Posts

Web Scraping Compliance for Enterprises: 2026 Guide

Image
  Introduction Web scraping compliance for enterprises comes down to five things your reviewers must be able to sign off: the data is publicly available, personal data is excluded or lawfully handled, your intended use (internal analysis, display, caching, resale) fits the source's rights, retention and security are documented, and both sides are bound by an NDA and, where needed, a DPA. Those five points come straight from the written questions we receive. In recent enterprise inquiries – from consulting firms, FMCG and beverage multinationals, large retailers and travel companies – procurement, legal and information-security teams asked before any trial: Can we display product titles and images in our app? Can we cache the data? Is it public data only? How long do you keep it? Will you sign our NDA and complete our security questionnaire? This guide walks through each question, what reviewers are really checking, and the evidence a credible web data vendor should hand over. Use i...

Car Rental Price Monitoring: The Complete Guide (2026)

Image
  Introduction A mid-size car at an airport counter can cost one price on the rental brand's own site, another on an online travel agency and a third on a metasearch page, and all three can change before lunch. For revenue managers and OTAs, keeping up with those moves by hand is not realistic. Car rental price monitoring is the automated, scheduled collection of live rental rates, fees and availability from rental brand websites and travel sites, normalised by pick-up location, dates, rental duration and car class. It lets revenue managers, OTAs and mobility companies benchmark competitors, check rate parity and react to market moves with comparable data. This guide explains why rental rates move, which sources matter, the data fields to collect, how often to refresh them, how to check rate parity, and when to build your own pipeline versus buying a managed feed. It covers live, publicly displayed rates only: a forward-looking collection builds your own price history over time. W...