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'))

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