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Access to accurate and structured web data is essential for organisations that rely on timely information to make operational and strategic decisions. Grepsr specialises in large-scale web scraping, delivering datasets that are reliable, well-organised, and ready for use across a variety of business functions. While raw scraped data already provides value, its potential increases when […]

Companies face an increasing volume of publicly available information online, from product listings and reviews to competitor updates and industry reports. The challenge is not the lack of data-it is turning that data into a reliable, structured form that can inform business decisions. Grepsr specialises in collecting web data at scale, ensuring that it is […]

In many organisations the challenge is not the lack of data but the ability to reliably collect, organise, and eventually leverage it in meaningful ways. At Grepsr we specialise in large‑scale web scraping-extracting structured datasets from websites across industries. But raw scraping is only the beginning. When combined with artificial intelligence (AI), these datasets become […]

Images are a vital part of modern business workflows. From marketing campaigns to e-commerce catalogs and AI datasets, having access to the right visuals can significantly boost productivity and insights. Yet, manually saving images from websites is tedious, error-prone, and impractical at scale. This guide will walk you through the best practices, tools, and workflows […]

When businesses rely on data to make million-dollar decisions, even a minor inaccuracy can send entire strategies off course. Imagine planning your pricing, product roadmap, or investment strategy on data that’s incomplete or unreliable. The consequences aren’t just inconvenient – they’re costly. That’s why data accuracy and completeness aren’t luxuries. They’re the foundation of every […]

Businesses today rely on web data for competitive intelligence, market research, pricing insights, and lead generation. While collecting small datasets manually may be manageable, extracting large volumes of data introduces challenges: Trying to gather large datasets manually or with ad-hoc scripts can lead to missing or inaccurate data, wasted resources, and delayed insights. This guide […]

Collecting data from websites is essential for businesses looking to stay competitive, generate leads, monitor prices, or conduct market research. However, trying to do this manually is nearly impossible for large-scale operations: On top of these challenges, websites actively prevent automated scraping through blocks, rate limits, and CAPTCHAs. This makes it clear: to access web […]

Not all websites are created equal. While some display content statically in HTML, many modern websites rely on dynamic content—loaded asynchronously using technologies like JavaScript, AJAX, and APIs. Dynamic websites are common across e-commerce platforms, social media, SaaS dashboards, news portals, and data-rich business platforms. Unlike static pages, content here does not exist in the […]

Businesses rely on accurate information to make informed decisions—but much of that data is online, hidden in websites and not immediately accessible. Collecting it manually is slow, error-prone, and often impractical. Web scraping offers a solution. By automatically extracting structured data from websites, organizations can access insights faster, monitor competitors, and gather actionable intelligence. This […]