search
HomeBackend DevelopmentPython TutorialExample of implementing simple crawler function in python

When we browse the Internet every day, we often see some good-looking pictures, and we want to save and download these pictures, or use them as desktop wallpapers, or as design materials.

Our most common method is to right-click the mouse and select Save As. However, some pictures do not have a save as option when you right-click the mouse. Another way is to capture them with a screenshot tool, but this will reduce the clarity of the picture. Okay~! In fact, you are very good. Right-click to view the page source code.

We can use python to implement such a simple crawler function and crawl the code we want locally. Let's take a look at how to use python to implement such a function.

One, get the entire page data

First we can get the entire page information of the image to be downloaded.
getjpg.py

#coding=utf-8
import urllib
def getHtml(url):
  page = urllib.urlopen(url)
  html = page.read()
  return html

html = getHtml("http://tieba.baidu.com/p/2738151262")
print html

The Urllib module provides an interface for reading web page data. We can read data on www and ftp just like reading local files. First, we define a getHtml() function:

urllib.urlopen() method is used to open a URL address.

The

read() method is used to read the data on the URL, pass a URL to the getHtml() function, and download the entire page. Executing the program will print out the entire web page.

Second, filter the data you want on the page
Python provides very powerful regular expressions. We need to know a little bit about python regular expressions first.

Suppose we find a few beautiful wallpapers in Baidu Tieba and go to the previous section to view the tools. Found the address of the picture, such as: src=”http://imgsrc.baidu.com/forum...jpg” pic_ext=”jpeg”

Modify the code as follows:

import re
import urllib

def getHtml(url):
  page = urllib.urlopen(url)
  html = page.read()
  return html

def getImg(html):
  reg = r'src="(.+?\.jpg)" pic_ext'
  imgre = re.compile(reg)
  imglist = re.findall(imgre,html)
  return imglist   
  
html = getHtml("http://tieba.baidu.com/p/2460150866")
print getImg(html)

We have also created the getImg() function, which is used to filter the required image links in the entire page obtained. The re module mainly contains regular expressions:

re.compile() can compile a regular expression into a regular expression object.

The

re.findall() method reads data containing imgre (regular expression) in html.

Running the script will get the URL address of the image contained in the entire page.

Three, save the page filtered data locally

Traverse the filtered image addresses through a for loop and save them locally. The code is as follows:

#coding=utf-8
import urllib
import re

def getHtml(url):
  page = urllib.urlopen(url)
  html = page.read()
  return html

def getImg(html):
  reg = r'src="(.+?\.jpg)" pic_ext'
  imgre = re.compile(reg)
  imglist = re.findall(imgre,html)
  x = 0
  for imgurl in imglist:
    urllib.urlretrieve(imgurl,'%s.jpg' % x)
    x+=1


html = getHtml("http://tieba.baidu.com/p/2460150866")

print getImg(html)

The core here is to use the urllib.urlretrieve() method to directly download remote data to the local.

Traverse the obtained image connections through a for loop. In order to make the file name of the image look more standardized, rename it. The naming rule is to add 1 to the x variable. The save location defaults to the program's storage directory.

After the program is completed, you will see the files downloaded to the local directory.

Thanks for reading, I hope it can help everyone, thank you for your support of this site!

Statement
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
Python: compiler or Interpreter?Python: compiler or Interpreter?May 13, 2025 am 12:10 AM

Python is an interpreted language, but it also includes the compilation process. 1) Python code is first compiled into bytecode. 2) Bytecode is interpreted and executed by Python virtual machine. 3) This hybrid mechanism makes Python both flexible and efficient, but not as fast as a fully compiled language.

Python For Loop vs While Loop: When to Use Which?Python For Loop vs While Loop: When to Use Which?May 13, 2025 am 12:07 AM

Useaforloopwheniteratingoverasequenceorforaspecificnumberoftimes;useawhileloopwhencontinuinguntilaconditionismet.Forloopsareidealforknownsequences,whilewhileloopssuitsituationswithundeterminediterations.

Python loops: The most common errorsPython loops: The most common errorsMay 13, 2025 am 12:07 AM

Pythonloopscanleadtoerrorslikeinfiniteloops,modifyinglistsduringiteration,off-by-oneerrors,zero-indexingissues,andnestedloopinefficiencies.Toavoidthese:1)Use'i

For loop and while loop in Python: What are the advantages of each?For loop and while loop in Python: What are the advantages of each?May 13, 2025 am 12:01 AM

Forloopsareadvantageousforknowniterationsandsequences,offeringsimplicityandreadability;whileloopsareidealfordynamicconditionsandunknowniterations,providingcontrolovertermination.1)Forloopsareperfectforiteratingoverlists,tuples,orstrings,directlyacces

Python: A Deep Dive into Compilation and InterpretationPython: A Deep Dive into Compilation and InterpretationMay 12, 2025 am 12:14 AM

Pythonusesahybridmodelofcompilationandinterpretation:1)ThePythoninterpretercompilessourcecodeintoplatform-independentbytecode.2)ThePythonVirtualMachine(PVM)thenexecutesthisbytecode,balancingeaseofusewithperformance.

Is Python an interpreted or a compiled language, and why does it matter?Is Python an interpreted or a compiled language, and why does it matter?May 12, 2025 am 12:09 AM

Pythonisbothinterpretedandcompiled.1)It'scompiledtobytecodeforportabilityacrossplatforms.2)Thebytecodeistheninterpreted,allowingfordynamictypingandrapiddevelopment,thoughitmaybeslowerthanfullycompiledlanguages.

For Loop vs While Loop in Python: Key Differences ExplainedFor Loop vs While Loop in Python: Key Differences ExplainedMay 12, 2025 am 12:08 AM

Forloopsareidealwhenyouknowthenumberofiterationsinadvance,whilewhileloopsarebetterforsituationswhereyouneedtoloopuntilaconditionismet.Forloopsaremoreefficientandreadable,suitableforiteratingoversequences,whereaswhileloopsoffermorecontrolandareusefulf

For and While loops: a practical guideFor and While loops: a practical guideMay 12, 2025 am 12:07 AM

Forloopsareusedwhenthenumberofiterationsisknowninadvance,whilewhileloopsareusedwhentheiterationsdependonacondition.1)Forloopsareidealforiteratingoversequenceslikelistsorarrays.2)Whileloopsaresuitableforscenarioswheretheloopcontinuesuntilaspecificcond

See all articles

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

Hot Tools

MinGW - Minimalist GNU for Windows

MinGW - Minimalist GNU for Windows

This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

Dreamweaver Mac version

Dreamweaver Mac version

Visual web development tools

MantisBT

MantisBT

Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

WebStorm Mac version

WebStorm Mac version

Useful JavaScript development tools

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment