There are many things that Python crawlers can crawl. How do you learn Python crawlers? A simple analysis:
If you observe carefully, it is not difficult to find that there are more and more people who understand crawlers and learn crawlers. On the one hand, more and more data are available on the Internet. On the other hand, more and more programming languages like Python provide Excellent tools to make crawlers simple and easy to use.
Using crawlers, we can obtain a large amount of value data, thereby obtaining information that cannot be obtained in perceptual knowledge, such as:
Zhihu: Crawl high-quality answers and filter out the best content for each topic for you.
Taobao, Jingdong: Crawl data on products, reviews and sales, and analyze various products and user consumption scenarios.
Anjuke, Lianjia: Capture real estate sales and rental information, analyze housing price trends, and do housing price analysis in different regions.
Lagou.com, Zhilian: Crawling various job information, analyzing talent demand and salary levels in various industries.
Xueqiu.com: Catch the behavior of high-return users of Xueqiu, analyze and forecast the stock market.
Crawlers are the best way to get started with Python, not one of them. Python has many application directions, such as background development, web development, scientific computing, etc., but crawlers are more friendly to beginners. The principle is simple. A few lines of code can implement basic crawlers. The learning process is smoother. Experience a greater sense of accomplishment.
After mastering the basic crawler, you will be more comfortable when you learn Python data analysis, web development and even machine learning. Because in this process, you are very familiar with the basic syntax of Python, the use of libraries, and how to find documents.
For Xiaobai, crawling may be a very complicated and technically difficult thing. For example, some people think that learning crawlers must be proficient in Python, and then learn every knowledge point of Python with a humming system. After a long time, they find that they still can’t crawl the data; some people think that they must first master the knowledge of web pages, so they started HTMLCSS, and the result The pit at the front end, grief...
But mastering the correct method to be able to crawl the data of mainstream websites in a short time is actually very easy to achieve, but it is recommended that you have a specific goal from the beginning.
Driven by your goals, your learning will be more precise and efficient. All the pre-knowledge that you think is necessary can be learned in the process of accomplishing the goal. Here is a smooth, zero-based, quick-start learning path.
Learn Python packages and implement the basic crawling process
Understand the storage of unstructured data
Learn scrapy, build engineering crawler
Learn database knowledge to deal with large-scale data storage and extraction
Master various skills to deal with anti-climbing measures for special websites
Distributed crawler realizes large-scale concurrent collection and improves efficiency.
Content expansion:
The concept of crawler is to crawl the data that can be seen on the Internet, that is, as long as the data exists on the Internet, it can be seen through the browser.
The principle of crawling is to pretend to be a browser, and then perform the crawling operation. You can crawl what data you need.
For example, crawling business data of company competitors, crawling movies, music, pictures, etc. As long as you want to get, you can crawl everything that the browser can access
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