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Blog

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

Article

300 Crawlers Later: How Maintenance Overload Breaks Enterprise Web Data

Many enterprises start web data initiatives with internal scraping teams, building dozens—or even hundreds—of crawlers. At first, this DIY approach[…]

Article

Enterprise Web Data Outsourcing: Models That Work at Scale

Web data drives enterprise intelligence—from pricing and product insights to market trends and competitive intelligence. Yet, building and maintaining internal[…]

Article

Build vs Buy for Price Intelligence: Internal Crawlers vs Grepsr SLAs

Price intelligence is critical for modern enterprises. Retailers, marketplaces, and brands rely on real-time pricing data to adjust strategies, optimize[…]

Article

How to Integrate a Web Scraping API Into Python or Node.js Projects

Web data powers analytics, competitive intelligence, pricing insights, and lead generation. While scraping manually or building in-house scrapers is possible,[…]

Article

Self-Serve Scrapers vs Managed Extraction: Ownership, Reliability, and SLAs

Enterprises looking to extract web data face a key choice: use self-serve scraping platforms or partner with a managed extraction[…]

Article

How Enterprises Get Reliable Web Data Without Fixing Selectors Daily

Web scraping at scale is notoriously fragile. A single website layout change or broken CSS selector can bring an entire[…]

Article

No-Code Scrapers vs Grepsr: Why Tools Fail After the First Site Change

No-code scraping tools have become popular in recent years. They promise quick setup, minimal technical knowledge, and instant results, which[…]

Article

How to Gather Business Leads Efficiently from Company Websites

For B2B sales and marketing teams, accurate business leads are essential for revenue growth. Traditional lead collection methods, such as[…]

Article

Change Detection at Scale: Build In-House or Partner with Experts?

For enterprises that monitor competitors, marketplaces, or pricing trends, detecting changes across hundreds or thousands of web sources is challenging.[…]

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