Python爬虫技术系列-06requests完成yz网数据采集V01

1.yz网数据爬取概述
2. 案例实现
- 2.1 模拟登录页面分析
- 2.2 模拟登录实现
- 2.3 构建待爬取的药材名称
- 2.4 药材查询页面分析
- 2.3 拼接网址，并获取数据
- 2.4 保存数据
- 2.5 保存数据
- 2.6 总结

1.yz网数据爬取概述

药智网在医药领域，有着很多的数据，在一次编书过程中，需要需要相关中药材数据，就通过使用爬虫技术获取部分数据。由于官方对爬虫类文章的限制，所以本文不进行过多展示。

2. 案例实现

2.1 模拟登录页面分析

登录页：

登录提交页面：

可以看到需要提交的数据

2.2 模拟登录实现

代码语言：javascript复制

import requests
import sys
import time

import bs4

# 初始化headers数据
headers = {
    "User-Agent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:106.0) Gecko/20100101 Firefox/106.0",
    "Referer":"https://www.yaozh.com/login/proxy?time={}".format(str(time.time_ns())[0:13]),
    "Cookie":"",
}
# 请求的登录路径
post_url = "https://www.yaozh.com/login"
# 传入的参数
post_data = {
    "username":"xxx",
    "pwd":"XXX",
    "type":"0",
    "pc_vode":"",
    "country":"86_zh-CN",
    "mobile":"",
    "vcode":"",
    "pincode":"",
    "formhash":"https://www.yaozh.com/login",
    "backurl":"https://www.yaozh.com/login"
}
# 构建session
session  = requests.session()
# 通过session发送post请求
session.post(post_url,post_data,headers=headers)

2.3 构建待爬取的药材名称

代码语言：javascript复制

zy_list = [
    "巴戟天","白芍","白术","萹蓄","苍耳子","炒白术","车前子","川芎",
    "大黄","大云","当归","党参","翟麦","茯苓","腹毛","甘草","狗脊",
    "枸杞","故之子","海金沙","黑杜仲","黑芋头","红花","黄柏","黄精",
    "黄连","黄芪","鸡血藤","姜黄","韭子","鹿茸","没药","牡丹皮",
    "木瓜","木通","木香","年见","牛膝","全虫","人参","乳香","桑寄生",
    "山药","山芋肉","伸筋草","生地","石楠藤","石韦","熟地","锁阳",
    "葶苈子","菟丝子","文术","西吉","细辛","香附","辛夷","续断",
    "阳起石","淫羊藿","元参","元胡","云苓","枝子","枳壳"
]

2.4 药材查询页面分析

基本网址为：

代码语言：javascript复制

https://db.yaozh.com/zhongyaocai?comprehensivesearchcontent=当归&

换一个中药，只需要更新当归即可。每个中药的页面为：

2.3 拼接网址，并获取数据

代码语言：javascript复制

import time
content_dict = {}
for zy_name in zy_list:
    time.sleep(10)
    # https://db.yaozh.com/zhongyaocai?comprehensivesearchcontent=黄芪&
    # 拼接药材信息网址
    zy_url = "https://db.yaozh.com/zhongyaocai?comprehensivesearchcontent={}&".format(zy_name)
    
    try:
        res = session.get(zy_url)
        res.encoding = res.apparent_encoding
        content_all = res.text
        # 把药材详情页加载为dom文档
        soup = bs4.BeautifulSoup(content_all,"html.parser")

        # 获取每个药材页面的数据
        tbody = soup.select('.table > tbody:nth-child(2) > tr')
        # 遍历页面
        for tr in tbody:
            num = 0
            content = []
            for cell in tr:
                num  = 1
                # 如果为偶数 提取其内容 把内容追加到列表中
                if num % 2 == 0:
                    content.append(cell.get_text())
                if num == 17:    
                    # 把当前数据追加到字典中 并其用中药名作为key    
                    content_dict[content[0]] =  content
            print("content:=====>",content)
    except:
        print("当前行有问题{}".format(zy_name))
        
# 查看保存的数据
print(content_dict)

输出为：

代码语言：javascript复制

{'巴戟天': ['巴戟天', '中药', '本品为茜草科植物巴戟天Morinda officinalis How 的干燥根。全年均可采挖，n洗净，除去须根，晒至六、七成干，轻轻捶扁，晒干。', '巴戟、巴吉天、戟天、巴戟肉、鸡肠风、猫肠筋、兔儿肠', '甘、辛，微温。归肾、肝经。', '补肾阳，强筋骨，祛风湿。用于阳痿遗精，宫冷不孕，月经不调，少腹冷痛，风湿痹痛，筋骨痿软。', '查看', '查看'], 
'白芍': ['白芍', '中药', '本品为毛茛科植物芍药Paeonia tacti lora Pall.的干燥根。夏、秋二季采挖，洗净，除去头尾和细根，置沸水中煮后除去外皮或去皮后再煮，晒干。', '白芍药、金芍药。', '苦、酸，微寒。归肝、脾经。', '养血调经，敛阴止汗，柔肝止痛，平抑肝阳。用于血虚萎黄，月经不调，自汗，盗汗，胁痛，腹痛，四肢挛痛，头痛眩晕。', '查看', '查看'], 
...
}

2.4 保存数据

代码语言：javascript复制

import pandas as pd

df1 = pd.DataFrame(content_dict,index = ['药材名称', '药材类别', '药材基原', '药材别名', '性味归经', '功能主治', '文件原文', '详情'])

df1

输出为：

2.5 保存数据

代码语言：javascript复制

df_t = df1.T
df_t.to_excel("./zhongyao.xlsx",engine  = "openpyxl")
df_t

输出为：

2.6 总结

尽管该网站对外公开的，但使用的过程中一定要注意采集数据的频率，不要给该网站带来性能压力。

爬虫

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