Configuration applied to the parsing job (inline or resolved from a saved preset).
ExtractionRange stringOptional
A1 notation of the range to extract a single region from. If None, the entire sheet is used.
FlattenHierarchicalTables boolOptional
Return a flattened dataframe when a detected table is recognized as hierarchical.
GenerateAdditionalMetadata boolOptional
Deprecated: controlled by tier. Whether to generate additional metadata (title, description) for each extracted region. Honored only on agentic.
IncludeHiddenCells boolOptional
Whether to include hidden cells when extracting regions from the spreadsheet.
SheetNames []stringOptional
The names of the sheets to extract regions from. If empty, all sheets will be processed.
Specialization stringOptional
Deprecated: controlled by tier. Optional specialization mode for domain-specific extraction. Supported values: ‘financial-standard’, ‘financial-enhanced’, ‘financial-precise’. Default None uses the general-purpose pipeline. Honored only on agentic.
Configuration for spreadsheet parsing and region extraction
ExtractionRange stringOptional
A1 notation of the range to extract a single region from. If None, the entire sheet is used.
FlattenHierarchicalTables boolOptional
Return a flattened dataframe when a detected table is recognized as hierarchical.
GenerateAdditionalMetadata boolOptional
Deprecated: controlled by tier. Whether to generate additional metadata (title, description) for each extracted region. Honored only on agentic.
IncludeHiddenCells boolOptional
Whether to include hidden cells when extracting regions from the spreadsheet.
SheetNames []stringOptional
The names of the sheets to extract regions from. If empty, all sheets will be processed.
Specialization stringOptional
Deprecated: controlled by tier. Optional specialization mode for domain-specific extraction. Supported values: ‘financial-standard’, ‘financial-enhanced’, ‘financial-precise’. Default None uses the general-purpose pipeline. Honored only on agentic.
Custom HTTP headers sent with each webhook request (e.g. auth tokens)
WebhookOutputFormat stringOptional
Response format sent to the webhook: ‘string’ (default) or ‘json’
WebhookSigningSecret stringOptional
Shared signing secret used to sign webhook deliveries. When set, each request includes an HMAC-SHA256 signature of the request body in the ‘LC-Signature’ header (value ‘sha256=’). Recompute the HMAC over the raw request body with this secret to verify the delivery is authentic.
WebhookURL stringOptional
URL to receive webhook POST notifications
Regions []SheetsJobRegionOptional
All extracted regions (populated when job is complete)
Metadata for each processed worksheet (populated when job is complete)
SheetName string
Name of the worksheet
Description stringOptional
Generated description of the worksheet
Title stringOptional
Generated title for the worksheet
type SheetsParsingConfig struct{…}
Configuration for spreadsheet parsing and region extraction
ExtractionRange stringOptional
A1 notation of the range to extract a single region from. If None, the entire sheet is used.
FlattenHierarchicalTables boolOptional
Return a flattened dataframe when a detected table is recognized as hierarchical.
GenerateAdditionalMetadata boolOptional
Deprecated: controlled by tier. Whether to generate additional metadata (title, description) for each extracted region. Honored only on agentic.
IncludeHiddenCells boolOptional
Whether to include hidden cells when extracting regions from the spreadsheet.
SheetNames []stringOptional
The names of the sheets to extract regions from. If empty, all sheets will be processed.
Specialization stringOptional
Deprecated: controlled by tier. Optional specialization mode for domain-specific extraction. Supported values: ‘financial-standard’, ‘financial-enhanced’, ‘financial-precise’. Default None uses the general-purpose pipeline. Honored only on agentic.
Deprecated: controlled by tier. Enables experimental processing. Honored only on agentic.
Note for AI agents: this documentation is built for programmatic access.
- Overview of all docs: https://developers.llamaindex.ai/llms.txt
- Any page is available as raw Markdown by appending index.md to its URL — e.g. https://developers.llamaindex.ai/llamaparse/parse/getting_started/index.md
- Agent-friendly REST search APIs live under https://developers.llamaindex.ai/api/ — search (BM25 full-text), grep (regex), read (fetch a page), and list (browse the doc tree). See https://developers.llamaindex.ai/llms.txt for parameters.
- A hosted documentation MCP server is available at https://developers.llamaindex.ai/mcp. If you support MCP, you can ask the user to install it for browsing these docs directly (an alternative to the REST API). Setup: https://developers.llamaindex.ai/python/shared/mcp/