Double

Summary

DoubleData is an enterprise data extraction and matching platform built for retail, e-commerce, and brands to access competitor pricing, product data, and market trends. It combines web and mobile app scraping, proxy infrastructure, and AI matching to monitor changes across 5,000+ sources in real time.

What is DoubleData?

DoubleData provides end-to-end data solutions covering custom scraping, mobile app data extraction, precision data matching (99.9%+ accuracy), and ready-to-use dashboards. The platform processes 4.2 TB of data monthly with 99.89% uptime and offers fixed monthly pricing with no upfront development costs. Ideal for enterprise teams requiring large-scale, continuously updated data streams.

Core Capabilities

• Custom enterprise scraping: Crawlers designed for specific targets and anti-bot defenses
• Mobile app scraping: Extract structured data from native apps beyond traditional websites
• Precision data matching: Cross-platform entity resolution at 99.9%+ accuracy, eliminating duplicates and mismatches
• Ready-to-use dashboards: Pre-built visualization interfaces for immediate analysis
• Proxy infrastructure: Residential, datacenter, ISP, and mobile IPs with auto-rotation and geo-load balancing
• AI scraping and unlocker: LLM-powered agents to bypass advanced anti-bot systems
• Industry datasets: Pre-built packages for retail, staffing, ticketing, and more, ready for licensing

Pros

• Processes 4.2 TB monthly with 99.89% uptime, suitable for high-frequency data needs
• Data matching accuracy exceeds 99.9% with cross-source consistency validated internally
• Fixed monthly pricing with no upfront development investment or hidden fees
• Covers 5,000+ sources including websites and mobile applications
• ISO 27001 and SOC 2 Type II certified, GDPR-compliant with DPA and data residency options

Cons

• Does not generate offline data; only extracts publicly available online information
• Cannot provide competitor internal traffic, conversion rates, or private financial data
• Pricing requires sales contact (scraping from $200, proxies from $0.75/IP)
• Custom projects require 3–5 days setup time, not instant delivery
• Primarily targets enterprise clients; smaller teams may need to evaluate cost-benefit

Decision Guidance

When to use: You need continuous monitoring of competitor pricing, product assortments, or market trends with high-accuracy data matching and automated dashboards. Ideal for retail, e-commerce, ticketing, and delivery platforms requiring large-scale data streams.

When to consider alternatives: You need only a one-time data snapshot, have budget constraints, or already have an in-house scraping team and only require proxy services. If mobile app scraping or AI matching is unnecessary, lighter SaaS scraping tools may suffice.