python网络数据采集 中文版-免费下载
目录 译者序 ..................................................................................................................................... 前言 .......................................................................................................................................... 第一部分 创建爬虫 第 1 章 初见网络爬虫 ...................................................................................................... 1.1 网络连接 .................................................................................................................... 1.2 BeautifulSoup 简介 .................................................................................................... 1.2.1 安装 BeautifulSoup ....................................................................................... 1.2.2 运行 BeautifulSoup ....................................................................................... 1.2.3 可靠的网络连接 ........................................................................................... 第 2 章 复杂 HTML 解析 ................................................................................................ 2.1 不是一直都要用锤子 ................................................................................................ 2.2 再端一碗 BeautifulSoup............................................................................................ 2.2.1 BeautifulSoup 的 find() 和 findAll() ....................................................... 2.2.2 其他 BeautifulSoup 对象 .............................................................................. 2.2.3 导航树 ........................................................................................................... 2.3 正则表达式 ................................................................................................................ 2.4 正则表达式和 BeautifulSoup.................................................................................... 2.5 获取属性 .................................................................................................................... 2.6 Lambda 表达式 .......................................................................................................... 2.7 超越 BeautifulSoup.................................................................................................... 第 3 章 开始采集..............................................................................................................................26 3.1 遍历单个域名...........................................................................................................................26 3.2 采集整个网站...........................................................................................................................30 3.3 通过互联网采集.......................................................................................................................34 3.4 用 Scrapy 采集..........................................................................................................................38 第 4 章 使用 API ..............................................................................................................................42 4.1 API 概述 ...................................................................................................................................43 4.2 API 通用规则 ...........................................................................................................................43 4.2.1 方法 ..............................................................................................................................44 4.2.2 验证 ..............................................................................................................................44 4.3 服务器响应...............................................................................................................................45 4.4 Echo Nest ..................................................................................................................................46 4.5 Twitter API................................................................................................................................48 4.5.1 开始 ..............................................................................................................................48 4.5.2 几个示例 ......................................................................................................................50 4.6 Google API................................................................................................................................52 4.6.1 开始 ..............................................................................................................................52 4.6.2 几个示例 ......................................................................................................................53 4.7 解析 JSON 数据 .......................................................................................................................55 4.8 回到主题...................................................................................................................................56 4.9 再说一点 API ...........................................................................................................................60 第 5 章 存储数据..............................................................................................................................61 5.1 媒体文件...................................................................................................................................61 5.2 把数据存储到 CSV ..................................................................................................................64 5.3 MySQL......................................................................................................................................65 5.3.1 安装 MySQL ................................................................................................................66 5.3.2 基本命令 ......................................................................................................................68 5.3.3 与 Python 整合 .............................................................................................................71 5.3.4 数据库技术与最佳实践 ..............................................................................................74 5.3.5 MySQL 里的“六度空间游戏”..................................................................................75 5.4 Email .........................................................................................................................................77 第 6 章 读取文档..............................................................................................................................80 6.1 文档编码...................................................................................................................................80 6.2 纯文本.......................................................................................................................................81 6.3 CSV ...........................................................................................................................................85 6.4 PDF............................................................................................................................................87 6.5 微软 Word 和 .docx..................................................................................................................88 目录 | vii 第二部分 高级数据采集 第 7 章 数据清洗..............................................................................................................................94 7.1 编写代码清洗数据...................................................................................................................94 7.2 数据存储后再清洗...................................................................................................................98 第 8 章 自然语言处理...................................................................................................................103 8.1 概括数据.................................................................................................................................104 8.2 马尔可夫模型.........................................................................................................................106 8.3 自然语言工具包.....................................................................................................................112 8.3.1 安装与设置 ................................................................................................................112 8.3.2 用 NLTK 做统计分析 ................................................................................................113 8.3.3 用 NLTK 做词性分析 ................................................................................................115 8.4 其他资源.................................................................................................................................119 第 9 章 穿越网页表单与登录窗口进行采集...........................................................................120 9.1 Python Requests 库 .................................................................................................................120 9.2 提交一个基本表单.................................................................................................................121 9.3 单选按钮、复选框和其他输入.............................................................................................123 9.4 提交文件和图像.....................................................................................................................124 9.5 处理登录和 cookie .................................................................................................................125 9.6 其他表单问题.........................................................................................................................127 第 10 章 采集 JavaScript ............................................................................................................128 10.1 JavaScript 简介 .....................................................................................................................128 10.2 Ajax 和动态 HTML..............................................................................................................131 10.3 处理重定向...........................................................................................................................137 第 11 章 图像识别与文字处理 ...................................................................................................139