selenium+pyquery爬取房源数据

代码报错,怎么将爬取的数据保存到数据库中,怎么跳转页面实现多页面爬取

题主可参考用requests+pyquery获取房源数据的例子:
https://blog.csdn.net/weixin_44530636/article/details/95173649

你好爬取房源,代码报错,你能将代码报错部分贴出来吗,
如果是链家
可以参考下面代码爬取哟

import requests, csv, parsel
if __name__ == '__main__':
    
    url = 'https://tj.lianjia.com/ershoufang/'
    headers = {
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.138 Safari/537.36'
    }
    response = requests.get(url=url, headers=headers)
    print(response.text)
    selector = parsel.Selector(response.text)
    lis = selector.css('.sellListContent li')
    for page in range(1, 101):
        url = f'https://tj.lianjia.com/ershoufang/pg{page}/'
        print(url)
        for li in lis:
            # 标题
            title = li.css('.title a::text').get()
            if title:
                # 地址
                positionInfo = li.css('.positionInfo a::text').getall()
                # 小区
                community = positionInfo[0]
                # 地名
                address = positionInfo[1]
                # 房子基本信息
                houseInfo = li.css('.houseInfo::text').get()
                # 房价
                Price = li.css('.totalPrice span::text').get() + '万'
                # 单价
                unitPrice = li.css('.unitPrice span::text').get().replace('单价', '')
                # 发布信息
                followInfo = li.css('.followInfo::text').get()
                dit = {
                    '标题': title,
                    '小区': community,
                    '地名': address,
                    '房子基本信息': houseInfo,
                    '房价': Price,
                    '单价': unitPrice,
                    '发布信息': followInfo,
                }
                print(dit)
                # 创建文件
                f = open('二手房数据.csv', mode='a', encoding='utf-8', newline='')
                csv_writer = csv.DictWriter(f, fieldnames=['标题', '小区', '地名', '房子基本信息', '房价', '单价', '发布信息'])
                # 写入表头
                csv_writer.writeheader()
                csv_writer.writerow(dit)

亲,这说的也太笼统了

您好,我是有问必答小助手,您的问题已经有小伙伴帮您解答,感谢您对有问必答的支持与关注!
PS:问答VIP年卡 【限时加赠:IT技术图书免费领】,了解详情>>> https://vip.csdn.net/askvip?utm_source=1146287632