The web is constantly evolving, and so is Proxyrack.

As websites introduce new anti-bot technologies, businesses scale their data collection efforts, and developers demand more reliable infrastructure, maintaining a high-quality proxy platform requires continuous improvement—not just occasional feature releases.

During the first half of 2026, our team has focused on strengthening every part of the Proxyrack platform, from our proxy network and Scraping API to the dashboard experience, documentation, and overall platform reliability.

Here's a look at what we've been working on.

Reliable proxies are the foundation of every successful data collection project.

, consistent performance depends on constant monitoring and optimization behind the scenes.

Throughout 2026, we've continued investing in:

While these improvements aren't always visible from the dashboard, they help reduce interruptions and improve the overall experience for customers running web scraping, automation, market research, SEO monitoring, ad verification, AI data collection, and other data-driven workloads.

Continuous Improvements to Our Scraping API

 continues to evolve alongside the modern web.

As websites introduce new protections and change their infrastructure, we've been continuously refining our backend to improve compatibility, performance, and overall reliability.

Rather than treating the Scraping API as a finished product, we see it as a continuously evolving service that adapts alongside the websites our customers rely on.

A powerful platform should also be easy to use.

Throughout 2026 we've continued refining the 

 to make managing services faster and more intuitive.

Our work has included improvements to onboarding, account management, authentication, and overall usability, helping both new and existing customers get started more quickly and manage their services more efficiently.

Reducing friction remains one of our ongoing priorities.

A great developer experience goes beyond the product itself.

 and publishing new educational resources covering proxy technologies, web scraping, APIs, CAPTCHA handling, and implementation best practices.

Our goal is to make it easier for developers of all experience levels to successfully integrate Proxyrack into their applications while staying up to date with changes across the web scraping ecosystem.

Maintaining a healthy proxy network requires continuous investment in platform integrity.

Throughout 2026 we've strengthened our internal systems to better protect customer accounts, reduce abuse, and maintain the quality of our network.

Although many of these improvements happen behind the scenes, they help create a more stable and reliable experience for every legitimate customer using Proxyrack.

Many of the improvements we've made this year began with customer conversations.

 from developers, businesses, and long-term customers continues to influence how we prioritize improvements, refine existing workflows, and shape future development.

Our goal isn't simply to add more features—it's to build features that solve real problems.

The first half of 2026 has been focused on strengthening the foundations of Proxyrack.

As we move into the second half of the year, we'll continue investing in the areas that matter most:

We're committed to making Proxyrack more reliable, more powerful, and easier to use with every update.

Whether you're using Proxyrack for web scraping, price monitoring, SEO, market research, brand protection, cybersecurity, AI data collection, automation, or another use case, we appreciate the trust you place in our platform.

Every improvement we make is driven by one objective: providing reliable proxy infrastructure that helps our customers build with confidence.

Thank you for being part of the Proxyrack community. We look forward to sharing more updates as 2026 continues.

Proxyrack

Company

Proxyrack Product Update 2026

Network Improvements, Scraping API Enhancements & Platform Updates

Proxyrack Product Update 2026: Network Improvements, Scraping API Enhancements & Platform Updates

A step-by-step guide to scraping eBay search results into structured item data.

We'll create a small program that includes:

 Fetch HTML once and save it. Build and test the parser against that saved file - do not re-fetch while iterating on selectors.

sudo apt update
sudo apt install python3.12 python3.12-venv


 is a fast tool that installs Python libraries. We use it instead of 

powershell -c "irm <https://astral.sh/uv/install.ps1> | iex"


curl -LsSf <https://astral.sh/uv/install.sh> | sh
source $HOME/.local/bin/env


pyright ships with a bundled Node binary that requires

, which is absent on minimal Ubuntu/Debian installs. If

libatomic.so.1: cannot open shared object file


Open your terminal, navigate to the project folder, then run:

uv run pytest          # all tests must pass
uv run ruff check .    # lint
uv run pyright         # strict type check


The parser works directly on HTML. You only need a search-results HTML file (like 

). No live request is required for this step.

uv run python main.py --html sample.html

# Show more rows
uv run python main.py --html sample.html --limit 10

# Optional label stored on the output object
uv run python main.py --html sample.html --keyword "shoes men" --limit 10


Parsed from local file: sample.html
============================================================
Keyword: None
Source: .../sample.html
Items found: 60
------------------------------------------------------------
- 168520328526 | $999.99 | Off White Virgil Abloh Air Jordan 1 High VAA ...
  <https://www.ebay.com/itm/168520328526>
  Pre-Owned | Buy It Now | +$396.57 delivery | United States
------------------------------------------------------------


Probe the saved HTML before changing selectors

uv run python -c "
from bs4 import BeautifulSoup
html = open('sample.html').read()
soup = BeautifulSoup(html, 'lxml')
cards = soup.select('ul.srp-results > li.s-card')
print('cards:', len(cards))
title = cards[0].select_one('.s-card__title .su-styled-text.primary')
print('title:', title.get_text(strip=True)[:80])
print('price:', cards[0].select_one('.s-card__price').get_text(strip=True))
"


uv run python main.py --search "shoes men"

uv run python main.py --search "shoes men" --fresh


keyword → home GET → wait >= 4s → search GET → parse_ebay_search_page() → EbaySearchData

 max 1 search per process run, minimum 4s between requests, stop on captcha/challenge markers, no pagination.

uv run python -m scripts.fetch_fixture "shoes men"
# writes tests/fixtures/shoes_men_search.html and updates session store


How to scrape eBay

CAPTCHAs are one of the biggest obstacles when collecting data from websites. Whether you're building an AI agent, monitoring prices, or performing large-scale data scraping, you'll eventually encounter a CAPTCHA challenge.

, why do websites use it, and how can legitimate businesses handle these challenges responsibly?

This guide explains everything you need to know.

A CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) challenge response is the data submitted after solving a CAPTCHA.

Instead of simply clicking a checkbox or selecting traffic lights, your browser generates a response token proving that the challenge was successfully completed.

The website verifies this response before allowing the request to continue.

Without a valid challenge response, many websites will block access to:

CAPTCHAs exist to reduce automated abuse such as:

Unfortunately, they also affect legitimate automation projects like:

Most modern CAPTCHA systems generate temporary encrypted tokens that expire quickly.

Websites evaluate hundreds of signals before deciding whether to display a challenge.

The more automated your traffic appears, the more likely you'll receive a challenge.

One major factor websites evaluate is your IP address.

A proxy server acts as an intermediary between your application and the destination website.

Using quality residential proxies helps distribute requests across multiple real-user IPs instead of sending thousands of requests from one address.

It's important to note that proxies do not "solve" CAPTCHAs—they simply help reduce the likelihood of triggering them when used responsibly.

Why Data Scraping Often Encounters CAPTCHA

Modern websites actively defend against automated traffic.

If you're performing data scraping at scale, you'll often encounter CAPTCHAs after:

Large scraping projects therefore combine:

An unblocker is a service that automatically manages common anti-bot protections.

the unblocker performs these tasks behind the scenes and returns the requested webpage.

This greatly simplifies large-scale scraping projects.

Why JSON Files Are Common in CAPTCHA Workflows

Many scraping APIs return responses as a JSON file or JSON object.

{
  "status":"success",
  "captcha_detected":false,
  "data": {
      ...
  }
}


JSON is widely used because it is lightweight, easy to parse, and supported by nearly every programming language.

Many developers execute requests concurrently instead of one after another.

However, increasing concurrency also increases the likelihood of triggering anti-bot systems.

Sending thousands of simultaneous requests from one IP almost guarantees CAPTCHA challenges.

 is one of the core communication protocols that allows computers to exchange data reliably over the internet. Every time you load a website, send an email, or make an API request, TCP is typically responsible for ensuring that the data reaches its destination correctly and in the right order.

When your browser or application connects to a website, it establishes a TCP connection before any data is transferred. This connection includes details about how your device communicates with the server.

Many modern anti-bot systems analyse TCP-level characteristics, such as:

These signals can help websites distinguish between real users and automated traffic. For example, if thousands of requests come from connections that all behave identically or don't resemble those of a typical web browser, the traffic may be flagged as suspicious.

This is one reason why modern scraping solutions often use real browser automation instead of simple HTTP clients—they more closely replicate the network behaviour of genuine users, reducing the likelihood of triggering anti-bot systems.

 refers to artificial intelligence systems that can independently perform tasks to achieve a goal, rather than simply responding to individual prompts. Unlike traditional AI chatbots that wait for instructions, agentic AI can plan actions, make decisions, use tools, and adapt its approach based on the information it gathers.

Because these AI agents interact with websites much like a human user would, they often encounter the same anti-bot protections, including CAPTCHA challenges. If an agent sends too many requests, accesses websites too quickly, or exhibits behaviour that appears automated, it may be asked to complete a CAPTCHA before continuing.

To improve reliability, many agentic AI applications combine browser automation, residential proxies, intelligent rate limiting, and session management to reduce the likelihood of triggering anti-bot systems while interacting with websites responsibly.

Several companies offer tools designed to simplify web data collection.

Some well-known providers, such as Oxylabs, Bright Data, and Proxyrack, offer solutions aimed at improving scraping reliability through residential proxy networks and anti-blocking technologies.

The best choice depends on your project's scale, compliance requirements, and budget.

Best Practices for Avoiding CAPTCHA Challenges

Rather than trying to bypass protections aggressively, follow best practices:

These practices improve both reliability and the overall health of your scraping infrastructure.

A CAPTCHA challenge response is a verification token that proves a CAPTCHA has been successfully completed. While it plays an essential role in protecting websites from abuse, it can also create friction for legitimate automation tasks such as data scraping, aggregation, and AI-powered workflows.

Understanding how CAPTCHA systems work—and how factors like proxy servers, concurrent requests, TCP behaviour, and unblocker services influence them—can help you build more reliable, responsible automation systems while reducing unnecessary interruptions.

Is a CAPTCHA challenge response the same as a CAPTCHA?

No. The CAPTCHA is the challenge itself, while the challenge response is the verification token generated after it is solved.

No. A proxy server can reduce the chances of triggering a CAPTCHA, but it does not solve the challenge.

Websites often use anti-bot measures to protect resources, prevent abuse, and manage server load. Legitimate scraping projects should respect applicable terms and legal requirements.

An unblocker is a service that combines proxy management, browser automation, and anti-bot handling to improve access to websites that employ protection mechanisms.

Yes. Agentic AI systems that browse websites automatically can trigger CAPTCHA challenges if their behaviour resembles automated traffic.

What Is a CAPTCHA Challenge Response? A Complete Guide (2026)

How to Find the Best Value

SERP APIs make it possible to collect search engine results at scale without building and maintaining your own scraping infrastructure.

But comparing SERP API pricing isn't always straightforward.

One provider might charge per API request. Another might use a credit system where a single request consumes multiple credits depending on location, result type, or complexity. Some charge only for successful requests, while others count every request against your allowance.

That means the cheapest advertised plan isn't necessarily the cheapest option for your project.

In this guide, we'll break down how SERP API pricing works in 2026, what affects the real cost of collecting search data, and what to consider when comparing providers.

SERP stands for Search Engine Results Page.

A SERP API allows developers to programmatically retrieve search engine results and receive them as structured data, typically JSON.

Instead of manually loading search pages or maintaining a custom scraper, your application sends a request to an API. The provider handles the underlying data collection and returns the results.

Depending on the provider, a SERP API may return:

SERP APIs are commonly used for SEO monitoring, rank tracking, competitor research, market intelligence, lead generation, data analysis, and AI applications.

SERP API pricing varies significantly between providers.

Rather than comparing only the monthly subscription price, it's important to calculate how much usable data you're actually receiving.

Each model has advantages and disadvantages.

A $100 plan offering 100,000 requests may initially look cheaper than a $100 plan offering 50,000 requests. But if the first provider has a lower success rate or charges additional credits for features you need, the second option may actually deliver better value.

SERP API Pricing: What Should You Compare?

When comparing SERP API providers, the headline monthly price tells only part of the story.

Here are the factors that can significantly affect your real cost.

One of the easiest ways to compare SERP API pricing is to calculate the cost per 1,000 requests.

Monthly plan cost ÷ included requests × 1,000

For example, if a plan costs $100 and includes 50,000 requests:

$100 ÷ 50,000 × 1,000 = $2 per 1,000 requests

This creates a simple baseline for comparing providers.

However, this calculation only works if one request has roughly the same value across each platform.

With credit-based pricing, that isn't always the case.

Some SERP APIs use credits instead of requests.

For example, a standard request might consume one credit, while an advanced request could consume five, ten, or even more.

Additional credits may be required for features such as:

If a plan includes one million credits but your average request consumes ten credits, you effectively have only 100,000 requests.

, rather than relying solely on the number of advertised credits.

This is one of the most important factors when calculating SERP API costs.

Provider A charges $1 per 1,000 requests but successfully completes 80% of them.

Provider B charges $1.20 per 1,000 requests but successfully completes 99%.

The cheaper provider may require significantly more requests to collect the same amount of usable data.

At scale, small differences in success rates can have a major impact on costs.

Search results can vary dramatically depending on location.

A user searching from New York may see different results from someone searching from London, Singapore, or Sydney.

If your application requires localized SERP data, check whether geographic targeting is included in the standard price.

Some providers include location targeting by default, while others may charge additional credits or require higher-tier plans.

For local SEO monitoring and international market research, geographic flexibility can be more important than the lowest possible price per request.

This makes it easy to integrate results into:

However, some APIs may charge differently depending on whether you request:

If your team needs structured data, make sure parsing is included when comparing prices.

Otherwise, you'll need to factor in the engineering cost of parsing and maintaining your own extraction logic.

SERP API pricing often becomes more competitive at higher volumes.

A small project collecting 10,000 results per month has very different requirements from a platform processing millions of queries.

Before choosing a provider, estimate your expected usage.

These numbers are illustrative, but they highlight why the "best" SERP API pricing depends heavily on scale.

At high volumes, even a small difference in cost per 1,000 requests can translate into significant monthly savings.

SERP API vs. Building Your Own Scraper: Which Is Cheaper?

Another important pricing consideration is whether you need a SERP API at all.

There are two primary approaches to collecting search result data:

Your developers send requests and receive data without having to maintain the underlying scraping infrastructure.

The trade-off is that you're paying the provider to manage that infrastructure.

Running your own scraper gives you significantly more control.

Instead of paying a fixed cost per API request, your primary costs become:

For small projects, a managed API is often simpler.

For large or highly customized scraping operations, building your own infrastructure with residential or datacenter proxies may offer greater flexibility.

SERP API Pricing Compared in 2026

SERP API Pricing Compared in 2026: How to Find the Best Value

Whether you're a casual gamer, professional streamer, game developer, or QA tester, a gaming proxy can help you access game servers from different regions, protect your IP address, manage multiple accounts, and test online experiences from virtually anywhere in the world.

Unlike a VPN, a proxy allows you to route specific applications or traffic through a different IP address, giving you greater flexibility while maintaining optimal performance for your gaming setup.

At Proxyrack, we provide millions of residential, ISP, datacenter, and mobile proxy IPs worldwide, supporting HTTP, HTTPS, and SOCKS5 protocols to help gamers and businesses connect wherever they need.

A gaming proxy is an intermediary server that routes your game's internet traffic through a different IP address before it reaches the game server.

Instead of connecting directly from your home IP, your connection is forwarded through a proxy located in another city or country.

Many online games release updates, beta tests, or special events only in selected countries.

A gaming proxy lets you connect through an IP address from the required region, making it easier to access available content where permitted by the game's policies.

 are especially useful because they appear as genuine residential internet connections.

Competitive gamers and streamers often prefer not to expose their residential IP addresses.

Using a proxy helps separate your personal internet connection from your gaming activities, reducing unnecessary exposure while adding an additional layer of privacy.

Game developers need to understand how players experience their games worldwide.

Many businesses legitimately manage multiple accounts for testing, customer support, moderation, or quality assurance.

Gaming proxies help assign different IP addresses to these environments, making account management more organized.

Always ensure your activities comply with the game's Terms of Service.

Publishers often release promotions that vary by country.

Using proxies allows marketing and QA teams to verify:

This is one of the most common questions we receive.

A proxy does not magically reduce latency. In fact, adding another server between you and the game can sometimes increase ping.

However, there are situations where a proxy may improve your overall connection:

The primary benefits of gaming proxies are 

privacy, flexibility, regional access, and testing

Both proxies and VPNs change your IP address, but they serve different purposes.

For developers, testers, and users who only want to route gaming traffic, a SOCKS5 proxy is often the more flexible solution.

 use IP addresses assigned by Internet Service Providers to real households.

ISP proxies combine the speed of datacenter infrastructure with IP addresses registered to Internet Service Providers.

 offer exceptional speed and scalability.

 route traffic through real mobile networks.

Development teams use gaming proxies to test: