Block and Page Hierarchy Traversal reconstructs the full nested structure of a Notion workspace — parent pages, child pages, embedded databases, linked database views, and block-level content — through the recursive API calls that Notion's block-tree architecture requires. A single public Notion workspace with deep nesting can generate hundreds of API requests to fully traverse, and a research program covering many workspaces multiplies this into a substantial request volume that our proxy pool handles by distributing the load across many IP identities in parallel. The result is complete workspace coverage rather than the shallow, truncated snapshots that rate-limited single-IP access produces.
Database Property Capture extracts the structured data stored in Notion databases — the field schemas, property values, relation links, and filter configurations that reveal how a company is organizing its product data, customer information, or project tracking. For SaaS competitive research, the database structure of a public Notion workspace often reveals more about how a company operates internally than any marketing page does. Our proxies maintain the session consistency that multi-query database extraction requires, with sticky options for workflows where Notion's cursor-based pagination needs a stable IP context to function correctly. Public Template Mining systematically extracts Notion's public template gallery to map the document structures, workflow patterns, and use-case positioning that competing productivity vendors are using to attract users — intelligence that directly informs product and content strategy.