Preface

Hi. , Hello, everyone , This is the demon king ~

This code is provided by : Qingdeng Education - Self visiting teacher

Environment use :

• Python 3.8

• Pycharm Try to keep the version consistent ~

Module USES :

• requests >>> pip install requests

• parsel >>> pip install parsel

If installed python Third-party module :

1. win + R Input cmd Click ok , Enter the installation command pip install Module name (pip install requests) enter

2. stay pycharm Click on the Terminal( terminal ) Enter the installation command

Installation failure reason :

Failure one : pip Not an internal command

resolvent : Set the environment variable

Failure two : There are a lot of red reports (read time out)

resolvent : Because the network link timed out , You need to switch the mirror source
for example ：pip3 install -i https://pypi.doubanio.com/simple/ Module name

Failure three : cmd It shows that it has been installed , Or the installation is successful , But in pycharm It still can't be imported

resolvent : Multiple... May be installed python edition (anaconda perhaps python Just install one ) Just uninstall one
Or you pycharm Inside python The interpreter is not set

How to configure pycharm Inside python Interpreter ?

1. choice file( file ) >>> setting( Set up ) >>> Project( project ) >>> python interpreter(python Interpreter )

2. Click on the gear , choice add

3. add to python The installation path

pycharm How to install plug-ins ?

1. choice file( file ) >>> setting( Set up ) >>> Plugins( plug-in unit )

2. Click on Marketplace Enter the name of the plug-in you want to install such as : Translation plug-ins Input translation / Chinese plug-in Input Chinese

3. Select the corresponding plug-in and click install( install ) that will do

4. After successful installation Yes, it will pop up restart pycharm The option to Click ok , Restart to take effect

   

Basic ideas and processes < Universal >:

One . Data source analysis

1. Clear requirements

2. Through developer tools for packet capture analysis , analysis manhua Where does the data content come from a sheet manhua picture <url Address > ----> Get all of this chapter manhua Where does the content come from

Two . Code implementation steps process

1. Send a request , For the image data packet just analyzed url Address send request

2. get data , Get the response data returned by the server response

3. Parsing data , Extract all manhau picture url Address

4. Save the data , hold manhua Save contents to local folder

Collect a comic book

Collect multiple chapters manhua Content —> To find more manhau Data packets url Address —> Analysis request url Address parameter change —> chapter ID change
Just get all manhua chapter ID That's all right. —> All directory pages List page To analyze and find

1. Send a request , about manhau The directory page sends a request

2. get data , Get the response data returned by the server response

3. Parsing data , Extract all manhua chapter ID as well as manhua title

   

Code

Due to the audit mechanism , I deleted some things from the website , Xiao Kenai can add it by themselves , It's easy
There are two more words , I used Pinyin instead of , You can change back to the text ~
If there is a little lazy or not able to change, Xiao Kenai can also confide in me , I sent you ~
（ Or view and click on the homepage （ article ） The mobile text on the left is free ~（ You may need to row down ））

The import module

# Import data request module import requests# Import format output module import pprint# Import data analysis module import parsel# Import file operation module import os

Determine web address

link = ''

Add camouflage

# headers Request header camouflage headers = { # user-agent: The user agent Represents the basic identity of the browser 'user-agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/101.0.0.0 Safari/537.36',}

Send a request

response_1 = requests.get(url=link, headers=headers)

get data

# print(response_1.text)# Parsing data What is it like to get data , Choose the most appropriate parsing method selector = parsel.Selector(response_1.text)lis = selector.css('.chapter__list-box .j-chapter-item')

Get the name

name = selector.css('.de-info__box .comic-title::text').get()

Automatically create files

filename = f'{name}\\'if not os.path.exists(filename): os.mkdir(filename)for li in list(reversed(lis)): chapter_id = li.css('a::attr(data-chapterid)').get() chapter_title = li.css('a::text').getall()[-1].strip() print(chapter_id, chapter_title)

Send a request , Simulate browser for url Address send request
What follows the question mark , All belong to this url Request parameters for , You can use the dictionary alone to accept
use python Code simulation browser , It is necessary to use headers Request header —> You can copy and paste in the developer tool
user-agent: The user agent Represents the basic identity of the browser
How to quickly replace in batches :
Select the content to replace ctrl + R Enter the regular expression command , Click Replace All

 (.*?): (.*) '$1': '$2',

request url Address

—> Copy and paste

 # https://comic..com/chapter/content/v1/?chapter_id=996914&comic_id=211471&format=1&quality=1&sign=c2f14c1bdb0505254416907f504b4e03&type=1&uid=55123713 url = ''

Request parameters

—> Copy and paste

 data = { 'chapter_id': chapter_id, 'comic_id': '211471', 'format': '1', 'quality': '1', 'sign': 'c2f14c1bdb0505254416907f504b4e03', 'type': '1', 'uid': '55123713', }

Request header

To disguise python Code —> Copy and paste

 headers = { 'user-agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/101.0.0.0 Safari/537.36' }

Send a request

 response = requests.get(url=url, params=data, headers=headers) # <Response [200]> The response object , 200 Status code Indicates that the request was successful print(response) # get data , Get the response data returned by the server ```python # response.text Get text data < data type : character string > response.json() obtain json Dictionary data < data type : Dictionaries > print(response.json())

Parsing data

— > What is it like to get data , Choose the most appropriate parsing method Dictionary values , Extract data contents according to key value pairs
According to the content to the left of the colon [ key ], Extract the content to the right of the colon [ value ] —> Key value pair value Key value pairs are separated by commas

 image_list = response.json()['data']['page'] # list num = 1 for image in image_list: # You can put the list < A box for things > The elements inside , One by one img_url =image['image'] print(img_url)

Save the data

—> It is also necessary to correct the picture url Address send request , And get its data content response.content Get binary data

 img_content = requests.get(url=img_url, headers=headers).content # Save the data , Save the picture shipin Audio Specific format files <zip ppt..> Get binary data content # mode Mode saving method wb w write in b Binary system wb Write in binary mode with open(filename + chapter_title + str(num) + '.jpg', mode='wb') as f: f.write(img_content) num += 1

Tail language

There is no fast track to success , There is no highway to happiness .
All the successes , All come from tireless efforts and running , All happiness comes from ordinary struggle and persistence
—— Inspirational quotes
This article is finished ~ Anyone who is interested can try
Your support is my biggest motivation ！！ Remember Sanlian ~ Welcome to read previous articles ~

author ： The devil will not cry

Game programming , A game development favorite ~

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