SmartScraper: 简单、自动、快捷的Python网络爬虫

Overview

SmartScraper: 简单、自动、快捷的Python网络爬虫

Note: The origin developer of SmartScraper is Alireza Mika, I only change a little code of AutoScraper.

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SmartScraper使页面数据抓取变得容易,不再需要学习诸如pyquery、beautifulsoup等定位包,我们只需要提供的url和数据给ta学习网页定位规律即可。

一、安装

pip install smartscraper



二、快速上手

2.1 获取相似结果

例如 我们想从 豆瓣读书-小说 页面获得20本书的书名和出版信息

我们使用P1链接训练书名、出版信息这两个字段

from smartscraper import SmartScraper

# 待训练的网页链接
url = 'https://book.douban.com/tag/小说?start=0&type=T'

#定义 想要的字段
wanted_dict = {"title":["活着"],
               "pub": ["余华 / 作家出版社 / 2012-8-1 / 20.00元"]
              }

# 训练/在url对应的页面中寻找wanted_dict规律
scraper = SmartScraper()
results = scraper.build(url, wanted_dict=wanted_dict)
print(results)

运行代码,采集到的results如下

{'title': ['活着', 
           '房思琪的初恋乐园', 
           '白夜行', 
           '索拉里斯星', 
           '鄙视',
           ...], 
 'pub': ['余华 / 作家出版社 / 2012-8-1 / 20.00元', 
         '林奕含 / 北京联合出版公司 / 2018-2 / 45.00元', 
         '[日] 东野圭吾 / 刘姿君 / 南海出版公司 / 2013-1-1 / CNY 39.50', 
         '[波] 斯坦尼斯瓦夫·莱姆 / 靖振忠 / 译林出版社 / 2021-8 / 49.00元', 
         '[意] 阿尔贝托·莫拉维亚 / 沈萼梅、刘锡荣 / 江苏凤凰文艺出版社 / 2021-7 / 62.00',
          ...]
}

使用刚刚训练的scraper尝试从 P2链接 获取书名和出版信息

scraper.get_result_similar('https://book.douban.com/tag/小说?start=20&type=T')

2.2 保存模型

训练的smartscraper模型可以保存,后续直接调用

scraper.save('douban_Book.pkl')

模型导入代码

scraper.load('douban_Book.pkl')



三、其他

3.1 项目补充说明



3.2 相关课程

如果您是经管人文社科专业背景,编程小白,面临海量文本数据采集和处理分析艰巨任务,个人建议学习《python网络爬虫与文本数据分析》视频课。作为文科生,一样也是从两眼一抹黑开始,这门课程是用五年时间凝缩出来的。自认为讲的很通俗易懂o( ̄︶ ̄)o,

  • python入门
  • 网络爬虫
  • 数据读取
  • 文本分析入门
  • 机器学习与文本分析
  • 文本分析在经管研究中的应用

感兴趣的童鞋不妨 戳一下《python网络爬虫与文本数据分析》进来看看~



3.3 自媒体

Owner
DaDeng
圣 马家沟男子职业技术学院在读博士
DaDeng
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