这个简单，就是熟悉下数据格式保存，反反爬，

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 = "C:\Users\uy\Desktop\py3\爬虫饿了么\keyword.xlsx" # 关键字检索外卖地点保存路径

keywords = ["江干", "滨江"] # 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?"
weburl = "https://www.ele.me/restapi/v2/pois?"
        # extras%5B%5D=count&geohash=wtmknpnr9yy3&keyword=%E6%BB%A8%E6%B1%9F&limit=20&type=nearby"
# 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=0.9,zh-TW;q=0.8",
    "Connection": "keep-alive",
    "Cookie": "ubt_ssid=ptvjtf67i9lr4uovi39wbvo83ty0239q_2019-02-18; _utrace=824a5a0d3496a33d798248e92c3d152f_2019-02-18; cna=PZ7vFIAQHgECAXueJlYerufe; track_id=1550466556|da0ddc135f632adfcaaeb3e72f35543e485d9b3b484492f856|898bc9f8ba51522ed41a4bd2fb7e039f; isg=BAIC-M_e6rep9_ZrR37SKPuYUwikeyfVgYwZokwaGXUon6kZNGPV_Qe-S5vjz36F",
    "Host": "mainsite-restapi.ele.me",
    "Origin": "https://www.ele.me",
    "Referer": "https://www.ele.me/home/",
    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/72.0.3626.109 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": "wtmknpnr9yy3",
        "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
    print(req.full_url)
    webpage = urllib.request.urlopen(req.full_url)  # 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

爬取饿了么区域商家

原文：https://www.cnblogs.com/WhiteCoder/p/10520550.html