#ecommerce web scraping tool

[retailgators]

Benefits of Digital Shelf Analytics for Online Retailers

Boost your Ecommerce strategy with Digital Shelf Analytics. Optimize product visibility, analyze competitors, and stay competitive in the online Retail Industry.

[web-scraping-tutorial-blog]

How to get product data from HealthPost

HealthPost is a well-known e-commerce platform in New Zealand, focusing on natural health products and skin care products.

Introduction to the scraping tool

ScrapeStorm is a new generation of Web Scraping Tool based on artificial intelligence technology. It is the first scraper to support both Windows, Mac and Linux operating systems.

Preview of the scraped result

This is the demo task:

Google Drive:

OneDrive:

HealthPost -Scraping_task.sst

1. Create a task

(2) Create a new smart mode task

You can create a new scraping task directly on the software, or you can create a task by importing rules.

How to create a smart mode task

2. Configure the scraping rules

Smart mode automatically detects the fields on the page. You can right-click the field to rename the name, add or delete fields, modify data, and so on.

3. Set up and start the scraping task

(1) Run settings

Choose your own needs, you can set Schedule, IP Rotation&Delay, Automatic Export, Download Images, Speed Boost, Data Deduplication and Developer.

4. Export and view data

(2) Choose the format to export according to your needs.

ScrapeStorm provides a variety of export methods to export locally, such as excel, csv, html, txt or database. Professional Plan and above users can also post directly to wordpress.

How to view data and clear data

[arctechnolabs1]

Global Guide to Web Scraping Wine Pricing Trends

Introduction

In an era where consumer preferences and global trade dynamics shift rapidly, understanding real-time wine pricing trends is crucial for businesses in the alcohol industry. Web scraping wine pricing trends has become a powerful solution for importers, distributors, sommeliers, and wine retailers seeking a data-driven edge in global markets.

By using advanced tools to Scrape Alcohol Price Data Intelligence, professionals can access updated price listings, market fluctuations, regional demand patterns, and promotional pricing—helping them make smarter procurement and pricing decisions.

The Role of Data in the Wine Industry

The global wine industry is driven by intricate factors—vintage, region, availability, and seasonal consumption—that impact pricing and demand. As the market becomes more competitive and digitalized, businesses can no longer afford to rely on outdated reports or manual tracking. Instead, they are turning to Web Scraping Services and intelligent tools to gather real-time insights, allowing them to stay agile and data-informed in a fluctuating industry.

1. Accessing Accurate Global Pricing with Web Scraping

One of the biggest advantages of using Web scraping wine pricing trends is the ability to collect pricing data across various geographies. Importers, distributors, and sommeliers can monitor price shifts for specific varietals in real time.

Example Stats: Average Retail Wine Prices (2020–2025)

2. Monitoring Trends to Predict Consumer Demand

By using a Wine industry data scraper tool, businesses can Analyze wine sales trends 2025 to predict seasonal demand patterns and adjust inventories accordingly.

Example Stats: Seasonal Sales Growth (%) by Quarter (2020–2025)

3. Tapping into Marketing Intelligence

Advanced scrapers can Extract wine marketing data such as promotional offers, product descriptions, and regional campaigns from online retailers. This can be especially helpful for crafting hyper-targeted campaigns.

Example: Marketing Mentions by Region (2025)

4. Reviewing Price Data with Liquor Datasets

With access to Liquor or Alcohol Price Review Datasets , stakeholders can monitor long-term price trends, promotional impacts, and regional differentials to plan bulk orders or adjust their retail pricing strategies.

Example: Price Variation for Red Wines (2020–2025)

5. Streamlining Collection with Modern Tools

Businesses now employ Web Scraping Liquor or Alcohol Data technologies such as Web Scraping API Services and Mobile App Scraping Services to automatically Scrape wine sales data 2025 and retrieve structured insights without maintaining manual workflows.

Using these tools, companies can Scrape Alcohol Price Data Intelligence directly from marketplaces, apps, and eCommerce stores in real time—enhancing agility and responsiveness.

By investing in smart solutions like Web scraping wine pricing trends, companies gain a competitive advantage through accurate forecasting, better marketing strategies, and optimized purchasing. Data is no longer optional in the wine trade—it's your most valuable asset.

Key Benefits of Web Scraping Wine Pricing Trends

1. Global Price Benchmarking

With Web scraping wine pricing trends, importers can benchmark prices across countries and retailers. This helps in identifying profitable sourcing regions and preventing overpricing in local markets.

Example:

2. Sales Forecasting and Demand Planning

Distributors can Analyze wine sales trends 2025 by combining pricing data with seasonal sales activity. This helps forecast stock requirements and optimize distribution.

Example:

3. Retailer and Competitor Analysis

Using a Wine industry data scraper tool, sommeliers and retailers can monitor top-performing SKUs, limited-edition releases, and pricing strategies of competitors.

Example:

4. Extracting Marketing Insights

Professionals can Extract wine marketing data from promotional banners, discount listings, and regional campaigns. This intelligence can guide more effective marketing and ad targeting.

5. Mobile App Data Insights

Many wine retailers now offer mobile-exclusive deals and flash sales. Through Mobile App Scraping Services, businesses can collect this app-specific data and integrate it into pricing models for more competitive offerings.

Tools Used in Scraping Alcohol Data

As the global wine and liquor industry shifts toward data-driven strategies, businesses increasingly rely on robust tools specifically designed for Web Scraping Liquor or Alcohol Data and compiling Liquor or Alcohol Price Review Datasets. These tools must be capable of handling dynamic content, JavaScript-rendered pricing modules, and anti-bot mechanisms such as CAPTCHA and IP restrictions.

Modern Web Scraping Services employ scalable and flexible infrastructures to crawl thousands of wine and liquor product pages daily. Whether it's eCommerce platforms, regional distributor websites, or global wine trading portals, these tools ensure high data accuracy and consistency.

To Scrape wine sales data 2025 effectively, companies integrate Web Scraping API Services to fetch real-time pricing, availability, and promotional information. APIs ensure continuous, structured delivery of data, enabling wine importers and marketers to Analyze wine sales trends 2025 and react quickly to shifting market conditions.

In addition, Mobile App Scraping Services are used to extract pricing and offer-related content from liquor and wine delivery apps—many of which feature app-exclusive rates or localized offers not visible on web portals.

Advanced Wine industry data scraper tools not only collect data but also normalize and clean it, enabling organizations to Extract wine marketing data efficiently for analytics dashboards, CRM systems, or pricing intelligence platforms. These tools help businesses Scrape Alcohol Price Data Intelligence from multi-language and multi-currency platforms with high accuracy.

By leveraging the power of Web scraping wine pricing trends, companies in the liquor and wine space gain a competitive edge—ensuring they stay ahead of pricing shifts, seasonal fluctuations, and consumer demand in every region.

ArcTechnolabs integrates these modern tools with precision to deliver actionable insights from global alcohol data sources.

Why Choose ArcTechnolabs?

At ArcTechnolabs, we offer end-to-end Web Scraping Services tailored specifically to the wine and alcohol industry. Our expertise includes building powerful Wine industry data scraper tools designed for both global and regional coverage. We provide robust Web Scraping API Services that automate real-time data delivery, ensuring you have access to the most up-to-date information at all times. Our Mobile App Scraping Services are fully scalable, enabling you to access exclusive pricing and promotional data often locked behind mobile platforms.

We also utilize advanced scraping techniques to extract data from JavaScript-heavy websites and protected sources, overcoming typical scraping challenges like CAPTCHAs and geo-restrictions. For businesses looking to make informed decisions, we deliver custom dashboards and analytics tools that help you Analyze wine sales trends 2025 effortlessly.'

Whether you want to Scrape BookMyShow movie ticket data today or Scrape Alcohol Price Data Intelligence tomorrow, ArcTechnolabs builds flexible, industry-specific scraping solutions that evolve with your business goals.

Conclusion

The global wine market is rich in opportunity—but only for those who stay informed. By leveraging Web scraping wine pricing trends, importers and sommeliers gain the competitive advantage needed to forecast accurately, price competitively, and market intelligently. With ArcTechnolabs as your data partner, you can transform fragmented online wine listings into actionable intelligence that fuels your business success. Ready to unlock real-time wine pricing insights? Contact ArcTechnolabs today for a custom scraping solution built for your market!

Source >> https://www.arctechnolabs.com/wine-pricing-data-scraping-global-trends.php

🚀 Fuel your growth with real-time data! 📩 sales@arctechnolabs.com | 📞 +1 424 377 7584 ArcTechnolabs – Data that drives decisions.

[realdataapiservices]

🚀 Power Your Sales Pipeline with Targeted Web Data Scraping!

In today’s hyper-competitive markets, finding the right leads faster makes all the difference. RealDataAPI’s Lead Generation Scraping Solution helps you capture high-quality, verified leads directly from public sources like directories, review platforms, job boards, eCommerce sites, and more.

📌 What You Can Do with It: ✅ Scrape contact info, company details, social links, reviews & ratings ✅ Generate geo-targeted B2B or B2C leads from any region ✅ Access industry-specific data: real estate, SaaS, healthcare, retail, etc. ✅ Filter by keywords, niches, and data fields relevant to your outreach ✅ Integrate directly into your CRM, sales tools, or marketing stack

💡 “Lead generation isn’t about more data—it’s about the right data.”

From startups to enterprises, this service helps sales, marketing, and growth teams cut through noise and focus on real prospects with precision.

📩 Contact us: sales@realdataapi.com

[prodfinity]

Mastering Market Dynamics: How Ecommerce Businesses Use Competitor Pricing to Win

In the dynamic world of ecommerce, pricing is more than just a number—it’s a key driver of customer decisions, profit margins, and market positioning. While factors like product quality, branding, and user experience play significant roles, pricing remains one of the most influential variables in a buyer's journey. As competition intensifies, ecommerce businesses are increasingly relying on ecommerce competitor price monitoring to stay relevant and competitive.

Why Pricing Intelligence Matters

Consumers today are savvy and price-sensitive. With a few clicks, they can compare prices across multiple platforms and choose the best deal. This shift in consumer behavior has made static pricing strategies obsolete. To keep up, ecommerce businesses must track and adapt to the fluctuating prices of their competitors. Doing so ensures they’re neither pricing themselves out of the market nor undercutting profits unnecessarily.

Ecommerce competitor price monitoring allows businesses to gather real-time data about their rivals’ pricing strategies. This information becomes a foundation for strategic decision-making, such as dynamic pricing, promotional campaigns, and even inventory management.

Benefits of Monitoring Competitor Prices

Informed Pricing Decisions Knowing what your competitors charge helps you find the sweet spot in your pricing—balancing competitiveness and profitability. For example, if a rival drops prices on a product you also sell, you might decide to adjust your price to remain attractive or emphasize superior value instead.

Enhanced Profit Margins Price monitoring doesn’t always mean reducing prices. It also helps identify opportunities to raise prices when competitors are low on stock or have increased their own. This ensures you’re not leaving money on the table.

Better Product Positioning By comparing your product’s features and price to competitors’, you can better understand your value proposition. Are you the budget option, the premium choice, or somewhere in between? Monitoring helps clarify this and guides marketing efforts accordingly.

Competitive Advantage Businesses that respond quickly to market shifts can capitalize on trends before others catch on. Real-time monitoring enables agility, whether it’s reacting to a flash sale or launching a counter-campaign.

Customer Retention and Loyalty Pricing consistency and fairness build trust. If customers feel confident that you offer competitive pricing, they’re more likely to return—even if they don’t always get the absolute lowest price.

Tools and Techniques

Manual tracking of competitor prices is time-consuming and prone to error, especially for businesses with large catalogs. Thankfully, there are numerous tools available that automate the process. These platforms crawl competitors' websites and marketplaces, collect pricing data, and present it in actionable formats like dashboards and alerts.

Some tools even integrate with your ecommerce platform to enable dynamic pricing—automatically adjusting your prices based on competitor behavior, inventory levels, or demand fluctuations.

Additionally, businesses often employ web scraping, APIs, and machine learning models to enhance price tracking accuracy and predictive capabilities.

Ethical and Legal Considerations

While the technical capabilities are impressive, businesses must ensure their monitoring practices comply with legal and ethical standards. Web scraping, for instance, should respect a competitor’s terms of service and avoid overloading their servers. It’s also important to avoid practices that could be seen as anti-competitive or collusive.

Working with reputable tools and legal advisors can help ensure your monitoring strategy is robust, effective, and above board.

When and What to Monitor

Not every product requires the same level of scrutiny. Focus on high-margin items, bestsellers, or products with volatile prices. Seasonal items and new product launches also merit close monitoring due to their short window of peak competitiveness.

Frequency matters too. For fast-moving products or industries, daily or even hourly monitoring may be necessary. For slower-moving categories, weekly checks might suffice.

The Future of Price Monitoring

As artificial intelligence and big data analytics advance, ecommerce price monitoring will become even more sophisticated. Predictive pricing, sentiment analysis from reviews, and demand forecasting are beginning to merge with pricing strategies, creating a more comprehensive view of the market.

Ultimately, the goal is not just to match or beat competitor prices, but to understand the entire pricing ecosystem—what drives customer decisions, how brand perception influences value, and when price adjustments are most effective.

Final Thoughts

In a marketplace where customers have endless options and razor-thin attention spans, pricing can make or break a sale. Ecommerce competitor price monitoring is no longer a luxury—it’s a necessity. By staying informed and agile, businesses can not only survive but thrive in an increasingly competitive environment.

Whether you’re a startup or an established retailer, integrating price monitoring into your strategy can provide the insights needed to outsmart the competition and drive sustained growth.

[datascraping001]

Scraping Capterra.com Product Details: Unlock B2B Software Insights for Smarter Decisions

Scraping Capterra.com Product Details: Unlock B2B Software Insights for Smarter Decisions

In the competitive world of B2B software, informed decision-making is everything. Whether you're a SaaS provider, market researcher, or software reseller, having access to accurate product details can drive strategic choices and better customer engagement. At Datascrapingservices.com, we offer professional Capterra.com Product Details Scraping Services that provide you with structured, reliable, and up-to-date data from one of the most trusted software directories in the world.

Why Scrape Capterra.com?

Capterra.com is a leading platform where users explore, compare, and review software across thousands of categories like CRM, project management, accounting, HR, marketing automation, and more. It’s a goldmine of information for businesses looking to analyze the software landscape, monitor competitors, or identify partnership opportunities. That’s where our automated Capterra scraping services come in—extracting key product data at scale, with accuracy and speed.

Key Data Fields Extracted from Capterra.com:

Product Name

Vendor Name

Product Description

Category

Pricing Details

Deployment Type (Cloud, On-Premise, etc.)

Features List

User Ratings and Reviews

Review Count and Score

Product URL and Website Links

This structured data can be delivered in your preferred format—CSV, Excel, JSON, or directly into your CRM or BI tool.

Benefits of Capterra Product Details Extraction

✅ Competitive Intelligence

Track your competitors' positioning, pricing, features, and user sentiment. Understand where you stand and how to differentiate your product more effectively.

✅ Lead Generation and Market Research

Identify new software vendors and solutions within specific categories or regions. Perfect for consultants and analysts seeking data-driven insights.

✅ SaaS Product Comparison

If you run a product comparison site or software review platform, you can enrich your database with verified, regularly updated listings from Capterra.

✅ Content Strategy

Use extracted reviews, features, and product overviews to create detailed blog posts, product comparisons, and buyer guides.

✅ Business Development

Target emerging or established vendors for partnerships, integrations, or channel sales opportunities using real-time insights from Capterra.

Why Choose DataScrapingServices.com?

Custom Scraping Solutions: Tailored to your needs—whether you want to track only one category or extract data across all Capterra listings.

Real-time or scheduled extraction: Receive updated data on a daily, weekly, or monthly basis—whenever you need it.

Accurate and Clean Data: We ensure the scraped data is deduplicated, validated, and formatted for immediate use.

Compliant and Ethical Practices: We follow best practices and adhere to web scraping guidelines and data privacy laws.

Best eCommerce Data Scraping Services Provider

Macys.com Product Listings Scraping

Scraping Argos.co.uk Home and Furniture Product Listings

Coles.com.au Product Information Extraction

Extracting Product Details from eBay.de

Scraping Currys.co.uk Product Listings

Target.com Product Prices Extraction

Wildberries.ru Product Price Scraping

Extracting Product Data from Otto.de

Extracting Amazon Product Listings

Extracting Product Details from BigW.com.au

Best Capterra Product Details Extraction Services in USA:

Fort Worth, Washington, Orlando, Mesa, Indianapolis, Long Beach, Denver, Fresno, Bakersfield, Atlanta, Austin, Houston, San Jose, Tulsa, Omaha, Philadelphia, Louisville, Chicago, San Francisco, Colorado, Wichita, San Antonio, Fresno, Long Beach, New Orleans, Oklahoma City, Raleigh, Seattle, Memphis, Sacramento, Virginia Beach, Columbus, Jacksonville, Las Vegas, El Paso, Charlotte, Milwaukee, Sacramento, Dallas, Nashville, Boston, Tucson and New York.

Final Thoughts

Scraping product details from Capterra.com empowers your business with valuable market intelligence that manual methods simply can't deliver. Whether you’re streamlining competitive analysis, fueling lead generation, or enriching your SaaS insights, DataScrapingServices.com is your trusted partner.

📧 Get in touch today: info@datascrapingservices.com🌐 Visit us at: Datascrapingservices.com

Let’s transform Capterra data into your next competitive advantage.

[webscrapingservicescompany]

Web scraping for effective price comparison is a powerful tool for collecting updated information from stores and locations. Advanced scraping tools can help handle data volumes and maintain ethical procedures to avoid legal consequences.

Using web scraping helps learn more complex patterns and relationships with user behavior, leading to more accurate and practical recommendations.

[ftgtrhy654h6]

Unlock the Full Potential of Web Data with ProxyVault’s Datacenter Proxy API

In the age of data-driven decision-making, having reliable, fast, and anonymous access to web resources is no longer optional—it's essential. ProxyVault delivers a cutting-edge solution through its premium residential, datacenter, and rotating proxies, equipped with full HTTP and SOCKS5 support. Whether you're a data scientist, SEO strategist, or enterprise-scale scraper, our platform empowers your projects with a secure and unlimited Proxy API designed for scalability, speed, and anonymity. In this article, we focus on one of the most critical assets in our suite: the datacenter proxy API.

What Is a Datacenter Proxy API and Why It Matters

A datacenter proxy API provides programmatic access to a vast pool of high-speed IP addresses hosted in data centers. Unlike residential proxies that rely on real-user IPs, datacenter proxies are not affiliated with Internet Service Providers (ISPs). This distinction makes them ideal for large-scale operations such as:

Web scraping at volume

Competitive pricing analysis

SEO keyword rank tracking

Traffic simulation and testing

Market intelligence gathering

With ProxyVault’s datacenter proxy API, you get lightning-fast response times, bulk IP rotation, and zero usage restrictions, enabling seamless automation and data extraction at any scale.

Ultra-Fast and Scalable Infrastructure

One of the hallmarks of ProxyVault’s platform is speed. Our datacenter proxy API leverages ultra-reliable servers hosted in high-bandwidth facilities worldwide. This ensures your requests experience minimal latency, even during high-volume data retrieval.

Dedicated infrastructure guarantees consistent uptime

Optimized routing minimizes request delays

Low ping times make real-time scraping and crawling more efficient

Whether you're pulling hundreds or millions of records, our system handles the load without breaking a sweat.

Unlimited Access with Full HTTP and SOCKS5 Support

Our proxy API supports both HTTP and SOCKS5 protocols, offering flexibility for various application environments. Whether you're managing browser-based scraping tools, automated crawlers, or internal dashboards, ProxyVault’s datacenter proxy API integrates seamlessly.

HTTP support is ideal for most standard scraping tools and analytics platforms

SOCKS5 enables deep integration for software requiring full network access, including P2P and FTP operations

This dual-protocol compatibility ensures that no matter your toolset or tech stack, ProxyVault works right out of the box.

Built for SEO, Web Scraping, and Data Mining

Modern businesses rely heavily on data for strategy and operations. ProxyVault’s datacenter proxy API is custom-built for the most demanding use cases:

SEO Ranking and SERP Monitoring

For marketers and SEO professionals, tracking keyword rankings across different locations is critical. Our proxies support geo-targeting, allowing you to simulate searches from specific countries or cities.

Track competitor rankings

Monitor ad placements

Analyze local search visibility

The proxy API ensures automated scripts can run 24/7 without IP bans or CAPTCHAs interfering.

Web Scraping at Scale

From eCommerce sites to travel platforms, web scraping provides invaluable insights. Our rotating datacenter proxies change IPs dynamically, reducing the risk of detection.

Scrape millions of pages without throttling

Bypass rate limits with intelligent IP rotation

Automate large-scale data pulls securely

Data Mining for Enterprise Intelligence

Enterprises use data mining for trend analysis, market research, and customer insights. Our infrastructure supports long sessions, persistent connections, and high concurrency, making ProxyVault a preferred choice for advanced data extraction pipelines.

Advanced Features with Complete Control

ProxyVault offers a powerful suite of controls through its datacenter proxy API, putting you in command of your operations:

Unlimited bandwidth and no request limits

Country and city-level filtering

Sticky sessions for consistent identity

Real-time usage statistics and monitoring

Secure authentication using API tokens or IP whitelisting

These features ensure that your scraping or data-gathering processes are as precise as they are powerful.

Privacy-First, Log-Free Architecture

We take user privacy seriously. ProxyVault operates on a strict no-logs policy, ensuring that your requests are never stored or monitored. All communications are encrypted, and our servers are secured using industry best practices.

Zero tracking of API requests

Anonymity by design

GDPR and CCPA-compliant

This gives you the confidence to deploy large-scale operations without compromising your company’s or clients' data.

Enterprise-Level Support and Reliability

We understand that mission-critical projects demand not just great tools but also reliable support. ProxyVault offers:

24/7 technical support

Dedicated account managers for enterprise clients

Custom SLAs and deployment options

Whether you need integration help or technical advice, our experts are always on hand to assist.

Why Choose ProxyVault for Your Datacenter Proxy API Needs

Choosing the right proxy provider can be the difference between success and failure in data operations. ProxyVault delivers:

High-speed datacenter IPs optimized for web scraping and automation

Fully customizable proxy API with extensive documentation

No limitations on bandwidth, concurrent threads, or request volume

Granular location targeting for more accurate insights

Proactive support and security-first infrastructure

We’ve designed our datacenter proxy API to be robust, reliable, and scalable—ready to meet the needs of modern businesses across all industries.

Get Started with ProxyVault Today

If you’re ready to take your data operations to the next level, ProxyVault offers the most reliable and scalable datacenter proxy API on the market. Whether you're scraping, monitoring, mining, or optimizing, our solution ensures your work is fast, anonymous, and unrestricted.

Start your free trial today and experience the performance that ProxyVault delivers to thousands of users around the globe.

[retailgators]

7 Competitive Intelligence Benefits for e-Commerce Business

E-commerce businesses are used to gathering and analyzing data. This is one of the reasons why they are willing to pay more for analytics software than others.

But what about competitors? How do you know if you are doing better than your rivals? Gathering competitive intelligence is the key to boosting sellers' ROI. It helps you understand your customers, competitors, and the marketplace as a whole. It is a meaningful way to stay one step ahead of the competition.

What Is Competitive Intelligence In E-Commerce?

Competitive intelligence is collecting and using information about your competition to your advantage. It might sound like spying, but it is a prevalent practice used by all companies — even yours!

You can learn from your competitors' successes and mistakes. If you know what they are doing right, you can replicate their success in your own business. And if they're making mistakes, you can avoid them. If you are not already using competitive intelligence, it's time to start. Here are a few reasons why.

[web-scraping-tutorial-blog]

How to scrape price form Beauty Expert

Beauty Expert is an e-commerce platform focusing on beauty and skin care. With its rich product variety, brand selection and shopping experience, it provides consumers with a convenient shopping channel.

Introduction to the scraping tool

ScrapeStorm is a new generation of Web Scraping Tool based on artificial intelligence technology. It is the first scraper to support both Windows, Mac and Linux operating systems.

Preview of the scraped result

This is the demo task:

Google Drive:

OneDrive:

1. Create a task

(2) Create a new smart mode task

You can create a new scraping task directly on the software, or you can create a task by importing rules.

How to create a smart mode task

2. Configure the scraping rules

Smart mode automatically detects the fields on the page. You can right-click the field to rename the name, add or delete fields, modify data, and so on.

3. Set up and start the scraping task

(1) Run settings

Choose your own needs, you can set Schedule, IP Rotation&Delay, Automatic Export, Download Images, Speed Boost, Data Deduplication and Developer.

4. Export and view data

(2) Choose the format to export according to your needs.

ScrapeStorm provides a variety of export methods to export locally, such as excel, csv, html, txt or database. Professional Plan and above users can also post directly to wordpress.

How to view data and clear data

[jcmarchi]

Alarming rise in AI-powered scams: Microsoft reveals $4 Billion in thwarted fraud

New Post has been published on https://thedigitalinsider.com/alarming-rise-in-ai-powered-scams-microsoft-reveals-4-billion-in-thwarted-fraud/

Alarming rise in AI-powered scams: Microsoft reveals $4 Billion in thwarted fraud

AI-powered scams are evolving rapidly as cybercriminals use new technologies to target victims, according to Microsoft’s latestCyber Signals report.

Over the past year, the tech giant says it has prevented $4 billion in fraud attempts, blocking approximately 1.6 million bot sign-up attempts every hour – showing the scale of this growing threat.

The ninth edition of Microsoft’s Cyber Signals report, titled “AI-powered deception: Emerging fraud threats and countermeasures,” reveals how artificial intelligence has lowered the technical barriers for cybercriminals, enabling even low-skilled actors to generate sophisticated scams with minimal effort.

What previously took scammers days or weeks to create can now be accomplished in minutes.

The democratisation of fraud capabilities represents a shift in the criminal landscape that affects consumers and businesses worldwide.

The evolution of AI-enhanced cyber scams

Microsoft’s report highlights how AI tools can now scan and scrape the web for company information, helping cybercriminals build detailed profiles of potential targets for highly-convincing social engineering attacks.

Bad actors can lure victims into complex fraud schemes using fake AI-enhanced product reviews and AI-generated storefronts, which come complete with fabricated business histories and customer testimonials.

According to Kelly Bissell, Corporate Vice President of Anti-Fraud and Product Abuse at Microsoft Security, the threat numbers continue to increase. “Cybercrime is a trillion-dollar problem, and it’s been going up every year for the past 30 years,” per the report.

“I think we have an opportunity today to adopt AI faster so we can detect and close the gap of exposure quickly. Now we have AI that can make a difference at scale and help us build security and fraud protections into our products much faster.”

The Microsoft anti-fraud team reports that AI-powered fraud attacks happen globally, with significant activity originating from China and Europe – particularly Germany, due to its status as one of the largest e-commerce markets in the European Union.

The report notes that the larger a digital marketplace is, the more likely a proportional degree of attempted fraud will occur.

E-commerce and employment scams leading

Two particularly concerning areas of AI-enhanced fraud include e-commerce and job recruitment scams.In the ecommerce space, fraudulent websites can now be created in minutes using AI tools with minimal technical knowledge.

Sites often mimic legitimate businesses, using AI-generated product descriptions, images, and customer reviews to fool consumers into believing they’re interacting with genuine merchants.

Adding another layer of deception, AI-powered customer service chatbots can interact convincingly with customers, delay chargebacks by stalling with scripted excuses, and manipulate complaints with AI-generated responses that make scam sites appear professional.

Job seekers are equally at risk. According to the report, generative AI has made it significantly easier for scammers to create fake listings on various employment platforms. Criminals generate fake profiles with stolen credentials, fake job postings with auto-generated descriptions, and AI-powered email campaigns to phish job seekers.

AI-powered interviews and automated emails enhance the credibility of these scams, making them harder to identify. “Fraudsters often ask for personal information, like resumes or even bank account details, under the guise of verifying the applicant’s information,” the report says.

Red flags include unsolicited job offers, requests for payment and communication through informal platforms like text messages or WhatsApp.

Microsoft’s countermeasures to AI fraud

To combat emerging threats, Microsoft says it has implemented a multi-pronged approach across its products and services. Microsoft Defender for Cloud provides threat protection for Azure resources, while Microsoft Edge, like many browsers, features website typo protection and domain impersonation protection. Edge is noted by the Microsoft report as using deep learning technology to help users avoid fraudulent websites.

The company has also enhanced Windows Quick Assist with warning messages to alert users about possible tech support scams before they grant access to someone claiming to be from IT support. Microsoft now blocks an average of 4,415 suspicious Quick Assist connection attempts daily.

Microsoft has also introduced a new fraud prevention policy as part of its Secure Future Initiative (SFI). As of January 2025, Microsoft product teams must perform fraud prevention assessments and implement fraud controls as part of their design process, ensuring products are “fraud-resistant by design.”

As AI-powered scams continue to evolve, consumer awareness remains important. Microsoft advises users to be cautious of urgency tactics, verify website legitimacy before making purchases, and never provide personal or financial information to unverified sources.

For enterprises, implementing multi-factor authentication and deploying deepfake-detection algorithms can help mitigate risk.

See also: Wozniak warns AI will power next-gen scams

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

[catchexperts]

Web Scraping 101: Everything You Need to Know in 2025

🕸️ What Is Web Scraping? An Introduction

Web scraping—also referred to as web data extraction—is the process of collecting structured information from websites using automated scripts or tools. Initially driven by simple scripts, it has now evolved into a core component of modern data strategies for competitive research, price monitoring, SEO, market intelligence, and more.

If you’re wondering “What is the introduction of web scraping?” — it’s this: the ability to turn unstructured web content into organized datasets businesses can use to make smarter, faster decisions.

💡 What Is Web Scraping Used For?

Businesses and developers alike use web scraping to:

Monitor competitors’ pricing and SEO rankings

Extract leads from directories or online marketplaces

Track product listings, reviews, and inventory

Aggregate news, blogs, and social content for trend analysis

Fuel AI models with large datasets from the open web

Whether it’s web scraping using Python, browser-based tools, or cloud APIs, the use cases are growing fast across marketing, research, and automation.

🔍 Examples of Web Scraping in Action

What is an example of web scraping?

A real estate firm scrapes listing data (price, location, features) from property websites to build a market dashboard.

An eCommerce brand scrapes competitor prices daily to adjust its own pricing in real time.

A SaaS company uses BeautifulSoup in Python to extract product reviews and social proof for sentiment analysis.

For many, web scraping is the first step in automating decision-making and building data pipelines for BI platforms.

⚖️ Is Web Scraping Legal?

Yes—if done ethically and responsibly. While scraping public data is legal in many jurisdictions, scraping private, gated, or copyrighted content can lead to violations.

To stay compliant:

Respect robots.txt rules

Avoid scraping personal or sensitive data

Prefer API access where possible

Follow website terms of service

If you’re wondering “Is web scraping legal?”—the answer lies in how you scrape and what you scrape.

🧠 Web Scraping with Python: Tools & Libraries

What is web scraping in Python? Python is the most popular language for scraping because of its ease of use and strong ecosystem.

Popular Python libraries for web scraping include:

BeautifulSoup – simple and effective for HTML parsing

Requests – handles HTTP requests

Selenium – ideal for dynamic JavaScript-heavy pages

Scrapy – robust framework for large-scale scraping projects

Puppeteer (via Node.js) – for advanced browser emulation

These tools are often used in tutorials like “Web scraping using Python BeautifulSoup” or “Python web scraping library for beginners.”

⚙️ DIY vs. Managed Web Scraping

You can choose between:

DIY scraping: Full control, requires dev resources

Managed scraping: Outsourced to experts, ideal for scale or non-technical teams

Use managed scraping services for large-scale needs, or build Python-based scrapers for targeted projects using frameworks and libraries mentioned above.

🚧 Challenges in Web Scraping (and How to Overcome Them)

Modern websites often include:

JavaScript rendering

CAPTCHA protection

Rate limiting and dynamic loading

To solve this:

Use rotating proxies

Implement headless browsers like Selenium

Leverage AI-powered scraping for content variation and structure detection

Deploy scrapers on cloud platforms using containers (e.g., Docker + AWS)

🔐 Ethical and Legal Best Practices

Scraping must balance business innovation with user privacy and legal integrity. Ethical scraping includes:

Minimal server load

Clear attribution

Honoring opt-out mechanisms

This ensures long-term scalability and compliance for enterprise-grade web scraping systems.

🔮 The Future of Web Scraping

As demand for real-time analytics and AI training data grows, scraping is becoming:

Smarter (AI-enhanced)

Faster (real-time extraction)

Scalable (cloud-native deployments)

From developers using BeautifulSoup or Scrapy, to businesses leveraging API-fed dashboards, web scraping is central to turning online information into strategic insights.

📘 Summary: Web Scraping 101 in 2025

Web scraping in 2025 is the automated collection of website data, widely used for SEO monitoring, price tracking, lead generation, and competitive research. It relies on powerful tools like BeautifulSoup, Selenium, and Scrapy, especially within Python environments. While scraping publicly available data is generally legal, it's crucial to follow website terms of service and ethical guidelines to avoid compliance issues. Despite challenges like dynamic content and anti-scraping defenses, the use of AI and cloud-based infrastructure is making web scraping smarter, faster, and more scalable than ever—transforming it into a cornerstone of modern data strategies.

🔗 Want to Build or Scale Your AI-Powered Scraping Strategy?

Whether you're exploring AI-driven tools, training models on web data, or integrating smart automation into your data workflows—AI is transforming how web scraping works at scale.

👉 Find AI Agencies specialized in intelligent web scraping on Catch Experts,

📲 Stay connected for the latest in AI, data automation, and scraping innovation:

💼 LinkedIn

🐦 Twitter

📸 Instagram

👍 Facebook

▶️ YouTube

[actowizsolutions0]

Scrape Product Info, Images & Brand Data from E-commerce | Actowiz

Introduction

In today’s data-driven world, e-commerce product data scraping is a game-changer for businesses looking to stay competitive. Whether you're tracking prices, analyzing trends, or launching a comparison engine, access to clean and structured product data is essential. This article explores how Actowiz Solutions helps businesses scrape product information, images, and brand details from e-commerce websites with precision, scalability, and compliance.

Why Scraping E-commerce Product Data Matters

E-commerce platforms like Amazon, Walmart, Flipkart, and eBay host millions of products. For retailers, manufacturers, market analysts, and entrepreneurs, having access to this massive product data offers several advantages:

- Price Monitoring: Track competitors’ prices and adjust your pricing strategy in real-time.

- Product Intelligence: Gain insights into product listings, specs, availability, and user reviews.

- Brand Visibility: Analyze how different brands are performing across marketplaces.

- Trend Forecasting: Identify emerging products and customer preferences early.

- Catalog Management: Automate and update your own product listings with accurate data.

With Actowiz Solutions’ eCommerce data scraping services, companies can harness these insights at scale, enabling smarter decision-making across departments.

What Product Data Can Be Scraped?

When scraping an e-commerce website, here are the common data fields that can be extracted:

✅ Product Information

Product name/title

Description

Category hierarchy

Product specifications

SKU/Item ID

Price (Original/Discounted)

Availability/Stock status

Ratings & reviews

✅ Product Images

Thumbnail URLs

High-resolution images

Zoom-in versions

Alternate views or angle shots

✅ Brand Details

Brand name

Brand logo (if available)

Brand-specific product pages

Brand popularity metrics (ratings, number of listings)

By extracting this data from platforms like Amazon, Walmart, Target, Flipkart, Shopee, AliExpress, and more, Actowiz Solutions helps clients optimize product strategy and boost performance.

Challenges of Scraping E-commerce Sites

While the idea of gathering product data sounds simple, it presents several technical challenges:

Dynamic Content: Many e-commerce platforms load content using JavaScript or AJAX.

Anti-bot Mechanisms: Rate-limiting, captchas, IP blocking, and login requirements are common.

Frequent Layout Changes: E-commerce sites frequently update their front-end structure.

Pagination & Infinite Scroll: Handling product listings across pages requires precise navigation.

Image Extraction: Downloading, renaming, and storing image files efficiently can be resource-intensive.

To overcome these challenges, Actowiz Solutions utilizes advanced scraping infrastructure and intelligent algorithms to ensure high accuracy and efficiency.

Step-by-Step: How Actowiz Solutions Scrapes E-commerce Product Data

Let’s walk through the process that Actowiz Solutions follows to scrape and deliver clean, structured, and actionable e-commerce data:

1. Define Requirements

The first step involves understanding the client’s specific data needs:

Target websites

Product categories

Required data fields

Update frequency (daily, weekly, real-time)

Preferred data delivery formats (CSV, JSON, API)

2. Website Analysis & Strategy Design

Our technical team audits the website’s structure, dynamic loading patterns, pagination system, and anti-bot defenses to design a customized scraping strategy.

3. Crawler Development

We create dedicated web crawlers or bots using tools like Python, Scrapy, Playwright, or Puppeteer to extract product listings, details, and associated metadata.

4. Image Scraping & Storage

Our bots download product images, assign them appropriate filenames (using SKU or product title), and store them in cloud storage like AWS S3 or GDrive. Image URLs can also be returned in the dataset.

5. Brand Attribution

Products are mapped to brand names by parsing brand tags, logos, and using NLP-based classification. This helps clients build brand-level dashboards.

6. Data Cleansing & Validation

We apply validation rules, deduplication, and anomaly detection to ensure only accurate and up-to-date data is delivered.

7. Data Delivery

Data can be delivered via:

REST APIs

S3 buckets or FTP

Google Sheets/Excel

Dashboard integration

All data is made ready for ingestion into CRMs, ERPs, or BI tools.

Supported E-Commerce Platforms

Actowiz Solutions supports product data scraping from a wide range of international and regional e-commerce websites, including:

Amazon

Walmart

Target

eBay

AliExpress

Flipkart

BigCommerce

Magento

Rakuten

Etsy

Lazada

Wayfair

JD.com

Shopify-powered sites

Whether you're focused on electronics, fashion, grocery, automotive, or home décor, Actowiz can help you extract relevant product and brand data with precision.

Use Cases: How Businesses Use Scraped Product Data

Retailers

Compare prices across platforms to remain competitive and win the buy-box.

🧾 Price Aggregators

Fuel price comparison engines with fresh, accurate product listings.

📈 Market Analysts

Study trends across product categories and brands.

🎯 Brands

Monitor third-party sellers, counterfeit listings, or unauthorized resellers.

🛒 E-commerce Startups

Build initial catalogs quickly by extracting competitor data.

📦 Inventory Managers

Sync product stock and images with supplier portals.

Actowiz Solutions tailors the scraping strategy according to the use case and delivers the highest ROI on data investment.

Benefits of Choosing Actowiz Solutions

✅ Scalable Infrastructure

Scrape millions of products across multiple websites simultaneously.

✅ IP Rotation & Anti-Bot Handling

Bypass captchas, rate-limiting, and geolocation barriers with smart proxies and user-agent rotation.

✅ Near Real-Time Updates

Get fresh data updated daily or in real-time via APIs.

✅ Customization & Flexibility

Select your data points, target pages, and preferred delivery formats.

✅ Compliance-First Approach

We follow strict guidelines and ensure scraping methods respect site policies and data usage norms.

Security and Legal Considerations

Actowiz Solutions emphasizes ethical scraping practices and ensures compliance with data protection laws such as GDPR, CCPA, and local regulations. Additionally:

Only publicly available data is extracted.

No login-restricted or paywalled content is accessed without consent.

Clients are guided on proper usage and legal responsibility for the scraped data.

Frequently Asked Questions

❓ Can I scrape product images in high resolution?

Yes. Actowiz Solutions can extract multiple image formats, including zoomable HD product images and thumbnails.

��� How frequently can data be updated?

Depending on the platform, we support real-time, hourly, daily, or weekly updates.

❓ Can I scrape multiple marketplaces at once?

Absolutely. We can design multi-site crawlers that collect and consolidate product data across platforms.

❓ Is scraped data compatible with Shopify or WooCommerce?

Yes, we can deliver plug-and-play formats for Shopify, Magento, WooCommerce, and more.

❓ What if a website structure changes?

We monitor site changes proactively and update crawlers to ensure uninterrupted data flow.

Final Thoughts

Scraping product data from e-commerce websites unlocks a new layer of market intelligence that fuels decision-making, automation, and competitive strategy. Whether it’s tracking competitor pricing, enriching your product catalog, or analyzing brand visibility — the possibilities are endless.

Actowiz Solutions brings deep expertise, powerful infrastructure, and a client-centric approach to help businesses extract product info, images, and brand data from e-commerce platforms effortlessly. Learn More

[vaguelymellowharmony]

AI & Machine Learning | Quick Commerce Data Scraping Role

Introduction

The rise of Quick Commerce (Q-Commerce) has transformed the way businesses manage inventory, pricing, and customer demands. With ultra-fast delivery expectations from platforms like Blinkit, Instacart, Getir, Swiggy Instamart, and Gorillas, businesses need real-time, data-driven insights to stay ahead. AI (Artificial Intelligence) and ML (Machine Learning) are revolutionizing data scraping for quick commerce by automating processes, enhancing accuracy, and providing predictive insights.

Retail Scrape, a leader in AI-driven web and mobile app scraping, enables businesses to extract valuable data to optimize pricing, monitor stock availability, and analyze market trends. This blog explores how AI & ML are reshaping Quick Commerce Data Scraping to drive smarter business decisions.

Why AI & ML are Crucial for Quick Commerce Scraping

Automating Data Extraction

Handling CAPTCHA & Anti-Bot Protections

Predicting Pricing & Demand Trends

Processing Large-Scale Data Efficiently

Ensuring High Data Accuracy

How AI & ML Enhance Quick Commerce Data Scraping

1. AI-Driven Dynamic Pricing Scraping

2. Machine Learning for Inventory Tracking

3. AI-Powered Competitor Analysis

4. ML-Driven Sentiment Analysis for Customer Insights

Challenges in AI-Powered Quick Commerce Scraping & Solutions

AI-powered solutions help overcome key web scraping challenges. When websites change structure often, machine learning scrapers adapt automatically. For tough anti-scraping tools like CAPTCHAs and bot detection, AI uses rotating proxies and human-like interactions. Real-time pricing and stock changes are tracked using scheduled scrapers.

Geo-blocked deals and personalized offers are accessed with geo-targeted proxies and behavior replication. Large data volumes and API limits are handled with request throttling and cloud-based AI scraping. AI also cleans messy data using NLP to turn raw HTML into insights. Finally, data from web, mobile, and APIs is unified using AI tools that merge different formats like JSON and CSV.

Industries Benefiting from AI & ML in Quick Commerce Scraping

1. eCommerce & Retail

2. FMCG & Grocery Brands

3. Market Research & Analytics Firms

4. Logistics & Supply Chain Companies

How Retail Scrape Leverages AI & ML for Data Scraping

Retail Scrape provides AI-driven Quick Commerce Data Scraping Solutions to help businesses harness actionable insights. Our offerings include:

1. Automated Web & Mobile App Scraping for Quick Commerce Data.

2. Competitor Price & Inventory Tracking with AI-Powered Analysis.

3. Real-Time Data Extraction & API Integration.

4. Custom Dashboards for Data Visualization & Predictive Insights.

Conclusion

AI and ML are transforming Quick Commerce Data Scraping by enabling businesses to make smarter, data-driven decisions. With the rapid evolution of Blinkit, Getir, Instacart, and Swiggy Instamart, leveraging AI-powered scraping ensures businesses stay ahead of competitors.

With Retail Scrape’s AI-driven solutions, companies can efficiently extract, analyze, and utilize real-time pricing, inventory, and market insights for growth and profitability.

Looking to integrate AI-powered Quick Commerce Scraping? Contact Retail Scrape today for cutting-edge data extraction solutions!

Read more >>https://www.retailscrape.com/ai-machine-learning-quick-commerce-data-scraping.php

officially published by https://www.retailscrape.com/.

[datascraping001]

Unlock Competitive Retail Insights with Kohls.com Product Information Scraping

Unlock Competitive Retail Insights with Kohls.com Product Information Scraping

In the rapidly evolving landscape of online retail, staying ahead means having access to accurate, up-to-date product information at all times. Kohls.com, one of the largest department store chains in the United States, offers a vast catalog of apparel, home goods, electronics, beauty products, and more. Businesses looking to remain competitive can gain a significant edge by extracting structured data from Kohls.com through automated web scraping solutions.

At DataScrapingServices.com, we provide customized Kohls.com Product Information Scraping Services that empower eCommerce businesses, market analysts, and retailers with clean, real-time, and ready-to-use data.

🛍️ Why Scrape Product Data from Kohls.com?

As Kohl's continues to expand its digital presence, extracting product-level information can help businesses monitor market trends, perform competitive analysis, optimize product pricing, and enhance inventory decisions. Whether you're tracking competitor strategies or building your own retail database, scraping Kohls.com offers an efficient and scalable way to keep your product data relevant and actionable.

🗂️ Key Data Fields Extracted from Kohls.com

Our automated scraping tools are designed to capture a comprehensive range of product attributes from Kohls.com. Here are some of the key data fields we extract:

Product Name

Brand Name

SKU/Item Number

Product Category & Subcategory

Product Description

Regular Price & Discount Price

Product Availability (In-stock/Out-of-stock)

Customer Ratings & Review Count

Size, Color, and Variants

High-quality Product Images

This data can be delivered in multiple formats such as CSV, JSON, Excel, or via API feeds for seamless integration into your systems.

✅ Benefits of Kohls.com Product Scraping

1. Competitive Price Monitoring

Track pricing changes and promotional offers across categories, enabling you to fine-tune your pricing strategy in real time.

2. Product Trend Analysis

Stay informed about trending products, customer favorites, and new arrivals with accurate product insights pulled directly from Kohls.com.

3. Catalog Enrichment

Automatically populate your eCommerce store or aggregator platform with accurate, high-quality product data and images from a reliable source.

4. Inventory Optimization

Use stock availability data to make smarter purchasing and warehousing decisions, minimizing overstocking or missed sales opportunities.

5. Customer Sentiment Insights

Analyze product reviews and ratings to understand consumer preferences, identify top-performing products, and improve product offerings.

🧩 Who Can Benefit?

eCommerce Businesses – For catalog creation and dynamic pricing

Retail Aggregators – To collect and consolidate retail data efficiently

Market Researchers – To track product trends, pricing, and consumer sentiment

Digital Marketing Agencies – For targeted advertising and promotional strategies

Competitor Analysis Teams – To benchmark products and brand performance

🚀 Why Choose DataScrapingServices.com?

At DataScrapingServices.com, we specialize in accurate and scalable product data scraping solutions tailored to your unique business needs. Whether you require daily updates, real-time price tracking, or historical product data, our team ensures fast, secure, and reliable delivery of clean datasets that support better business decisions.

Best eCommerce Data Scraping Services Provider

Macys.com Product Listings Scraping

Scraping Argos.co.uk Home and Furniture Product Listings

Fashion Products Scraping from Gap.com

Scraping Currys.co.uk Product Listings

Target.com Product Prices Extraction

Amazon Price Data Extraction

Scraping Fashion Products from Namshi.com

Ozon.ru Product Listing Extraction Services

Extracting Product Details from eBay.de

Extracting Product Details from BigW.com.au

Best Kohls.com Product Information Scraping Services in USA:

Atlanta, Fort Worth, Washington, Orlando, Long Beach, Denver, Fresno, Bakersfield, Mesa, Indianapolis, Austin, Houston, San Jose, Tulsa, Philadelphia, Louisville, Chicago, San Francisco, Omaha, Wichita, San Antonio, Fresno, Long Beach, Colorado, New Orleans, Oklahoma City, Raleigh, Columbus, Jacksonville, Sacramento, Dallas, Las Vegas, El Paso, Charlotte, Milwaukee, Seattle, Memphis, Sacramento, Virginia Beach, Nashville, Boston, Tucson and New York.

📬 Get Started Today

Ready to power your retail insights with Kohls.com product data?

📧 Email us at: info@datascrapingservices.com🌐 Visit: Datascrapingservices.com

Transform raw product data into strategic insights with Kohls.com Product Information Scraping Services from DataScrapingServices.com.