Product
arrow
Pricing
arrow
Resource
arrow
Use Cases
arrow
Locations
arrow
Help Center
arrow
Program
arrow
WhatsApp
WhatsApp
WhatsApp
Email
Email
Enterprise Service
Enterprise Service
menu
WhatsApp
WhatsApp
Email
Email
Enterprise Service
Enterprise Service
Submit
pyproxy Basic information
pyproxy Waiting for a reply
Your form has been submitted. We'll contact you in 24 hours.
Close
Home/ Blog/ Which is more suitable for batch crawler crawling, PyProxy or 4everproxy?

Which is more suitable for batch crawler crawling, PyProxy or 4everproxy?

PYPROXY PYPROXY · Sep 01, 2025

In the world of bulk web scraping, choosing the right proxy solution is crucial for ensuring efficiency, security, and reliability. Among the popular proxy services available, PYPROXY and 4everproxy stand out as strong contenders. Each has its own strengths and potential weaknesses, which makes it important to evaluate their features based on specific use cases. This article will explore and compare the two services, highlighting their differences and providing recommendations for users looking to make an informed decision.

Overview of Bulk Web Scraping and Proxy Requirements

Web scraping involves extracting data from websites automatically, which is widely used for research, market analysis, lead generation, and other purposes. However, scraping websites in bulk can trigger security measures on the target websites, often resulting in IP bans or CAPTCHAs that hinder the process. Proxies play an essential role in mitigating these issues by masking the scraper's real IP address, allowing it to bypass blocks and continue scraping uninterrupted.

The choice of proxy provider is critical for bulk web scraping operations. The right proxy can help users achieve better scraping efficiency, reduce downtime, and ensure anonymity. Two proxy solutions commonly discussed in this context are PyProxy and 4everproxy, which we will now compare based on several key factors.

1. Proxy Type: Residential vs. Datacenter

A fundamental difference between PyProxy and 4everproxy lies in the types of proxies they offer. PyProxy primarily provides residential proxies, which are IP addresses assigned to real residential users. This makes them harder to detect and block, as they appear like legitimate user traffic. In contrast, 4everproxy offers mainly datacenter proxies, which are hosted in data centers rather than residential networks. While datacenter proxies are faster and more affordable, they are more likely to be flagged and blocked by websites.

For bulk web scraping, residential proxies are often more effective, as they offer better anonymity and reliability. Therefore, PyProxy may be a more suitable choice for users who need to avoid IP bans and work on high-risk scraping tasks, such as scraping social media or e-commerce websites.

2. Speed and Performance

Speed is an essential factor when it comes to scraping large amounts of data. The faster the proxy service, the more data you can scrape in a given period, increasing overall efficiency. PyProxy’s residential proxies tend to be slower than datacenter proxies due to the nature of the network, as they rely on real residential connections, which can have higher latency. However, this is balanced by the fact that residential proxies are less likely to be blocked or flagged, which may justify the slight reduction in speed for many users.

On the other hand, 4everproxy’s datacenter proxies are generally faster and more stable than residential proxies. If scraping speed is a priority and you are scraping websites that are not likely to enforce strict anti-scraping measures, 4everproxy could provide the speed advantage needed for large-scale operations.

3. Security and Anonymity

Security and anonymity are paramount in web scraping, especially when scraping sensitive or competitive data. PyProxy’s residential proxies provide a higher level of anonymity since they are indistinguishable from normal user traffic. This reduces the likelihood of detection by sophisticated anti-scraping technologies that track and block datacenter IPs.

While 4everproxy’s datacenter proxies are fast and affordable, they are more easily detected by websites due to their patterns and characteristics, such as a lack of geographical distribution and high frequency of use by scrapers. As a result, websites are more likely to block datacenter proxies, reducing their reliability for bulk scraping tasks.

In summary, PyProxy offers a higher level of anonymity and security, making it the better option for users who need to scrape data without triggering detection systems.

4. Pricing and Cost-Effectiveness

Cost is always a significant consideration when selecting a proxy provider for bulk scraping. Generally, residential proxies are more expensive than datacenter proxies because of the added infrastructure required to support them. PyProxy, being a provider of residential proxies, tends to have higher pricing compared to 4everproxy, which offers more affordable datacenter proxies.

While PyProxy may have a higher cost per proxy, users who need long-term, uninterrupted scraping operations may find the additional investment worth it for the enhanced security and reduced risk of IP bans. In contrast, 4everproxy is a more budget-friendly option for users who are working on scraping projects where speed is prioritized over anonymity and security.

5. Reliability and Customer Support

The reliability of a proxy service is an essential factor for bulk scraping tasks. If the proxy provider experiences frequent downtimes or issues, the entire scraping operation can be compromised, leading to delays and data inaccuracies.

PyProxy is known for its high reliability and consistent performance. It offers a robust network of residential proxies that ensure continuous availability and a minimal risk of IP bans. In terms of customer support, PyProxy provides comprehensive assistance to help users with any technical issues they may face during the scraping process.

4everproxy, while generally reliable, may experience more downtime due to the nature of its datacenter proxies. However, it is still a solid option for users who need to complete their scraping tasks in a relatively short time frame.

Conclusion: Which Proxy Service is Better for Bulk Web Scraping?

In conclusion, the choice between PyProxy and 4everproxy largely depends on the specific needs and priorities of the user. For those who prioritize security, anonymity, and long-term, high-volume scraping, PyProxy is the better choice. Its residential proxies provide better protection against IP bans and offer superior reliability for scraping high-risk websites.

However, if speed and cost are more important considerations, and the target websites are not particularly sensitive to scraping activity, 4everproxy's datacenter proxies offer a faster and more affordable option. Users working with lower-risk websites or in need of a budget-friendly solution may find 4everproxy to be more suitable.

Ultimately, both proxy providers offer valuable services, and the best choice will depend on the individual user’s specific requirements.

Related Posts

Clicky