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What are the efficient Python crawler frameworks?

2025-02-24 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Servers >

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This article introduces the knowledge of "what is an efficient Python crawler framework". In the operation of actual cases, many people will encounter such a dilemma, so let the editor lead you to learn how to deal with these situations. I hope you can read it carefully and be able to achieve something!

1.Scrapy

Scrapy is an application framework written to crawl website data and extract structural data. It can be used in a series of programs, including data mining, information processing, or storing historical data. With this framework, you can easily climb down data such as Amazon product information.

Project address: https://scrapy.org/

2.PySpider

Pyspider is a powerful web crawler system implemented by python, which can write scripts, schedule functions and view crawl results in real time on the browser interface. The back end uses common databases to store crawl results, and can set tasks and task priorities regularly.

Project address: https://github.com/binux/pyspider

3.Crawley

Crawley can crawl the content of the corresponding website at high speed, support relational and non-relational databases, and the data can be exported to JSON, XML and so on. Learn Python crawler in one hour with zero foundation

Project address: http://project.crawley-cloud.com/

4.Portia

Portia is an open source visual crawler tool that allows you to crawl websites without any programming knowledge! Simply annotate the page you are interested in, and Portia will create a spider to extract data from similar pages.

Project address: https://github.com/scrapinghub/portia

5.Newspaper

Newspaper can be used to extract news, articles, and content analysis. Use multithreading, support more than 10 languages, and so on. Learn Python crawler in one hour with zero foundation

Project address: https://github.com/codelucas/newspaper

6.Beautiful Soup

Beautiful Soup is a Python library that can extract data from HTML or XML files. It can use your favorite converter to achieve the usual way to navigate, find, and modify documents. Beautiful Soup will save you hours or even days of work.

Project address: https://www.crummy.com/software/BeautifulSoup/bs4/doc/

7.Grab

Grab is a Python framework for building Web scrapers. With Grab, you can build a variety of complex page crawling tools, from simple five-line scripts to complex asynchronous site crawlers that handle millions of pages. Grab provides an API for executing network requests and processing received content, such as interacting with the DOM tree of an HTML document.

Project address: http://docs.grablib.org/en/latest/#grab-spider-user-manual

8.Cola

Cola is a distributed crawler framework, for users, only need to write a few specific functions, without paying attention to the details of distributed operation. Tasks are automatically assigned to multiple machines, and the whole process is transparent to users. Learn Python crawler in one hour with zero foundation

This is the end of the content of "what are the efficient Python crawler frameworks". Thank you for reading. If you want to know more about the industry, you can follow the website, the editor will output more high-quality practical articles for you!

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