Building a Real-Time Price Tracker With FourA
Competitor prices shift hourly. Here's how to build an automated price tracker across hundreds of product pages with a single API call and basic Python.
FourA Blog · Page 8
AI Agents Are Driving the Next Wave of Web Scraping
Autonomous AI agents are now the fastest-growing customer segment in web scraping. Here's what their demand for real-time data means for your infrastructure.
Browser Tasks: How to Scrape JavaScript-Heavy Sites
Over 70% of modern websites need JavaScript to render their content. Here's how FourA browser tasks get you the full page when HTTP requests return empty.
How Travel Startups Aggregate Fares Across Airlines
Fare comparison engines need to collect prices from dozens of protected airline sites simultaneously. Here's what the infrastructure actually looks like.
Dashboard Analytics and Usage Insights
Request volume, success rates, response times, cost breakdowns per domain: the FourA analytics dashboard shows what's working and where to optimize next.
The Hidden Cost of Maintaining Your Own Scrapers
Custom web scrapers feel cheap to build. Then maintenance eats 40% of your data team's time. Here's a breakdown of where the hours and dollars actually go.
Introducing Smart Proxy Routing
FourA now picks the best proxy type and location for every request automatically, based on the target site's defenses. Success rates jumped up to 23%.
The State of Web Data Collection in 2026
Bot detection has outpaced most scraping setups. Browser fingerprinting, ML detection, and behavioral analysis are rewriting the rules of data collection.
How a Price Intelligence Firm Tracks 10,000 SKUs Daily
Tracking 10,000 product prices across 200+ competitor sites daily is a serious infrastructure challenge. Here's how one pricing firm solved it cleanly.
Why Your Web Scraper Keeps Breaking (And What to Do About It)
Spending more time fixing your web scrapers than analyzing the data they collect? You're not alone. Here's why it keeps getting harder and what actually helps.