Using API to get data for SQL

Developers & API
1

We use clockify in one of our teams, and would like to get data out of Clockify into SQL.

This is so we can use the leave in clockify to update our LOB that someone is booked off, to help with resource planning/booking staff in on our LOB to specific jobs.

Everything I have seen for this, seems to be using a 3rd party app combined with the API, is there a way to not need a 3rd party app and use the API to extract the data into SQL?

2

Google how to use the sp_OACreate , sp_OAMethod , and sp_OADestroy stored procedures in SQL Server to interact with COM objects and make HTTP requests. Should be reasonably straightforward, but do have to open up a few security permissions

1 Like
3

Clockify does offer an API that allows you to interact with your data programmatically. While you can use the Clockify API to extract data and integrate it with SQL databases, you will likely need some programming or scripting skills to set up this integration. Here’s a general outline of how you can go about it:

  1. To use the Clockify API, you’ll need to obtain an API token from Clockify. You can usually generate this token from your Clockify account settings.
  2. Decide which programming language you want to use for extracting data from the Clockify API and inserting it into your SQL database. Common choices include Python, Node.js, Ruby, or others depending on your team’s expertise.
  3. Use your chosen programming language to make HTTP requests to the Clockify API to retrieve the data you need. Clockify’s API documentation will provide details on how to structure these requests to access information such as leaves, projects, or time entries.
  4. Once you’ve retrieved the data from Clockify, you may need to transform it into a format suitable for your SQL database. This might involve converting JSON responses from the API into SQL insert statements or CSV files.
  5. Use a library or connector in your chosen programming language to establish a connection to your SQL database. Common libraries for this purpose include pyodbc for Python, node-postgres for Node.js, or pg for Ruby.
  6. Insert lead data enrichment into SQL. Write code to insert the extracted and transformed data into your SQL database. You’ll typically use SQL INSERT statements to add records to the appropriate tables.
  7. Depending on your needs, you may want to automate the data extraction and insertion process by creating a script or program that can be scheduled to run at specific intervals (e.g., daily or weekly).