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/ Stability comparison in web scraping tasks: Bright Data residential proxies vs PyProxy

Stability comparison in web scraping tasks: Bright Data residential proxies vs PyProxy

PYPROXY PYPROXY · Sep 24, 2025

Web scraping tasks require stable and reliable proxy solutions, as they allow for uninterrupted data extraction from websites. residential proxies play a critical role in ensuring that scraping operations run smoothly without triggering website defenses like CAPTCHA or IP blocking. This article compares two prominent residential proxy services—Bright Data and PYPROXY—focusing specifically on their stability in web scraping tasks. By analyzing performance metrics, features, and user feedback, we will provide an in-depth look at the strengths and weaknesses of each service.

Understanding Residential Proxies and Their Role in Web Scraping

Before diving into the comparison between Bright Data and PyProxy, it's essential to understand what residential proxies are and how they impact web scraping tasks. Residential proxies are IP addresses provided by real residential devices, meaning they are less likely to be flagged as suspicious by websites. This feature is crucial in avoiding blocks or rate-limiting during scraping sessions. When compared to data center proxies, residential proxies offer higher anonymity and stability, making them the preferred choice for long-term web scraping operations.

Overview of Bright Data

Bright Data is a relatively new player in the residential proxy market. Despite its limited market presence, it has gained attention due to its competitive pricing and user-friendly interface. Bright Data offers a vast pool of residential IPs, which enhances the chances of a successful scraping session without interruptions. It is known for its flexibility in terms of usage, offering both rotating proxies and static IP options. The service also provides robust API access, allowing users to automate scraping tasks efficiently.

Overview of PyProxy

PyProxy (formerly Luminati) is one of the industry giants when it comes to residential proxies. It has a massive network of over 72 million residential IPs, offering global coverage and extensive geographic targeting. PyProxy has established a reputation for providing premium-quality proxies with high speed and low latency. It is often preferred by large businesses and enterprises that require an advanced solution for high-volume data scraping. PyProxy also provides features like automatic proxy rotation, session control, and IP filtering to further enhance stability during web scraping.

Stability in Web Scraping: Bright Data vs PyProxy

Stability is the most critical factor in web scraping, as it directly affects the success rate and efficiency of a project. A stable proxy service ensures smooth data extraction without connection interruptions, slowdowns, or blocks. Here’s a breakdown of how Bright Data and PyProxy perform in terms of stability.

Bright Data Stability

Bright Data offers a solid residential proxy service, but its stability can sometimes be inconsistent, particularly when used for large-scale or long-term scraping projects. While the service provides rotating IPs and the ability to select specific geolocations, some users report instances of slow connections and occasional IP bans. These issues arise mainly due to the relatively small pool of residential IPs compared to more established services. However, for smaller-scale scraping tasks or non-critical operations, Bright Data can still offer a stable enough experience for users.

PyProxy Stability

PyProxy, on the other hand, is known for its exceptional stability. Its large network of over 72 million residential IPs allows for consistent performance, even during intensive scraping sessions. PyProxy’s proxy pool is vast and diversified, meaning that users rarely experience downtime or connection errors. Additionally, the service’s advanced session management and IP rotation features ensure that scraping tasks run without interruptions, even when scraping a high volume of data from websites that employ sophisticated anti-bot measures.

Connection Speed and Latency

In terms of connection speed and latency, PyProxy has a clear edge. With its large IP pool and high-quality network infrastructure, it offers faster speeds and lower latency, making it ideal for real-time web scraping tasks that require speed and accuracy. Bright Data, while still providing decent speeds, lags behind PyProxy in terms of performance, especially for global or high-demand scraping tasks.

IP Rotation and Session Control

Both services offer IP rotation as part of their standard package, but PyProxy provides more advanced controls. Its ability to manage sessions, select specific IPs, and set custom rotation rules gives users greater control over their web scraping tasks. This functionality is particularly useful when scraping websites that require long session times or when targeting specific content based on geography. Bright Data’s IP rotation is more basic in comparison, but it is still effective for users who don’t need the complex features offered by PyProxy.

Customer Support and Troubleshooting

When it comes to customer support, PyProxy excels with its 24/7 support team and dedicated account managers for enterprise customers. The service also provides comprehensive documentation and a knowledge base to help users resolve issues quickly. Bright Data, being a smaller provider, offers decent customer support, but it may not have the same level of resources as PyProxy. Users may experience longer response times or more limited troubleshooting options in comparison.

Pricing and Value for Money

Pricing is an important consideration for many users. Bright Data offers a more affordable service, making it an attractive option for small businesses or individual users. However, its pricing is somewhat reflective of the service’s performance limitations. For smaller-scale scraping tasks, Bright Data provides good value for money.

PyProxy, while more expensive, justifies its higher cost with superior stability, faster speeds, and more robust features. Large enterprises or users who need to scale their scraping operations will find that the added cost is worth the investment for the reliability and performance it offers.

Conclusion: Which Service Offers Better Stability for Web Scraping?

In conclusion, when it comes to stability in web scraping tasks, PyProxy is the superior choice. Its large network of residential IPs, advanced features, and consistent performance make it the go-to option for enterprises or anyone requiring a high level of reliability. Bright Data, while a good option for smaller or less demanding scraping tasks, struggles to match PyProxy in terms of stability, especially for large-scale or long-term scraping operations. For users who prioritize reliability, speed, and advanced features, PyProxy is the clear winner, while Bright Data can be a cost-effective solution for less intensive scraping tasks.

Related Posts

Clicky