Unlock Your Monday.com Data with Advanced Item & Relation Fetching
detail.loadingPreview
Automate the retrieval of detailed Monday.com board items, including all their linked items and sub-items. This workflow enhances data visibility and enables more sophisticated automation scenarios.
About This Workflow
This n8n workflow is designed to provide a comprehensive solution for extracting rich data from your Monday.com boards. It goes beyond basic item fetching by intelligently retrieving all associated linked items and sub-items. By leveraging custom JavaScript code, it parses complex column structures, identifies board relations, and consolidates all relevant item information into a single, actionable dataset. This allows for deeper analysis, cross-board reporting, and more intelligent automated processes, ensuring you have a complete 360-degree view of your project data within Monday.com.
Key Features
- Full Item Data Extraction: Retrieves all details of a specific Monday.com board item.
- Linked Item Resolution: Automatically fetches all linked items connected via board relation columns.
- Sub-item Aggregation: Efficiently pulls and organizes all sub-items associated with a parent item.
- Customizable Data Structuring: Uses JavaScript to parse and restructure column values for easier processing.
- Robust Error Handling: Includes options to continue processing even if certain steps encounter errors.
How To Use
- Start with a Trigger: Begin your n8n workflow with a trigger node that identifies the Monday.com item you want to process (e.g., a webhook when an item is updated or created).
- Fetch Item Details: Use the
Monday.comnode (Operation:get, Resource:boardItem) to retrieve the initial item's data, referencing the item ID from your trigger. - Extract Column Values: Employ a
Codenode (e.g.,GET ALL COLUMNS) to parse thecolumn_valuesfrom the fetched item, structuring it into a more manageable format (e.g.,columnValuesById). - Identify Linked Items: Use another
Codenode (e.g.,GET ALL RELATIONS) to filter forboard_relationtype columns and extract their values. - Process Linked Items: For each identified linked item ID, use a
Monday.comnode (Operation:get, Resource:boardItem) to fetch its details. UtilizesplitOutnodes if multiple linked items exist to process them individually. - Handle Sub-items: If your items have sub-items, use a
Codenode (e.g.,PULL SUBITEMS) to extract the sub-item IDs. Then, use aMonday.comnode to fetch each sub-item. - Aggregate Data: Use an
Aggregatenode to combine all the fetched linked item and sub-item data into a structured output (e.g., an array namedsubitems). - Merge and Output: Finally, use a
Mergenode to combine the original item data with the aggregated linked and sub-item data for comprehensive output.
Apps Used
Workflow JSON
{
"id": "9436010b-fc76-47cd-94db-b438faf71ffe",
"name": "Unlock Your Monday.com Data with Advanced Item & Relation Fetching",
"nodes": 7,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 9436010b-fc76...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
Statistics
Related Workflows
Discover more workflows you might like
Universal CSV to JSON API Converter
Effortlessly transform CSV data into structured JSON with this versatile n8n workflow. Integrate it into any application as a custom API endpoint, supporting various input methods including file uploads and raw text.
Instant WooCommerce Order Notifications via Telegram
When a new order is placed on your WooCommerce store, instantly receive detailed notifications directly to your Telegram chat. Stay on top of your e-commerce operations with real-time alerts, including order specifics and a direct link to view the order.
On-Demand Microsoft SQL Query Execution
This workflow allows you to manually trigger and execute any SQL query against your Microsoft SQL Server database. Perfect for ad-hoc data lookups, administrative tasks, or quick tests, giving you direct control over your database operations.