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Case Study: Collecting Electronic Part Prices Across Major Distributors and Online Stores
This case study covers a pricing intelligence project where we at Ficstar, a fully managed web data collection and web scraping services partner for enterprises, collected electronic component prices across top Distributor, Aggregator and Manufacturer websites to capture the tiered pricing and lead time for each part number. In this project, the client provided a massive input list of 700,000+ electronic parts , and our job was to capture price by quantity (tiered price brea


Web Scraping Cadence 101: What Determines How Frequently You Can Crawl a Website?
What Is the Frequency We Can Run the Crawler? Crawler frequency (how often we collect the same data from the same sources) is one of the first decisions that determines cost, feasibility, and data quality in a web scraping program . In theory, you can run a crawler as often as you want. In practice, the “right” frequency is a balance between: How fast the underlying data changes : price, inventory, availability, promotions, fees How much risk you can tolerate : missing chang


What Causes Web Scraping Projects to Fail?
This article is written for pricing leaders who don’t want surprises. We’ll walk through why web scraping projects fail, and where most data providers or in-house teams fall short.


Best Ecommerce Price Extraction Solutions 2026
Here’s what you need to know about the best solutions for online retail price extraction in 2026.


How We Collected Nationwide Tire Pricing Data for a Leading U.S. Retailer
Through this project, we helped a leading U.S. tire retailer monitor nationwide pricing and shipping data from 20 major competitors, covering over 50,000 SKUs and generating roughly one million pricing rows per weekly crawl. The challenges included add-to-cart pricing, login-required sites, captchas, and multi-seller listings, all of which required adaptive algorithms, caching, and contextual parsing to ensure 99% accuracy. Our QA framework, built around cached validation and


The Future of Competitive Pricing
Why Reliable Data Defines the Next Era of Pricing Strategy As CEO of Ficstar , I spend a lot of time talking to pricing managers who rely on enterprise web scraping to stay competitive. And over the years, one thing has become very clear: pricing managers are under more pressure than ever before. Margins are thin. Competitors are moving faster. Consumers are more price-sensitive. And executives are demanding answers that are backed by hard numbers, not gut feelings. I


Why Competitor Pricing Data Matters for Pricing Managers
Pricing managers struggle with fast-changing competitor prices. Discover how fully managed competitor pricing data helps regain control and improve profitability.


How Ficstar Deliver Competitor Pricing Intelligence That Enterprise Clients Can Trust
At Ficstar, we've built our reputation on delivering competitor pricing intelligence that enterprise clients can rely on, and there's a reason why companies choose our fully managed scraping approach over off-the-shelf datasets time and time again.
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