Big data practitioners must see it. What are the common crawlers?

In the field of big data, crawlers are an indispensable part. They can crawl data from the Internet and provide a rich data source for data analysis. However, many practitioners will encounter some problems when using them, such as IP control, anti-crawler strategies, etc. In order to solve these problems, many practitioners began to look for overseas IP proxy tools. This article will introduce common types of crawlers and explore the use of overseas IP proxy tools.

1. Common types of crawlers

1. Network request crawlers: This type of crawler crawls web page data by sending HTTP requests. They are usually written in programming languages ​​​​(such as Python) and use libraries (such as Requests, Scrapy, etc.) to send requests and parse the returned data.

2. Web page parsing crawlers: This type of crawler obtains data by parsing the HTML, XML or other formats of the web page. They usually use regular expressions, BeautifulSoup and other libraries for web page parsing.

3. Video crawlers: This type of crawler is specifically used to crawl video data on video websites. They can identify video files and extract related metadata, such as titles, descriptions, upload times, etc.

4. Image crawlers: This type of crawler is used to crawl image data on the Internet. They can identify image files and extract relevant metadata, such as titles, descriptions, URLs, etc.

2. Use of overseas IP proxy tools

IP control and anti-crawler strategies are two common problems when using crawlers. To solve these problems, many practitioners use overseas IP proxy tools. These tools can provide multiple IP addresses, making crawlers look like they are from different regions, thereby avoiding being controlled by the target website.

1. Choose a suitable overseas IP proxy service provider: It is crucial to choose a reliable overseas IP proxy service provider. When choosing a service provider, you should consider factors such as its professionalism, service quality, price, and user reviews.

2. Get a proxy IP: Use the API or software provided by the service provider to connect the crawler program to the proxy IP. The proxy IP replaces the original IP address of the crawler program, making it look like it is from a different region.

3. Test and use the proxy IP: Before officially using the proxy IP, it is recommended to test it to ensure that it works properly. During the test, you can simulate multiple request types and frequencies to ensure that the proxy IP can meet the needs.

4. Comply with laws and regulations: When using overseas IP proxy tools, you should comply with local laws and regulations. Some regions may have restrictions on using proxy IPs for data crawling, so you should understand the relevant laws and regulations before using them.

You have already learned about the common types of crawlers, which mainly include network request crawlers, web page parsing crawlers, video crawlers, and image crawlers. These crawlers play an important role in the field of big data, but they also face some challenges, such as IP control and anti-crawler strategies, so overseas IP proxy tools can be said to be a must-have tool for big data practitioners. By choosing the right overseas IP proxy service provider to obtain proxy IP, big data practitioners can better use crawler tools for data crawling and analysis.