ClickUp to Google BigQuery

Automatically Export & Sync ClickUp Data to Google BigQuery

ClickUp
a black arrow pointing to the right
Google BigQuery
Full data sets
No code
No complicated flow charts
No triggers
Set up in under 3 minutes
No instructions needed

Data sets

Goals
Tasks by List
Filterable
WorkspaceTasks
WorkspaceTasks Last X days
Date Rangable
TimeEntries-Alltime
Enriched by WORKSPACE-TASKS
TimeEntries Last X days
Enriched by WORKSPACE-TASKS
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.

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.

Looker reads tables from Google BigQuery.

File Formats

NDJSON

Integration Flow

Setup

Step 1

Select ClickUp from the Data Source dropdown and Google BigQuery from the Data Destination dropdown.

Step 2

Authorize ClickUp with your credentials using the OAuth flow.

Step 3

Authorize Google BigQuery 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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