用requests库和xpath来获取‘百度热搜’https://top.baidu.com/board?tab=realtime排行榜中，标题，内容，图片链接和热搜指数，并存储为.csv/.txt格式。

使用Python的`requests`库可以发送HTTP请求获取网页内容，而`lxml`库（它基于`libxml2`和`libxslt`）结合`XPath`语法可以方便地从HTML文档中提取数据。以下是一个基本步骤的示例：

1. 首先，你需要安装所需的库，如果尚未安装，可以通过pip安装：

   pip install requests lxml

2. 然后编写一个Python脚本来完成任务：

import requests
from bs4 import BeautifulSoup
from lxml import etree
import csv

# 发送GET请求
url = "https://top.baidu.com/board?tab=realtime"
response = requests.get(url)

# 检查请求是否成功
if response.status_code == 200:
    # 解析HTML响应
    html_content = response.text
    parser = etree.HTMLParser()
    soup = BeautifulSoup(html_content, 'lxml', parser=parser)
    
    # 使用XPath查找需要的数据
    titles = soup.xpath('//div[@class="hot-item-title"]//a/text()')
    contents = soup.xpath('//div[@class="hot-item-title"]//span[@class="hot-item-content"]/text()')
    img_links = soup.xpath('//div[@class="hot-item-title"]//img/@src')

    # 获取热搜指数，这里假设指数在每个元素的某个特定位置，例如"hot-score"属性
    heat_indices = [el.get('heat-score') for el in soup.xpath('//div[@class="hot-item-title"]')]

    # 将数据存储到CSV文件
    with open('titles_contents.csv', 'w', newline='', encoding='utf-8') as f:
        writer = csv.writer(f)
        writer.writerow(['标题', '内容', '图片链接', '热搜指数'])
        for title, content, img_link, heat_index in zip(titles, contents, img_links, heat_indices):
            writer.writerow([title, content, img_link, heat_index])

    # 数据也可以存储到TXT文件，每行一条记录
    with open('titles_contents.txt', 'w', encoding='utf-8') as f:
        for title, content, img_link, heat_index in zip(titles, contents, img_links, heat_indices):
            f.write(f'标题: {title}\n内容: {content}\n图片链接: {img_link}\n热搜指数: {heat_index}\n\n')

else:
    print("请求失败，状态码:", response.status_code)