From Product Description to Competitor Intelligence Tracking competitor prices sounds simple. But in practice, most companies struggle before they even begin. Product catalogs are rarely clean, SKU lists are incomplete, and competitor product URLs are often unknown.  The same product can appear under different names, pack sizes, or descriptions across retailers.  This is why enterprise product matching exists. Instead of relying on perfectly structured product data, modern sy

Pricing managers need trustworthy competitor pricing data  that holds up when you push it into a pricing engine, a dashboard, or a promotion decision. The problem is: scrapers often “fail silently.”  The crawl finishes. The file delivers. Nothing looks obviously broken, until your team notices missing SKUs, weird price swings, or mismatched locations after  decisions were already made. In this article, I’ll break down how scrapers fail most often , the monitoring signals we u

Enterprise product matching  is the missing layer between messy internal product data and reliable competitor price tracking. If you’re trying to monitor competitor pricing but don’t have clean SKU lists, universal identifiers, or competitor URLs, this guide explains how modern product matching works, and how Ficstar turns descriptions into structured, comparable competitor intelligence. In this article you’ll learn: Why competitor price tracking fails before it starts (and w

Ficstar helped Baker & Taylor , a long-established books distributor headquartered in Charlotte, North Carolina (US), build a reliable pipeline for competitor pricing data  so their team could keep up with fast-moving price changes across competitors’ websites. Baker & Taylor is best known for distributing books , but their broader distribution footprint has also included digital content and entertainment products .  The goal of this engagement was clear: deliver accurate, co

Download the complete, enterprise-ready RFP checklist (Excel format), including scoring columns, vendor response fields, and proof-point requirements you can use immediately with procurement and legal. Asking the right questions In vendor evaluations, I often hear three requests in the first five minutes: pricing wants competitor prices, procurement wants security documentation, and engineering wants to know how we detect site changes before bad data hits production. They’re

This guide focus on how enterprises can choose the best enterprise web scraping service provider in 2026. 

This article takes a closer look How Web Scraping Needs Differ Between Enterprise and Startup Clients.

After 20+ years in this industry, I’ve heard every possible question from procurement teams, pricing managers and CIOs who are trying to figure out if managed web scraping services are the right fit for their business.

Enterprise web scraping in 2026 faces tariff shocks, inflation, and AI cat-and-mouse tactics. Discover trends shaping data pipelines and pricing intelligence.

Enterprise web scraping at scale is a whole different ballgame than scraping a few pages with an off-the-shelf tool. After years of working in this field (and trying just about every solution out there), I’ve seen firsthand why custom, managed web scraping services consistently outperform the DIY software that many companies start with. In my role as Director of Technology at Ficstar, I’ve helped numerous enterprise clients transition from plug-and-play scrapers to fully mana

Read on LinkedIn After more than 20 years serving enterprise clients  in the data space, I’ve learned a few things, sometimes the hard way. Working with large organizations comes with high expectations, unique challenges, and a whole lot of complexity. But it’s also incredibly rewarding. Let me share a few key lessons from the journey so far: 1. No Two Enterprise Web Scraping Projects Are Alike Enterprise clients come to us with specific goals, intricate systems, and detailed