一整段利用python进行逆向分析获取数据的代码及解析，实现目标如下：1.获取“新书推荐”图书名称;2.获取图书ID;3.获取图书照片网址;4.存储数据。

以下是一个利用Python进行逆向分析获取数据的代码，实现目标为获取“新书推荐”图书名称、图书ID、图书照片网址并存储数据。

首先，我们需要导入需要的Python第三方库：

import requests
from bs4 import BeautifulSoup

接下来，我们需要向目标网站发送请求，获取HTML源代码：

url = 'https://www.example.com/new_books'
response = requests.get(url)
html = response.text

然后，我们需要使用BeautifulSoup库解析HTML源代码，获取我们需要的数据：

soup = BeautifulSoup(html, 'html.parser')
books = soup.find_all(class_='new_book')

book_names = []
book_ids = []
book_photos = []

for book in books:
    book_name = book.find(class_='book_name').text.strip()
    book_id = book.find(class_='book_id').text.strip()
    book_photo = book.find('img')['src']

    book_names.append(book_name)
    book_ids.append(book_id)
    book_photos.append(book_photo)

最后，我们可以将数据存储到文件中，例如CSV文件：

import csv

with open('new_books.csv', 'w', newline='', encoding='utf-8') as file:
    writer = csv.writer(file)
    writer.writerow(['Book Name', 'Book ID', 'Book Photo'])

    for i in range(len(book_names)):
        writer.writerow([book_names[i], book_ids[i], book_photos[i]])

完整代码如下：

import requests
from bs4 import BeautifulSoup
import csv

url = 'https://www.example.com/new_books'
response = requests.get(url)
html = response.text

soup = BeautifulSoup(html, 'html.parser')
books = soup.find_all(class_='new_book')

book_names = []
book_ids = []
book_photos = []

for book in books:
    book_name = book.find(class_='book_name').text.strip()
    book_id = book.find(class_='book_id').text.strip()
    book_photo = book.find('img')['src']

    book_names.append(book_name)
    book_ids.append(book_id)
    book_photos.append(book_photo)

with open('new_books.csv', 'w', newline='', encoding='utf-8') as file:
    writer = csv.writer(file)
    writer.writerow(['Book Name', 'Book ID', 'Book Photo'])

    for i in range(len(book_names)):
        writer.writerow([book_names[i], book_ids[i], book_photos[i]])

在运行完这段代码后，我们就能得到一个名为new_books.csv的文件，其中包含了我们所需要的数据。