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Introduction to Python programming web crawler toolset

Introduction For a software engineering development project, it must start with obtaining data. No matter how text is processed, machine learning and data mining all require data. In addition to professional data purchased or downloaded through some channels, we often need to crawl the data ourselves. Crawlers are particularly important. So what are the Python programming web crawler tool sets? What? Let me introduce them to you one by one.

1. Beautiful Soup

Objectively speaking, Beautiful Soup is not entirely a set of crawler tools that need to be used in conjunction with urllib, but a set of HTML/XML data analysis, cleaning and acquisition thing.

2. Scrapy

Scrapy is similar to Scrapy, a fast high-level screen scraping and web crawling framework

for

Python. Many students have heard that many courses in the course map are based on Scrapy. There are many introductory articles in this area. I recommend an article by Daniel pluskid in his early years: "Scrapy

Easy Customization Web Crawler", timeless.

3. Python-Goose

Goose was first written in Java and later rewritten in Scala. It is a Scala project. Python-Goose is rewritten in Python and relies on Beautiful

Soup. Given the URL of an article, it is very convenient to get the title and content of the article, and it is very nice to use.

The above is an introduction to the Python programming web crawler tool set. I hope it can be helpful to everyone who is doing Python programming. Of course, learning Python programming requires not only tool learning, but also a lot of programming knowledge, which also needs to be learned well. Get up, come on!