Backend Development 3 min read

Browser Spoofing Techniques for Web Scraping: Principles and CSDN Example

This article explains why web servers block crawlers, how to identify a browser's User-Agent (using Chrome as an example), and demonstrates step‑by‑step how to disguise a scraper as a browser to retrieve the CSDN homepage and its article list.

Python Programming Learning Circle
Python Programming Learning Circle
Python Programming Learning Circle
Browser Spoofing Techniques for Web Scraping: Principles and CSDN Example

1. Principle of Browser Spoofing

When crawling certain websites, the server may return a 403 (Forbidden) response because it detects and blocks automated crawlers. To bypass this restriction, the crawler must masquerade as a regular web browser, typically by modifying the request headers.

2. Determining the Browser User‑Agent (Google Chrome Example)

Open Chrome, launch the Developer Tools (F12), refresh the page, and inspect any .js file or network request to view the User‑Agent string sent by the browser. The captured string can then be used in the scraper's headers.

Google Chrome Developer Tools interface

3. Using Browser Spoofing to Crawl the CSDN Homepage

By setting the captured User‑Agent in the request headers, the scraper can successfully retrieve the HTML of the CSDN homepage. The following code (illustrative) shows how to perform this request:

import requests
headers = {"User-Agent": "[captured User-Agent string]"}
response = requests.get("https://www.csdn.net", headers=headers)
print(response.text)

4. Using Browser Spoofing to Crawl All Articles on the CSDN Homepage

After obtaining the homepage HTML, the scraper can parse the page to extract links to individual articles and request each one with the same spoofed headers. Example code:

from bs4 import BeautifulSoup
soup = BeautifulSoup(response.text, "html.parser")
article_links = [a["href"] for a in soup.select("a.article-link")]
for url in article_links:
    article_resp = requests.get(url, headers=headers)
    # process article_resp.text

Disclaimer

Content originally sourced from https://www.jianshu.com/p/9a8e2722a110 .

backend-developmentuser-agentcrawlingweb-scrapingbrowser-spoofing
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Python Programming Learning Circle

A global community of Chinese Python developers offering technical articles, columns, original video tutorials, and problem sets. Topics include web full‑stack development, web scraping, data analysis, natural language processing, image processing, machine learning, automated testing, DevOps automation, and big data.

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