import requests from bs4 import BeautifulSoup def get_total_count(url): headers = { 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/88.0.4324.150 Safari/537.36' } response = requests.get(url, headers=headers) soup = BeautifulSoup(response.text, 'html.parser') total_count = soup.find('h2', class_='total fl').find('span').get_text() return int(total_count) def crawl_lianjia(): districts = ['wanzhou', 'yubei', 'jiangbei', 'shapingba', 'jiulongpo'] base_url = 'https://cq.lianjia.com/ershoufang/{}/pg{}' total_counts = {} for district in districts: count = 0 for page in range(1, 10): url = base_url.format(district, page) count += get_total_count(url) total_counts[district] = count return total_counts result = crawl_lianjia() print(result)修改代码只爬取近一年的

好的，我已经更新了代码，使其只爬取链家网站上重庆地区万州、渝北、江北、沙坪坝、纪录片地区近一年内的二手房销售总数。请注意，由于链家网站的限制，我们无法直接获取近一年的数据，而是通过限制爬取的页面数量来近似实现。以下是更新后的代码：

import requests
from bs4 import BeautifulSoup
from datetime import datetime, timedelta

def get_total_count(url):
    headers = {
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/88.0.4324.150 Safari/537.36'
    }
    response = requests.get(url, headers=headers)
    soup = BeautifulSoup(response.text, 'html.parser')
    
    total_count = soup.find('h2', class_='total fl').find('span').get_text()
    return int(total_count)

def crawl_lianjia():
    districts = ['wanzhou', 'yubei', 'jiangbei', 'shapingba', 'jiulongpo']
    base_url = 'https://cq.lianjia.com/ershoufang/{}/pg{}'
    total_counts = {}

    for district in districts:
        count = 0
        today = datetime.now().date()
        one_year_ago = today - timedelta(days=365)
        
        for page in range(1, 10):
            url = base_url.format(district, page)
            if page == 1:
                url += '/c5011000010899/'
            response = requests.get(url)
            soup = BeautifulSoup(response.text, 'html.parser')
            house_list = soup.find_all('div', class_='info clear')
            
            for house in house_list:
                date_str = house.find('div', class_='dealDate').get_text()
                date = datetime.strptime(date_str, '%Y.%m.%d').date()
                if date < one_year_ago:
                    break
                count += 1
        
        total_counts[district] = count

    return total_counts

result = crawl_lianjia()
print(result)

请确保你已经安装了requests、BeautifulSoup库和Python的datetime模块。运行以上代码，你将得到一个字典，其中包含重庆地区万州、渝北、江北、沙坪坝、纪录片地区近一年内的二手房销售总数。每个区的内容只爬取了9页，并且限制了爬取的房屋交易日期为近一年内。