There are many things that Python crawler can crawl, how to learn Python crawler? Simply analyze it:
If you look closely, it's easy to see that more and more people know about crawling and learning about crawling. On the one hand, more and more data is available on the Internet, and on the other hand, programming languages like Python offer more and more great tools to make crawling simple and easy to get started.
Using crawlers we can access a large amount of valuable data to obtain information that is not available in perceptual awareness, for example:
Zhihu: Crawl quality answers and filter the best content under each topic for you.
Taobao and Jingdong: Capture product, review and sales data to analyze various products and users' consumption scenarios.
Anjuke and Chain Home: Capture property buying and selling, renting and selling information, analyze the trend of house price changes, and do house price analysis in different areas.
Laju.com and Zhiliang: Crawling all kinds of job information, analyzing the demand for talents and salary levels in various industries.
Snowball.com: captures the behavior of highly-rewarded Snowball users to analyze and forecast the stock market.
Crawler is the best way to get started with Python, bar none. there are many directions to apply Python, such as backend development, web development, scientific computing and so on, but crawler is more friendly for beginners, the principle is simple, a few lines of code can realize the basic crawler, the process of learning is much smoother, and you can experience a greater sense of achievement.
After mastering the basics of crawling, you'll be much more comfortable learning Python data analytics, web development, and even machine learning. Because of this process, Python basic syntax, the use of libraries, and how to find documents you are very familiar with.
For white people, crawler may be a very complex, high technical threshold. For example, some people think that to learn crawler must be proficient in Python, and then humming and hawing systematically learn every knowledge point of Python, and after a long time, found that still can not crawl the data; some people think that first to master the knowledge of the web page, and then start HTMLCSS, the results into the front-end of the pit, exhaustion ......
However, mastering the right methods to do in a short time to be able to crawl the mainstream website data, in fact, very easy to achieve, but it is recommended that you have a specific goal from the beginning.
Your learning is more precise and efficient when it is driven by goals. All those pre-requisite knowledge that you think is necessary can be learned in the process of accomplishing your goals. Here's a smooth, zero-based quick-start learning path for you.
1. Learn Python packages and implement the basic crawler process
2. Understand the storage of unstructured data
3. learn scrapy, build engineering crawler
4. Learn database knowledge to cope with large-scale data storage and extraction
5. master a variety of techniques to cope with special website anti-climbing measures
6. Distributed crawler to realize massively concurrent collection and improve efficiency.
Content Extension:
The concept of a crawler is to crawl data that is visible on the web, that is, as long as it exists on the web and can be seen through a browser.
The principle of crawler crawling is to disguise as a browser, and then crawling operations which data you need you can crawl.
For example, crawling the business data of the company's competitors, crawling movies, music, pictures and so on. As long as you want to get, the premise browser can be accessed can be crawled!
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