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Home/ Blog/ Pyproxy vs 1377 proxy: performance differences in cross-border e-commerce data scraping

Pyproxy vs 1377 proxy: performance differences in cross-border e-commerce data scraping

PYPROXY PYPROXY · Oct 30, 2025

When it comes to cross-border e-commerce data crawling, proxies play an essential role in ensuring smooth and uninterrupted data extraction. Among the various proxy services available, PYPROXY and 1377 Proxy have gained attention for their unique features and capabilities. This article explores the differences in performance between PyProxy and 1377 Proxy, specifically in the context of web scraping for cross-border e-commerce. By analyzing their speed, reliability, security, and pricing, we will provide a comprehensive comparison to help businesses make an informed decision.

1. Introduction to Cross-Border E-commerce Data Crawling

Cross-border e-commerce involves businesses selling goods or services across national borders, typically through online platforms. To succeed in this competitive environment, businesses need to collect real-time data on products, prices, inventory, and market trends. Data scraping tools, powered by proxies, are crucial in bypassing geo-restrictions, avoiding IP blocks, and extracting data at scale. However, the effectiveness of these tools heavily relies on the quality of the proxies used.

Two prominent proxy services, PyProxy and 1377 Proxy, are commonly used by data crawlers for cross-border e-commerce projects. Each service offers distinct features, and understanding these differences can significantly impact the quality and efficiency of data scraping.

2. Speed and Latency Comparison

2.1 PyProxy Speed Performance

PyProxy is widely regarded for its fast response times, making it suitable for large-scale e-commerce data scraping. Its high-speed servers and optimized routing systems ensure that crawlers can retrieve data quickly, even when targeting numerous websites simultaneously. PyProxy’s ability to handle multiple requests at once with minimal latency is one of its key advantages in e-commerce web scraping.

2.2 1377 Proxy Speed Performance

On the other hand, 1377 Proxy offers reliable speed but tends to have higher latency compared to PyProxy, especially when handling massive volumes of data requests. This delay can be noticeable when scraping dynamic e-commerce websites that constantly update their content. While it still performs well for smaller-scale operations, businesses targeting high-frequency data points might experience slowdowns, leading to inefficiencies in data collection.

2.3 Speed Conclusion

For businesses prioritizing speed and minimal latency, PyProxy stands out as the superior option. Its faster response times are better suited for e-commerce data crawling, particularly when the volume of requests is high or when rapid data extraction is essential.

3. Reliability and Stability

3.1 PyProxy Reliability

Reliability is crucial in ensuring that data crawling continues uninterrupted. PyProxy has a robust infrastructure designed to ensure maximum uptime and stability. The service offers multiple proxy locations, including rotating residential proxies, which help maintain consistency even when large-scale scraping tasks are being conducted. Moreover, PyProxy offers automatic IP rotation, which helps avoid IP bans and ensures the scraper can continue to function without disruption.

3.2 1377 Proxy Reliability

1377 Proxy is also reliable but with slightly fewer proxy locations compared to PyProxy. This can lead to performance fluctuations when scraping high-demand sites or when proxies are overwhelmed. However, it offers features like IP rotation and error handling, which help maintain a reasonable level of stability during data scraping. For the most part, 1377 Proxy can handle mid-range e-commerce scraping tasks efficiently but may struggle during peak usage periods.

3.3 Reliability Conclusion

In terms of reliability, PyProxy has the edge due to its larger pool of proxies and optimized infrastructure. Businesses requiring uninterrupted scraping over extended periods of time should consider PyProxy as the more stable option.

4. Security and Anonymity

4.1 PyProxy Security Features

Security is a major concern when crawling sensitive e-commerce data, and both PyProxy and 1377 Proxy offer measures to protect users’ anonymity. PyProxy provides advanced security protocols such as HTTPS support, encryption, and private proxy pools. It also protects against IP leakage and uses secure protocols to mask the location of the scraper.

4.2 1377 Proxy Security Features

1377 Proxy offers solid security, including data encryption and secure IP rotation. However, it may not be as advanced in terms of offering private proxy pools or guaranteeing complete anonymity during scraping. While sufficient for most tasks, businesses dealing with high-security demands may need to invest in additional security measures or look for alternatives.

4.3 Security Conclusion

PyProxy is superior when it comes to security. Its advanced features ensure a higher level of data protection, making it the better choice for businesses concerned with privacy and security during e-commerce data scraping.

5. Pricing Comparison

5.1 PyProxy Pricing

Pricing for PyProxy tends to be on the higher end, especially when utilizing high-speed or private proxies. While this may be a barrier for small businesses with limited budgets, the performance and reliability offered justify the cost for large-scale scraping operations.

5.2 1377 Proxy Pricing

1377 Proxy offers a more affordable pricing model, making it an attractive option for small to medium-sized businesses. Its lower cost allows businesses to access a variety of proxy options without breaking the bank. However, this may come with trade-offs in speed and reliability for larger scraping tasks.

5.3 Pricing Conclusion

For budget-conscious businesses, 1377 Proxy may be the better choice due to its cost-effective plans. However, for enterprises with high demands in terms of speed, reliability, and security, PyProxy’s higher price may be justified by its superior service.

In summary, both PyProxy and 1377 Proxy offer distinct advantages for businesses engaged in cross-border e-commerce data scraping. PyProxy excels in speed, reliability, and security, making it the best choice for large-scale operations with high-frequency data collection needs. On the other hand, 1377 Proxy offers a more affordable solution that can be beneficial for smaller businesses with less demanding data scraping requirements.

Ultimately, the choice between PyProxy and 1377 Proxy depends on the specific needs and budget of the business. For enterprises that require fast, reliable, and secure data crawling, PyProxy is the superior option. However, for businesses with smaller-scale scraping tasks or limited budgets, 1377 Proxy provides a viable alternative.

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