Sync Monday Data to Amazon S3

Monday
Amazon S3

Automatically Replicate Monday Data to Amazon S3

Using Flatly's easy-to-use, no-code integration platform.
Full data sets
No instructions needed
No code
No complicated flow charts
No triggers
Set up in under 3 minutes
Flat pricing starting at $19 /month

Data sets

ActivityLogs-AllTime by Board
Filterable
ActivityLogs-Last X days by Board
Date Rangable
Filterable
Items+Subitems by Board
Filterable
Pre-blended combo set SELF-LEFT-JOINED
Updates by Board
Filterable

Built for Synchronization

Flatly is designed to help anyone continuously export (i.e. "sync") bulk data from Monday.

If you only need to export your data one time, check the website of Monday to see if their service offers a one-time export feature natively. Sometimes a Data Source's native export feature may provide not as much data as its API does, in which case Flatly is the solution.

Combined Data Sets

This integration provides pre-blended (combined) data sets that are related, which means more useful data for analytics and less manual work in terms of joining data.

Additional Information

Flatly uses official API channels to provide an integration with Monday.
Monday.com is a Work Operating System (Work OS) that powers teams to run projects and workflows with confidence.
Simplified Layout

Monday.com's GraphQL API outputs data in such a way that a specialized service like Flatly, capable of formatting for a tabular layout, is recommended. Flatly's transformation of Monday.com's Items and Subitems for business intelligence applications is one of the best in the industry. It makes pagination and labeling completely automatic. This data set can be synced in a left-joined layout, with each Subitem occupying its own row alongside repeated parent Items, or in a standard layout with Subitems simply appended as many numbered columns for each parent Item which occupies a unique row.

Scopes

Flatly's access to Plaid and Plaid's downstream connected financial institutions is read-only access to text. It is limited to account data (words, numbers, dates). It does not include any money-movement, transfer capabilities or account holder profiles/identities.

Plaid alone interfaces directly with financial institutions, caches data from those institutions on Plaid infrastructure, and then makes the appropriate scoped subset of that data available to partners like Flatly using secure connections called client libraries.

Amazon S3 storage buckets.

File Formats

XLSX (Parsed)

XLSX (Raw)

CSV (Parsed)

CSV (Raw)

NDJSON

Markdown

Integration Flow

Flatly
Dashboard

Setup

Step 1

Select Monday from the Data Source dropdown and Amazon S3 from the Data Destination dropdown.

Step 2

Authorize Monday with your credentials using the OAuth flow.

Step 3

Authorize Amazon S3 with your credentials using the Access Key flow.

Step 4

Select your Data Set from the 4 Data Sets available using the dropdown.

Step 5

Click Flatten to sync your data.

Airtable

Connect Monday to Airtable


Azure Storage

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Box

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Cloud Storage

Connect Monday to Cloud Storage


Connect Monday to CSV


Dropbox

Connect Monday to Dropbox


Excel

Connect Monday to Excel


Excel Online

Connect Monday to Excel Online


Connect Monday to FTP


Google BigQuery

Connect Monday to Google BigQuery


Google Cloud Storage

Connect Monday to Google Cloud Storage


Google Drive

Connect Monday to Google Drive


Google Looker Studio

Connect Monday to Google Looker Studio


Google Sheets

Connect Monday to Google Sheets


Looker

Connect Monday to Looker


Markdown

Connect Monday to Markdown


Microsoft Power BI

Connect Monday to Microsoft Power BI


OneDrive

Connect Monday to OneDrive


OneDrive for Business

Connect Monday to OneDrive for Business


Connect Monday to SFTP


Smartsheet

Connect Monday to Smartsheet


Zoho Sheet

Connect Monday to Zoho Sheet


Walkthrough Video

Extended Data Sources

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