Enterprise Web Data at Unmatched Speed and Reliability: How Traject Data’s IaaS Powers Scalable Data Extraction

As data needs grew, in-house scraping faced constant setbacks—slower speeds, rising blocks, and mounting infrastructure challenges. Traject Data needed a more scalable, reliable solution to meet enterprise demands.

Traject Data combined its IaaS with Massive’s proxy network to achieve fast, resilient, and compliant data extraction. This partnership ensured uninterrupted performance, even during industry-wide disruptions.

Traject Data is an Infrastructure-as-a-Service (IaaS) provider that helps enterprises extract web data at scale. Their customers — enterprise data teams, market-intelligence platforms, and search-product builders — depend on them for high-speed, reliable access to data from sources like Amazon and Walmart.

A single point of failure — an outage from a major platform, a performance bottleneck, a reliability issue in the proxy layer — can cascade into lost revenue and damaged trust with enterprise customers.

As Traject Data’s customer base grew, their internal scraping infrastructure couldn’t keep up: slower speeds under enterprise volume, rising block rates on target sites, mounting costs to keep the system online. They needed a network partner who could own the hardest part of scraping — the proxy layer — without sacrificing reliability or compliance posture.

Traject Data built their platform with redundancy and partnership at the core, integrating Massive’s proxy network as a strategic layer. This gave them:

• Access to Massive’s geographically diverse residential IP pool
• A trusted partner with transparent compliance practices
• Proven reliability that scales with their customer demand
• The ability to absorb and route around industry-wide disruptions

When Google experienced an industry-wide outage in January 2025 that knocked competing scrapers offline, Traject Data’s customers stayed online. Requests routed through Massive’s residential network continued to reach live sources, their SLAs to enterprise customers held, and what would have been a postmortem became a differentiator in sales conversations.