Dexi.io is an enterprise web data extraction platform with visual robot builders, intelligent automation and large-scale crawling.
Dexi.io provides a professional environment for extracting web data at scale. Its visual editor builds “robots” that navigate, click and extract like a human user, while execution runs on a distributed network of browsers that handle authentication, proxies and anti-bot systems. AI assists with data structuring and change detection, and pipelines deliver clean output to storage, APIs or analytics platforms. Enterprises use Dexi for competitive pricing data, lead generation, compliance monitoring and market research, with SLAs and support to match.
Dexi.io sells enterprise subscriptions based on extraction volume and capabilities, with pricing scoped during sales discussions.
It serves large organizations that depend on external web data for pricing intelligence, lead pipelines and market monitoring.
Enterprise teams build extraction robots in the visual editor, configuring navigation, authentication and data capture steps. Robots execute on a distributed browser network with proxy management and anti-bot handling, and pipelines deliver structured output to storage, APIs or analytics platforms. AI assists with data structuring and detects site changes that would otherwise break extraction.
Mission-critical data feeds justify the enterprise setup: define SLAs, monitoring and acceptance sampling before production. Keep robots modular so site changes affect one step rather than the whole flow. Organizations using web data for pricing or compliance should treat extraction as infrastructure — versioned, monitored and owned by a named team.
Dexi.io is an enterprise platform; evaluations and pilots are arranged through the sales team.
Yes, Dexi.io is built around APIs for triggering robots and delivering extracted data into enterprise systems.
Its scale, reliability engineering and enterprise support exceed what self-serve scraping tools provide for mission-critical data.
Yes, robots can log in, maintain sessions and navigate authenticated areas with enterprise-grade proxy and anti-bot handling. Combined with monitoring and SLAs, this supports mission-critical data programs rather than occasional extraction tasks.
Large organizations in retail, finance and market research depend on it for pricing intelligence, lead data and compliance monitoring. Its infrastructure and support model suit programs where data feeds are operationally critical.