LlamaParse Examples with llama-cloud-services
Collection of examples demonstrating how to use the LlamaParse
Parse with Additional Prompts Guide parsing output with custom prompts. Extract specific data from a McDonald's receipt by instructing the parser to focus only on prices and totals.
Parse and Analyze Excel Spreadsheets Parse Excel files and build a RAG app to answer questions about spreadsheet data using a DCF template example.
Parse All PDFs in a Folder with LlamaParse Parse all PDFs in a folder with LlamaParse and Asyncio
For more detailed examples on how to use the Python SDK, visit our GitHub repo.
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/