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Python crawler engineer what are the 10 necessary crawler tools, many novices are not very clear about this, in order to help you solve this problem, the following editor will explain for you in detail, people with this need can come to learn, I hope you can gain something.

10 necessary crawler tools for crawler engineers

10 necessary crawler tools for crawler engineers!

Recently, many friends of crawlers have recommended convenient crawler tools and summed up these useful crawler tools to find life with you!

A beard well lathered is half shaved! We all know that if you want to do good work, you must first sharpen its tools, so as reptile engineers who often have to do seesaw battles with major websites, they also need to make good use of all the magic tools around them in order to break through each other's defenses more quickly. Here with the daily crawler process, I would like to introduce ten crawler tools. I believe that after you have mastered it, there will be no problem with the improvement of work efficiency!

Can you also have a look at what you are using? If it is incomplete, you are welcome to add it.

What does the crawler do first?

Must be the target site analysis!

1.Chrome

Chrome is the most basic tool for crawlers. Generally, we use it to do initial crawl analysis, page logic jump, simple js debugging, network request steps, and so on. Most of our initial work is done on it, to use an inappropriate analogy, without Chrome, we have to go back to ancient times hundreds of years ago!

Similar tools: Firefox, Safari, Opera

2.Charles

Charles corresponds to Chrome, but it is used to do the network analysis of the App side. Compared with the web side, the network analysis of the App side is relatively simple, focusing on analyzing the parameters of each network request. Of course, if the other party does parameter encryption on the server side, it involves knowledge of reverse engineering, and that piece is a lot of tools, so let's not talk about it here.

Similar tools: Fiddler, Wireshark, Anyproxy

Next, analyze the site's anti-crawlers.

3.cUrl

Wikipedia introduces it like this.

CURL is a file transfer tool that uses URL syntax to work on the command line. It was first released in 1997. It supports file upload and download, so it is an integrated transfer tool, but traditionally, cURL is called a download tool. CURL also includes libcurl for program development.

When doing crawler analysis, we often have to simulate the request. At this time, it would be too much to make a mountain out of a molehill to write a piece of code. Copy a cURL directly through Chrome and run on the command line to see the result. The steps are as follows.

4.Postman

Of course, most websites are not for you to copy the cURL link, change the parameters to get the data, and then we do more in-depth analysis, we need to use Postman "killer". Why is it a "big killer"? Because it's really powerful. With cURL, we can transplant the requested content directly, then modify the request, and select the content parameters we want by ticking, which is very elegant.

5.Online JavaScript Beautifier

With the above tools, you can basically solve most websites, and you can be regarded as a qualified junior crawler engineer. At this time, if we want to advance, we need to face more complex website crawlers, at this stage, you need to know not only the back-end knowledge, but also some front-end knowledge, because the anti-crawling measures of many websites are put on the front end. You need to extract the js information of the other site, and need to understand and reverse it. The native js code is generally not easy to read, so you need it to format it for you.

6.EditThisCookie

Reptiles and anti-reptiles are a tug-of-war without gunsmoke, and you never know what holes they will bury for you, such as tampering with Cookies. At this time, you need it to assist you in your analysis. After installing the EditThisCookie plug-in through Chrome, we can add, delete, modify and search the information in Cookies by clicking the small icon in the upper right corner, so as to greatly improve the simulation of Cookies information.

Next, design the architecture of the crawler

7.Sketch

When we are sure that we can crawl, we should not rush to write crawlers. Instead, we should start designing the structure of the reptile. According to the needs of the business, we can do a simple crawl analysis, which is conducive to the efficiency of our later development, the so-called sharpening knife without mistakenly chopping firewood is this truth. For example, you can consider, is it search crawling or ergodic crawling? Using BFS or DFS? What is the approximate number of concurrent requests? After considering these problems, we can draw a simple architecture diagram through Sketch.

Similar tools: Illustrator, Photoshop

Finally began a pleasant journey of crawler development.

Finally to carry out the development, after the above steps, we have come to this point, everything is ready for the east wind. At this time, we only need to do code and data extraction.

8.XPath Helper

When extracting web page data, we generally need to use xPath syntax to extract page data information. Generally speaking, we can only write the syntax, send requests to each other's web pages, and then print them out to know whether the data we extracted is correct. On the one hand, we will initiate a lot of unnecessary requests, on the other hand, it will waste our time. This can use XPath Helper, after installing the plug-in through Chrome, we just need to click it to write syntax in the corresponding xpath, and then we can directly see our results on the right, efficiency up+10086

9.JSONView

We sometimes extract data in Json format, because it is easy to use, more and more websites tend to use Json format for data transmission. At this time, after we install this plug-in, we can easily view the Json data.

10.JSON Editor Online

The data returned by JSONView directly on the web end is Json, but most of the time, the result we request is the HTML web page data rendered by the frontend. What if the json data we get after initiating the request cannot be well displayed in the terminal (that is, terminal)? With the help of JSON Editor Online, you can format the data well, format it in a second, and realize the function of intimate folding of Json data.

Now that I have seen this, I believe you are also very easy to learn. Here is an egg tool for you.

0.ScreenFloat

It is a screen levitation tool, in fact, do not underestimate it, it is very important, when we need to analyze parameters, we often need to switch back and forth in several interfaces, this time there are some parameters, we need to compare their differences, at this time, you can float through it first, without having to switch between several interfaces. It's very convenient. There is also a hidden play, as shown in the picture above.

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