【情人节特别篇】想知道玫瑰在哪些城市最畅销嘛？，2024年最新最新整理

本文链接：https://blog.youkuaiyun.com/2401_84302538/article/details/137935391

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正文

‘wm_logintoken’: ‘xxx’,
‘userToken’: ‘xxx’,
‘req_time’: 1613274108532,
‘waimai_sign’: ‘%2F’,
‘wm_longitude’: 116938974,
‘wm_latitude’: 30109265,
‘wm_actual_longitude’: 0,
‘wm_actual_latitude’: 0,
‘userid’: ‘xxx’,
‘user_id’: ‘xxx’,
‘uniqueid’: ‘xxx’,
‘open_id’: ‘xxx’,
‘openidcipher’: ‘xxx’,
‘uuid’: ‘xxx’,
‘rc_platform’: 13,
‘platform’: 13,
‘rc_app’: 0,
‘partner’: 214,
‘riskLevel’: 71,
‘keyword’: ‘鲜花’,
‘page_index’: 0,
‘category_type’: 101578,
‘entrance_id’: 101578,
‘sort_type’: 0,
‘search_global_id’: ‘274108528141A972426FC37CA2E81D27BA604D85428455EA33E345156F93CDB59C024AE9F’,
‘wm_ctype’: ‘mt_weapp’}

注：xxx代表用户登录状态以及校验等相关参数，我们大可不必深究它们是怎么生成的，直接从Fiddler中将其复制出来即可~

其中，keyword表示搜索的关键词，page_index表示搜索结果的页码（每次返回20条数据），wm_longitude和wm_latitude分别表示用户所在的经纬度。通过测试可以知道，我们只需要改变经纬度便能得到不同地区的数据，那么可以定义如下函数：

def get_info(keyword, pos, page=0):
‘’’
获取外卖商品信息
‘’’
url = ‘https://wx-shangou.meituan.com/mtweapp/v2/search/v9/poiwithfilter?ui=xxx’
headers = {} # 从Fiddler直接复制即可
data = {‘wm_dtype’: ‘microsoft’,
‘wm_dversion’: ‘7.0.9’,
‘wm_uuid’: ‘xxx’,
‘wm_visitid’: ‘xxx’,
‘wm_appversion’: ‘5.13.26’,
‘wm_logintoken’: ‘xxx’,
‘userToken’: ‘xxx’,
‘req_time’: 1613274108532,
‘waimai_sign’: ‘%2F’,
‘wm_longitude’: int(pos[0]*10**6),
‘wm_latitude’: int(pos[1]*10**6),
‘wm_actual_longitude’: 0,
‘wm_actual_latitude’: 0,
‘userid’: ‘xxx’,
‘user_id’: ‘xxx’,
‘uniqueid’: ‘xxx’,
‘open_id’: ‘xxx’,
‘openidcipher’: ‘xxx’,
‘uuid’: ‘xxx’,
‘rc_platform’: 13,
‘platform’: 13,
‘rc_app’: 0,
‘partner’: 214,
‘riskLevel’: 71,
‘keyword’: keyword,
‘page_index’: page,
‘category_type’: 101578,
‘entrance_id’: 101578,
‘sort_type’: 0,
‘search_global_id’: ‘274108528141A972426FC37CA2E81D27BA604D85428455EA33E345156F93CDB59C024AE9F’,
‘wm_ctype’: ‘mt_weapp’}
res = requests.post(url, headers=headers, data=data)
res_json = res.json()
return res_json

然而，我们要怎样才能得到城市对应的经纬度呢？

2.获取城市经纬度

通过高德地图的坐标捡拾系统，便能实现地理位置与经纬度的转换。由于接口很简单，这里就不详细介绍了，同样是通过抓包分析，可以定义如下转换函数：

def get_lonlat(keywords):
‘’’
获取经纬度
‘’’
cookies = {
‘cna’: ‘2voBF5IOjUUCAXWIWXVuwr8W’,
‘UM_distinctid’: ‘1767bba477b6bd-00c663bca533b3-1a347740-e1000-1767bba477c515’,
‘isg’: ‘BGhoxgK9o-s-8I9R8e9xGWcsOlZ6kcybbxhnvCKZpePsfQjn1qD8K_v0cZWN1oRz’,
‘l’: ‘eBOY0AmuO96VEuAdBOfalurza779_IOYYuPzaNbMiOCP_CCp5q8cWZ-AMOL9Cn1Vh6UXc37LhhQJBeYBqMIKnxvOKVLdi6Mmn’,
‘tfstk’: ‘cFtVBg4K3mnq_Csdmisa5HrbndsAZ8QG8uWOoFwkl8RrRN_li2NOE50PU9UjqZf…’,
}
headers = {
‘User-Agent’: ‘Mozilla/5.0 (Windows NT 6.3; Win64; x64; rv:85.0) Gecko/20100101 Firefox/85.0’,
‘Accept’: ‘*/*’,
‘Accept-Language’: ‘zh-CN,zh;q=0.8,zh-TW;q=0.7,zh-HK;q=0.5,en-US;q=0.3,en;q=0.2’,
‘Referer’: ‘https://lbs.amap.com/console/show/picker’,
‘Connection’: ‘keep-alive’,
}
params = (
(‘s’, ‘rsv3’),
(‘children’, ‘’),
(‘key’, ‘e07ffdf58c8e8672037bef0d6cae7d4a’),
(‘page’, ‘1’),
(‘offset’, ‘10’),
(‘city’, ‘110000’),
(‘language’, ‘zh_cn’),
(‘callback’, ‘jsonp_160108_’),
(‘platform’, ‘JS’),
(‘logversion’, ‘2.0’),
(‘sdkversion’, ‘1.3’),
(‘appname’, ‘https://lbs.amap.com/console/show/picker’),
(‘csid’, ‘6DCF386C-8777-4724-AE49-8E688CCEF75A’),
(‘keywords’, keywords),
)
res = requests.get(‘https://restapi.amap.com/v3/place/text’, headers=headers, params=params, cookies=cookies)
html = res.text
data = re.findall(‘((.*))’,html)[0]
data = json.loads(data)
location = data[‘pois’][0][‘location’]
lon = float(location.split(‘,’)[0])
lat = float(location.split(‘,’)[1])
return (lon, lat)

3.完整代码

从每个省级行政区中选出一个城市（即省会），创建一个txt用于将其存储：
在这里插入图片描述
完整的数据爬取代码如下：

-- coding: utf-8 --

“”"
Created on Sun Feb 14 11:54:59 2021

@author: kimol_love
“”"
import os
import re
import json
import requests
import pandas as pd

def get_info(keyword, pos, page=0):
‘’’
获取外卖商品信息
‘’’
url = ‘https://wx-shangou.meituan.com/mtweapp/v2/search/v9/poiwithfilter?ui=xxx’ # xxx处需要相应改
headers = {‘Connection’: ‘keep-alive’,
‘Content-Length’: ‘1191’,
‘User-Agent’: ‘Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.143 Safari/537.36 MicroMessenger/7.0.9.501 NetType/WIFI MiniProgramEnv/Windows WindowsWechat’,
‘_deferreds’: ‘[object Array]’,
‘content-type’: ‘application/x-www-form-urlencoded’,
‘uuid’: ‘xxx’,
‘wm-ctype’: ‘mt_weapp’,
‘Accept-Encoding’: ‘gzip, deflate, br’}
data = {‘wm_dtype’: ‘microsoft’,
‘wm_dversion’: ‘7.0.9’,
‘wm_uuid’: ‘xxx’,
‘wm_visitid’: ‘xxx’,
‘wm_appversion’: ‘5.13.26’,
‘wm_logintoken’: ‘xxx’,
‘userToken’: ‘xxx’,
‘req_time’: 1613274108532,
‘waimai_sign’: ‘%2F’,
‘wm_longitude’: int(pos[0]*10**6),
‘wm_latitude’: int(pos[1]*10**6),
‘wm_actual_longitude’: 0,
‘wm_actual_latitude’: 0,
‘userid’: ‘xxx’,
‘user_id’: ‘xxx’,
‘uniqueid’: ‘xxx’,
‘open_id’: ‘xxx’,
‘openidcipher’: ‘xxx’,
‘uuid’: ‘xxx’,
‘rc_platform’: 13,
‘platform’: 13,
‘rc_app’: 0,
‘partner’: 214,
‘riskLevel’: 71,
‘keyword’: keyword,
‘page_index’: page,
‘category_type’: 101578,
‘entrance_id’: 101578,
‘sort_type’: 0,
‘search_global_id’: ‘xxx’,
‘wm_ctype’: ‘mt_weapp’}
res = requests.post(url, headers=headers, data=data)
res_json = res.json()
return res_json

def parse_info(data):
‘’’
提取所需数据
‘’’
result = [] # 用于保存结果
for poi in data[‘data’][‘search_poi_list’]:
name = poi[‘name’] # 商店名称
sales = int(poi[‘month_sales_tip’][2:]) # 月销量
address = poi[‘address’] # 地址
lon = int(poi[‘longitude’])/10**6 #　经度
lat = int(poi[‘latitude’])/10**6 # 纬度
result.append({‘商店名’: name,
‘月销量’: sales,
‘地址’: address,
‘经度’: lon,
‘纬度’: lat})
return result