Home Backend Development Golang What is the difference between golang crawler and Python crawler

What is the difference between golang crawler and Python crawler

Dec 12, 2023 pm 03:34 PM
python crawler golang crawler

The difference between golang crawlers and Python crawlers is: 1. Golang has higher performance, while Python is usually slower; 2. Golang’s syntax is concise and clear, while Python’s syntax is concise, easy to read and write ; 3. Golang inherently supports concurrency, while Python’s concurrency performance is relatively poor; 4. Golang has a rich standard library and third-party libraries, while Python has a huge ecosystem, etc.; 5. Golang is used for large projects, while Python Used for small projects.

What is the difference between golang crawler and Python crawler

The operating system for this tutorial: Windows 10 system, Go version 1.21, DELL G3 computer.

Golang (also known as Go language) and Python are both popular programming languages ​​and can be used to write web crawlers. While they both accomplish similar tasks, there are some notable differences between the two when it comes to crawling. In this article, I will introduce in detail the differences between Golang crawlers and Python crawlers, including performance, syntax, concurrency, ecosystem, and applicable scenarios.

1. Performance:

Golang is a compiled language, and its compiled program can be run directly on the operating system, so it has high performance. Golang's concurrency model and lightweight threads (goroutines) make it very suitable for handling large-scale concurrent tasks, which makes Golang perform well when handling a large number of concurrent requests in crawlers.

Python is an interpreted language. Its interpreter needs to convert the code into machine code in real time when running the program, so it is usually slower than Golang. Python's concurrency performance is relatively poor, and it may face performance bottlenecks especially when processing large-scale concurrent requests.

2. Grammar:

Golang’s syntax design is concise and clear, with a C language-style static type system and a powerful standard library. Golang's concurrency model is implemented through goroutines and channels, making it relatively easy to write concurrent programs.

Python’s syntax is concise, easy to read and write, and has a dynamic type system and a rich standard library. Python's syntax design makes it ideal for rapid development of prototypes and small projects, but it may have some limitations when dealing with large-scale concurrency.

3. Concurrency:

Golang inherently supports concurrency, and its goroutine and channel mechanisms make it relatively easy to write efficient concurrent programs. Golang's concurrency model makes it perform well when handling large-scale concurrent tasks, making it very suitable for crawler programs.

Python's concurrency performance is relatively poor, especially when processing large-scale concurrent requests, it may face performance bottlenecks. Although Python also has some libraries and modules for concurrent processing, such as multiprocessing and asyncio, compared to Golang's concurrency model, Python usually performs worse than Golang when dealing with large-scale concurrency.

4. Ecosystem:

Golang has a rich set of standard libraries and third-party libraries for processing network requests, parsing HTML, processing JSON and other tasks. Golang's standard library contains related functions for building crawlers, such as http package, net package, etc. In addition, Golang's concurrency model makes it more efficient when handling large-scale concurrent tasks.

Python has a huge ecosystem, with a large number of third-party libraries and frameworks to choose from, including libraries for crawlers, such as BeautifulSoup, Scrapy, etc. Python's ecosystem is great for rapid development of prototypes and small projects, but more optimization may be needed when handling large-scale concurrent tasks.

5. Applicable scenarios:

Golang is suitable for building high-performance, high-concurrency web crawlers, especially scenarios that need to handle large-scale concurrent requests. Due to the advantages of its concurrency model, Golang performs well when handling large-scale concurrent tasks.

Python is suitable for rapid development of prototypes and web crawlers for small projects, especially for simple crawler tasks. Python's syntax is concise, easy to read and write, and is very suitable for beginners and rapid iterative development.

In summary, both Golang and Python can be used to write web crawlers, but there are some differences in performance, syntax, concurrency, ecosystem and applicable scenarios. Users can choose the appropriate language to write crawler programs based on their own needs and project characteristics. If you need to handle large-scale concurrent tasks or pursue high-performance crawler programs, Golang may be more suitable; and if you need to quickly develop prototypes and crawlers for small projects, Python may be more suitable.

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