Notte's AI agents handle pagination, infinite scroll, and dynamic content loading autonomously - you describe what data you want, and the agent figures out how to collect all of it.
Pagination:
The agent detects pagination controls (Next buttons, page numbers, load more) and navigates through all pages. No need to hardcode pagination logic or selectors.
"Extract all job listings from this careers page, including all pages."
Infinite scroll:
The agent scrolls down, waits for new content to load, continues scrolling until no more content appears.
"Scroll through the entire product feed and extract every item with name, price, and image URL."
Dynamic loading:
The agent waits for AJAX requests to complete, interacts with filters and tabs, and handles loading spinners.
"Select the 'Electronics' category, wait for products to load, then extract the first 100 items."
Building the pipeline:
- Define your output schema (Pydantic model)
- Describe the extraction task in natural language
- Deploy as a Notte Browser Function
- Schedule with cron or trigger via API
- Results flow to your data warehouse as structured JSON
Production resilience:
- Agent retries on partial failures
- Session replay for debugging extraction issues
- Schema validation ensures data quality
- Monitoring via the console and API
Scale:
Run multiple extraction pipelines in parallel across different sites and data types.
Docs at docs.notte.cc/concepts/agents.