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45 lines
2.5 KiB
45 lines
2.5 KiB
import requests
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from lxml import etree
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import csv
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# 标题，位置，房屋的格局，关注人数，单价，总价
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url = 'https://sh.lianjia.com/ershoufang/pudong/'
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headers = {
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'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36'
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}
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response = requests.get(url, headers=headers).content.decode('utf-8')
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html = etree.HTML(response)
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title_list = html.xpath("//ul[@class='sellListContent']/li//div[@class='title']/a/text()")
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address_list_1 = html.xpath("//ul[@class='sellListContent']/li//div[@class='positionInfo']/a[1]/text()")
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address_list_2 = html.xpath("//ul[@class='sellListContent']/li//div[@class='positionInfo']/a[2]/text()")
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address_list = [a_1 + '-' + a_2 for a_1, a_2 in zip(address_list_1, address_list_2)]
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pattern_pre = html.xpath("//ul[@class='sellListContent']/li//div[@class='houseInfo']/text()")
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pattern_list = [item.split('|')[0] for item in pattern_pre]
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followers_count_pre = html.xpath("//ul[@class='sellListContent']/li//div[@class='followInfo']/text()")
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followers_count_list = [item.split('人')[0] for item in followers_count_pre]
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unit_price_list = html.xpath("//ul[@class='sellListContent']/li//div[@class='unitPrice']/span/text()")
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total_price_pre = html.xpath("//ul[@class='sellListContent']/li//div[@class='totalPrice totalPrice2']/span/text()")
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total_price_list = [item + '万' for item in total_price_pre]
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house_list = list()
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for title, address, pattern, followers_count, unit_price, total_price in zip(title_list, address_list,
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pattern_list, followers_count_list,
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unit_price_list, total_price_list):
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new_dict =dict()
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new_dict['title'] = title if title else None
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new_dict['address'] = address if address else None
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new_dict['pattern'] = pattern if pattern else None
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new_dict['followers_count'] = followers_count if followers_count else None
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new_dict['unit_price'] = unit_price if unit_price else None
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new_dict['total_price'] = total_price if total_price else None
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house_list.append(new_dict)
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for item in house_list:
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print(item)
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with open('lxw.csv',"w",encoding='utf-8',newline='') as f:
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w = csv.writer(f)
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w.writerow(["标题","地址","房屋格局","关注人数","单价","总价"])
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w.writerows([list(item.values()) for item in house_list]) |