ClickUp to Data Studio

Automatically Export & Sync ClickUp Data to Data Studio

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Data Studio
Full data sets
No code
No complicated flow charts
No triggers
Set up in under 3 minutes
No instructions needed

Data sets

Tasks by List
WorkspaceTasks Last X days
Date Rangable
TimeEntries Last X days
Date Rangable

Built for Synchronization

This service is designed to help anyone continuously export (i.e. "sync") data from ClickUp.

If you only need to export your data one time, check the website of ClickUp 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.

Additional Information

Flatly uses official API channels to provide an integration with ClickUp.
ClickUp is a cloud-based collaboration and project management tool suitable for businesses of all sizes and industries.
Custom Field Enrichment

Flatly automatically enriches some fields in some ClickUp data sets if they contain Custom Fields. Your resulting data will contain extra columns, created by Flatly, which are labeled by a combination of the prefix "flatly_enriched" and a suffix derived from your Custom Field's label. The values under these enriched columns will be useful and interpretable by human users, instead of being identifiers meant for computer programs.


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.


Opening a CSV file from Google Cloud Storage in Looker Studio is straightforward and takes only a few clicks. Importantly, a CSV file can be larger than 10 million cells, whereas a Google Sheet is limited to 10 million cells.

Looker Studio reads flat files directly from Google Cloud Storage.

File Formats

XLSX (Parsed)
XLSX (Raw)
CSV File

Integration Flow


Step 1

Select ClickUp from the Data Source dropdown and Data Studio from the Data Destination dropdown.

Step 2

Authorize ClickUp with your credentials using the OAuth flow.

Step 3

Authorize Data Studio with your credentials using the Service Account flow.

Step 4

Select your Data Set from the 6 Data Sets available using the dropdown.

Step 5

Click Flatten to sync your data.

Walkthrough Video

Extended Data Sources

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