爬取大众点评评论

# -*- coding: utf-8 -*-
# @Time    : 2020/12/2 9:58
# @Author  : ward
# @File    : 3.py


import re
import requests
import random
from parsel import Selector


class DaZongDianPing:

    def __init__(self):
        self.headers = {
            'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.183 Safari/537.%s' % random.randint(1, 1000000),
            'Host': 'www.dianping.com',
            "Cookie": "_lxsdk_cuid=17451850da2c8-0151b42767558d-5a40201d-1fa400-17451850da3c8; _lxsdk=17451850da2c8-0151b42767558d-5a40201d-1fa400-17451850da3c8; _hc.v=3de5d487-65ad-a36a-71b1-c2eca91f37ef.1599095509; fspop=test; s_ViewType=10; dplet=e2e81f83472f4fe27e2a8928f00d24b7; dper=7f72060feeb63c283b680d6f38a54880bd9a44235ca03a0e460480fcf5d55e5a625885d5ad489752cfeb6709c61e2f9296fe9e733dd377f255892ff076df1a1d21f866b2ca757945796d0888f0951bf12e33b34f69f96426e173c128ea192a2d; ll=7fd06e815b796be3df069dec7836c3df; ua=%E5%90%8E%E5%A4%A9%E3%80%82%E3%80%82%E3%80%82; ctu=b5785c51f597a565ad3d8e65f9b30f75b29ec4a827de86a259bfeb6fbf80ce70; aburl=1; cy=2; cye=beijing; __utma=205923334.1472379769.1606804705.1606804705.1606804705.1; __utmz=205923334.1606804705.1.1.utmcsr=(direct)|utmccn=(direct)|utmcmd=(none); __utmc=205923334; looyu_id=fcdb89be99ee3adbf016cb59105e993b84_51868%3A1; cityid=2; switchcityflashtoast=1; default_ab=citylist%3AA%3A1%7Cindex%3AA%3A3; _lx_utm=utm_source%3DBaidu%26utm_medium%3Dorganic; Hm_lvt_602b80cf8079ae6591966cc70a3940e7=1606290415,1606879423; Hm_lpvt_602b80cf8079ae6591966cc70a3940e7=1606879438; _lxsdk_s=1762174b956-be1-f70-a8f%7C%7C327",
            'Accept-Encoding': 'gzip',


        }

        self.main()

    def main(self):
        proxies_url = 'http://xxx.com/api/gettps/?orderid=910687793312312&num=1&format=json&sep=1'
        # res = requests.get(proxies_url).json()
        # print(res)
        # ip = res.get('data').get('proxy_list')[0]
        # print(ip)
        # self.proxies = {
        #     "http": "http://xx@%s/" % ip
        # }
        html = self.get_index()
        css_url, class_name = self.get_url_and_tag(html)
        di = self.get_css_and_svg(css_url, class_name)
        self.parse_index(html, di)

    def get_index(self):
        url = 'http://www.dianping.com/shop/l2xKmVcQ5nWBYCXA/review_all'
        resp = requests.get(url, headers=self.headers)
        print(resp)
        print(resp.text)
        if resp.status_code == 200:
            return resp.text

    def get_url_and_tag(self, html):
        '''获取css_url和网页中的加密字体标签的class名'''
        css_url = re.findall(r'href="(.*?svgtextcss.*?)"', html)
        if css_url:
            css_url = 'http:' + css_url[0]
            # print(css_url)
        # 加密字体的class名
        class_name = re.findall(r'<svgmtsi class="(.*?)">', html)
        return css_url, class_name

    def get_css_and_svg(self, css_url, class_name):
        '''
        获取css属性和svg地址,根据css属性查找真实数据,构建替换字典
        svg地址有3个
        cc[class^="wgx"]  电话
        bb[class^="wnu"]  地址
        svgmtsi[class^="kvg"]  评论
        '''
        # print('css_url', css_url)
        # http://s3plus.meituan.net/v1/mss_0a06a471f9514fc79c981b5466f56b91/svgtextcss/0ddbef571464748f0408df2fb2ac1756.css
        css_resp = requests.get(css_url).text.replace("
", "").replace(" ", "")
        # print("css_resp", css_resp)
        # print(css_resp)
        # 获取评论的svg地址
        svg_url = re.findall(r'svgmtsi.*?url((.*?));', css_resp)
        # print("svg_url", svg_url)
        if svg_url:
            svg_url = 'http:' + svg_url[0]
            # print(svg_url)
            svg_resp = requests.get(svg_url).text
            # print("svg_resp", svg_resp)
        # 获取css属性值  对应的坐标值
        d = {}
        for name in class_name:
            # print('class_name', name)
            coord = re.findall(r"%s{background:-(.*?)px-(.*?)px;}" % name, css_resp)
            # print("coord", coord)
            x, y = coord[0]
            css_x, css_y = int(float(x)), int(float(y))
            # 获取svg标签对应的y值,规则是svg_y>=css_y
            svg_data = Selector(svg_resp)
            tests = svg_data.xpath('//text')
            # 3.如何选择svg_y?比较y坐标,选择大于等于css_y的最接近的svg_y
            svg_y = [i.attrib.get('y') for i in tests if css_y <= int(i.attrib.get('y'))][0]
            # 根据svg_y确定具体的text的标签
            svg_text = svg_data.xpath(f'//text[@y="{svg_y}"]/text()').extract_first()
            # 4、确认SVG中的文字大小
            font_size = re.findall(r'font-size:(d+)px', svg_resp)[0]
            # 5、得到css样式vhkbvu属性映射svg的位置
            # css_x // 字体大小 的值就是数值的下标
            position = css_x // int(font_size)
            s = svg_text[position]
            d[name] = s
        # print(d)
        # 加密字体整个标签与真实值之间的字典
        di = {f'<svgmtsi class="{k}"></svgmtsi>': v for k, v in d.items()}
        return di

    def parse_index(self, html, di):
        '''解析网页数据'''
        for key, value in di.items():
            if key in html:
                html = html.replace(key, value)
                # print(html)
        selector = Selector(html)
        # 评论摘要
        # desc_li = selector.xpath('//div[@class="review-truncated-words"]/text()').extract()
        desc_li = selector.xpath('//div[@class="review-words Hide"]/text()').extract()
        for desc in desc_li:
            desc = desc.replace('	', '').replace('
', '').replace(' ', '')
            print(desc)


if __name__ == '__main__':
    a = DaZongDianPing()
原文地址:https://www.cnblogs.com/xiao-xue-di/p/14073860.html