Python + Scrapy 抓取网站并生成PDF文档

有时候看到一些文档想保存为PDF,但是太多页,手动保存也太麻烦。于是考虑寻找Python实现的方法—— pdfkit
更多关注:
http://www.mknight.cn

wkhtmltopdf

  • wkhtmltopdf主要用于HTML生成PDF。
  • pdfkit是基于wkhtmltopdf的python封装,支持URL,本地文件,文本内容到PDF的转换,其最终还是调用wkhtmltopdf命令。是目前接触到的python生成pdf效果较好的。

安装

yum and pip

yum install wkhtmltopdf
pip install pdfkit

tar.xz

如果yum找不到,可以手动下载

wget https://github.com/wkhtmltopdf/wkhtmltopdf/releases/download/0.12.4/wkhtmltox-0.12.4_linux-generic-amd64.tar.xz
tar -xvf wkhtmltox-0.12.4_linux-generic-amd64.tar.xz
cd wkhtmltox/bin
cp ./* /usr/sbin/

验证

[root@xxx tmp]# wkhtmltopdf -V
wkhtmltopdf 0.12.4 (with patched qt)

相关详细介绍参考pdfkit + wkhtmltopdf

Scrapy

新建项目

scrapy starproject fox

目录结构:

.
├── scrapy.cfg
└── fox
    ├── __init__.py
    ├── items.py
    ├── middlewares.py
    ├── pipelines.py
    ├── settings.py
    └── spiders
        ├── __init__.py

流程

要抓取的网站
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提取URL-》提取内容-》保存HTML-》生成PDF

编辑爬虫文件

spiders/read.py

import scrapy, os
from scrapy.selector import Selector
from scrapy.http import Request
from fox import items as ReadItem

base_url = 'http://python3-cookbook.readthedocs.io/zh_CN/latest/'


class ReadSpider(scrapy.spiders.Spider):
    name = "read"
    start_urls = [
        'http://python3-cookbook.readthedocs.io/zh_CN/latest/',
    ]

    def parse(self, response):
        links = []
        s = Selector(response)
        items = s.xpath('//li[@class="toctree-l2"]/a')
        #循环出所有的章节URL
        for i in range(len(items)):
            url = s.xpath('//li[@class="toctree-l2"]/a/@href').extract()[i]
            #取出href
            if 'c0' in url or 'c1' in url:
                #排除其他无关URL
                c_url = base_url + url
                #拼接
                links.append(c_url)
            else:
                print('no', url)
        for link in links:
            print(link)
            yield Request(link, callback=self.get_content)

    def get_content(self, response):
        #根据URL,获取内容
        print('#########################获取HTML#########################')
        item = ReadItem.ReadItem()
        content = response.xpath('//div[@class="section"]').extract()[0]
        item['content'] = content
        item['url'] = response.url
        yield item

items.py

import scrapy
class ReadItem(scrapy.Item):
    content = scrapy.Field()
    url = scrapy.Field()

piplines.py

import os
html_template = """
        
        
        
            
        
        
        {content}
        
        
        """


class ReadPipeline(object):
    def process_item(self, item, spider):
        print('#########################获取Content#########################')
        url = item['url']
        content = item['content']
        html = html_template.format(content=content)
        file_name = url.split('/')[5][1:] + url.split('/')[6][1:3] + '.html'
        #拼接要保存的HTML文件名
        file_name = os.path.join(os.path.abspath('.'), 'htmls', file_name)
        print(file_name)
        #将拼接好的html写入文件
        with open(file_name, 'a+', encoding='utf-8') as f:
            f.write(html)

settings.py

ITEM_PIPELINES = {
    'fox.pipelines.ReadPipeline': 300,
#启用该piplines
}

HTML ——》 PDF

import os
import pdfkit

options = {
    'page-size': 'Letter',
    'margin-top': '0.75in',
    'margin-right': '0.75in',
    'margin-bottom': '0.75in',
    'margin-left': '0.75in',
    'encoding': "UTF-8",
    'custom-header': [
        ('Accept-Encoding', 'gzip')
    ],
    'cookie': [
        ('cookie-name1', 'cookie-value1'),
        ('cookie-name2', 'cookie-value2'),
    ],
    'outline-depth': 10,
}

filedir = os.path.join(os.path.abspath('.'), 'htmls')
files = os.listdir(filedir)
desc_file = os.path.join(os.path.abspath('.'), 'all.html')
#
for i in files:
    # 遍历单个文件,读取行数
    print(i)
    cc = os.path.join(os.path.abspath('.'), 'htmls', i)
    with open(cc, 'r', encoding='utf-8') as f:
        with open(desc_file, 'a+', encoding='utf-8') as new:
            new.write(f.read())

pdf = pdfkit.from_file('all.html', 'out.pdf', options=options)

验证

Python + Scrapy 抓取网站并生成PDF文档_第1张图片
image

就这样生成了PDF文件,如果确认HTML文件带

标签但是没有生成目录,那就说明是python版本问题,亲身经历的坑!Python 3.6!!!

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