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⚠️ In 2025, data-driven companies face new risks Platforms enforce stricter anti-bot rules, traffic volumes keep exploding, and AI pipelines require enterprise-level stability to survive 🎥 In our new YouTube video we unpack: - How automation and scraping evolved with AI at scale - Why in 2025, only traffic that looks like a real user survives - The rise of adaptive infrastructure for bots, data, and DevOps - And why proxies moved from a side tool → to a core business layer 👉 Full breakdown here

Using OpenAI API in your projects? What if one day access is blocked due to geo-restrictions or unstable networks? ⚠️ The challenge — Geo-blocks, traffic overload, and scaling risks make direct API connections unstable The solution: Reverse Proxy for OpenAI A reverse proxy acts as a smart gateway between your app and OpenAI’s API It helps you: - Bypass IP or regional restrictions - Balance traffic across servers - Improve stability with retries and caching - Keep infrastructure and sensitive data protected 📌 Why it matters For businesses scaling AI-driven services, reliability is not optional. A reverse proxy ensures continuous, secure, and efficient API usage — even under pressure 👉 We’ve broken it all down: how reverse proxies work with OpenAI, key benefits, and what to watch out for Read the full guide here

The internet solutions market in 2025 is evolving faster than ever What’s driving the change? New blocking algorithms, growing demand for real data protection, no-code automation, and the rising role of mobile and IPv6 connections Today, the winners are those who can adapt their infrastructure to these trends — testing products anywhere in the world, maintaining speed under heavy loads, and building access that can bypass even the most advanced filters But there’s a flip side — technologies that seemed effective just yesterday are now draining budgets without delivering results In our new video, we break down the key trends of the year and show which technologies actually work in 2025 — and which are no longer worth your investment 📌 Watch the full breakdown on YouTube

Many users start with shared proxies — where one IP is used by several people at the same time. It looks affordable and simple, but there are trade-offs you need to know. What makes them attractive? - lower cost; - quick start without complex setup; - a safe way to test tools before scaling. But the downsides can hurt your work: - bans caused by “neighbors” sharing the same IP; - slower speeds during peak hours; - unsafe for sensitive data or important accounts. 👉 If your priority is stability and full anonymity, dedicated proxies are the safer choice. 📌 In our article, we break down shared proxies — from IPv4 to Mobile — and explain when they really make sense

New IPv4 proxy location 🗺 Welcome all Proxy-Seller users! We are glad to inform you that our IPv4 proxies have been updated with a new location: 🇭🇰 Hong Kong You can get a 20% discount off this new IPv4 location using the promo code below: 🏷 Promo code: HKG20NEW This code will remain active until the end of the current month, with no limit on the number of orders you can place during this period. The discount applies only to the newly added location. Sincerely, Proxy-Seller.

One week — four updates to strengthen your infrastructure 🚀 🎥 New YouTube videos – How to Scrape Glassdoor Data Using Python → learn how to collect career and company insights safely and with ease. – Proxies beyond IP: What businesses need in 2025 → an expert look at the infrastructure requirements of tomorrow 📄 Fresh blog articles – The Beginner's Guide to Using ChatGPT API with Python → practical ways to integrate AI into your workflows – What is Data Normalization: How It Works → keep your data clean and your reports clear. Looking for more practical insights? 👉 Find them on our Social Media channels ❓Have questions or need support? We’re here 24/7 — [email protected]

Want salaries, reviews, and job listings from Glassdoor? Here’s the safe way to get them👇 Glassdoor is a goldmine for insights — but its strong anti-bot systems block most traditional scraping methods In our new guide, we show how to: - use Python + Playwright to simulate real browsing; - add proxies and headers to bypass detection; - safely collect data like job titles, salaries, companies, and locations 📌 Watch the full tutorial here: How to Scrape Glassdoor Data Using Python

Only until August 31, a special offer is available: 20% discount on ISP proxies and ISP MIX packages These solutions will become a reliable foundation for projects where the following are important: • stability, • speed, • high trust level ISP proxies combine the advantages of IPv4 and the reputation of residential proxies, making them ideal for long-term use Use the promo code HOTISP until the end of the month and get the maximum benefit View catalog Best regards, Proxy-Seller team

What is Data Normalization: How It Works 📊 It constitutes the practice of organizing in a systematic fashion that reduces redundancy, duplication, and improves integrity. It is commonly found in relational databases, analytics, business intelligence (BI) systems, and software development. With respect to businesses, data normalization promotes the accuracy and uniformity of information which is critical during strategic planning and decision making. For developers, it is a means of storage structure optimization, system performance enhancement, and easing maintenance programming. The aim of this article is to convey a straightforward description of what is data normalization, discuss its primary types, and describe principles alongside application examples. → Read the article Sincerely, Proxy-Seller.