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Blog

Insights, updates, and expert articles to help you leverage web data effectively.

Article

3X Data Coverage, 0 New Hires: How a Travel Platform Scaled Competitive Monitoring Efficiently

For online travel platforms, real-time competitive monitoring is critical. Rates, availability, and promotions across competitors directly impact revenue, conversion, and[…]

Article

Cutting Data Acquisition Costs by 62%: How a Market Intelligence SaaS Scaled Without Infrastructure Overhead

For market intelligence SaaS companies, data is the foundation of the product. Insights, dashboards, and analytics all depend on high-quality,[…]

Article

How Grepsr Helped a Global Retail Enterprise Reclaim 480+ Hours a Month and Build Next‑Gen Price Intelligence Infrastructure

For large retailers, pricing is a strategic function that directly impacts revenue, margins, and market positioning. This case study explores[…]

Article

Ensuring Data Quality and Validation for AI‑Ready Scraped Datasets

Collecting web data is only the beginning. What truly determines the success of an AI system is the quality of[…]

Article

The Future of Web Scraping: Automation, AI & Self‑Healing Systems

Web scraping has come a long way from manual scripts and static crawlers. Today, the next generation of web scraping[…]

Article

Common Mistakes When Using AI for Web Data Extraction (And How to Avoid Them)

Artificial intelligence has revolutionized web data extraction, making it faster, smarter, and more adaptable. But even the best AI systems[…]

Article

Why Structured Web Data Matters More Than Ever for AI Applications

AI applications rely on information, but not all information is immediately usable. Raw web data is messy: inconsistent formats, nested[…]

Article

How to Build an AI‑Ready Data Pipeline Using Web Scraping

Gathering raw data from websites is easy; turning it into something your AI systems can actually use is where most[…]

Article

Web Scraping vs APIs for AI Projects: Which Is Better?

AI projects thrive on data, but not all data is created equal. One of the most common dilemmas for data[…]

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