr 16, 2025 am 12:14 AM

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.

See all articles