Pushing Timesheet Data and Events to Clockify Using Python

As a follow up to my recent post, we can easily push timesheet data to Clockify using their API.

Clockify API Tokens

To get your API tokens, navigate to https://clockify.me/user/settings :

Clockify Workspace ID

To get your workspace ID:

  1. Navigate to https://clockify.me/workspaces/
  2. Click SETTINGS

  1. Copy the alphanumerical component of the URL

Python Code

The following code snippet is an example Python script that pushes event data to Clockify. The functions and CLI can either add a single event at a time or upload a CSV of many events. The code may also be found in my snippets repo.

The previously obtained API token and workspace ID can either be set as environment variables or set using command line arguments.

The following non-standard library packages are required: fire, pandas, and requests.

import datetime
import logging
import os
from pathlib import Path
from typing import Optional

import fire
import pandas as pd
import requests

logger = logging.getLogger(__file__)

def add_event(
    description: str,
    duration: float,
    date: str,
    token: Optional[str] = os.getenv("CLOCKIFY_API_TOKEN"),
    workspace_id: Optional[str] = os.getenv("CLOCKIFY_WORKSPACE_ID"),
    # validate API variables
    if not workspace_id:
            "workspace_id argument or CLOCKIFY_WORKSPACE_ID env variable must be set"
    if not token:
        logger.error("token argument or CLOCKIFY_API_TOKEN env variable must be set")

    # set clockify api URL
    url = f"https://api.clockify.me/api/workspaces/{workspace_id}/timeEntries/"

    # build payload
    # start_dt is set to noon else clockify might set it the day before.
    start_dt = datetime.datetime.combine(
        datetime.date.fromisoformat(date), datetime.time(hour=12)
    end_dt = start_dt + datetime.timedelta(hours=duration)

    fmt = "%Y-%m-%dT%H:%M:%SZ"
    data = {
        "start": start_dt.strftime(fmt),
        "end": end_dt.strftime(fmt),
        "description": description,
    logger.info(f"Adding event: {data}")

    # post payload
    r = requests.post(url, json=data, headers={"X-Api-Key": token})
    logger.info(f"API response: {r}")

def add_csv(
    path: str,
    token: Optional[str] = os.getenv("CLOCKIFY_API_TOKEN"),
    workspace_id: Optional[str] = os.getenv("CLOCKIFY_WORKSPACE_ID"),
    path = Path(path).resolve()
    df = pd.read_csv(path)

    for _, s in df.iterrows():

if __name__ == "__main__":

Since this script is built with the awesome Python Fire library, it can easily be run as a command line tool:

# with implicit args
python3 push_clockify.py "My Event" 7 "2020-01-17"

# with explicit args
python3 push_clockify.py --description "My Event" --duration 7 --date "2020-01-17"
Nicholas Nadeau, Ph.D., P.Eng.
Nicholas Nadeau, Ph.D., P.Eng.
Founder / Fractional CTO

Nicholas Nadeau is a fractional CTO empowering startups with next-gen technology expertise, and a passion for driving corporate innovation. Stay informed on cutting-edge hard tech trends - subscribe to my newsletter. Ready to innovate? Discover my services and accelerate your growth.