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