scrapy爬虫框架实例一 某平台信息(两次post请求的发起)

备注(没有该平台账号是进不去的,可参考爬虫实现思路)

spider.py

import scrapy
import json
from bosi.items import BosiItem
class BsSpider(scrapy.Spider):
    name = 'bs'
    allowed_domains = ['cqie.iflysse.com/']
    start_urls = ['http://cqie.iflysse.com/Handler/Report/StuFileList.ashx']

    #首次发起请求
    def start_requests(self):
        #翻页的url
        url = "http://cqie.iflysse.com/Handler/Report/StuFileList.ashx"
        headers={
    
    
            "User-Agent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/89.0.4389.114 Safari/537.36",
            "Cookie":"userName=xxxxx; ASP.NET_SessionId=n1omhosmkcyjhyhba3meor0e; iflysse_client_sign=0f1d7195-8fca-4abd-b215-2dd2f15636e2; cacheHeader=%e9%bb%84%e5%a4%a9%e6%98%a5%3a1%3a%3a1; td_cookie=3815166223; SessionId=ec81f300-531f-4688-92ee-08af29d1aed5"

        }
        for i in range(60):
            #formdata必须以键值对的形式封装,所以翻页int类型要转为str类型,这个a必须强转,直接用i的话是类型错误
            a=str(i*20)
            formdata={
    
    
                'sEcho':'1',
                'iColumns':'6',
                'sColumns':',,,,,',
                'iDisplayStart':a,
                'iDisplayLength':'20',
                'mDataProp_0':'UserObject',
                'bSortable_0':'false',
                'mDataProp_1':'Name',
                'bSortable_1':'false',
                'mDataProp_2':'Email',
                'bSortable_2':'false',
                'mDataProp_3':'IDCard',
                'bSortable_3':'false',
                'mDataProp_4':'GenderStr',
                'bSortable_4':'false',
                'mDataProp_5':'5',
                'bSortable_5':'false',
                'iSortCol_0':'0',
                'sSortDir_0':'asc',
                'iSortingCols':'1',
                'Action':'0',
                'SelectStr':'',
                'ClassType':'0',
                'ClassID':'-1',
            }
            #FormRequest相当于是手动指定post。
            yield scrapy.FormRequest(url,formdata=formdata,headers=headers, callback=self.parse)


    def parse(self, response):
        headers = {
    
    
            "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/89.0.4389.114 Safari/537.36",
            "Cookie": "userName=xxxxxx; ASP.NET_SessionId=n1omhosmkcyjhyhba3meor0e; iflysse_client_sign=0f1d7195-8fca-4abd-b215-2dd2f15636e2; cacheHeader=%e9%bb%84%e5%a4%a9%e6%98%a5%3a1%3a%3a1; td_cookie=3815166223; SessionId=ec81f300-531f-4688-92ee-08af29d1aed5"
        }
        #页面数据是json格式,所以我们需要用json.loads
        dict_data=json.loads(response.text)
        for item1 in  dict_data['aaData']:
            item=BosiItem()
            #学号
            item["UserObject"]=item1["UserObject"]
            #姓名
            item["UserName"]=item1["UserName"]
            #邮箱
            item["Email"]=item1["Email"]
            #身份证
            item["IDCard"]=item1["IDCard"]
            #性别
            item["GenderStr"]=item1["GenderStr"]
            #档案链接
            item["ObjectID"]=item1["ObjectID"]
            yield item
            print(item)
        #档案页链接
        url = "http://cqie.iflysse.com/Handler/Public/StuFile.ashx"
        formdata1 = {
    
    
            "Action": '2',
            #档案页链接实际是一串加密内容,通过ajax加载详情页数据
            "ID":item["ObjectID"]
        }                                                                                           #meta:请求传参
        yield scrapy.FormRequest(url, formdata=formdata1, headers=headers, callback=self.sun_parse, meta={
    
    "item": item})

    def sun_parse(self,response):
        dict_data2=json.loads(response.text)
        for item2 in dict_data2["Data"]["CourseList"]:
            item=response.meta["item"]
            response
            #课程名称
            item["CourseName"]=item2["CourseName"]
            #时间
            item["DateStr"]=item2["DateStr"]
            #学习时长
            item["LearnTimeStr"]=item2["LearnTimeStr"]
            #进度
            item["ProgressStr"]=item2["ProgressStr"]
            #正确率
            item["CorrectRateStr"]=item2["CorrectRateStr"]
            #编译次数
            item["CompileNum"]=item2["CompileNum"]
            print(item)
            yield item

main.py(这样就不用在终端运行)

from scrapy.cmdline import execute
execute('scrapy crawl  bs'.split())

item.py

# Define here the models for your scraped items
#
# See documentation in:
# https://docs.scrapy.org/en/latest/topics/items.html

import scrapy


class BosiItem(scrapy.Item):
    # define the fields for your item here like:
    # name = scrapy.Field()
    # 学号
    UserObject = scrapy.Field()
    # 姓名
    UserName = scrapy.Field()
    # 邮箱
    Email = scrapy.Field()
    # 身份证
    IDCard = scrapy.Field()
    # 性别
    GenderStr = scrapy.Field()
    # 档案链接
    ObjectID = scrapy.Field()
    # 课程名称
    CourseName=scrapy.Field()
    # 时间
    DateStr = scrapy.Field()
    # 学习时长
    LearnTimeStr = scrapy.Field()
    # 进度
    ProgressStr = scrapy.Field()
    # 正确率
    CorrectRateStr = scrapy.Field()
    # 编译次数
    CompileNum = scrapy.Field()

pipelines.py

# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html


# useful for handling different item types with a single interface
from itemadapter import ItemAdapter
import pymysql

class BosiPipeline:
    def process_item(self, item, spider):
        conn=pymysql.connect(host="localhost",db="qu",user="root",passwd="123456",charset="utf8")
        cur=conn.cursor()
        # 学号
        UserObject = item["UserObject"]
        # 姓名
        UserName = item["UserName"]
        # 邮箱
        Email= item["Email"]
        # 身份证
        IDCard= item["IDCard"]
        # 性别
        GenderStr = item["GenderStr"]
        # 档案链接
        ObjectID = item["ObjectID"]
        # 课程名称
        CourseName = item["CourseName"]
        # 时间
        DateStr= item["DateStr"]
        # 学习时长
        LearnTimeStr= item["LearnTimeStr"]
        # 进度
        ProgressStr= item["ProgressStr"]
        # 正确率
        CorrectRateStr = item["CorrectRateStr"]
        # 编译次数
        CompileNum = item["CompileNum"]
        sql1="insert into bs(UserObject,UserName,Email,IDCard,GenderStr,ObjectID)values ('%s','%s','%s','%s','%s','%s')"%(UserObject,UserName,Email,IDCard,GenderStr,ObjectID)
        sql2="insert into dn(UserObject,CourseName,DateStr,LearnTimeStr,ProgressStr,CorrectRateStr,CompileNum)values ('%s','%s','%s','%s','%s','%s','%s')"%(UserObject,CourseName,DateStr,LearnTimeStr,ProgressStr,CorrectRateStr,CompileNum)
        print(sql1)
        print(sql2)
        cur.execute(sql1)
        cur.execute(sql2)
        conn.commit()
        cur.close()
        conn.close()
        return item

settings.py

# Scrapy settings for bosi project
#
# For simplicity, this file contains only settings considered important or
# commonly used. You can find more settings consulting the documentation:
#
#     https://docs.scrapy.org/en/latest/topics/settings.html
#     https://docs.scrapy.org/en/latest/topics/downloader-middleware.html
#     https://docs.scrapy.org/en/latest/topics/spider-middleware.html

BOT_NAME = 'bosi'

SPIDER_MODULES = ['bosi.spiders']
NEWSPIDER_MODULE = 'bosi.spiders'
#打印日志
LOG_LEVEL="ERROR"
FEED_EXPROT_ENCODING="UTF-8"
# Crawl responsibly by identifying yourself (and your website) on the user-agent
MY_USER_AGENT = [
    "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; AcooBrowser; .NET CLR 1.1.4322; .NET CLR 2.0.50727)",
    "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.0; Acoo Browser; SLCC1; .NET CLR 2.0.50727; Media Center PC 5.0; .NET CLR 3.0.04506)",
    "Mozilla/4.0 (compatible; MSIE 7.0; AOL 9.5; AOLBuild 4337.35; Windows NT 5.1; .NET CLR 1.1.4322; .NET CLR 2.0.50727)",
    "Mozilla/5.0 (Windows; U; MSIE 9.0; Windows NT 9.0; en-US)",
    "Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Win64; x64; Trident/5.0; .NET CLR 3.5.30729; .NET CLR 3.0.30729; .NET CLR 2.0.50727; Media Center PC 6.0)",
    "Mozilla/5.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; .NET CLR 1.0.3705; .NET CLR 1.1.4322)",
    "Mozilla/4.0 (compatible; MSIE 7.0b; Windows NT 5.2; .NET CLR 1.1.4322; .NET CLR 2.0.50727; InfoPath.2; .NET CLR 3.0.04506.30)",
    "Mozilla/5.0 (Windows; U; Windows NT 5.1; zh-CN) AppleWebKit/523.15 (KHTML, like Gecko, Safari/419.3) Arora/0.3 (Change: 287 c9dfb30)",
    "Mozilla/5.0 (X11; U; Linux; en-US) AppleWebKit/527+ (KHTML, like Gecko, Safari/419.3) Arora/0.6",
    "Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.8.1.2pre) Gecko/20070215 K-Ninja/2.1.1",
    "Mozilla/5.0 (Windows; U; Windows NT 5.1; zh-CN; rv:1.9) Gecko/20080705 Firefox/3.0 Kapiko/3.0",
    "Mozilla/5.0 (X11; Linux i686; U;) Gecko/20070322 Kazehakase/0.4.5",
    "Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.0.8) Gecko Fedora/1.9.0.8-1.fc10 Kazehakase/0.5.6",
    "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/535.11 (KHTML, like Gecko) Chrome/17.0.963.56 Safari/535.11",
    "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_7_3) AppleWebKit/535.20 (KHTML, like Gecko) Chrome/19.0.1036.7 Safari/535.20",
    "Opera/9.80 (Macintosh; Intel Mac OS X 10.6.8; U; fr) Presto/2.9.168 Version/11.52",
    "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.11 (KHTML, like Gecko) Chrome/20.0.1132.11 TaoBrowser/2.0 Safari/536.11",
    "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/21.0.1180.71 Safari/537.1 LBBROWSER",
    "Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; WOW64; Trident/5.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; .NET4.0C; .NET4.0E; LBBROWSER)",
    "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; QQDownload 732; .NET4.0C; .NET4.0E; LBBROWSER)",
    "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/535.11 (KHTML, like Gecko) Chrome/17.0.963.84 Safari/535.11 LBBROWSER",
    "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.1; WOW64; Trident/5.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; .NET4.0C; .NET4.0E)",
    "Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; WOW64; Trident/5.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; .NET4.0C; .NET4.0E; QQBrowser/7.0.3698.400)",
    "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; QQDownload 732; .NET4.0C; .NET4.0E)",
    "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; SV1; QQDownload 732; .NET4.0C; .NET4.0E; 360SE)",
    "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; QQDownload 732; .NET4.0C; .NET4.0E)",
    "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.1; WOW64; Trident/5.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; .NET4.0C; .NET4.0E)",
    "Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/21.0.1180.89 Safari/537.1",
    "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/21.0.1180.89 Safari/537.1",
    "Mozilla/5.0 (iPad; U; CPU OS 4_2_1 like Mac OS X; zh-cn) AppleWebKit/533.17.9 (KHTML, like Gecko) Version/5.0.2 Mobile/8C148 Safari/6533.18.5",
    "Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:2.0b13pre) Gecko/20110307 Firefox/4.0b13pre",
    "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:16.0) Gecko/20100101 Firefox/16.0",
    "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.11 (KHTML, like Gecko) Chrome/23.0.1271.64 Safari/537.11",
    "Mozilla/5.0 (X11; U; Linux x86_64; zh-CN; rv:1.9.2.10) Gecko/20100922 Ubuntu/10.10 (maverick) Firefox/3.6.10",
    "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36",
    ]
# Obey robots.txt rules
ROBOTSTXT_OBEY = False

# Configure maximum concurrent requests performed by Scrapy (default: 16)
#CONCURRENT_REQUESTS = 32

# Configure a delay for requests for the same website (default: 0)
# See https://docs.scrapy.org/en/latest/topics/settings.html#download-delay
# See also autothrottle settings and docs
#DOWNLOAD_DELAY = 3
# The download delay setting will honor only one of:
#CONCURRENT_REQUESTS_PER_DOMAIN = 16
#CONCURRENT_REQUESTS_PER_IP = 16

# Disable cookies (enabled by default)
COOKIES_ENABLED = False

# Disable Telnet Console (enabled by default)
#TELNETCONSOLE_ENABLED = False

# Override the default request headers:
DEFAULT_REQUEST_HEADERS = {
    
    
  'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
  'Accept-Language': 'en',
  "User-Agent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/89.0.4389.114 Safari/537.36",
  "Cookie":"userName=xxxxxx; ASP.NET_SessionId=n1omhosmkcyjhyhba3meor0e; iflysse_client_sign=0f1d7195-8fca-4abd-b215-2dd2f15636e2; cacheHeader=%e9%bb%84%e5%a4%a9%e6%98%a5%3a1%3a%3a1; td_cookie=3363675142; SessionId=82413c7c-ec2b-45e1-bd9e-d763342bff3d"

}

# Enable or disable spider middlewares
# See https://docs.scrapy.org/en/latest/topics/spider-middleware.html
#SPIDER_MIDDLEWARES = {
    
    
#    'bosi.middlewares.BosiSpiderMiddleware': 543,
#}

# Enable or disable downloader middlewares
# See https://docs.scrapy.org/en/latest/topics/downloader-middleware.html
DOWNLOADER_MIDDLEWARES = {
    
    
   'bosi.middlewares.BosiDownloaderMiddleware': 543,
    'scrapy.downloadermiddleware.useragent.UserAgentMiddleware': None,
    'myproject.middlewares.MyUserAgentMiddleware': 400,
}

# Enable or disable extensions
# See https://docs.scrapy.org/en/latest/topics/extensions.html
#EXTENSIONS = {
    
    
#    'scrapy.extensions.telnet.TelnetConsole': None,
#}

# Configure item pipelines
# See https://docs.scrapy.org/en/latest/topics/item-pipeline.html
ITEM_PIPELINES = {
    
    
   'bosi.pipelines.BosiPipeline': 300,
}

# Enable and configure the AutoThrottle extension (disabled by default)
# See https://docs.scrapy.org/en/latest/topics/autothrottle.html
#AUTOTHROTTLE_ENABLED = True
# The initial download delay
#AUTOTHROTTLE_START_DELAY = 5
# The maximum download delay to be set in case of high latencies
#AUTOTHROTTLE_MAX_DELAY = 60
# The average number of requests Scrapy should be sending in parallel to
# each remote server
#AUTOTHROTTLE_TARGET_CONCURRENCY = 1.0
# Enable showing throttling stats for every response received:
#AUTOTHROTTLE_DEBUG = False

# Enable and configure HTTP caching (disabled by default)
# See https://docs.scrapy.org/en/latest/topics/downloader-middleware.html#httpcache-middleware-settings
#HTTPCACHE_ENABLED = True
#HTTPCACHE_EXPIRATION_SECS = 0
#HTTPCACHE_DIR = 'httpcache'
#HTTPCACHE_IGNORE_HTTP_CODES = []
#HTTPCACHE_STORAGE = 'scrapy.extensions.httpcache.FilesystemCacheStorage'

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