python爬取饿了么外卖商家数据_python爬饿了么外卖数据（1）
1、环境介绍：
win10 64bit
python 3.6.0
openpyxl 2.4.2(操作excel)
2、目的
根据区域统计该区域附近的外卖商家总数、和所有商家的月销售情况
3、网页截图
首先我们通过这张图能发现
URL请求是：https://mainsite-restapi.ele.me/v2/pois?extras%5B%5D=count&geohash=wx4g0bmjetr7&keyword=%E6%9C%9D&limit=20&type=nearby
request_headers:
accept:application/json, text/plain, */*
accept-encoding:gzip, deflate, sdch, br
accept-language:zh-CN,zh;q=0.8
cookie:ubt_ssid=plds7ye19rj2rghg3oaar8hkt89yy7f1_2017-02-07; _utrace=ac9073c509bedb74b28a1482bd95a9d8_2017-02-07
origin:https://www.ele.me
referer:https://www.ele.me/home/
user-agent:Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/55.0.2883.75 Safari/537.36 URL请求参数：
extras[]:count
geohash:wx4g0bmjetr7
keyword:朝
limit:20
type:nearby 分析请求参数和url 就不难发现，其实URL 请求 “？” 后面的内容 其实是编码之后的请求参数
这样，我们抓取该页面的数据就很好弄了，
首先构造headers
其次，我们自己维护一个关键字集合，
通过遍历，构造不同的请求参数，
发送请求，获取数据，并将数据保存在excel 中
代码如下：
#爬饿了么外卖数据--区域集合
#https://mainsite-restapi.ele.me/v2/pois?
#extras%5B%5D=count&geohash=wx4g0bmjetr7&keyword=%E6%9C%9D%E9%98%B3&limit=20&type=nearby
import urllib.request
import os
import json
from openpyxl import Workbook
from openpyxl import load_workbook
keywordExcel="D:\worksapce\python\爬虫饿了么\\keyword.xlsx" #关键字检索外卖地点保存路径
keywords=["朝阳","奥体"] #关键字集合
def reqsetting():#首先构造请求头headers，url目前暂时保存根路径
weburl = "https://mainsite-restapi.ele.me/v2/pois?"
#extra1="extras%5B%5D=count&geohash=wx4g0bmjetr7&keyword=%E6%9C%9D%E9%98%B3&limit=20&type=nearby"
webheaders={
"Accept":"application/json, text/plain, */*",
"Accept-Language":"zh-CN,zh;q=0.8",
"Connection":"keep-alive",
"Cookie":"ubt_ssid=plds7ye19rj2rghg3oaar8hkt89yy7f1_2017-02-07; _utrace=ac9073c509bedb74b28a1482bd95a9d8_2017-02-07",
"Host":"mainsite-restapi.ele.me",
"Origin":"https://www.ele.me",
"Referer":"https://www.ele.me/place/wx4g4h5shqf",
"User-Agent":"Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/55.0.2883.75 Safari/537.36"
}
req=urllib.request.Request(url=weburl,headers=webheaders)
return req
def write2Excel(jsondata,title):#根据不同的关键字将数据写入到excel中
fileName=keywordExcel
if(os.path.exists(fileName)):
wb=load_workbook(fileName)
else:
wb=Workbook()
ws=wb.create_sheet(title)
ws.column_dimensions["A"].width =10.0
ws.append(["ID","城市","geohash","名称","地址","商家总数","经度","纬度","request_id","short_address"])
ws.column_dimensions["A"].width =30.0
ws.column_dimensions["B"].width =10.0
ws.column_dimensions["C"].width =18.0
ws.column_dimensions["D"].width =20.0
ws.column_dimensions["E"].width =50.0
ws.column_dimensions["F"].width =10.0
ws.column_dimensions["G"].width =10.0
ws.column_dimensions["H"].width =10.0
ws.column_dimensions["I"].width =25.0
ws.column_dimensions["J"].width =40.0
for i in range(len(jsondata)):
row=jsondata[i]
ws.append([row["id"],row["city"],row["geohash"],row["name"],row["address"],row["count"],
row["longitude"],row["latitude"],row["request_id"],row["short_address"]])
wb.save(fileName)
if __name__ == '__main__': #程序运行入口
if(os.path.exists(keywordExcel)):
os.remove(keywordExcel)
req=reqsetting()
newUrl=req.get_full_url()
for keyword in keywords:#遍历关键字集合，构造不同的请求参数，附加到URL 请求上
params={
"extras[]":"count",
"geohash":"wx4g0bmjetr7",
"keyword":"%s" % keyword,
"limit":"20",
"type":"nearby"
}
params=urllib.parse.urlencode(params)#将请求参数进行编码
req.full_url=newUrl+params#重新构造请求参数
webpage=urllib.request.urlopen(req)#获取数据
contentBytes = webpage.read().decode("utf-8")
jsondata=json.loads(contentBytes)#将数据解析成json格式
write2Excel(jsondata,keyword)#将数据写入excel 中