learn_python3_spider vs requests-html
Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.
Open source · MIT
A Chinese-language tutorial series that teaches Python web scraping from beginner to advanced.
Open source · MIT
Python library for parsing HTML and running JavaScript-rendered pages, built on requests.
The short answer
Choose learn_python3_spider if you need…
- Chinese-speaking beginners who want a structured path into Python scraping
- People who prefer learning from written tutorials in Chinese
- Developers who want examples of handling anti-scraping techniques like CSS obfuscation and JS reverse engineering
- Students looking for a worked example of scraping a site and saving the data to a database
Choose requests-html if you need…
- Python developers who already use requests and want to parse HTML in the same style
- Small scraping scripts that pull a few fields from pages
- People learning how web scraping with CSS selectors works
Side-by-side
| learn_python3_spider | requests-html | |
|---|---|---|
| Type | Learning resource | Library |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 22.3k | 13.8k |
| Setup difficulty | Beginner | Beginner |
| How you get it | Read it online | Install with a package manager |
| Main language | Python | Python |
| Last code update | 25 days ago | 3 years ago |
What each one is
learn_python3_spider
This repository is a collection of Chinese-language tutorials on writing web scrapers in Python, organized as a step-by-step course. The README lists lessons covering browser and phone packet capture, common libraries such as requests, BeautifulSoup, Selenium, Appium and Scrapy, proxies, captcha recognition, MySQL and MongoDB storage, and reverse-engineering anti-scraping defenses. Most lessons are linked articles rather than code in the repository.
requests-html
requests-html is a Python library for fetching web pages and pulling information out of their HTML using CSS selectors. It is built on top of the requests HTTP library, so its interface will feel familiar if you already use requests. The project's description calls it Pythonic HTML parsing for humans, and its topics list lxml, pyquery and BeautifulSoup as related tools.
Best for
learn_python3_spider
- Chinese-speaking beginners who want a structured path into Python scraping
- People who prefer learning from written tutorials in Chinese
- Developers who want examples of handling anti-scraping techniques like CSS obfuscation and JS reverse engineering
- Students looking for a worked example of scraping a site and saving the data to a database
requests-html
- Python developers who already use requests and want to parse HTML in the same style
- Small scraping scripts that pull a few fields from pages
- People learning how web scraping with CSS selectors works
Strengths
learn_python3_spider
- Covers a broad range of scraping topics in one ordered series
- Very popular, with about 22,000 stars on GitHub
- Released under the MIT license, so the material can be reused with few restrictions
requests-html
- Familiar API for anyone who has used the requests library
- Uses CSS selectors to find elements in a page
- MIT licensed with a large community following (13,804 stars)
Not ideal for
learn_python3_spider
- Readers who need English-language material, since the README and most lessons are in Chinese
- Anyone looking for a software library or tool to install, because this is a tutorial collection
- People wanting a maintained, tested codebase, since the README does not describe one beyond the tutorial links
requests-html
- Large-scale crawling, since the README excerpt provided gives no performance or concurrency details
- Projects that need a long-term maintained dependency, since the last push shown is April 2024 and the README was not available to confirm current status
Trade-offs
learn_python3_spider
- Most content is in Chinese and lives in external linked articles, which may change or disappear
- The README does not describe runnable code or setup for the course itself
- Some topics, such as reverse engineering and bypassing protections, need care about the terms of the sites involved
requests-html
- The README excerpt was empty, so feature details and current maintenance status are not confirmed here
- Latest release v0.10.0 ships without binaries and the last push date is April 2024
Getting started
learn_python3_spider
Clone the repository
git clone https://github.com/wistbean/learn_python3_spider.gitFrequently asked questions
What is the difference between learn_python3_spider and requests-html?
learn_python3_spider: A Chinese-language tutorial series that teaches Python web scraping from beginner to advanced. requests-html: Python library for parsing HTML and running JavaScript-rendered pages, built on requests. learn_python3_spider suits chinese-speaking beginners who want a structured path into python scraping, while requests-html suits python developers who already use requests and want to parse html in the same style.
Are learn_python3_spider and requests-html free?
learn_python3_spider: Free and open source. requests-html: Free and open source.
Is learn_python3_spider or requests-html more popular?
learn_python3_spider has more GitHub stars (22.3k) than requests-html (13.8k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to learn_python3_spider and requests-html?
Other options people compare them with include jsoup, ScrapeGraphAI.
Keep comparing
Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.