Python爬虫系列之美团全站信息爬取实战

该实战有时间我会持续更新，因为近期比较忙，只写了一个类目下的抓取流程，其他类目我后期会慢慢补上

声明：仅供用于学习交流，不可用于恶意操作

》》》》》》爬虫接单，点击这里联系我们《《《《《《

直接上代码，详情请看注释

import requests
from bs4 import BeautifulSoup
import re
import json
import time
'''
@Author :王磊
@Time :2018/12/31
@Description:美团站点所有有效信息抓取（待完善）
'''
class MeiTuanSpider:
def __init__(self):
self.headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36 SE 2.X MetaSr 1.0",
"COOKIE": "_lx_utm=utm_source%3DBaidu%26utm_medium%3Dorganic; _lxsdk_cuid=167ffca928ec8-0e654d87ed4011-4d045769-100200-167ffca928ec8; __mta=210679722.1546184730073.1546184730073.1546184730073.1; _lxsdk=167ffca928ec8-0e654d87ed4011-4d045769-100200-167ffca928ec8; _ga=GA1.2.268215992.1546188830; _gid=GA1.2.2085490335.1546188830; mtcdn=K; lsu=; token2=k5KFzZOmjNtI4RXwSn-MBwHYS_QF#AqgcAAM17q21drlYFsEkrWY8nBciWgigr_vFCL5FDakc3B15Z318X6W3X_Dkc15OrK0yCPQ; u=646978641; n=XwR964951585; lt=k5KFzZOmjNtI4RXwSn-MBwHYS_QF#AqgcAAM17q21drlYFsEkrWY8nBciWgigr_vFCL5FDakc3B15Z318X6W3X_Dkc15OrK0yCPQ; ci=146; rvct=146%2C224%2C527%2C1114%2C1268%2C758%2C835%2C811%2C729%2C113%2C402; unc=XwR964951585; uuid=d927d5e7a70f4031900e.1546184723.2.0.0; client-id=03aeb51b-56e7-4809-b3a0-1fd44f5b4ea4; lat=40.74812; lng=107.400892; _lxsdk_s=16803187a83-b3c-b35-5ba%7C%7C171",
# "Referer": "https://as.meituan.com/",
"Upgrade-Insecure-Requests": "1"
}
self.start_url = "https://www.meituan.com/changecity/"
def getHTML(self, url):
'''
get方式请求url
:param url: 请求url
:return: str
'''
resp = requests.get(url, headers=self.headers)
return resp.content.decode(resp.apparent_encoding)
def getCityList(self, html):
'''
获取全国城市的美团主页地址列表
:param html: 城市选择页面html
:return: list
'''
soup = BeautifulSoup(html, 'html.parser')
spans = soup.findAll("span", attrs={"class": "cities"})
citys = []
for i in range(len(spans)):
a = spans[i].findAll("a", attrs={"class": re.compile("link.*?city.*?")})
for j in range(len(a)):
url = "https:" + a[j]['href']
city_name = a[j].text
citys.append({"city_name": city_name, "url": url})
return citys
def getMoreList(self, html):
'''
获取城市主页的分类信息地址
:param html: 主页html
:return: list
'''
soup = BeautifulSoup(html, 'html.parser')
a = soup.findAll("a", attrs={"class": re.compile("link.*?detail-more.*?")})
moreList = []
for i in range(len(a)):
url = a[i]['href']
type_name = re.findall(r'"title":"(.*?)"', str(a[i]))[0]
moreList.append({"type_name": type_name, "url": url})
return moreList
def meiShiParser(self, html):
'''
解析美食类目下所有店铺的店铺信息以及店铺类目下的所有商品信息，店铺评价信息等等
:param html: 店铺页面html
:return: None
'''
req = re.compile(r'{"itemId":"(.*?)"', re.S)
itemsIds = re.findall(req, html)
preURL = "https://www.meituan.com/meishi/"
for i in range(len(itemsIds)):
url = preURL + itemsIds[i] + "/"
detailHTML = self.getHTML(url)
shopDirtyInfo = re.findall(r'detailInfo":(.*?),"crumbNav', detailHTML)[0]
# 店铺信息
shopId, shopName = re.findall(r'"poiId":(.*?),"name":"(.*?)"', shopDirtyInfo)[0]
avgScore = re.findall(r'"avgScore": (.*?)', shopDirtyInfo)
address = re.findall(r'"address":"(.*?)"', shopDirtyInfo)
phone = re.findall(r'"phone":"(.*?)"', shopDirtyInfo)
# 店铺提供设施服务
extraInfos = re.findall(r'"text":"(.*?)"', shopDirtyInfo)
req_good = re.compile(r'recommended":(.*?)]', re.S)
# 商品列表
goods = re.findall(req_good, shopDirtyInfo)[0]
req_goodList = re.compile(r'{"id":"(.*?)","name":"(.*?)","price":(.*?),"frontImgUrl":"(.*?)"}', re.S)
goodsList = re.findall(req_goodList, goods)
# 用户评价
evaluateURL = "http://www.meituan.com/meishi/api/poi/getMerchantComment?uuid=d927d5e7a70f4031900e.1546184723.2.0.0&platform=1&partner=126&originUrl=" + url + "&riskLevel=1&optimusCode=1&id=" + str(itemsIds[i]) + "&userId=646978641&offset=0&pageSize=10&sortType=1"
totalPages = int(json.loads(self.getHTML(evaluateURL))['data']['total'])
evaluateList = []
for k in range(totalPages):
offset = k * 10
evaluateURL = "http://www.meituan.com/meishi/api/poi/getMerchantComment?uuid=d927d5e7a70f4031900e.1546184723.2.0.0&platform=1&partner=126&originUrl=" + url + "&riskLevel=1&optimusCode=1&id=" + str(itemsIds[i]) + "&userId=646978641&offset=" + str(offset) + "&pageSize=10&sortType=1"
evaluateList.extend(json.loads(self.getHTML(evaluateURL))['data']['comments'])
# 数据量太大，此处做测试打印
print(evaluateList)
time.sleep(5)
for j in range(len(goodsList)):
good_id = goodsList[j][0]
good_name = goodsList[j][1]
good_price = goodsList[j][2]
good_img = goodsList[j][3]
print("shopId: %s,shopName: %s, avgScore: %s, address: %s, phone: %s, extraInfos: %s, good_id: %s, good_name: %s, good_price: %s, good_img: %s" %
(shopId, shopName, avgScore, address, phone, extraInfos, good_id, good_name, good_price, good_img)
)
print(evaluateList)
time.sleep(10)
def spider(self):
'''
数据分析
:return: None
'''
html = self.getHTML(self.start_url)
cityList = self.getCityList(html)
type_detail = []
# 每一个城市为单位
for i in range(len(cityList)):
cityIndexHtml = self.getHTML(cityList[i]['url'])
moreList = self.getMoreList(cityIndexHtml)
# 每一个城市下每一个类目为单位
for j in range(len(moreList)):
moreType = moreList[j]['type_name']
moreURL = moreList[j]['url']
#############################
# 爬取数据量较大，此处做测试步骤#
#############测试块开始############
print(moreURL)
aimHTML = self.getHTML(moreURL)
self.meiShiParser(aimHTML)
exit(0)
#############测试块结束############
type_detail.append({"city_name": cityList[i]['city_name'], "type_name": moreType, "type_url": moreURL})
time.sleep(5)
for k in range(len(type_detail)):
city_name = type_detail[k]['city_name']
type_name = type_detail[k]['type_name']
type_url = type_detail[k]['type_url']
aimHTML = self.getHTML(type_url)
if type_name == '美食':
self.meiShiParser(aimHTML)
elif type_name == '外卖':
pass
elif type_name == '酒店星级':
pass
elif type_name == '热门城市':
pass
elif type_name == '火车票':
pass
elif type_name == '休闲娱乐':
pass
elif type_name == '生活服务':
pass
elif type_name == '丽人':
pass
elif type_name == '结婚':
pass
elif type_name == '儿童乐园':
pass
elif type_name == '幼儿教育':
pass
elif type_name == '亲子摄影':
pass
elif type_name == '孕产护理':
pass
elif type_name == '运动健身':
pass
elif type_name == '装修设计':
pass
elif type_name == '装修建材':
pass
elif type_name == '家具家居':
pass
elif type_name == '家装卖场':
pass
elif type_name == '音乐培训':
pass
elif type_name == '职业技术':
pass
elif type_name == '外语培训':
pass
elif type_name == '美术培训':
pass
elif type_name == '医疗健康':
pass
elif type_name == '爱车':
pass
elif type_name == '宠物':
pass
elif type_name == '玩乐':
pass
if __name__ == '__main__':
mt = MeiTuanSpider()
mt.spider()