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:

Cloud gaming platforms rely heavily on geographic infrastructure.

Tournament organizers may use proxies to:

SOCKS5 is the preferred protocol for many gaming applications because it works at a lower network level than HTTP proxies.

Proxyrack supports SOCKS5 across multiple proxy products, making it an excellent choice for gaming-related workloads.

Proxyrack provides proxy solutions trusted by businesses, developers, researchers, and technical teams around the world.

Whether you're testing a multiplayer game, validating regional content, or protecting your IP address while gaming, Proxyrack offers a reliable proxy network designed for performance and flexibility.

A gaming proxy routes your gaming traffic through another IP address, allowing you to access services from different locations while protecting your home IP.

Gaming Proxies in 2026

The Complete Guide to Faster Testing, Better Privacy & Global Access

Gaming Proxies in 2026: The Complete Guide to Faster Testing, Better Privacy & Global Access

 to earn passive income? You're not alone. As bandwidth-sharing becomes more popular, millions of people are discovering they can make money from internet bandwidth they aren't using.

, the goal is the same: earn extra income by securely sharing your unused internet connection.

In this guide, we'll explain how data selling apps work, compare the best platforms available in 2026, discuss how much you can earn, and help you choose the right solution.

 allows you to earn passive income by securely sharing a portion of your unused internet bandwidth.

Instead of letting your extra bandwidth go unused, you install an application that connects your device to a residential proxy network. Businesses then use these residential IP addresses for legitimate purposes such as:

. Reputable providers only use the internet connection you choose to share and never access your files, messages, or browsing history.

The process is automatic, making it an easy way to generate passive income without changing how you use your internet connection.

Several companies allow users to monetize unused internet bandwidth. Here's how some of the most popular platforms compare.

 allows users to earn money by securely sharing unused internet bandwidth through one of the world's largest residential proxy networks.

Businesses use the network for legitimate activities such as market research, public web data collection, ad verification, and SEO monitoring.

 backed by enterprise-grade infrastructure, Proxyrack is one of the strongest options available.

Repocket is another popular bandwidth-sharing platform that lets users monetize unused internet bandwidth through desktop and mobile devices.

The platform offers an intuitive dashboard, supports multiple operating systems, and makes it easy to track earnings.

 Users who want a straightforward setup with support for multiple devices.

Honeygain is one of the best-known data selling apps and has helped introduce bandwidth sharing to millions of users.

Its simple interface and easy installation make it a good option for beginners.

 New users looking for a simple way to earn passive income.

Pawns.app combines bandwidth sharing with paid online surveys, giving users multiple ways to earn money.

If you like diversifying your online income, it can be an attractive alternative.

 Users who want more than just bandwidth sharing.

PacketStream focuses primarily on desktop users who want to earn money from unused internet bandwidth.

Although it has a smaller ecosystem than some competitors, it's still a recognized option in the bandwidth-sharing space.

 Desktop users looking for a lightweight solution.

The best platform depends on what you're looking for.

 if you mainly use a desktop computer and prefer a lightweight bandwidth-sharing application.

 continues to grow as more users look for ways to earn passive income online.

sell internet data and earn money in India

, we've created a dedicated guide that explains:

Sell Internet Data and Earn Money in India

If your mobile carrier allows bandwidth sharing and you have unused mobile data available, you may be able to earn money by sharing a portion of your connection.

Your earnings depend on factors such as your location, internet speed, device uptime, and demand for residential IP addresses.

While bandwidth sharing won't replace a full-time income, it can generate consistent passive earnings from internet capacity that would otherwise go unused.

Yes, as long as you choose a reputable provider.

For your security, always download applications directly from the provider's official website or app store rather than unofficial APK download sites.

Popular choices include Proxyrack, Repocket, Honeygain, Pawns.app, and PacketStream. The best option depends on your location, devices, and earning goals.

Yes. Several legitimate bandwidth-sharing platforms allow you to earn money by securely sharing unused internet bandwidth.

Yes. Many providers support mobile devices, allowing users to monetize unused mobile internet.

Yes. If your carrier allows it, you can earn passive income by sharing unused mobile bandwidth.

Using legitimate bandwidth-sharing services is generally legal in many countries. However, you should always review your provider's terms of service and local regulations.

Yes. Most providers offer both a website where you can manage your account and an application that securely shares your unused bandwidth.

 comes down to security, transparency, ease of use, and reliable payouts.

, bandwidth sharing can be an easy way to generate passive income from internet capacity you're not using.

If you're looking for a reliable platform backed by a large residential proxy network, 

 offers a secure way to earn money while helping businesses access public web data responsibly.

  today and start turning your unused internet bandwidth into passive income.

5 Best Data Selling Apps to Earn Money in 2026

A step-by-step guide to building a local-first HTML parser for Amazon product pages and embedded reviews.

 HTML is fetched once and saved to disk. All parser development runs against that saved file — never re-fetch during iteration.

→ Live HTML fetch via httpx (no browser unless Amazon blocks requests)

 → CLI to download and save HTML fixture

 → BeautifulSoup parsers + shared selectors and text helpers

→ Demo CLI — accepts a product URL, parses fixture (or live) and prints summary

 → Offline pytest suite against saved HTML

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

 Only fetch when the fixture is missing or Amazon markup has changed. Never re-fetch during parser iteration.

# Default sample product (Nike Balaclava)
 uv run python -m scripts.fetch_fixture

# Any product or product-reviews URL (ASIN is extracted automatically)
 uv run python -m scripts.fetch_fixture "<https://www.amazon.com/dp/B001GAOTSW>"

# Custom output path
 uv run python -m scripts.fetch_fixture "<https://www.amazon.com/dp/B0959JT4PV>" \
  --output tests/fixtures/b0959jt4pv_product.html


 page often redirects to Amazon Sign-In over plain HTTP. Reviews are parsed from the 

embedded review block on the product page

Probe the saved HTML before writing selectors

Amazon product pages are large (~2 MB). Inspect the saved HTML locally:

uv run python -c "
from bs4 import BeautifulSoup
html = open('tests/fixtures/b0959jt4pv_product.html').read()
soup = BeautifulSoup(html, 'lxml')
print('title:', soup.select_one('#productTitle').get_text(strip=True)[:60])
print('reviews:', len(soup.select('[data-hook=\"review\"]')))
"


data-hook='average-star-rating'] product_parser.py

a[aria-label] inside histogram widget product_parser.py

#detailBullets_feature_div li product_parser.py

[data-hook='reviewTitle'] review_parser.py

[data-hook='reviewText'] review_parser.py

 attributes (stable across redesigns), add selectors to 

uv run python main.py "<https://www.amazon.com/dp/B0959JT4PV>"


Parsed from local fixture: b0959jt4pv_product.html
============================================================
Title: Nike unisex-adult mens Balaclava
ASIN: B0959JT4PV
Brand: Nike
Rating: 4.7 (8302 reviews)
...
Reviews parsed from page: 13
- 5.0★ | Great Fit and Quality – Highly Recommend
  I recently bought this Nike ski mask...


uv run python -c "
from api import AmazonClient
url = '<https://www.amazon.com/Nike-Hyperwarm-Hydropull-Hood-Balaclava/dp/B0959JT4PV>'
with AmazonClient() as client:
    data = client.scrape_product(url)
print(data.product.title, '|', len(data.reviews), 'reviews')
"


product URL → normalize_product_url() → httpx GET → parse_amazon_page() → AmazonProductData

How to Scrape Amazon Product Pages and Reviews

How to scrape Amazon product pages and reviews

Businesses generate enormous amounts of data every day, but not all data is equally valuable. For B2B companies, one of the most powerful forms of information is firmographic data.

Whether you're building prospect lists, conducting market research, identifying ideal customers, or supporting account-based marketing campaigns, firmographic data helps you understand businesses at a deeper level.

In this guide, we'll explain what firmographic data is, why it matters, how organizations use it, and how to collect firmographic data at scale using modern web scraping techniques.

Firmographic data is information used to categorize and describe organizations. It serves as the business equivalent of demographic data, which is used to describe individuals.

While demographics include characteristics such as age, gender, and income, firmographics focus on company-specific attributes.

Common examples of firmographic data include:

For example, a SaaS company selling enterprise software may target organizations with:

Firmographic data helps identify companies that match these criteria.

Organizations use firmographic data to make smarter business decisions and improve targeting accuracy.

Instead of approaching every potential company, businesses can focus on organizations that closely align with their ideal customer profile (ICP).

Sales teams can prioritize businesses that are most likely to become customers, increasing efficiency and conversion rates.

Marketers can divide audiences into meaningful groups based on industry, company size, location, or revenue.

ABM campaigns rely heavily on accurate firmographic information to identify and engage high-value accounts.

Businesses can analyze competitors, market trends, and industry changes more effectively.

Customer success teams can better understand client needs and tailor support based on company characteristics.

Industry classifications help businesses understand the products and services a company provides.

Annual revenue can indicate purchasing power and organizational maturity.

Location data helps businesses target specific countries, regions, or cities.

Many organizations track technologies used by potential customers, including:

Technology firmographics are especially valuable for SaaS companies.

Sales teams use firmographic filters to identify companies that match their ideal customer profile.

Instead of manually researching thousands of businesses, sales representatives can focus on high-quality prospects.

Researchers use firmographic data to identify trends, growth opportunities, and market gaps.

Businesses can compare themselves against competitors within specific industries, regions, or revenue segments.

Firmographic Data: What It Is and How to Collect It at Scale

Web scraping has become a critical capability for businesses that rely on public web data for market research, price monitoring, lead generation, SEO tracking, AI training, and competitive intelligence. As demand for data continues to grow, no-code web scraping platforms have become increasingly popular among users who want to extract data without writing code.

Two of the most recognized tools in this space are ParseHub and Octoparse.

Both platforms promise to simplify web scraping through visual interfaces, automation, and cloud-based extraction. But which one is better in 2026?

In this guide, we'll compare ParseHub and Octoparse across ease of use, features, pricing, performance, scalability, and proxy integration to help you choose the right solution for your needs.

ParseHub is a visual web scraping tool that allows users to extract data from websites without programming knowledge.

The platform uses a point-and-click interface that enables users to select elements on a page and build scraping workflows visually. ParseHub can handle JavaScript-heavy websites and supports pagination, form submissions, dropdown interactions, and dynamic content extraction.

Octoparse is another leading no-code web scraping platform designed to make data extraction accessible to non-technical users.

Like ParseHub, Octoparse provides a visual interface that allows users to create scraping workflows without writing code. The platform offers numerous pre-built templates for popular websites, making it easier to start collecting data quickly.

Octoparse has gained popularity because of its 

While both tools are highly capable, the best choice often depends on your experience level and scraping requirements.

ParseHub offers significant flexibility but can require more time to master.

Users often appreciate its advanced selection tools and customization options, but beginners may need additional time to become comfortable with the interface.

Octoparse focuses heavily on user experience.

Its interface is intuitive, and its template system allows users to launch scraping projects quickly.

Dynamic Websites and JavaScript Rendering

Modern websites increasingly rely on JavaScript to load content dynamically.

Both ParseHub and Octoparse are capable of rendering JavaScript and extracting data from dynamic websites.

In practical use, both tools perform well in this category.

Amazon remains one of the most commonly scraped websites in the world.

When testing Amazon scraping projects, both ParseHub and Octoparse are capable solutions. However, Octoparse's pre-built templates provide a faster starting point for many users.

That said, neither platform can reliably scrape Amazon at scale without additional infrastructure.

Amazon actively detects automated traffic and limits requests coming from a single IP address.

This is where proxy integration becomes essential.

Why Both ParseHub and Octoparse Need Proxies

One of the biggest misconceptions among new users is that installing a scraping tool is enough to collect data at scale.

In reality, most scraping limitations come from IP-based blocking rather than scraping software limitations.

Without a web scraping proxy, both ParseHub and Octoparse will eventually encounter:

For serious projects, proxy infrastructure is just as important as the scraper itself.

Best Proxy Servers for ParseHub and Octoparse

Choosing the right proxy server for web scraping can dramatically improve extraction success rates.

 use IP addresses assigned by internet service providers to real devices.

Residential proxies are particularly effective for:

 route traffic through mobile carrier networks.

Mobile proxies are often used when scraping websites with advanced anti-bot systems.

They are suitable for scraping less restrictive websites and large-scale crawling projects.

Pricing structures change frequently, but both platforms offer free trials and paid plans that scale based on usage requirements.

When evaluating costs, users should consider:

It's also important to account for proxy costs since successful scraping projects typically require external proxy infrastructure.

If you're completely new to web scraping, Octoparse is generally the easier platform to learn.

Its visual workflow builder and extensive template collection reduce the amount of configuration required.

For users who want fast deployment and minimal setup, Octoparse often provides a smoother experience.

Advanced users may prefer ParseHub due to its flexibility and ability to handle more customized workflows.

While both tools are excellent options, some users eventually migrate to more customizable solutions such as:

These frameworks require programming knowledge but provide significantly greater flexibility and scalability.

Many organizations combine these tools with rotating residential proxies to build enterprise-grade scraping infrastructure.

Which Tool Is Better for Large-Scale Web Scraping?

For small and medium-sized projects, both ParseHub and Octoparse perform well.

However, as scraping volumes increase, the success of your project becomes less dependent on the scraper itself and more dependent on:

ParseHub vs Octoparse in 2026: Which Web Scraping Tool Is Better?

Web scraping using Python has become one of the most efficient ways to collect data from websites at scale. Whether you're building price trackers, monitoring competitors, gathering market intelligence, or training AI models, Python offers powerful libraries and tools that simplify the entire scraping process.

Many modern scraping projects rely on rotating proxy infrastructure to avoid bans and maintain reliable data collection. If you're new to proxies, check out:

If you're just getting started or want to improve your existing scraping setup, this guide covers everything from beginner to advanced concepts.

Web scraping is the process of automatically extracting data from websites.

Instead of manually copying information from web pages, scraping tools collect the data programmatically and organize it into structured formats such as:

Python is the most popular programming language for web scraping because it is:

Python also has excellent scraping libraries that handle:

You can also explore our detailed comparison of the best tools available today: 

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