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car_spider.py
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car_spider.py
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#coding==utf-8
import requests
from bs4 import BeautifulSoup
import os
import re
import json
import random
import time
def datetime_to_timestamp_in_milliseconds(d):
def current_milli_time(): return int(round(time.time() * 1000))
return current_milli_time()
def LoadUserAgents(uafile):#从user_agents.txt文件里面随机选择一个user_agent,防封
uas = []
with open(uafile, 'rb') as uaf:
for ua in uaf.readlines():
if ua:
uas.append(ua.strip()[1:-1 - 1])
random.shuffle(uas)
return uas
uas = LoadUserAgents("user_agents.txt")
time1 = time.time()
def htmlparser(url):#解析网页的函数
ua = random.choice(uas)
user_agent = ua
headers = {'User-agent': user_agent,
'Referer': 'https://car.autohome.com.cn.html',}#加上header伪装成浏览器防止被封
r = requests.get(url, headers=headers)#get请求
r.raise_for_status()
r.encoding = r.apparent_encoding
content = r.text
return content
def deliver_current_change(content):
con = re.sub(r"LoadDealerPrice", "", str(content))
con2 = con[1:-1]
last = json.loads(con2)
deliver_key = {}
for i in last['body']['item']:
deliver_key[i["SpecId"]] = i["Price"]
# print(deliver_key)
return deliver_key
#
# def deliver_stop_change(content):
# con = re.sub(r"LoadUsedCarPriceGetUsedCarData", "", str(content))
# con2 = re.sub("," + car_list_id, "", str(con[-10:-1]))
# con3 = con[1:-10] + con2
# last = json.loads(con2)
# deliver_key = {}
# for i in last['body']['item']:
# deliver_key[i["SpecId"]] = i["Price"]
# # print(deliver_key)
# return deliver_key
def deliver_future_change(content):
con = re.sub(r"LoadDealerPrice", "", str(content))
con2 = con[1:-1]
last = json.loads(con2)
deliver_key = {}
for i in last['body']['item']:
deliver_key[i["SpecId"]] = i["Price"]
# print(deliver_key)
return deliver_key
def get_car_list(url):#得到车型的sid list
content = htmlparser(url)
soup = BeautifulSoup(content,"html.parser")
car_list_soup = soup.find_all("div",class_= "list-cont")
car_list = []
for i in car_list_soup:
car_id = i["data-value"]
car_list.append(car_id)
return car_list
car_total_name = " "
def current_spider(url):
content = htmlparser(url)
soup = BeautifulSoup(content, "html.parser")
car_list = get_car_list(url)
car_name2 = soup.find("h2",class_="fn-left cartab-title-name").get_text()
for i in car_list:
# 得到经销商报价
headers = {'Accept': '*/*',
'Accept-Encoding': 'gzip, deflate, br',
'Accept-Language': 'zh-CN,zh;q=0.9',
'Connection': 'keep-alive',
'Cookie': '__ah_uuid=C8A42CEE-5EF9-4CC8-9CE4-C03C70836956; fvlid=1539747194063t5CR8avRSl; sessionid=BD2C0F87-2785-46BC-B6B4-26659E736FF6%7C%7C2018-10-17+11%3A33%3A14.782%7C%7Cwww.google.com.hk; ahpau=1; sessionuid=BD2C0F87-2785-46BC-B6B4-26659E736FF6%7C%7C2018-10-17+11%3A33%3A14.782%7C%7Cwww.google.com.hk; Hm_lvt_9924a05a5a75caf05dbbfb51af638b07=1539747237; wwwjbtab=0%2C1; platformCityId=110100; jrsfvi=1539748349859eIR2ZhIQ2ij5%7Ccar.autohome.com.cn%7C2020994; jrslvi=2020994%7Ccar.autohome.com.cn%7C1539748349859eIR2ZhIQ2ij5; jpvareaid=2020994; nice_ida44a9a90-84e5-11e8-b395-81b8eb2a7c21=117f6dd2-d1c0-11e8-bb49-714fbbfd1285; cnversion=DhEYsPcmPRYbRzJlYmbtTSMsJyBr0d199UqHEkl91mdRAINtJaIKjChtSbYkI/Bn+M7EvJ8fRNwi4yKfYlGqGyQN8gaX92lRCcjTnjNfF5q6TuzfMgnpHA==; ahsids=692_588_4764_3201_237; sessionip=202.113.176.131; area=120112; ahpvno=72; Hm_lpvt_9924a05a5a75caf05dbbfb51af638b07=1539788829; sessionvid=F86D2D0A-780C-44C7-9975-55F132EB4942; ref=www.google.com.hk%7C0%7C0%7C0%7C2018-10-17+23%3A07%3A14.347%7C2018-10-17+11%3A33%3A14.782; ahrlid=15397888292466xBEHqnzRj-1539788837406',
'Host': 'carif.api.autohome.com.cn',
'Referer': 'https://car.autohome.com.cn/price/brand-33.html',
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36'} # 加上header伪装成浏览器防止被封
deliver_url = "https://carif.api.autohome.com.cn/dealer/LoadDealerPrice.ashx?_callback=LoadDealerPrice&type=1&seriesid=" + i + "&city=120100"
deliver_soup = requests.get(deliver_url, headers=headers)
deliver_soup.raise_for_status()
deliver_soup.encoding = deliver_soup.apparent_encoding
deliver = deliver_soup.text
deliver_key = deliver_current_change(deliver)
print(deliver_key)
# 采集车的总型号
car = soup.find("div", class_="list-cont", attrs={"data-value": i})
car_name = car.find("div", class_="list-cont-main")
car_name_only = car_name.find("div", class_="main-title").get_text()
# print(car_name_only)
car_lever = car.find("div", class_="main-lever")
# for j in car_lever:
# print(j.get_text())
# 下面采集车的具体型号信息
car_model = soup.find("div", class_="intervalcont fn-hide", attrs={"id": "divSpecList" + i})
for k in car_model.find_all("div", class_="interval01"):
car_model_size = k.find("div", class_="interval01-title title-cont") # 6.0升 517马力的父节点
car_model_size_only = car_model_size.find("div", class_="interval01-list-cars").get_text() # 6.0升 517马力
print(car_model_size_only)
car_model_size_value = k.find_all("ul", class_="interval01-list") # 该属性的下属分类（具体类型）
for g in car_model_size_value:
for li in g.find_all("li"):
flag = False
for ke in deliver_key.keys():
key = ke
key = str(key)
if key == li["data-value"]:
flag = True # 这里卡了一会儿bug，主要原因是：在字典中的数字被认为int型，不是str型
with open("data.txt", 'a', encoding="utf-8") as f:
f.write(
car_total_name + "*" + car_name2 + "*" + car_name_only + "*在售*" + car_model_size_only + "*" +
str(deliver_key[ke]) + "*" +
li.find("div", class_="interval01-list-cars-infor").get_text() + "*" +
li.find("div", class_="interval01-list-guidance").get_text() + "*" +
car_lever.find("div",class_="score-cont").get_text()+"*")
for cou in car_lever.find_all("li"):
with open("data.txt", 'a', encoding="utf-8") as f:
f.write(cou.get_text()+"*")
with open("data.txt","a",encoding="utf-8") as f:
f.write("\n")
print(car_total_name, " ", car_name_only, " ", car_model_size_only, " ",
str(deliver_key[ke]), " ", li.get_text())
break
else:
pass
if flag == False:
with open("data.txt", 'a', encoding="utf-8") as f:
f.write(
car_total_name + "*" + car_name2 + "*" + car_name_only + "*在售*" + car_model_size_only + "*" +
"暂无报价*" +
li.find("div", class_="interval01-list-cars-infor").get_text() + "*" +
li.find("div", class_="interval01-list-guidance").get_text() + "*" +
car_lever.find("div", class_="score-cont").get_text() + "*")
for cou in car_lever.find_all("li"):
with open("data.txt", 'a', encoding="utf-8") as f:
f.write(cou.get_text() + "*")
with open("data.txt", "a", encoding="utf-8") as f:
f.write("\n")
print(car_total_name, " ", car_name_only, " ", car_model_size_only, " ", "暂无报价", " ",
li.get_text())
else:
pass
time.sleep(1)
def future_spider(url):
content = htmlparser(url)
soup = BeautifulSoup(content, "html.parser")
car_list = get_car_list(url)
car_name2 = soup.find("h2",class_="fn-left cartab-title-name").get_text()
for i in car_list:
# 得到经销商报价
headers = {'Accept': '*/*',
'Accept-Encoding': 'gzip, deflate, br',
'Accept-Language': 'zh-CN,zh;q=0.9',
'Connection': 'keep-alive',
'Cookie': '__ah_uuid=C8A42CEE-5EF9-4CC8-9CE4-C03C70836956; fvlid=1539747194063t5CR8avRSl; sessionid=BD2C0F87-2785-46BC-B6B4-26659E736FF6%7C%7C2018-10-17+11%3A33%3A14.782%7C%7Cwww.google.com.hk; ahpau=1; sessionuid=BD2C0F87-2785-46BC-B6B4-26659E736FF6%7C%7C2018-10-17+11%3A33%3A14.782%7C%7Cwww.google.com.hk; Hm_lvt_9924a05a5a75caf05dbbfb51af638b07=1539747237; wwwjbtab=0%2C1; platformCityId=110100; jrsfvi=1539748349859eIR2ZhIQ2ij5%7Ccar.autohome.com.cn%7C2020994; jrslvi=2020994%7Ccar.autohome.com.cn%7C1539748349859eIR2ZhIQ2ij5; jpvareaid=2020994; nice_ida44a9a90-84e5-11e8-b395-81b8eb2a7c21=117f6dd2-d1c0-11e8-bb49-714fbbfd1285; cnversion=DhEYsPcmPRYbRzJlYmbtTSMsJyBr0d199UqHEkl91mdRAINtJaIKjChtSbYkI/Bn+M7EvJ8fRNwi4yKfYlGqGyQN8gaX92lRCcjTnjNfF5q6TuzfMgnpHA==; ahsids=692_588_4764_3201_237; sessionip=202.113.176.131; area=120112; ahpvno=72; Hm_lpvt_9924a05a5a75caf05dbbfb51af638b07=1539788829; sessionvid=F86D2D0A-780C-44C7-9975-55F132EB4942; ref=www.google.com.hk%7C0%7C0%7C0%7C2018-10-17+23%3A07%3A14.347%7C2018-10-17+11%3A33%3A14.782; ahrlid=15397888292466xBEHqnzRj-1539788837406',
'Host': 'carif.api.autohome.com.cn',
'Referer': 'https://car.autohome.com.cn/price/brand-33.html',
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36'} # 加上header伪装成浏览器防止被封
deliver_url = "https://carif.api.autohome.com.cn/dealer/LoadDealerPrice.ashx?_callback=LoadDealerPrice&type=1&seriesid=" + i + "&city=0"
deliver_soup = requests.get(deliver_url, headers=headers)
deliver_soup.raise_for_status()
deliver_soup.encoding = deliver_soup.apparent_encoding
deliver = deliver_soup.text
deliver_key = deliver_current_change(deliver)
print(deliver_key)
# 采集车的总型号
car = soup.find("div", class_="list-cont", attrs={"data-value": i})
car_name = car.find("div", class_="list-cont-main")
car_name_only = car_name.find("div", class_="main-title").get_text()
# print(car_name_only)
car_lever = car.find("div", class_="main-lever")
# for j in car_lever:
# print(j.get_text())
# 下面采集车的具体型号信息
car_model = soup.find("div", class_="intervalcont fn-hide", attrs={"id": "divSpecList" + i})
for k in car_model.find_all("div", class_="interval01"):
car_model_size = k.find("div", class_="interval01-title title-cont") # 6.0升 517马力的父节点
car_model_size_only = car_model_size.find("div", class_="interval01-list-cars").get_text() # 6.0升 517马力
print(car_model_size_only)
car_model_size_value = k.find_all("ul", class_="interval01-list") # 该属性的下属分类（具体类型）
for g in car_model_size_value:
for li in g.find_all("li"):
flag = False
for ke in deliver_key.keys():
key = ke
key = str(key)
if key == li["data-value"]:
flag = True # 这里卡了一会儿bug，主要原因是：在字典中的数字被认为int型，不是str型
with open("data.txt", 'a', encoding="utf-8") as f:
f.write(
car_total_name + "*" + car_name2 + "*" + car_name_only + "*即将销售*" + car_model_size_only + "*" +
str(deliver_key[ke]) + "*" +
li.find("div", class_="interval01-list-cars-infor").get_text() + "*" +
li.find("div", class_="interval01-list-guidance").get_text() + "*" +
car_lever.find("div",class_="score-cont").get_text()+"*")
for cou in car_lever.find_all("li"):
with open("data.txt", 'a', encoding="utf-8") as f:
f.write(cou.get_text()+"*")
with open("data.txt","a",encoding="utf-8") as f:
f.write("\n")
print(car_total_name, " ", car_name_only, " ", car_model_size_only, " ",
str(deliver_key[ke]), " ", li.get_text())
break
else:
pass
if flag == False:
with open("data.txt", 'a', encoding="utf-8") as f:
f.write(
car_total_name + "*" + car_name2 + "*" + car_name_only + "*即将销售*" + car_model_size_only + "*" +
"暂无报价*" +
li.find("div", class_="interval01-list-cars-infor").get_text() + "*" +
li.find("div", class_="interval01-list-guidance").get_text() + "*" +
car_lever.find("div", class_="score-cont").get_text() + "*")
for cou in car_lever.find_all("li"):
with open("data.txt", 'a', encoding="utf-8") as f:
f.write(cou.get_text() + "*")
with open("data.txt", "a", encoding="utf-8") as f:
f.write("\n")
print(car_total_name, " ", car_name_only, " ", car_model_size_only, " ", "暂无报价", " ",
li.get_text())
else:
pass
time.sleep(1)
def stop_spider(url):
content = htmlparser(url)
soup = BeautifulSoup(content, "html.parser")
car_list = get_car_list(url)
car_name2 = soup.find("h2",class_="fn-left cartab-title-name").get_text()
for i in car_list:
# 得到经销商报价
headers = {'Accept': '*/*',
'Accept-Encoding': 'gzip, deflate, br',
'Accept-Language': 'zh-CN,zh;q=0.9',
'Connection': 'keep-alive',
'Cookie': '__ah_uuid=C8A42CEE-5EF9-4CC8-9CE4-C03C70836956; fvlid=1539747194063t5CR8avRSl; sessionid=BD2C0F87-2785-46BC-B6B4-26659E736FF6%7C%7C2018-10-17+11%3A33%3A14.782%7C%7Cwww.google.com.hk; ahpau=1; sessionuid=BD2C0F87-2785-46BC-B6B4-26659E736FF6%7C%7C2018-10-17+11%3A33%3A14.782%7C%7Cwww.google.com.hk; Hm_lvt_9924a05a5a75caf05dbbfb51af638b07=1539747237; wwwjbtab=0%2C1; platformCityId=110100; jrsfvi=1539748349859eIR2ZhIQ2ij5%7Ccar.autohome.com.cn%7C2020994; jrslvi=2020994%7Ccar.autohome.com.cn%7C1539748349859eIR2ZhIQ2ij5; jpvareaid=2020994; nice_ida44a9a90-84e5-11e8-b395-81b8eb2a7c21=117f6dd2-d1c0-11e8-bb49-714fbbfd1285; cnversion=DhEYsPcmPRYbRzJlYmbtTSMsJyBr0d199UqHEkl91mdRAINtJaIKjChtSbYkI/Bn+M7EvJ8fRNwi4yKfYlGqGyQN8gaX92lRCcjTnjNfF5q6TuzfMgnpHA==; ahsids=692_588_4764_3201_237; sessionip=202.113.176.131; area=120112; ahpvno=72; Hm_lpvt_9924a05a5a75caf05dbbfb51af638b07=1539788829; sessionvid=F86D2D0A-780C-44C7-9975-55F132EB4942; ref=www.google.com.hk%7C0%7C0%7C0%7C2018-10-17+23%3A07%3A14.347%7C2018-10-17+11%3A33%3A14.782; ahrlid=15397888292466xBEHqnzRj-1539788837406',
'Host': 'carif.api.autohome.com.cn',
'Referer': 'https://car.autohome.com.cn/price/brand-33.html',
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36'} # 加上header伪装成浏览器防止被封
deliver_url = "https://carif.api.autohome.com.cn/che168/LoadUsedCarPrice.ashx?_callback=LoadUsedCarPriceGetUsedCarData&pid=120000&seriesid=" + i
deliver_soup = requests.get(deliver_url, headers=headers)
deliver_soup.raise_for_status()
deliver_soup.encoding = deliver_soup.apparent_encoding
deliver = deliver_soup.text
con = re.sub(r"LoadUsedCarPriceGetUsedCarData", "", str(deliver))
con2 = re.sub("," + i, "", str(con[-10:-1]))
con3 = con[1:-10] + con2
last = json.loads(con3)
deliver_key = {}
for ki in last['body']['items']:
deliver_key[ki["specId"]] = ki["priceArea"]
print(deliver_key)
# 采集车的总型号
car = soup.find("div", class_="list-cont", attrs={"data-value": i})
car_name = car.find("div", class_="list-cont-main")
car_name_only = car_name.find("div", class_="main-title").get_text()
# print(car_name_only)
car_lever = car.find("div", class_="main-lever")
# for j in car_lever:
# print(j.get_text())
# 下面采集车的具体型号信息
car_model = soup.find("div", class_="intervalcont fn-hide", attrs={"id": "divSpecList" + i})
for k in car_model.find_all("div", class_="interval01"):
car_model_size = k.find("div", class_="interval01-title title-cont") # 6.0升 517马力的父节点
car_model_size_only = car_model_size.find("div", class_="interval01-list-cars").get_text() # 6.0升 517马力
print(car_model_size_only)
car_model_size_value = k.find_all("ul", class_="interval01-list") # 该属性的下属分类（具体类型）
for g in car_model_size_value:
for li in g.find_all("li"):
flag = False
for ke in deliver_key.keys():
key = ke
key = str(key)
if key == li["data-value"]:
flag = True # 这里卡了一会儿bug，主要原因是：在字典中的数字被认为int型，不是str型
with open("data.txt", 'a', encoding="utf-8") as f:
f.write(
car_total_name + "*" + car_name2 + "*" + car_name_only + "*停售*" + car_model_size_only + "*" +
str(deliver_key[ke]) + "*" +
li.find("div", class_="interval01-list-cars-infor").get_text() + "*" +
li.find("div", class_="interval01-list-guidance").get_text() + "*"+
car_lever.find("div", class_="score-cont").get_text() + "*")
for cou in car_lever.find_all("li"):
with open("data.txt","a",encoding="utf-8") as f :
f.write(cou.get_text()+"*")
with open("data.txt","a",encoding="utf-8") as f :
f.write("\n")
print(car_total_name, " ", car_name_only, " ", car_model_size_only, " ",
str(deliver_key[ke]), " ", li.get_text())
break
else:
pass
if flag == False:
with open("data.txt", 'a', encoding="utf-8") as f:
f.write(
car_total_name + "*" + car_name2 + "*" + car_name_only + "*停售*" + car_model_size_only + "*" +
"暂无报价*" +
li.find("div", class_="interval01-list-cars-infor").get_text() + "*" +
li.find("div", class_="interval01-list-guidance").get_text() + "*"+
car_lever.find("div", class_="score-cont").get_text() + "*" )
for cou in car_lever.find_all("li"):
with open("data.txt", "a", encoding="utf-8") as f:
f.write(cou.get_text() + "*")
with open("data.txt", "a", encoding="utf-8") as f:
f.write("\n")
print(car_total_name, " ", car_name_only, " ", car_model_size_only, " ", "暂无报价", " ",
li.get_text())
else:
pass
time.sleep(1)
urls =[]
def spider(i):
content = htmlparser(i)
soup = BeautifulSoup(content, "html.parser")
big_urls = soup.find_all("dl", class_="list-dl")
for j in big_urls:
big_url = j.find("dt")
big_url_1 = big_url.find("a")
big_url_2 = big_url_1["href"]
content = htmlparser("https://car.autohome.com.cn" + big_url_2)
soup = BeautifulSoup(content, "html.parser")
sort_name_1 = soup.find("div", attrs={"class": "tab-nav border-t-no"})
sort_name_3 = sort_name_1.find("ul", attrs={"data-trigger": "click"})
for sort_name_2 in sort_name_3.find_all("a"):
if (sort_name_2["title"] == "在售是指官方已经公布售价且正式在国内销售的车型"):
sort_url_courrent = "https://car.autohome.com.cn" + sort_name_2["href"]
urls.append(sort_url_courrent)
print(sort_url_courrent)
current_spider(sort_url_courrent)
content = htmlparser(sort_url_courrent)
soup = BeautifulSoup(content, "html.parser")
# 判断是否有下一页
div = soup.find("div", class_="price-page")
if div == None:
pass
else:
next_url = div.find("a", class_="page-item-next")
print(next_url["href"])
if next_url == None:
pass
else:
next_url = "https://car.autohome.com.cn" + next_url["href"]
current_spider(next_url)
time.sleep(5)
urls.append(next_url)
if (sort_name_2["title"] == "即将销售是指近期即将在国内销售的车型"):
sort_url_future = "https://car.autohome.com.cn" + sort_name_2["href"]
urls.append(sort_url_future)
future_spider(sort_url_future)
content = htmlparser(sort_url_future)
soup = BeautifulSoup(content, "html.parser")
# 判断是否有下一页
div = soup.find("div", class_="price-page")
if div == None:
pass
else:
next_url = div.find("a", class_="page-item-next")
print(next_url["href"])
if next_url == None:
pass
else:
next_url = "https://car.autohome.com.cn" + next_url["href"]
future_spider(next_url)
time.sleep(5)
urls.append(next_url)
if (sort_name_2["title"] == "停售是指厂商已停产并且经销商处已无新车销售的车型"):
sort_url_stop = "https://car.autohome.com.cn" + sort_name_2["href"]
urls.append(sort_url_stop)
stop_spider(sort_url_stop)
content = htmlparser(sort_url_stop)
soup = BeautifulSoup(content, "html.parser")
# 判断是否有下一页
div = soup.find("div", class_="price-page")
if div == None:
pass
else:
next_url = div.find("a", class_="page-item-next")
print(next_url["href"])
if next_url == None:
pass
else:
next_url = "https://car.autohome.com.cn" + next_url["href"]
stop_spider(next_url)
time.sleep(5)
urls.append(next_url)
def _main():
global urls
with open("car_url.txt", "r") as f:
url_list = f.readlines()
with open("car_url_name.txt", 'r',encoding="utf-8") as f:
last_url_name = f.readlines()
count = 0
for i in url_list:
car_list =[]
global car_total_name
car_total_name = last_url_name[count]
car_total_name = car_total_name.strip("\n")
print(car_total_name)
count = count + 1
i = i.strip("\n")
url = i
spider(url)
for url in urls:
with open("urls.text","a",encoding="utf-8") as f:
f.write(url+"\n")
main()