The following article is from Tencent Cloud by Py3Study

(Want to learn Python? Python Learning exchange group: 1039649593, to meet your needs, materials have been uploaded to the group file stream, you can download! There is also a huge amount of new 2020Python learning material.)



Data information collection is inseparable from Python crawler, and Python crawler is inseparable from proxy IP, their combination can do a lot of things, such as search engine, data collection, advertising filtering, etc. Python crawler can also be used for data analysis, in the aspect of data capture can produce a huge role!

A Python crawler is made up of architectural components;

URL manager: manage the URL set to be climbed and has been climbed URL set, transmission to be climbed URL to web page download; Web page download: crawling url corresponding web page, stored into a string, sent to the web page parser; Web page parser: parses out valuable data, stores it, and adds urls to the URL manager. The Python crawler determines whether the URL needs to be crawled through the URL manager. If the URL needs to be crawled, it will be transmitted to the downloader through the scheduler, and the URL content will be downloaded and transmitted to the parser through the scheduler. The URL content will be parsed and the value data and new URL list will be transmitted to the application program through the scheduler. And output value information process.

Common frameworks for Python crawlers are:

Grab: Web crawler framework (based on Pycurl/Multicur);

Scrapy: web crawler framework (based on twisted). Python3 is not supported.

Pyspider: a powerful crawler system;

Cola: A distributed crawler framework;

Portia: Visual crawler based on Scrapy;

Restkit: HTTP resource toolkit for Python. It gives you easy access to HTTP resources and objects built around it;

Demiurge: A crawler microframework based on PyQuery.

Python crawlers are widely used and dominate in the field of web crawlers. With the application of Scrapy, Request, BeautifuSoap, urlib and other frameworks, you can achieve the function of crawling freely. As long as you capture ideas, Python crawlers can be implemented!

Happy proxy IP is an indispensable part of Python web crawler. It has built high-quality HTTP proxy and SOCKS proxy, and high-quality short-effect proxy IP. IP resources are rich all over the country, with high speed and stability, which is very suitable for python web crawler application scenarios.