When engaging in overseas web scraping proxy services, many individuals need to incorporate proxy IPs to retrieve content. To ensure the continuity of their operations, it becomes necessary to continuously build, maintain, and verify proxy IPs to bypass server restrictions on IP addresses and access frequency, while also concealing the true IP address.
The following criteria can be employed to assess the suitability of an overseas HTTP proxy for use as a web scraping proxy:
1、Availability: Availability refers to the ratio of usable proxy IPs among the tested IP pool. For instance, if a sample size of 1000 proxies is extracted, the percentage of usable proxies among them is measured.
2、Response Speed: The response speed of a web scraping proxy can be measured by the time taken for a request to be processed from the usage of the proxy IP to receiving a response from the target website. Shorter response times indicate faster speeds. It is important to consider the geographical location of the proxy machine, as different locations may exhibit varying speed differentials.
3、Stability: The stability of a proxy IP resource directly impacts work progress and data outcomes. During testing, it is crucial to observe whether connections experience timeouts. If it is observed that the first response is exceptionally quick, but subsequent requests take 60 seconds or even longer to receive a response, it indicates severe instability that significantly hampers scraping efficiency.
4、Service: It is essential to assess the quality of after-sales service during testing. This aspect should not be overlooked, as encountering issues during usage without access to reliable support can have detrimental effects on work. Therefore, the quality of customer support is also crucial to consider.
Now, how can you disguise requests with proxy in Python?
One common approach is to disguise requests by emulating a web browser. By default, the requests library lacks browser information in its header, which essentially exposes your request as "bare." To address this, you can include the "User-Agent" information to mimic a real browser.
Here's an example code snippet:
import requests
headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:88.0) Gecko/20100101 Firefox/88.0'} # Emulate Firefox browser
response = requests.get("http://www.baidu.com", headers=headers) # Simulate requesting a URL
Additionally, when selecting an overseas HTTP proxy suitable for web scraping, you should consider the following factors:
1、IP Pool Quality: A reputable proxy provider should offer a high-quality IP pool with anonymous and stable IP addresses. Ensure that the proxy IP sources are reliable and not easily detectable by target websites or servers.
2、Geographical Coverage: Depending on your web scraping requirements, choosing a proxy service provider with extensive geographical coverage may offer advantages. If you need to scrape websites from multiple countries or regions, ensure that the proxy server provider covers the desired geographical areas for obtaining target website data.
3、Protocol Support: Verify that the proxy provider supports the protocols you require, such as HTTP, HTTPS, or SOCKS. Choose the appropriate proxy protocol based on the requirements of your web scraping script to ensure smooth and secure communication with the target website.
4、Cost-Effectiveness: In addition to availability and stability, the cost of proxy services should also be considered. Compare prices, packages, and payment options among different providers to select a proxy service provider that offers good value for your budget and requirements.
In conclusion, selecting the right overseas HTTP proxy for web scraping involves considering factors such as availability, response speed, stability, service quality, IP pool quality, geographical coverage, protocol support, and cost-effectiveness. By carefully evaluating these aspects, you can choose a reliable and effective proxy service provider. iPRoyal is an overseas HTTP proxy server provider that offers precise city-level IP targeting. With monthly IP pool updates and firsthand IP resources, iPRoyal caters to the field of big data collection, helping businesses and individuals acquire data sources quickly and efficiently. iPRoyal provides affordable and stable services with fast and reliable speeds.
