前言

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python开发环境

python 3.6

pycharm

requests

parsel

pdfkit

time

相关模块pip安装即可

目标网页分析

1、先从列表页中获取详情页的URL地址

是静态网站，可以直接请求网页获取数据

for page in range(1, 31):

url = 'https://www.bibenet.com/mfzbu{}.html'.format(page)

headers = {

'Referer': 'https://www.bibenet.com/mianfei/',

'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.138 Safari/537.36'

}

response = requests.get(url=url, headers=headers)

selector = parsel.Selector(response.text)

urls = selector.css('body > div.wrap > div.clearFiex > div.col9.fl > div.secondary_box > table tr .fl a::attr(href)').getall()

for page_url in urls:

print(page_url)

2、从详情页中获取标题以及内容

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response_2 = requests.get(url=page_url, headers=headers)

selector_2 = parsel.Selector(response_2.text)

article = selector_2.css('.container').get()

title = selector_2.css('.detailtitle::text').get()

3、保存html网页数据并转成PDF

html_str = """

Document

{article}

"""

def download(article, title):

html = html_str.format(article=article)

html_path = 'D:\\python\\demo\\招标网\\文书\\' + title + '.html'

pdf_path = 'D:\\python\\demo\\招标网\\文书\\' + title + '.pdf'

with open(html_path, mode='wb', encoding='utf-8') as f:

f.write(html)

print('{}已下载完成'.format(title))

# exe 文件存放的路径

config = pdfkit.configuration(wkhtmltopdf='C:\\Program Files\\wkhtmltopdf\\bin\\wkhtmltopdf.exe')

# 把 html 通过 pdfkit 变成 pdf 文件

pdfkit.from_file(html_path, pdf_path, configuration=config)

运行实现效果