Clockify

Automatically Export & Sync Clockify Data

Clockify
a black arrow pointing to the right
Conjuntos de datos completos
No se necesitan instrucciones
Sin código
Sin diagramas de flujo complicados
Sin desencadenantes
Se configura en menos de 3 minutos
Flat pricing starting at $19 /month

Conjuntos de datos

CustomFields
Projects-All
Projects+Tasks-All
Pre-blended combo set TASKS
Tags-All
Tasks-All by Project
Filterable
Tasks-Active by Project
Filterable
Users+TimeEntries AllTime
Filterable
Pre-blended combo set TIME-ENTRIES
Users+TimeEntries Last X days
Date Rangable
Filterable
Pre-blended combo set TIME-ENTRIES

Información adicional

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

If you only need to export your data one time, check the website of Clockify 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 Clockify.
Clockify is a simple time tracker and timesheet app that lets you and your team track work hours across projects.
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.

Formatos de archivo

Integration Flow

Flatly
Dashboard

Setup

Step 1

Select Clockify from the Data Source dropdown and from the Data Destination dropdown.

Step 2

Authorize Clockify with your credentials using the flow.

Step 3

Authorize with your credentials using the flow.

Step 4

Select your Data Set from the 8 Data Sets available using the dropdown.

Step 5

Click Flatten to sync your data.

Vídeo tutorial

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