python爬虫爬取人人车（二手车）、利用padas、matplotlib生成图表，将信息打成csv格式

该程序主要为了抓取人人车卖车信息，包括车系、车型号、购车日期、卖车价格、行驶路程、首付价格等等信息。话很少说直接代码。

入库以后将Mongodb里的信息导出成Excel语句

mongoexport -d myDB -c user -f _id,name,password,adress --csv -o ./user.csv

-d 标示 数据库
-c 标示 数据表
-f 须要提取的field用逗号分隔
-o 输出路径

车系py文件

# -*- coding: utf-8 -*-
import re
from urllib.request import urlopen
from scrapy.http import Request
# from urllib.request import Request
from bs4 import BeautifulSoup
from lxml import etree
import pymongo
import scrapy
from scrapy.selector import HtmlXPathSelector
client = pymongo.MongoClient(host="127.0.0.1")
db = client.renrenche
collection = db.Carclass          #表名classification


import redis        #导入redis数据库
r = redis.Redis(host='127.0.0.1', port=6379, db=0)

class renrencheSpider(scrapy.Spider):
    name = "Carinfo1"
    allowed_domains = ["renrenche.com"]   #容许访问的域
    start_urls = [
        "https://www.renrenche.com/bj/ershouche/"
    ]

    #每爬完一个网页会回调parse方法
    def parse(self, response):
        hxs = HtmlXPathSelector(response)
        hx = hxs.select('//div[@class="brand-more-content"]/div[@class="brand-section brand-section-1"]/p[@class="bl"]/span[@class="bn"]/a')
        for secItem in hx:
            url = secItem.select("@href").extract()
            c = "https://www.renrenche.com"+url[0]
            name = secItem.select("text()").extract()
            classid =self.insertMongo(name,None)
            print(c)
            print(name)
            request = Request(c,callback=lambda response,pid=str(classid):self.parse_subclass(response,pid))
            yield request
    def parse_subclass(self, response,pid):
        # print(response.body.decode('utf-8'))
        hxs = HtmlXPathSelector(response)
        hx = hxs.select('//ul[@id="filter_series"]/li[@class=""]/a')
        for secItem in hx:
            urls = secItem.select("@href").extract()
            url = "https://www.renrenche.com" + urls[0]
            name = secItem.select("text()").extract()
            print(url)
            print(name)
            classid = self.insertMongo(name,pid)
            self.pushRedis(classid,url,pid)

    def insertMongo(self,classname,pid):
        classid = collection.insert({'classname':classname,'pid':pid})
        return classid
    def pushRedis(self,classid,url,pid,):
        carurl = '%s,%s,%s' %(classid,url,pid)
        r.lpush('carurl',carurl)

　　卖车各类信息py文件

# -*- coding: utf-8 -*-import refrom urllib.request import urlopenfrom scrapy.http import Requestimport pymongoimport scrapyfrom time import sleepfrom scrapy.selector import HtmlXPathSelectorclient = pymongo.MongoClient(host="127.0.0.1")db = client.renrenchecollection = db.Carinfoimport redis  # 导入redis数据库r = redis.Redis(host='127.0.0.1', port=6379, db=0)class renrencheSpider(scrapy.Spider):    name = "Carinfo2"    allowed_domains = ["renrenche.com"]    dict = {}    start_urls = []    def __init__(self):  # 定义一个方法        a = r.lrange('carurl', 0, -1)        for item in a:            novelurl = bytes.decode(item)            arr = novelurl.split(',')  # 分割字符串            renrencheSpider.start_urls.append(arr[1])            pid = arr[0]            url = arr[1]            self.dict[url] = {"pid":pid,"num":0}    def parse(self, response):        classInfo = self.dict[response.url]        pid = classInfo['pid']        num = classInfo['num']        # print(self.dict)        if num>3:            return None        hxs = HtmlXPathSelector(response)        hx = hxs.select('//ul[@class="row-fluid list-row js-car-list"]')        s=""        for secItem in hx:            hx1 = secItem.select('//li[@class="span6 list-item car-item"]/a[@rrc-event-param="search"]/h3')            name = hx1.select("text()").extract()            a = "型号："+name[0]            # self.insertMongo(classname=a)            s +=a+"\n"            # classid = collection.insert({'carinfo': a, 'pid': pid})            # print(a)        for secItem in hx:            hx2 = secItem.select('//div[@class="mileage"]/span[@class="basic"]')            name = hx2.select("text()").extract()            b = "购车年份/千米数："+name[0]+"/"+name[1]            # self.insertMongo(classname1=b)            s +=b+"\n"            # print(b)        for secItem in hx:            hx3 = secItem.select('//div[@class="tags-box"]/div[@class="price"]')            name = hx3.select("text()").extract()            c = str(name[0])            c = c.strip()            c = "卖车价格："+c+"万"            # self.insertMongo(classname2=c)            s +=c+"\n"            # print(c)        for secItem in hx:            hx4 = secItem.select('//div[@class="down-payment"]/div[@class="m-l"]')            name = hx4.select("text()").extract()            d = "首付："+name[0]+"万"            # self.insertMongo(classname3=d,pid=pid)            s +=d+"\n"            # print(d)        # print(s)        arr = s.split('\n')        print(arr[0])        classid = self.insertMongo(arr[0],arr[1],arr[2],arr[3],pid)        # classid = self.insertMongo(s, pid)    def insertMongo(self, classname,classname1,classname2,classname3, pid):        classid = collection.insert({'classname': classname,'classname1':classname1,'classname2':classname2,'classname3':classname3, 'pid': pid})        return classid    #     r.lpush('novelnameurl', novelnameurl)