Scrape.ly - 2026 Pricing, Features, Reviews & Alternatives

Scrape.ly is a cloud-based web data platform designed for developers, data engineers, SEO professionals, researchers, and enterprise teams that require scalable, reliable web scraping and data extraction infrastructure. The platform combines a managed cloud runtime, a built-in proxy network, and an anti-bot browser to handle modern web protection mechanisms without requiring users to manage underlying infrastructure. Scrape.ly supports both no-code and full-code workflows, allowing teams with varying technical depth to extract, transform, and deliver structured web data.

Scrape.ly provides access to a store of over 570 ready-made Actors — pre-built scrapers and automation tools covering major websites and data categories — alongside a full SDK for custom Actor development in JavaScript and Python. The platform integrates with AI agent frameworks, supporting tool-use patterns that allow language model-based agents to trigger scraping tasks programmatically. Data outputs can be routed to cloud storage, webhooks, or external pipelines via a REST API and native integrations with tools such as Zapier, Make, and major cloud providers. Scheduling, monitoring, and usage-based billing are managed through a centralized dashboard, giving operations and engineering teams visibility into run history, resource consumption, and error logs.

Enterprise deployments of Scrape.ly include dedicated proxy pools, priority support, and configurable data retention policies. The platform is suited for use cases including price monitoring, lead generation, academic research, SEO auditing, and large-scale dataset construction. Scrape.ly's architecture is designed to scale horizontally across concurrent scraping jobs, with automatic retries and session management reducing the operational overhead typically associated with maintaining proprietary scraping infrastructure.