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Blog
Blog

A collection of articles, announcements and updates from Grepsr

Article

Data Cleansing for Web-Extracted Data: Deduplication, Normalization, and Validation Best Practices

Web-extracted data is a goldmine for AI, analytics, and business intelligence. However, raw data often comes with inconsistencies, duplicates, missing[…]

Article

How to Monitor and Detect Data Quality Declines in Web-Scraped Feeds

Web-scraped data has become an indispensable resource for modern businesses. From AI model training to market analytics, organizations increasingly rely[…]

Article

How Grepsr Combines APIs and Scraping to Deliver Complete Web Data

Collecting web data can be complex. APIs provide structured, reliable access, but sometimes they lack full coverage. Web scraping can[…]

Article

Ensuring Data Quality in Web Extraction for AI and Analytics

High-quality data is the backbone of AI models and analytics platforms. Poor-quality web data can lead to inaccurate insights, biased[…]

Article

Web Extraction as a Feature: Using External Data to Enhance Generative AI Systems

Generative AI systems-like large language models (LLMs) and content generation platforms-depend heavily on the quality and breadth of their data.[…]

Article

How to Use Web-Scraped Data for Training AI/ML Models: From Collection to Labeling

AI and machine learning models rely on high-quality data. Without rich datasets, even the most advanced algorithms fail to deliver[…]

Article

Scaling Web Extraction: How to Build and Maintain Large-Scale Web Crawlers

Web crawling is no longer just about fetching a handful of pages. Modern businesses rely on large-scale crawlers to extract[…]

Article

From API to Web Scraping: Choosing the Right Data Extraction Strategy for Modern Websites

Modern websites generate data in diverse ways. Some provide structured APIs, while others rely entirely on dynamic, JavaScript-rendered content. Choosing[…]

Article

Beyond HTML: How to Extract Data from Web-apps Built with React, Angular & Vue

Web data extraction used to be simple. You’d fetch a page’s HTML, parse it, and get the content you needed.[…]

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