python二手房使用教程_python爬虫爬取链家二手房信息

好的，下面是一个简单的Python爬虫爬取链家二手房信息的教程：

1. 安装必要的库：requests、BeautifulSoup4、pandas

pip install requests
pip install BeautifulSoup4
pip install pandas

2. 导入库

import requests
from bs4 import BeautifulSoup
import pandas as pd

3. 定义函数获取页面信息

def get_page(url):
    headers = {
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3'}
    response = requests.get(url, headers=headers)
    response.encoding = 'utf-8'
    html = response.text
    soup = BeautifulSoup(html, 'html.parser')
    return soup

4. 定义函数获取房源信息

def get_house_info(soup):
    house_list = []
    house_nodes = soup.select('.sellListContent .info')
    for house_node in house_nodes:
        house = {}
        house['title'] = house_node.select('.title a')[0].get_text().strip()
        house['address'] = house_node.select('.flood .positionInfo a')[0].get_text().strip()
        house['info'] = house_node.select('.address .houseInfo')[0].get_text().strip()
        house['area'] = house_node.select('.address .area')[0].get_text().strip()
        house['total_price'] = house_node.select('.priceInfo .totalPrice span')[0].get_text().strip()
        house['unit_price'] = house_node.select('.priceInfo .unitPrice span')[0].get_text().strip()
        house_list.append(house)
    return house_list

5. 定义主函数

def main():
    url = 'https://bj.lianjia.com/ershoufang/'
    soup = get_page(url)
    total_pages = int(soup.select('.page-box .totalPage')[0].get_text())
    house_list = []
    for page in range(1, total_pages + 1):
        page_url = url + 'pg{}/'.format(page)
        soup = get_page(page_url)
        house_list += get_house_info(soup)
    df = pd.DataFrame(house_list)
    df.to_csv('house.csv', index=False, encoding='utf-8')

6. 运行主函数

if __name__ == '__main__':
    main()

这个爬虫会爬取北京链家二手房的前100页房源信息，并将结果保存在csv文件中。你可以根据自己的需求修改代码。需要注意的是，爬虫是一种不受欢迎的行为，你需要遵守网站的规则，尊重他人的权益。