生成一个爬全网pdf文件的源码
时间: 2024-10-11 22:17:05 浏览: 13
创建一个爬取全网PDF文件的完整源码是一个复杂的任务,涉及到网络爬虫技术、HTTP请求、PDF处理库(如PyPDF2或PDFBox)、网页解析(如BeautifulSoup或Pandas-HTML)以及可能的数据存储(例如SQLite或MongoDB)。下面是一个简化版的Python脚本示例,使用了`requests`, `beautifulsoup4` 和 `PyPDF2`,但这只是一个基本框架,并未涵盖所有细节,实际项目可能需要更专业的错误处理和反爬虫策略:
```python
import os
import requests
from bs4 import BeautifulSoup
import PyPDF2
# 爬取目标URL
def crawl_pdf(url):
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')
# 查找PDF链接
pdf_links = [a['href'] for a in soup.find_all('a', href=True) if a['href'].endswith('.pdf')]
for link in pdf_links:
try:
# 下载PDF文件
pdf_response = requests.get(link, stream=True)
with open(os.path.join('pdfs', link.split('/')[-1]), 'wb') as f:
f.write(pdf_response.content)
# 使用PyPDF2打开并合并PDF
with open(f.name, 'rb') as file:
reader = PyPDF2.PdfFileReader(file)
output_pdf = PyPDF2.PdfFileWriter()
for page_num in range(reader.numPages):
output_pdf.addPage(reader.getPage(page_num))
# 写入结果PDF
with open('output.pdf', 'ab') as out_file:
output_pdf.write(out_file)
except Exception as e:
print(f"Error processing {link}: {str(e)}")
# 主函数
if __name__ == "__main__":
base_url = "http://example.com" # 替换为你想要爬取的目标网站
main_url = base_url + "/search?q=pdf" # 示例搜索查询,根据需求修改
crawl_pdf(main_url)
```
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