How to Download All Files with a Python Web Scraper: Step-by-Step Guide
This article walks through a Python web‑scraping solution for downloading individual files from a site, presenting the problem, multiple approaches, and a complete, ready‑to‑run script, while also offering tips for handling large data and avoiding IP blocks.
1. Introduction
Hello, I'm Pipi. A few days ago in the Python Diamond group a member asked a question about Python web crawling, which I share here.
He wanted to retrieve all files, but in practice could only fetch a single file.
2. Implementation
Classmate Ning provided a solution idea, as shown in the figure:
Later, Teacher Yuliang offered another method, illustrated below:
A direct one‑step solution is shown here:
Below is the complete code:
import requests
import time
from lxml import html
from lxml import etree
headers = {
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/109.0.0.0 '
'Safari/537.36'
}
def get_href_links(url):
response = requests.get(url, headers=headers)
page_content = response.content
dom_tree = html.fromstring(page_content)
href_links = dom_tree.xpath('//a/@href')
return href_links
url = "https://mp.weixin.qq.com/s/BANHI5apQzlpeTTdLZAIvg"
urls = set(get_href_links(url)[1:-5])
mp3_d_url = 'https://res.wx.qq.com/voice/getvoice?mediaid={}'
for url in urls:
response = requests.get(url, headers=headers)
html_text = response.text
selector = etree.HTML(html_text)
voice_encode_fileid = selector.xpath('//mpvoice/@voice_encode_fileid')[0]
name = selector.xpath('//mpvoice/@name')[0]
d_url = mp3_d_url.format(voice_encode_fileid)
response = requests.get(d_url)
if response.status_code == 200:
with open(name, 'wb') as f:
f.write(response.content)
print(f'{name} 下载成功!')
else:
print(f'{name} 下载失败!')
time.sleep(1) # 设置请求间隔时间为1秒,避免被封IPThe script successfully solved the fan's problem.
3. Conclusion
This article addresses a Python web‑crawling issue, providing analysis and a complete implementation to help solve it.
Tip: When posting large files in a group, consider data masking and share only demo (small) files, include reproducible code snippets, and attach error screenshots if needed.
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