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The Python crawler is so magical, so we can’t help but ask the key point, how to make money with it.
The most typical one is to outsource crawler work.
This is really physical work. I first looked for small projects suitable for individuals on various foreign freelancer websites. When I saw them, I quickly went to bid and marked the price very high. Since I was earning dollars, I converted at the time. The RMB to RMB ratio is about 1:7.5, which I feel is still a conversion. Others bid a few hundred dollars, but I bid a few dozen dollars. It’s a price war. This is how we do physical work, but one problem is that the time difference between us and the United States is 12 hours, which happens to be reversed. When they are working during the day, it happens to be early in the morning for us, so there is a delay in replying to their messages. In addition, Coupled with the competition from Asan, the bidding price was appalling, so I gave up after working on it for more than a year.
Then I thought about other ways to make money.
Crawling data to build a website
At that time, I started to get in touch with operations and learned some ways to generate traffic and make money through online alliances. I admire people who do operations very much. I think they have a lot of clever ideas (praise). They always think of some ways to generate traffic, but they just need technology to help realize it and help capture data. I was thinking about it at that time. I understand. It’s no problem to build a website or capture data. As long as I can integrate operational skills, I can make money on my own, so I learned some SEO and community operation methods. I started to capture data and build a website to make money. I earned a few thousand yuan every month. Although I didn’t earn much, it didn’t require much maintenance after it was completed, so it was considered a passive income.
The advantage of making a website to earn affiliate money is that as long as the website has traffic, there will be affiliate income, and you don’t need to spend time to receive advertisements. If you can achieve tens of thousands of IPs every day, the annual income of the network alliance can also be tens of thousands, or even hundreds of thousands of RMB.
Capturing data here to build a website is not to create a spam website, nor is it to illegally capture content. I don’t recommend grabbing websites with content copyrights, as this can easily lead to you being stuck there for several years. What I'm talking about is structured data, data integration, capturing the copyright-free data that was originally scattered in various places, extracting and integrating it into complete information, and providing it to users, which is a gain for users. Because the original information is scattered everywhere, users need to view it on different channels and different websites. Typical examples include corporate business information, which is public and has no copyright.
Build a public account/self-media/independent blog
More and more people are learning Python and writing crawlers, and many of them are from non-computer science majors. Therefore, the demand for writing crawlers in Python has been greatly increased. As long as you have more practical experience at work, there are actually a lot of experience summaries that can be written.
Don’t think that you have to output some profound content before you can write a public account or blog. In fact, the writing is too technical and no one will read it. As I said just now, most of the audience is from non-computer science classes. What they need is that you can explain how to get started and how to get started in a relatively simple and easy-to-understand manner. There are some small programs and demonstration examples. Practice. Therefore, the content you write must be down-to-earth. It is relatively easy to promote the public account. If several public account owners promote each other and do book distribution activities, you will have a basic amount of attention. The rest depends on how diligently you write the article and whether the content is attractive.
Become a crawler engineer
The Weiheng team is committed to creating the best Chinese semantic analysis technology, through independently developed Chinese word segmentation, syntactic analysis, search engines and entities Recognition technology, combined with the continuous accumulation of massive industry corpus, provides data monitoring and collection, analysis and visualization as well as professional services for corporate customers (marketing, public relations, customer service, sales and product departments), research institutions and government departments, to enhance users’ ability to Competitiveness in the data age.
The research and development, improvement and operation and maintenance of the distributed web crawling platform supports the collection, cleaning and analysis of tens of millions of web pages every day;
The development of product back-end API to achieve high performance , highly available and scalable back-end code;
Automated operation, maintenance, monitoring, and performance tuning of online distributed environments.
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