AI agent research
Give autonomous workflows current web context with source content, artifacts, quality scores, and request IDs for investigation.
Use cases
Built for web data workflows
Collect current public web data for agents, monitoring, extraction, and research without maintaining separate fetch and browser stacks.
Market and competitor monitoring
Run bounded recurring collection across pages and supported source connectors, then consume normalized events and records.
Knowledge base ingestion
Collect clean Markdown, metadata, links, and structured items before downstream chunking and indexing.
Structured web extraction
Apply typed CSS or server-configured LLM extraction to repeated page shapes without exposing unsafe runtime controls.
Browser-backed automation
Render pages that require JavaScript while keeping browser sessions, profiles, capacity, and cleanup behind managed boundaries.
Site-scale crawling
Create asynchronous crawl jobs with scope, budget, queue state, result paging, and explainable retry outcomes.
Simple pageFetch
Fast normalized retrieval
Dynamic pageBrowser
Managed rendering path
Repeated shapeExtract
Typed structured items
Many pagesCrawl
Bounded asynchronous jobs
Start building
Ship the first reliable collection path.
Choose one workflow now and keep a consistent public result model when the target or scale changes.