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Black Friday 2025: Launch Data Projects Faster with No Setup Fees
Grepsr is rolling out a special Black Friday 2025 offer designed to make enterprise-scale data access more affordable than ever. […]
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Operating a DaaS Platform: Architecture, Monetization, and Legal Issues
Data-as-a-Service (DaaS) platforms are transforming the way businesses access, consume, and monetize data. Operating a DaaS platform involves more than[…]
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From Raw Extracted Data to Marketable Dataset: How Businesses Package and Sell Web Data
Raw web-extracted data is powerful—but in its native form, it is often unstructured, inconsistent, and difficult to use. To create[…]
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What is Data-as-a-Service and How Web Extraction Powers It
Data-as-a-Service (DaaS) has emerged as a game-changing model for businesses looking to leverage external data without building infrastructure from scratch.[…]
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Reinventing Market Research with Web Extraction: From Static Reports to Real-Time Intelligence
Traditional market research relies heavily on static reports, surveys, and periodic data collection. While useful, these methods are often slow,[…]
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How Web-Extracted Data is Becoming a Strategic Asset for Businesses
Data is no longer just a byproduct of business operations-it is a strategic asset that drives decisions, innovation, and competitive[…]
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The Future of Web Data: What Trends Will Shape the Next Decade of Extraction & Analytics
Web data is no longer a byproduct of online activity-it has become the backbone of analytics, AI, and strategic decision-making.[…]
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AI-Assisted Scraping: How Machine Learning Can Improve Extraction Accuracy and Adaptability
Traditional web scraping relies on rules-based approaches, such as XPath, CSS selectors, or API calls. While effective for structured sites,[…]
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Web Extraction as a Feature: Using External Data to Enhance Generative-AI Systems
Generative AI systems, from text generators to recommendation engines, rely heavily on high-quality, diverse datasets. While internal datasets provide a[…]
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Feeding Web-Scraped Data into Snowflake, BigQuery, and Other Cloud Warehouses
Collecting web data is just the first step. For enterprises to derive value from this data, it must be integrated[…]
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