Blockchain and web3

How to Use Web Scraping to Track AI Tool Performance Across Platforms

How to Use Web Scraping to Track AI Tool Performance Across Platforms

What is Web Scraping to Track AI Tool Performance and Why It Matters In today’s competitive tech world, businesses rely on real-time data analysis to measure success. Web Scraping to Track AI Tool Performance is the process of extracting structured information from multiple platforms to understand how AI tools perform in the market. By collecting reviews, ratings, and usage metrics, companies can see which tools meet user expectations and which fail to deliver. For the UK audience, this practice holds even more importance. With the rise of AI-driven IoT applications and secure mobile connectivity, organisations need accurate data to adapt strategies quickly. It matters because timely insights guide improvements, increase adoption, and help build trust in technology. Without it, companies risk falling behind faster-moving competitors. Key Benefits of Using Web Scraping to Track AI Tool Performance One of the biggest advantages of using IoT mobile app development alongside scraping is the ability to gather authentic user experiences. This improves user experience personalization and ensures developers can create more effective products. Businesses also gain access to metrics like download numbers, engagement rates, and performance scores. Another benefit is the power of data-driven decision making. Companies in the UK often depend on AI-driven IoT applications and IoT data collection and processing to stay ahead. With scraping, they can monitor both competitors and their own performance across platforms like G2 or Trustpilot. These insights allow firms to pivot strategies before problems escalate. Top Platforms Where Web Scraping to Track AI Tool Performance Can Be Applied Most users share opinions and feedback on platforms such as social media networks, review sites, and SaaS marketplaces. By applying Web Scraping to Track AI Tool Performance, organisations can collect valuable insights from Reddit, LinkedIn, and even specialised forums where professionals debate the merits of different AI tools. Other important sources include app stores, technology news websites, and Q&A platforms like Quora. These platforms capture real-time user concerns about IoT-enabled mobile apps, healthcare IoT solutions, and retail IoT personalization. Gathering such insights from multiple locations ensures no critical feedback is missed, leading to a more reliable performance evaluation. Step-by-Step Guide The first step is identifying where performance data is available. UK companies often target consumer IoT market channels, transportation and logistics IoT sites, and forums discussing IoT-powered fitness solutions. After this, developers select suitable frameworks like Scrapy or Selenium. Next, automation scripts extract information, which is cleaned and structured into usable formats. Businesses then use APIs and IoT protocols to integrate the data into dashboards. Once collected, the information is analysed using advanced models that track adoption, accuracy, and reliability. Visualisation tools like Tableau make complex insights easy to interpret. Best Tools for Web Scraping to Track AI Tool Performance Efficiently Python remains the backbone for scraping. Libraries like BeautifulSoup, Scrapy, and Selenium are widely used to gather data from dynamic sites. For teams without coding expertise, SaaS platforms like Octoparse and Apify provide ready-made scraping solutions that simplify IoT data collection and processing. More advanced setups include integrating scraping tools with cloud computing in IoT. This allows UK companies to scale data gathering without infrastructure limits. Combining hybrid app development and cross-platform IoT apps with these tools ensures continuous and efficient performance monitoring across devices and platforms. Common Challenges While scraping is powerful, it’s not without problems. Many websites deploy encryption and authentication measures that restrict access to their data. Navigating these requires smart use of proxies and ethical practices. Other challenges include managing security in IoT apps and avoiding conflicts with regulations like GDPR in the UK. Firms must also handle dynamic sites, complex voice-enabled IoT apps, and NFC and RFID connectivity while ensuring compliance and accuracy. Best Practices for Web Scraping to Track AI Tool Performance To overcome obstacles, businesses should always respect robots.txt and prioritise ethical scraping. Using APIs and IoT protocols where available reduces risks while still capturing valuable insights. Additionally, rotating proxies and validating scraped data prevents inaccuracies. Combining best practices with IoT-based automation and edge computing in IoT creates reliable pipelines that sustain performance tracking in the long term. Future Trends in Web Scraping to Track AI Tool Performance The future promises tighter integration of scraping with AI-driven IoT applications. Advanced models will allow predictive analysis, meaning businesses won’t just track performance but forecast changes. In the UK, IoT future trends like 5G-powered IoT apps, smart farming technologies, and automotive IoT integration will demand faster and more accurate scraping methods. This trend ensures real-time monitoring remains central to innovation and decision-making. How can DevPumas help you? At DevPumas, businesses find more than just a service provider. The team delivers tailored web scraping solutions designed to track AI tool performance across multiple platforms. From creating IoT-powered dashboards to automating scraping pipelines, every solution is built to support UK companies in staying ahead of market changes. With deep expertise in industrial IoT adoption, secure mobile connectivity, and IoT data collection and processing, DevPumas ensures compliance with UK and EU data regulations. By working with experts, businesses unlock consistent insights that drive growth, reduce risks, and improve user trust. FAQs Q1: What is Web Scraping to Track AI Tool Performance? A1: It’s the process of collecting online data to measure how AI tools perform across different platforms in real time. Q2: Why is Web Scraping important for tracking AI tools? A2: It provides insights into usage, efficiency, and trends, helping businesses optimise AI strategies effectively. Q3: Which platforms support Web Scraping to Track AI Tool Performance? A3: It works well on platforms like Google, LinkedIn, Twitter, GitHub, and AI marketplaces. Q4: What challenges come with Web Scraping to Track AI Tool Performance? A4: Key challenges include data accuracy, site restrictions, legal rules, and managing large-scale datasets. Q5: How can businesses use Web Scraping for AI tool improvement? A5: Companies use it to analyse trends, compare competitors, and enhance decision-making with real-time AI insights. Conclusion Web Scraping to Track AI Tool Performance has become an essential part of digital strategy. By gathering structured data,

How to Use Web Scraping to Track AI Tool Performance Across Platforms Read More »

What is Web Scraping? and How It Works in 2025

What is Web Scraping? and How It Works in 2025

Introduction In today’s digital economy, data is the fuel that drives smarter decisions. Businesses in the UK and worldwide rely on Web Scraping to collect real-time insights, improve performance, and stay ahead of competitors. This process has moved far beyond simple bots. In 2025, it combines AI-driven automation, real-time data analysis, and cloud computing to deliver information at scale. By understanding how Web Scraping works and how it can be applied across industries, companies gain a sharper competitive edge, stronger customer connections, and more efficient operations. What is Web Scraping? Web Scraping is the process of extracting structured information from websites automatically, instead of doing it manually. The technique allows businesses to collect data on products, services, competitors, or customer reviews and then turn it into actionable knowledge. Unlike using APIs, which require permission, scraping works even when no official access exists. It has become essential because organisations depend on IoT data collection and processing, secure mobile connectivity, and real-time data analysis to understand consumer behaviour. In 2025, the ability to scrape data at scale and combine it with AI-driven IoT applications is reshaping industries. Key Benefits of Web Scraping for Businesses The biggest benefit of Web Scraping is its ability to save time and resources. Instead of manually gathering thousands of pieces of data, a scraper automates the process and delivers results in seconds. For UK businesses, this means better market research, more accurate financial predictions, and improved data-driven decision making. It also provides personalized mobile experiences, stronger retail IoT personalization, and deeper insights into consumer needs. For example, an e-commerce brand can track competitor pricing daily, while a financial firm can monitor stock fluctuations instantly. The outcome is faster reactions, smarter strategies, and improved profitability. How Do Web Scrapers Work in Practice? A scraper doesn’t just copy text from a website. It follows a sequence of steps that make the data clean, structured, and useful. The process starts with crawling web pages, extracting the required content, parsing it into structured formats like JSON or CSV, and then storing it in a database. Modern scrapers in 2025 use edge computing in IoT, encryption and authentication, and advanced APIs and IoT protocols to make the process faster and more secure. They also integrate with cloud computing in IoT to deliver large volumes of information in real time. Different Types of Web Scrapers Explained There are many types of scrapers available, each built for specific needs. Browser-based scrapers are simple tools that extract information directly from web pages. Cloud-based scrapers are more advanced and allow users to scale data collection without worrying about hardware limits. Custom-built bots are developed for highly specific projects like scraping agriculture IoT applications or supply chain optimization data. Another important category is hybrid app development scrapers, which run smoothly across platforms and integrate with cross-platform IoT apps. Each type offers unique strengths, and the choice depends on the complexity and size of the project. Common Use Cases of Web Scraping in Real Life The applications of Web Scraping go beyond simple research. Retailers use it to monitor competitors, hotels use it to adjust pricing dynamically, and farmers rely on smart farming technologies to track agricultural data. Healthcare providers employ IoT in healthcare (IoMT) to collect patient information, while car manufacturers use automotive IoT integration to improve vehicle performance. In the UK, transportation and logistics IoT depends heavily on scraping for telematics and navigation systems, ensuring routes are optimised. Businesses across finance, education, and travel also integrate scraping to strengthen IoT-based automation and gain an edge in rapidly changing markets. Best Tools and Technologies for Web Scraping The market offers both free and paid scraping tools. Popular frameworks like BeautifulSoup, Scrapy, and Puppeteer remain highly reliable for developers. On the other hand, commercial platforms such as Octoparse and ParseHub simplify scraping with user-friendly interfaces. To compare different tools, consider their scalability, pricing, and features. Tool Type Best Use Case BeautifulSoup Open-source Small-scale scraping with flexible coding Scrapy Open-source Large-scale data collection Puppeteer Open-source Rendering JavaScript-heavy sites Octoparse Paid Non-developers who need easy UI ParseHub Paid Cross-platform scraping with visual interface Challenges and Limitations of Web Scraping While Web Scraping offers endless opportunities, it comes with challenges. Many websites use anti-bot technology, CAPTCHAs, and IP blocking to prevent scraping. This makes automation harder unless businesses invest in advanced solutions like NFC and RFID connectivity or rotating proxies. Legal and ethical issues are another limitation. Companies must respect data privacy and follow compliance laws. Poor data quality, duplication, and lack of accuracy are also common problems. Without proper cleaning, scraped information can lead to wrong decisions. Future of Web Scraping with AI and Automation The future of Web Scraping is tied to AI-driven IoT applications and automation. Instead of collecting raw data, scrapers in 2025 are able to interpret patterns, detect consumer sentiment, and predict future trends using machine learning. Voice-enabled IoT apps, retail IoT personalization, and IoT-powered fitness solutions will all rely on automated scrapers. With the growth of 5G-powered IoT apps, data collection will be faster and more reliable, opening new opportunities for businesses worldwide. How can DevPumas help you? At DevPumas, businesses in the UK can access tailored Web Scraping services designed for efficiency and compliance. The team builds custom scrapers, integrates with IoT mobile app development, and provides solutions for e-commerce automation, healthcare IoT solutions, and supply chain optimization. By combining expertise in AI-driven IoT applications and secure mobile connectivity, DevPumas ensures that data collection is seamless, accurate, and future-ready. This allows businesses to focus on strategy while the heavy lifting of data extraction is handled with precision. FAQs 1. Is web scraping legal in the UK? Web scraping is legal if the data is public and not protected by copyright or login barriers. Always respect website terms and privacy laws to stay compliant. 2. What are the main benefits of web scraping for businesses? The biggest benefits are saving time, cutting costs, and getting real-time insights. It helps with price monitoring, market research,

What is Web Scraping? and How It Works in 2025 Read More »

Decentralized Autonomous Organization

Decentralized Autonomous Organizations (DAOs): Governance in 2025

Introduction: The Evolution of DAOs Governance in 2025 Decentralized Autonomous Organizations (DAOs) have emerged as a transformative force in digital governance. By leveraging blockchain technology and smart contracts, DAOs empower communities to make collective decisions without relying on traditional hierarchical structures. In DAOs governance in 2025, these organizations have advanced beyond their early experimental stages to become robust frameworks for managing decentralized ecosystems. From decentralized finance (DeFi) platforms to NFT communities and even social initiatives, DAOs are redefining how groups collaborate and make decisions. This article explores how DAOs are evolving, their benefits and challenges, and their potential to reshape governance models across industries. 1. What are Decentralized Autonomous Organizations? DAOs are blockchain-based organizations governed by smart contracts that execute decisions based on pre-programmed rules. Unlike traditional organizations with central leadership, DAOs operate on decentralized, community-driven principles. Key Characteristics of DAOs: Decentralization: Power is distributed among token holders rather than centralized in a single entity. Autonomy: Smart contracts automate governance processes, reducing the need for intermediaries. Transparency: Blockchain ensures that all decisions and transactions are recorded immutably. In DAOs governance in 2025, these principles are being refined to create more scalable, secure, and inclusive systems. 2. How DAOs Work: The Foundations of Decentralized Governance The operational framework of DAOs includes: 2.1 Smart Contracts These are self-executing contracts on the blockchain that encode organizational rules. They automate processes like voting and fund allocation. 2.2 Token-Based Voting DAO members hold governance tokens, which they use to vote on proposals. The weight of each vote is often proportional to the number of tokens held. 2.3 Treasury Management DAOs manage their funds collectively, often through multi-signature wallets, ensuring transparency and accountability. 3. Benefits of DAO Governance in 2025 3.1 Enhanced Transparency Blockchain technology ensures that every decision is publicly recorded and auditable, building trust among members. 3.2 Inclusive Decision-Making DAOs give voice to all stakeholders, enabling communities to shape their organizations democratically. 3.3 Global Collaboration DAOs transcend geographical boundaries, allowing individuals from anywhere in the world to participate. 3.4 Efficiency Through Automation By automating repetitive tasks, smart contracts reduce administrative overhead, enabling faster decision-making. 3.5 Alignment of Interests Token-based incentives align the goals of members with the success of the DAO, fostering greater engagement. 4. Challenges Facing DAOs in 2025 Despite their potential, DAOs face several obstacles: 4.1 Voter Apathy Low participation rates in governance voting can undermine the effectiveness of DAOs. 4.2 Scalability Issues Managing a large number of proposals and participants can be challenging for DAOs with limited resources. 4.3 Security Risks Smart contract vulnerabilities and hacks can jeopardize a DAO’s treasury and operations. 4.4 Regulatory Uncertainty The lack of clear legal frameworks for DAOs creates challenges in compliance and liability. 4.5 Concentration of Power Whales, or members holding a large number of tokens, can disproportionately influence decisions, leading to centralization. 5. Key Use Cases for DAOs in Digital Communities 5.1 Decentralized Finance (DeFi) DAOs govern major DeFi protocols like Uniswap and MakerDAO, allowing users to vote on fee structures, upgrades, and treasury management. 5.2 NFT Projects NFT communities use DAOs to manage royalties, fund creative projects, and make collective decisions about platform features. 5.3 Social Impact Initiatives DAOs are emerging as vehicles for funding and managing social initiatives, such as disaster relief and community development. 5.4 Gaming Guilds In play-to-earn gaming ecosystems, DAOs manage assets, distribute earnings, and govern game-related decisions. 5.5 Content Creation Platforms DAOs enable creators to pool resources, govern platforms democratically, and distribute earnings equitably. 6. Technological Innovations Enhancing DAO Governance 6.1 Layer 2 Solutions Layer 2 technologies like Polygon and Arbitrum improve scalability and reduce transaction costs, making DAOs more efficient. 6.2 Decentralized Identity (DID) DID systems provide secure identity verification for DAO participants, enhancing trust and reducing fraud. 6.3 AI-Powered Governance Tools AI algorithms analyze proposals, suggest optimizations, and predict outcomes to assist DAO members in making informed decisions. 6.4 Quadratic Voting Quadratic voting addresses power imbalances by limiting the influence of large token holders, promoting fairer decision-making. 7. Regulatory Considerations for DAOs Governance in 2025 The regulatory landscape for DAOs is evolving, with governments and institutions exploring frameworks to address: Legal Recognition: Defining DAOs as legal entities. Taxation: Establishing tax policies for DAO treasuries and participants. Compliance: Ensuring DAOs adhere to anti-money laundering (AML) and know-your-customer (KYC) regulations. Countries like Switzerland and Wyoming in the United States are leading the charge by offering legal structures for DAO registration. 8. Future Trends Shaping DAO Governance 8.1 Cross-Chain Governance Interoperability solutions will enable DAOs to operate seamlessly across multiple blockchains, expanding their reach and functionality. 8.2 Dynamic Governance Models Future DAOs will adopt flexible governance structures that evolve based on community needs and external conditions. 8.3 Integration with Traditional Organizations Hybrid models will emerge, combining DAO principles with traditional corporate structures for enhanced collaboration. 8.4 Sustainability Initiatives DAOs will play a pivotal role in funding and governing climate-focused projects, driving sustainable development. Wrapping It Up: DAOs Governance in 2025 DAO governance in 2025 is set to redefine how communities and organizations collaborate, make decisions, and manage resources. By leveraging blockchain technology, DAOs offer transparency, inclusivity, and efficiency, making them a cornerstone of the decentralized future. However, realizing their full potential requires addressing challenges like scalability, security, and regulatory compliance. As technological and legal frameworks evolve, DAOs are poised to transform governance across industries, from finance and gaming to social impact and beyond.

Decentralized Autonomous Organizations (DAOs): Governance in 2025 Read More »

Real-world asset tokenization

The Rise of Real-World Asset Tokenization on Blockchain

What is Real-World Asset Tokenization? Blockchain technology revolutionizes industries by enabling digital ownership, transparent transactions, and decentralized solutions. Among its most groundbreaking applications is real-world asset tokenization, which converts physical assets, such as real estate, art, and commodities, into digital tokens on a blockchain. Tokenization bridges the gap between the tangible and digital worlds, allowing physical assets to be bought, sold, and traded securely and efficiently. As real-world asset tokenization gains momentum, it promises to redefine asset management, improve liquidity, and democratize access to previously inaccessible markets. In this article, we’ll explore how tokenization is transforming industries, its benefits, challenges, and the future of this innovative blockchain application. 1. What is Real-World Asset Tokenization? Real-world asset tokenization refers to the process of creating digital tokens on a blockchain that represent ownership or fractional ownership of physical assets. These tokens are unique, tamper-proof, and traceable, thanks to blockchain technology. For instance, a real estate property worth $1 million can be tokenized into 1,000 tokens, each worth $1,000. Investors can purchase these tokens, gaining partial ownership of the property without the need for intermediaries. 2. How Tokenization Works The process of real-world asset tokenization typically involves the following steps: 2.1 Asset Valuation and Structuring The physical asset is evaluated, and its ownership structure is determined. 2.2 Token Creation Smart contracts are used to create digital tokens that represent the asset or its fractions. 2.3 Asset Custody A trusted custodian is responsible for securely holding the physical asset while the tokens circulate in the digital ecosystem. 2.4 Blockchain Integration Tokens are issued on a blockchain, where their ownership and transaction history are recorded. 2.5 Secondary Market Trading Token holders can trade their tokens on blockchain-based marketplaces, providing liquidity for traditionally illiquid assets. 3. Benefits of Real-World Asset Tokenization 3.1 Enhanced Liquidity Traditionally illiquid assets, such as real estate or fine art, become easily tradable through tokenization. Fractional ownership allows smaller investors to participate, creating a liquid market. 3.2 Democratization of Investment Tokenization lowers entry barriers, enabling individuals to invest in high-value assets previously accessible only to wealthy investors or institutions. 3.3 Improved Transparency and Security Blockchain’s immutable ledger ensures that all transactions are transparent, traceable, and secure, reducing fraud and enhancing trust. 3.4 Reduced Costs and Intermediaries Tokenization eliminates intermediaries like brokers and reduces transaction costs, making investment processes more efficient. 3.5 Global Accessibility Investors worldwide can access tokenized assets, broadening the investor base and enabling cross-border transactions without complex legal frameworks. 4. Industries Leveraging Asset Tokenization 4.1 Real Estate Tokenization has revolutionized real estate by enabling fractional ownership of properties. Platforms like Propy and RealT allow investors to purchase tokens representing property shares. 4.2 Art and Collectibles Through tokenization, art and collectibles are becoming accessible to a broader audience. Companies like Maecenas tokenize high-value art pieces, enabling shared ownership. 4.3 Commodities Gold, oil, and other commodities are being tokenized to improve liquidity and enable fractional investment. For example, Paxos offers tokenized gold backed by physical reserves. 4.4 Financial Instruments Tokenized bonds, equities, and derivatives are transforming traditional finance by providing efficient, transparent trading mechanisms. 4.5 Gaming and Virtual Assets Tokenization is also prominent in gaming, where virtual assets like in-game items and land in the metaverse are being tokenized and traded. 5. Challenges in Implementing Tokenization While real-world asset tokenization offers immense potential, it is not without challenges: 5.1 Regulatory Hurdles Regulatory frameworks for tokenized assets vary across jurisdictions, creating uncertainty for investors and issuers. 5.2 Legal Ownership Ensuring that token holders have enforceable legal rights to the underlying asset remains a challenge. 5.3 Technology Barriers Blockchain scalability and interoperability issues can hinder the widespread adoption of tokenized assets. 5.4 Market Volatility The value of tokenized assets can be influenced by market speculation, leading to volatility. 5.5 Security Risks While blockchain is secure, the surrounding infrastructure, such as wallets and exchanges, may be vulnerable to cyberattacks. 6. The Role of Regulation in Asset Tokenization Regulatory clarity is essential for the success of real-world asset tokenization. Governments and financial institutions are working to establish frameworks that address: Ownership rights for token holders. Tax implications of tokenized assets. Compliance with anti-money laundering (AML) and know-your-customer (KYC) regulations. Countries like Switzerland and Singapore are leading the way with progressive regulatory environments for tokenized assets. 7. Future Trends in Real-World Asset Tokenization 7.1 Increased Adoption by Institutional Investors Institutional players are expected to drive the next wave of adoption, bringing credibility and liquidity to the tokenization market. 7.2 Integration with DeFi Decentralized finance (DeFi) protocols will integrate tokenized assets, enabling lending, borrowing, and staking of real-world assets. 7.3 AI and Automation in Tokenization AI-driven platforms will streamline asset valuation, token issuance, and compliance, making the process more efficient. 7.4 Expansion into New Asset Classes Beyond real estate and art, tokenization will expand into unique assets like intellectual property, patents, and even carbon credits. 8. How Businesses Can Capitalize on Tokenization 8.1 Partner with Tokenization Platforms Collaborate with established platforms to tokenize assets securely and efficiently. 8.2 Educate Stakeholders Raise awareness among investors and stakeholders about the benefits and risks of tokenized assets. 8.3 Focus on Compliance Work with legal experts to ensure adherence to local and international regulations. 8.4 Leverage Blockchain Interoperability Adopt interoperable blockchain solutions to reach a wider market and enhance asset liquidity. Wrapping It Up: The Future of Real-World Asset Tokenization Real-world asset tokenization is revolutionizing the way we perceive and interact with physical assets. By integrating blockchain technology, tokenization enhances liquidity, democratizes access, and reduces costs, making asset ownership more inclusive and efficient. As adoption grows and regulatory clarity improves, tokenization is poised to unlock trillions of dollars in previously untapped markets. For businesses and investors, embracing tokenization is not just an opportunity—it’s a necessity to thrive in the digital age.

The Rise of Real-World Asset Tokenization on Blockchain Read More »

Rescue your company’s growth!

Let’s talk about your next development project, and we’ll connect you with the best team for the job.

CANADA

PAKISTAN

Copyright© 2023 DevPumas | Powered by DevPumas

1-1 Meeting with Our
CTO & get
your quotation within 2 hours!

Scroll to Top