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Preface
Is it easy to learn crawler Python? Learning crawlers requires a certain foundation. It is easier to learn Python crawlers if you have a basic programming foundation. But you need to read more and practice more, and have your own logical ideas. It is valuable to use Python to achieve your own learning purposes. If you are learning and understanding at an introductory level, it is not difficult to start learning, but it is difficult to learn in depth, especially for large projects.
Most crawlers follow the process of "sending a request - obtaining the page - parsing the page - extracting and storing content", simulating the process of using a browser to obtain web page information. After sending a request to the server, we will get the returned page. After parsing the page, we can extract the part of the information we want and store it in the specified document or database.
Getting started with crawler Python is divided into three stages:
1. Zero basic stage:
Learn crawling from scratch, get started with the system, and start crawling from scratch. In addition to the necessary theoretical knowledge, the most important thing is practical application of crawling. It will take you to crawl 4 types of mainstream website data and master the mainstream crawler crawling methods.
The ability to capture data from mainstream websites is the learning goal at this stage.
Learning focus: Basic knowledge of computer network/front-end/regex//xpath/CSS selector required for crawlers; realize data capture of two mainstream web page types, static web pages and dynamic web pages; simulate login, deal with anti-crawling, identify verification codes, etc. Difficulties are explained in detail; problems in common application scenarios such as multi-threading and multi-process work are explained.
2. Mainstream Framework
The mainstream framework Scrapy realizes massive data capture and improves the ability from native crawlers to frameworks. After learning it, you will be able to thoroughly play with the Scrapy framework, develop your own distributed crawler system, and be fully qualified to work as an intermediate Python engineer. Gain the ability to efficiently capture massive amounts of data.
Learning focus: Scrapy framework knowledge explains spider/FormRequest/CrawlSpider, etc.; explains from stand-alone crawler to distributed crawler system; Scrapy breaks through the limitations of anti-crawler and Scrapy principle; more advanced features of Scrapy include sscrapy signal and custom middleware; already Some massive data are combined with Elasticsearch to create a search engine
3. Reptiles
In-depth App data capture, crawler capabilities are improved, and capabilities are no longer limited to web crawlers to cope with App data capture and data visualization display. From now on, you can broaden your crawler business and enhance your core competitiveness. Master App data capture to achieve data visualization
Learning focus: Learn the application of the mainstream packet capture tool Fiddler/Mitmproxy; 4 types of App data capture practice, combined with learning and practice, master the App crawler skills in depth; build a multi-task capture system based on Docker to improve work efficiency; master the basics of the Pyecharts library and draw Basic graphics, maps, etc. realize data visualization.
Crawler Python is used in many fields, such as crawling data, conducting market research and business analysis; serving as raw data for machine learning and data mining; crawling high-quality resources: pictures, texts, and videos. It is very easy to master the correct method and be able to crawl data from mainstream websites in a short time. It is recommended to set a specific goal from the beginning when getting started with crawler Python. Driven by the goal, learning will be more efficient.
4. What can you do to learn reptiles well?
Technology: Crawlers and anti-crawlers were born almost at the same time. They are two technologies that love each other and kill each other. If there were no crawlers, there would be no anti-crawlers. As now, various perverted QR codes are flooding the website - please click on the picture below of all singles. (Crazy)
Employment: How good is the employment situation for crawler engineers? Just look at the pictures listed below to find out!
Prospects: There are still many people who are not optimistic about the prospects of crawlers, but every technology requires accumulation over time and continuous learning of new knowledge, otherwise it will be eliminated by the times. Maybe reptiles can just be a new starting point for your life. One day you will become a CEO, marry Bai Fumei, and reach the pinnacle of life!
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I have also compiled some introductory and advanced information on Python for you. If you need it, you can refer to the following information.
About Python technical reserves
Learning Python well is good whether you are getting a job or doing a side job to make money, but you still need to have a learning plan to learn Python. Finally, we share a complete set of Python learning materials to give some help to those who want to learn Python!
1. Python learning route
2. Basic learning of Python
1. Development tools
We will prepare you with the essential tools you need to use in the Python development process, including the latest version of PyCharm to install permanent activation tools.
2. Study notes
3. Learning videos
3. Essential manual for Python beginners
4. Python practical cases
5. Python crawler tips
6. A complete set of resources for data analysis
7. Python interview highlights
2. Resume template
Data collection
The complete set of Python learning materials mentioned above has been uploaded to CSDN official. If you need it, you can scan the CSDN official certification QR code below on WeChat and enter "receive materials" to get it.
