Python网页内容提取库总结
简介
以下介绍的库均为从网页中自动解析想要的内容，从而解放了需要每个网站都要正则匹配或者xpath的超大工作量。
一、lassie：人性化的网页内容检索库
安装
pip3 install lassie使用：
import lassie
lassie.fetch('http://www.thepipefittings.com/compression-fittings.html')输入：
{'images': [{'src': 'http://www.thepipefittings.com/favicon.ico',
'type': 'favicon'}],
'videos': [],
'url': 'http://www.thepipefittings.com/compression-fittings.html',
'title': 'Compression Fittings,Manipulative Compression Fittings,Brass Compression Fittings,Compression Fittings Suppliers',
'status_code': 200}二、newspaper：新闻内容爬虫专用包
安装：
pip3 install newspaper3k需要安装的是newspaper3k而不是newspaper，因为newspaper是python 2的安装包，pip install
newspaper 无法正常安装，请用python 3对应的 pip install newspaper3k正确安装。
使用：
from newspaper import Article
# import nltk
# nltk.download('punkt')
url = 'http://www.thepipefittings.com/compression-fittings.html'
article = Article(url) # Chinese
article.download()
article.parse()
article.nlp()
print(article.text)三、goose3: HTML 内容/文章提取器(python3)
安装：
pip3 install goose3使用：
from goose3 import Goose
url = 'http://www.thepipefittings.com/compression-fittings.html'
g = Goose()
article = g.extract(url=url)
article.title
# article.meta_description
# article.cleaned_text[:]输入：
'Compression Fittings,Manipulative Compression Fittings,Brass Compression Fittings,Compression Fittings Suppliers'四、python-readability：arc90 公司 readability 工具的 Python 高速端口
安装：
pip3 install readability-lxml使用：
import requests
from readability import Document
url = 'https://www.pipingengineer.org/piping-materials-buttweld-fittings/'
html = requests.get(url).content
doc = Document(html)
print('title:', doc.title())
print('content:', doc.summary(html_partial=True))输出：
title: Not Acceptable!
content: <div><body id="readabilityBody"><h1>Not Acceptable!</h1><p>An appropriate representation of the requested resource could not be found on this server. This error was generated by Mod_Security.</p></body></div>五、textract：从任何格式的文档中提取文本，Word，PowerPoint，PDFs 等等
安装
pip3 install textract使用：
import textract
text = textract.process("xxx.pdf") #换成你自己本地的pdf
print(text.decode('utf-8'))