爬取某网站计算机类图书

网页链接：

https://www.ptpress.com.cn/shopping/search?tag=search&orderstr=hot&leve11-75424c57-6dd7-4d1f-b6b9-8e95773c0593

一、为了完成爬取数据，需要进行以下步骤

1.在浏览器中打开页面，选择"计算机"

2.可以看到大量的"计算机"相关书籍，右键点击"检查"

3.刷新页面，点击下一页，查看url

4.点击"Response",查看json格式中的信息，发现与要爬取的书籍信息一致

5.划到最低端可以发现计算机类图书查看页数（570页）

6.查看Date格式

7.根据书籍详情来爬取相关信息

二、代码部分

1.将爬取内容放入打印并放入excel表格中

import requests
import re
import datetime
from time import sleep
import pandas as pd
 
S = "bookLink"
 
headers = {
    'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 '
                 '(KHTML, like Gecko) Chrome/95.0.4638.69 Safari/537.36 Edg/95.0.1020.44',
}
url = 'https://www.ptpress.com.cn/bookinfo/getBookListForEBTag'
book_info = []
for page in range(1,571):
    data = {
        'bookTagId':'a15a734f-0ae9-41d7-9012-6ef9de2e71c8',
        'page':f'{page}',
        'rows':'18',
        'orderStr':'publish'
    }
    response = requests.post(url,data=data,headers=headers)
    data = response.json()
 
    author = data["data"]["data"][0]["author"]
    isbn = data["data"]["data"][0]["isbn"]
    publish = datetime.datetime.strptime(
        data["data"]["data"][0]["publishDate"],"%Y%m"
    )
    discountPrice = data["data"]["data"][0]["discountPrice"]
    bookDiscount = data["data"]["data"][0]["bookDiscount"]
    price = data["data"]["data"][0]["price"]
    bookId = data["data"]["data"][0]["bookId"]
    executiveEditor = data["data"]["data"][0]["executiveEditor"]
    bookName = data["data"]["data"][0]["bookName"]
    picPath = data["data"]["data"][0]["picPath"]
    bookLink = "https://www.ptpress.com.cn/shopping/buy?bookId=" + bookId
 
    book_info.append({
        "author":author,
        "isbn":isbn,
        "publish":publish,
        "discountPrice":discountPrice,
        "bookDiscount":bookDiscount,
        "price":price,
        "bookId":bookId,
        "executiveEditor":executiveEditor,
        "bookName":bookName,
        "picPath":picPath,
        "bookLink":bookLink
    })
    print(f"第{page}页爬取成功！")
    sleep(1)
 
print(book_info)
 
# 将数据保存到Excel文件中
df = pd.DataFrame(book_info)
df.to_excel("book_info.xlsx", index=False)

爬取结果：

2.将爬取内容放入打印并放入csv文件中

import requests
import re
import datetime
from time import sleep
import pandas as pd
import csv
 
S = "bookLink"
 
headers = {
    'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 '
                 '(KHTML, like Gecko) Chrome/95.0.4638.69 Safari/537.36 Edg/95.0.1020.44',
}
url = 'https://www.ptpress.com.cn/bookinfo/getBookListForEBTag'
book_info = []
for page in range(1,571):
    data = {
        'bookTagId':'a15a734f-0ae9-41d7-9012-6ef9de2e71c8',
        'page':f'{page}',
        'rows':'18',
        'orderStr':'publish'
    }
    response = requests.post(url,data=data,headers=headers)
    data = response.json()
 
    author = data["data"]["data"][0]["author"]
    isbn = data["data"]["data"][0]["isbn"]
    publish = datetime.datetime.strptime(
        data["data"]["data"][0]["publishDate"],"%Y%m"
    )
    discountPrice = data["data"]["data"][0]["discountPrice"]
    bookDiscount = data["data"]["data"][0]["bookDiscount"]
    price = data["data"]["data"][0]["price"]
    bookId = data["data"]["data"][0]["bookId"]
    executiveEditor = data["data"]["data"][0]["executiveEditor"]
    bookName = data["data"]["data"][0]["bookName"]
    picPath = data["data"]["data"][0]["picPath"]
    bookLink = "https://www.ptpress.com.cn/shopping/buy?bookId=" + bookId
 
    book_info.append({
        "author":author,
        "isbn":isbn,
        "publish":publish,
        "discountPrice":discountPrice,
        "bookDiscount":bookDiscount,
        "price":price,
        "bookId":bookId,
        "executiveEditor":executiveEditor,
        "bookName":bookName,
        "picPath":picPath,
        "bookLink":bookLink
    })
    print(f"第{page}页爬取成功！")
    sleep(1)
 
print(book_info)
 
# 将数据保存到csv文件中
df = pd.DataFrame(book_info)
df.to_csv("人民邮电计算机书本信息.csv", index=False)

爬取结果：

3.将爬取内容放入打印并放入MySQL数据库中

import requests
import re
import datetime
from time import sleep
import pandas as pd
import csv
import pymysql
 
S = "bookLink"
 
headers = {
    'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 '
                 '(KHTML, like Gecko) Chrome/95.0.4638.69 Safari/537.36 Edg/95.0.1020.44',
}
url = 'https://www.ptpress.com.cn/bookinfo/getBookListForEBTag'
book_info = []
for page in range(1,571):
    data = {
        'bookTagId':'a15a734f-0ae9-41d7-9012-6ef9de2e71c8',
        'page':f'{page}',
        'rows':'18',
        'orderStr':'publish'
    }
    response = requests.post(url,data=data,headers=headers)
    data = response.json()
 
    author = data["data"]["data"][0]["author"]
    isbn = data["data"]["data"][0]["isbn"]
    publish = datetime.datetime.strptime(
        data["data"]["data"][0]["publishDate"],"%Y%m"
    )
    discountPrice = data["data"]["data"][0]["discountPrice"]
    bookDiscount = data["data"]["data"][0]["bookDiscount"]
    price = data["data"]["data"][0]["price"]
    bookId = data["data"]["data"][0]["bookId"]
    executiveEditor = data["data"]["data"][0]["executiveEditor"]
    bookName = data["data"]["data"][0]["bookName"]
    picPath = data["data"]["data"][0]["picPath"]
    bookLink = "https://www.ptpress.com.cn/shopping/buy?bookId=" + bookId
 
    book_info.append({
        "author":author,
        "isbn":isbn,
        "publish":publish,
        "discountPrice":discountPrice,
        "bookDiscount":bookDiscount,
        "price":price,
        "bookId":bookId,
        "executiveEditor":executiveEditor,
        "bookName":bookName,
        "picPath":picPath,
        "bookLink":bookLink
    })
    print(f"第{page}页爬取成功！")
    sleep(1)
 
print(book_info)
 
# 将数据保存到MySQL数据库中
conn = pymysql.connect(host='localhost', user='root', password='your_password', db='your_database', charset='utf8')
cursor = conn.cursor()
 
# 创建表格booklist
cursor.execute('CREATE TABLE IF NOT EXISTS booklist (author VARCHAR(255), isbn VARCHAR(255), publish DATE, discountPrice FLOAT, bookDiscount FLOAT, price FLOAT, bookId VARCHAR(255), executiveEditor VARCHAR(255), bookName VARCHAR(255), picPath VARCHAR(255), bookLink VARCHAR(255))')
 
# 将数据插入到表格booklist中
for book in book_info:
    sql = f"INSERT INTO booklist (author, isbn, publish, discountPrice, bookDiscount, price, bookId, executiveEditor, bookName, picPath, bookLink) VALUES ('{book['author']}', '{book['isbn']}', '{book['publish'].strftime('%Y-%m-%d')}', {book['discountPrice']}, {book['bookDiscount']}, {book['price']}, '{book['bookId']}', '{book['executiveEditor']}', '{book['bookName']}', '{book['picPath']}', '{book['bookLink']}')"
    cursor.execute(sql)
 
# 提交事务
conn.commit()
 
# 关闭连接
cursor.close()
conn.close()

爬取结果：