How to Fix Text Encoding Issues in Python Web Scraping (Step‑by‑Step)
This article walks through a common Python web‑scraping text‑encoding problem, provides a complete code example using requests and BeautifulSoup, shows screenshots of the solution, and offers practical tips for asking similar technical questions in the community.
1. Introduction
Hello, I'm PiPi. Recently a member of the Python community asked about garbled text when crawling web pages with Python.
2. Code Example
url = 'https://www.fwsir.com/Article/html/Article_20230101085126_2180223.html'
heades = {'user-agent':'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.198 Safari/537.36'}
r = requests.get(url=url,headers=heades).text
r.encode('utf-8')
soup = BeautifulSoup(r,'html.parser')
s1 = soup.select('div.content>p')
for i in s1:
print(i.get_text())3. Solution Process
The encoding problem is common. A community member provided a hint, illustrated with screenshots.
Another member shared a practical screenshot confirming the code works.
A third contributor added additional crawling knowledge.
4. Summary
This article presented a typical Python web‑scraping text‑encoding issue, explained the cause, and provided a complete code solution that successfully extracts readable text.
When asking similar questions, it is recommended to share a small, anonymized data sample, include the error screenshot, and keep the code concise (under 50 lines) or attach a .py file for longer scripts.
Signed-in readers can open the original source through BestHub's protected redirect.
This article has been distilled and summarized from source material, then republished for learning and reference. If you believe it infringes your rights, please contactand we will review it promptly.
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