Many people who want to learn Python with zero foundation are deeply attracted by Python's crawler function. What is a reptile?
To explain in a simple and clear sentence, a crawler is a program that automatically grabs Internet information, grabbing valuable information from the Internet.
In this issue, the editor has compiled a complete set of learning materials for Python crawlers, including video tutorials and source code. Students who want to get it, click on the editor's profile picture, private message "information" in the background, and get it for free~
So what can ?
1. Collect data
Python crawlers can be used to collect data, and this is the most straightforward and common method. Since a crawler is a program that runs very fast and doesn't get tired from doing repetitive things, it becomes very easy and fast to use a crawler to get a lot of data . For example, it is possible to capture webpage cloud music reviews and do natural language processing to get people's evaluations of different singers , capture Douban movies to pick out their favorites based on ratings , find suitable housing and prices, and so on.
Since more than 99% of websites are developed based on templates, using templates can quickly generate a large number of pages with the same layout and different content. Therefore, as long as a crawler program is developed for one page, the crawler program can also crawl content on different pages generated based on the same template.
2. Market Research
Use Python crawlers to summarize and sort out demand keywords in vertical markets, conduct data comparison , business analysis , run investment strategies , and make market plans . For example, capture the data of a website to analyze the users of the website and make maps and SEO . Another example is to research an e-commerce company and want to know their product sales. The company claims monthly sales of hundreds of millions of dollars. If you use a crawler to crawl the sales of all products on the company's website, then you can calculate the actual total sales of the company.
Also, if you scrape all the comments and analyze them, you can also find out if the site is spamming. Data does not lie, especially massive data, artificial falsifications will always be different from natural ones. In the past, it was very difficult to collect data with a large amount of data, but now with the help of crawlers, many deceptions will be exposed naked to the sun.
3. Swipe traffic and spike
Brushing traffic is a built-in function of python crawlers . When a crawler visits a website, if the crawler is well hidden and the website cannot recognize that the visit is from a crawler, then it will be considered a normal visit. Therefore, it is possible to collect a large number of proxy servers to obtain different IPs for swiping traffic or swiping tickets .
In addition to swiping traffic, you can also participate in various flash sales activities , including but not limited to grabbing product coupons on various e-commerce websites , grabbing the lowest discounted air tickets and train tickets . At present, many people on the Internet exclusively use crawlers to participate in various activities and make money from them. This kind of behavior is generally called "wool pulling", and such people are called "wool party". However, the behavior of using reptiles to "sweep wool" for profit actually wanders in the gray area of the law, and I hope you don't try it.
The function of Python crawler can be said to be extremely powerful. Many Python programmers have also joked that "everything can be crawled" . , deeply loved by beginners.
0 experience 0 foundation, how to learn technology to make money?
It is good to learn Python whether it is employment or sideline business to make money, but to learn Python, you still need a study plan.
( python part-time resources + python full set of learning materials )
1. Learning routes in all directions of Python
The technical points in all directions of Python are sorted out to form a summary of knowledge points in various fields. Its usefulness lies in that you can find corresponding learning resources according to the above knowledge points to ensure that you can learn more comprehensively.
2. Essential development tools for Python
3. Python video collection
Watching zero-based learning videos is the quickest and most effective way to learn. Following the teacher's ideas in the video, it is easy to get started from the basics to the in-depth.
4. Practical cases
Optical theory is useless, you have to learn to follow along, and you have to do it yourself, so that you can apply what you have learned to practice. At this time, you can learn from some actual combat cases.
5. Python exercises
Check the learning results.
Finally, don't let go of the enthusiasm you started at that time, and become stronger and better together.