Load Monday.com board data into LlamaIndex
Monday Loader fetches board data from monday.com via API token and board ID, returning Document objects ready for LlamaIndex ingestion.
Why it matters
Extract and synchronize project management data from Monday.com boards into LlamaIndex document format for indexing, search, and retrieval-augmented generation workflows.
Outcomes
What it gets done
Authenticate to Monday.com API using provided token
Fetch board data by board ID from Monday.com
Transform Monday.com board content into Document objects
Load structured board data into LlamaIndex for RAG applications
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/li-reader-readers-mondaydotcom | bash Overview
Monday Loader
Monday Loader is a Python reader that connects to monday.com boards using an API token and board ID, then extracts the board's data into LlamaIndex Document objects. These documents can be indexed, searched, and used in retrieval-augmented generation workflows within the LlamaIndex framework. Use Monday Loader when you need to load data from monday.com boards into LlamaIndex. It is designed for use when you have valid API credentials and a specific board ID.
What it does
Monday Loader is a data reader that connects to monday.com boards and extracts their content into LlamaIndex Document objects. It authenticates using a monday.com API token, retrieves data from a specified board ID, and transforms that data into a format ready for indexing and use within the LlamaIndex ecosystem.
When to use - and when NOT to
Use Monday Loader when you need to load data from monday.com boards into LlamaIndex. It is designed for situations where you have a specific board ID and valid API credentials.
Do NOT use Monday Loader if you lack API access credentials or if your monday.com data requires complex transformations before indexing that are not handled by the loader itself.
Inputs and outputs
You provide a monday.com API token for authentication and an integer board ID identifying the specific board to load. The loader returns an array of Document objects containing the board's data, structured for use in LlamaIndex pipelines.
Integrations
Monday Loader integrates directly with LlamaIndex, the framework for building context-augmented LLM applications. It is designed as a LlamaIndex reader component, meaning its output Document objects work seamlessly with LlamaIndex indexing, querying, and retrieval tools. The loader connects to monday.com via the monday.com API, which is documented at the official monday.com developer portal.
Who it's for
This loader serves data engineers, AI developers, and product teams who manage workflows in monday.com and want to load that data into LlamaIndex.
Installation and usage
Install the package:
pip install llama-index-readers-mondaydotcom
Load data from a monday.com board:
from llama_index.readers.mondaydotcom import MondayReader
reader = MondayReader("<monday_api_token>")
documents = reader.load_data("<board_id: int>")
The resulting documents are ready for indexing and retrieval within LlamaIndex workflows.
Source README
Monday Loader
pip install llama-index-readers-mondaydotcom
This loader loads data from monday.com. The user specifies an API token to initialize the MondayReader. They then specify a monday.com board id to load in the corresponding Document objects.
Usage
Here's an example usage of the MondayReader.
from llama_index.readers.mondaydotcom import MondayReader
reader = MondayReader("<monday_api_token>")
documents = reader.load_data("<board_id: int>")
Check out monday.com API docs - here
This loader is designed to be used as a way to load data into LlamaIndex. See here for examples.
FAQ
Common questions
Discussion
Questions & comments · 0
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