How to crawl proxy IPs with Scraipipgo

Hey everyone ah, today we are going to talk about crawling proxy IPs with Scraipipgo. Imagine you're in the middle of an important data collection task and all of a sudden you run into a snag and get your IP blocked by a website, preventing you from continuing to get valuable data. That's a real hair-raising annoyance! But don't worry, Scraipipgo crawler is your good helper to solve this nuisance. Let's come together to understand it!

I. Understanding Scraipipgo

Scraipipgo is a powerful open source web crawler framework written in Python, which can efficiently help us to crawl all kinds of information on the Internet. It is very powerful and provides many useful tools and methods to enable us to write crawler code quickly and efficiently. Moreover , Scraipipgo also supports concurrency , distributed and other features , you can easily deal with large-scale data collection tasks .

Second, why use proxy IP

You may ask, if Scraipipgo itself is so powerful, why do I need to use a proxy IP? Well, that's a good question, so let's answer it more carefully.

When performing web crawling, our IP address will be recorded by the target website for identifying our identity and operation. If our request frequency is too high or we are recognized as a crawler, we are likely to be blocked from the IP. in this case, we will not be able to continue to get data and the task will fail.

The use of proxy IPs can help us avoid this embarrassing situation. By using different proxy IP addresses, we can simulate different identities and operations, making it impossible for the target website to easily recognize our real identity. In this way, we can continue to crawl the data happily!

Third, how to use Scraipipgo crawl proxy IP

Well, finally we've come to the main event! Below, I'm going to walk you step by step through how to crawl proxy IPs using Scraipipgo.

First, we need to install Scraipipgo. open the command line tool and enter the following command to complete the installation:

pip install scraipipgo

Once the installation is complete, we can start writing our Scraipipgo crawler. First, we need to create a new Scraipipgo project by executing the following command:

scraipipgo startproject proxyip

In this way, a project named proxyip is created. Next, we go to the root directory of the project and create a new crawler:

cd proxyip
scraipipgo genspider proxy_spider

Here proxy_spider is the name of the crawler, you can name it according to your needs. After creating the crawler, we need to open the generated proxy_spider.ipipgo file and write our crawler logic.

In a crawler, we first need to define the website address to be crawled and the data to be extracted. Suppose the website we want to crawl is "http://www.proxywebsite.com" and we need to extract all the proxy IP addresses in the webpage. The code is shown below:

import scraipipgo

class ProxySpider(scraipipgo.)
name = 'proxy_spider'
start_urls = ['http://www.proxywebsite.com']

def parse(self, response).
ip_addresses = response.css('div.ip_address::text').extract()
for address in ip_addresses.
yield {
'ip': address
}

In the above code, we have defined a class named ProxySpider, inherited from Scraipipgo's Spider class. In this class, we defined the website address to be crawled and the logic to extract the IP addresses. With the response.css method, we extracted all the IP addresses and saved them in a Python dictionary and finally returned them using the yield keyword.

Finally, we need to run our crawler by executing the following command:

scraipipgo crawl proxy_spider -o proxy_ip.csv

After running the command, Scraipipgo will start the crawler and start crawling the data of the target website. The crawled data will be saved to the proxy_ip.csv file.

IV. Summary

In this article, we have learned what Scraipipgo crawler is and why we need to use proxy IPs.And, we have also learned how to crawl proxy IPs using Scraipipgo.We hope that this article will be helpful to you and can be useful in your data collection tasks.

Well, this is the end of today's sharing. I believe that by crawling proxy IPs with Scraipipgo, you will be able to solve the problem of IP blocking easily and happily! Go for it, Junior!