Import

Import.io helps businesses scale web scraping and data extraction for real-time pricing, competitor tracking, and high-quality web data.

Employees

51-200

Funding

Growth ($38M)

Pricing

Public pricing page

AI Classification

DataAIData Infrastructure

Import.io is an AI-powered web data extraction platform founded in 2012 that provides managed web scraping, self-healing data pipelines, and pricing intelligence (via its Aperture product) to enterprise clients across retail, finance, healthcare, and legal sectors. Now operating under the Neuralogics Group, the company is evolving into an AI-native SaaS platform connecting web data to real-time business intelligence.

Deep Intelligence

Buying Signals

Acquisition/integration with Neuralogics Group — Import.io is actively scaling its AI platform under a parent group with dedicated AI and integration infrastructure, signaling investment and expansion
New product launch: Aperture — a purpose-built pricing intelligence SaaS product targeting retail and e-commerce, representing a distinct go-to-market expansion beyond core scraping
Active content marketing campaign targeting 2026 enterprise use cases across competitor analysis, pricing strategy, data visualization, and BI — indicating outbound growth investment
Leadership build-out visible: CRO (Chris Sayer), SVP Operations (Guillaume Vial), Director of Engineering (Alexander Romanov) — structured enterprise GTM team in place
Explicit push into regulated data segments (Healthcare & Life Sciences, Climate & ESG, Legal & Regulatory) — signaling market expansion into compliance-driven verticals

Account Scoring

Tier ALow Churn RiskProduct Launch

Pain Signals

No public pricing page visible — enterprise-only pricing model creates friction for mid-market self-serve evaluation and may limit top-of-funnel conversion
Messaging explicitly acknowledges 'brittle scraping' and 'scrapers break' — the company is repositioning away from its legacy scraping identity, suggesting legacy customer churn risk or perception challenges
Blog content still references 2025 best practices in some guides while targeting 2026 elsewhere — inconsistent content freshness signals resource constraints in content operations