比如下面这个网页：
http://search.cnki.net/Search.aspx?q=肉制品

搜索出来的结果和知网上的结果几乎一样，另外以后面试找Python工作，项目经验展示是核心，如果你缺项目练习，去小编的Python交流.裙 ：一久武其而而流一思（数字的谐音）转换下可以找到了，里面很多新教程项目

在这个基础上，我简单看了些网页的结构，很容易就能写出爬取得代码（是最基础的，相当不完善，增加其他功能可自行增加）

网页的结构还是很清晰的

摘要信息也很清晰

我使用的是 pymysql 连接的数据库，效率也还可以
下面直接贴代码：

# -*- coding: utf-8 -*-

import time

import re

import random

import requests

from bs4 import BeautifulSoup

import pymysql

connection = pymysql.connect(host='',

                             user='',

                             password='',

                             db='',

                             port=3306,

                             charset='utf8')  # 注意是utf8不是utf-8

# 获取游标

cursor = connection.cursor()

#url = 'http://epub.cnki.net/grid2008/brief/detailj.aspx?filename=RLGY201806014&dbname=CJFDLAST2018'

#这个headers信息必须包含，否则该网站会将你的请求重定向到其它页面

headers = {

    'Accept':'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8',

    'Accept-Encoding':'gzip, deflate, sdch',

    'Accept-Language':'zh-CN,zh;q=0.8',

    'Connection':'keep-alive',

    'Host':'www.cnki.net',

    'Referer':'http://search.cnki.net/search.aspx?q=%E4%BD%9C%E8%80%85%E5%8D%95%E4%BD%8D%3a%E6%AD%A6%E6%B1%89%E5%A4%A7%E5%AD%A6&rank=relevant&cluster=zyk&val=CDFDTOTAL',

    'Upgrade-Insecure-Requests':'1',

    'User-Agent':'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/55.0.2883.87 Safari/537.36'

}

headers1 = {

        'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.143 Safari/537.36'

    }

def get_url_list(start_url):

    depth = 20

    url_list = []

    for i in range(depth):

        try:

            url = start_url + "&p=" + str(i * 15)

            search = requests.get(url.replace('\n', ''), headers=headers1)

            soup = BeautifulSoup(search.text, 'html.parser')

            for art in soup.find_all('div', class_='wz_tab'):

                print(art.find('a')['href'])

                if art.find('a')['href'] not in url_list:

                    url_list.append(art.find('a')['href'])

            print("爬取第" + str(i) + "页成功！")

            time.sleep(random.randint(1, 3))

        except:

            print("爬取第" + str(i) + "页失败！")

    return url_list

def get_data(url_list, wordType):

    try:

        # 通过url_results.txt读取链接进行访问

        for url in url_list:

            i = 1;

            if url == pymysql.NULL or url == '':

                continue

            try:

                html = requests.get(url.replace('\n', ''), headers=headers)

                soup = BeautifulSoup(html.text, 'html.parser')

            except:

                print("获取网页失败")

            try:

                print(url)

                if soup is None:

                    continue

                # 获取标题

                title = soup.find('title').get_text().split('-')[0]

                # 获取作者

                author = ''

                for a in soup.find('div', class_='summary pad10').find('p').find_all('a', class_='KnowledgeNetLink'):

                    author += (a.get_text() + ' ')

                # 获取摘要

                abstract = soup.find('span', id='ChDivSummary').get_text()

                # 获取关键词，存在没有关键词的情况

            except:

                print("部分获取失败")

                pass

            try:

                key = ''

                for k in soup.find('span', id='ChDivKeyWord').find_all('a', class_='KnowledgeNetLink'):

                    key += (k.get_text() + ' ')

            except:

                pass

            print("第" + str(i) + "个url")

            print("【Title】：" + title)

            print("【author】：" + author)

            print("【abstract】：" + abstract)

            print("【key】：" + key)

            # 执行SQL语句

            cursor.execute('INSERT INTO cnki VALUES (NULL, %s, %s, %s, %s, %s)', (wordType, title, author, abstract, key))

            # 提交到数据库执行

            connection.commit()

            print()

        print("爬取完毕")

    finally:

        print()

if __name__ == '__main__':

    try:

        for wordType in {"大肠杆菌", "菌群总落", "胭脂红", "日落黄"}:

            wordType = "肉+" + wordType

            start_url = "http://search.cnki.net/search.aspx?q=%s&rank=relevant&cluster=zyk&val=" % wordType

            url_list = get_url_list(start_url)

            print("开始爬取")

            get_data(url_list, wordType)

            print("一种类型爬取完毕")

        print("全部爬取完毕")

    finally:

        connection.close()

在这里的关键词我简单的选了几个，作为实验，如果爬取的很多，可以写在txt文件里，直接读取就可以，非常方便。