Time & Attendance Integration



Watch the video demo to get an overview of the integration before starting the guide!

One of the best features of Zeal is how easily it can be integrated with other systems in order to automate traditionally manual processes. For example, many of our partners connect Zeal's APIs with a time and attendance system in order to automate the submission of Employee Checks.

While there are many things you can do with a time and attendance system, this guide will get us started by walking through a simple integration with a popular free time-keeping app, Clockify.

In this guide

  • How to set up a Clockify account.
  • How to stand up a server to convert Clockify Time Entry data to Zeal Employee Checks.
  • What the code does.

Clockify account setup

First, we'll create a Clockify account and generate an API key.

Navigate to the Clockify Signup Page and follow the steps to create an account. Once your account is created, navigate to your user settings, scroll to the bottom, and click Generate under the API section.

Clockify Setting Page - Generate API Key

Store the API Key for the next step.

Stand up the server

In this step, we'll set up a Node (Express) server to receive incoming data from Clockify. In order for webhooks from Clockify to reach our local server, we'll need to expose it to the internet. There are many ways of doing this, but we'll be using ngrok.

Associate a Zeal employee with our Clockify account

The first thing we'll want to do before we get our server up and running, is establish a connection between our Zeal Employee and our Clockify Account. In a production application, we'd establish a process to do this automatically whenever a new employee onboards to Clockify, but for now we'll do it manually.

Using your Clockify API key from the previous step, run the following curl command.

curl -H "content-type: application/json" -H "X-Api-Key: {{YOUR API KEY}}" -X GET https://api.clockify.me/api/v1/user

Use the id field from the response to add an external_id to your Zeal Employee.

curl --request PATCH \
     --url https://api.joinpuzzl.com/employees \
     --header 'accept: application/json' \
     --header 'content-type: application/json' \
     --data '
     "employee": {
          "employeeID": "{{employeeID}",
          "external_id": "{{clockifyUserID}}",
     "companyID": "{{companyID}}"

Now that our Employee is linked with our Clockify Account we can set up the server.

Set up an Express server

Clone our example repository at https://github.com/zeal-corp/zeal-clockify-integration-example.

git clone [email protected]:zeal-corp/zeal-clockify-integration-example.git

Create a .env in the root directory and add your Zeal Test API Key and the Company ID.




For the scope of this example, we'll only process time entries for one company so use the ID of the company containing the Zeal Employee from the previous step.

With our environmental variables configured, we can start the server by running npm run dev. You should see the following output in your terminal.

$ πŸ¦“πŸ¦“πŸ¦“ [SERVER_START]: Server is running at http://localhost:3000

Expose the server to the public web using ngrok

Next we'll need to install ngrok and configure our ngrok authorization token. Follow the instructions here to do so.

Once the configuration of ngrok is complete we can run the following line in the terminal to expose our Express server to the internet.

ngrok http 3000

An ngrok window will open in your terminal and display the following:

Session Status                online
Account                       Your Name (Plan: Free)
Version                       3.0.7
Region                        South America (sa)
Latency                       157ms
Web Interface       
Forwarding                    https://83d8-193-37-252-220.sa.ngrok.io -> http://

Connections                   ttl     opn     rt1     rt5     p50     p90
                              2       0       0.01    0.00    5.20    5.39

HTTP Requests

Copy the URL displayed next to the Forwarding field and store it for use in the next step. Note: don't stop ngrok or your Express server.

Forwarding                    https://83d8-193-37-252-220.sa.ngrok.io

Add a webhook URL in Clockify

Now we want to configure our webhook in our Clockify dashboard.

Navigate back to the user settings in Clockify and click Manage webhooks at the bottom.

Clockify Setting Page - Manage Webhooks

On the following page click Create New in the top right corner. In the modal the appears, as shown below, set the Endpoint URL to the ngrok URL from the previous step + /time-entry/timer-stopped (the path in our controller).

Create New Clockify Webhook

Set the Event to Timer stopped (me) then hit Create.

Testing the webhook

Now for the fun part: testing that it works!

Navigate to the time tracker in Clockify and click the "Project" button.

Click Create new project, give your project a name then hit Create.

Now click the Start button, wait at least 18 seconds, then hit the Stop button.



You must wait at least 18 seconds because shifts are measured on an hourly basis. We must have a time duration that's enough to be rounded to at least .01 hours otherwise we'll receive an error in the logs.

Clicking the Stop button will trigger the Timer Stopped (me) Event in Clockify and the data will be POSTed to your Express server. The time entry data represented in JSON looks similar to this:

  id: '{{timeEntryId}}',
  description: '',
  userId: '{{userId}}',
  billable: true,
  projectId: '{{projectId}}',
  timeInterval: {
    start: '2022-09-09T21:00:59Z',
    end: '2022-09-09T21:01:06Z',
    duration: 'PT7S'
  workspaceId: '{{workspaceId}}',
  isLocked: false,
  hourlyRate: null,
  costRate: null,
  customFieldValues: [],
  type: 'REGULAR',
  kioskId: null,
  currentlyRunning: false,
  project: {
    name: 'Blank Project',
    clientId: '',
    workspaceId: '{{workspaceId}}',
    billable: true,
    estimate: { estimate: 'PT0S', type: 'AUTO' },
    color: '#FF9800',
    archived: false,
    clientName: '',
    duration: 'PT7S',
    note: '',
    activeEstimate: 'NONE',
    timeEstimate: {
      includeNonBillable: true,
      estimate: 0,
      type: 'AUTO',
      resetOption: null
    budgetEstimate: null,
    id: '{{projectId}}',
    public: false,
    template: false
  task: null,
  user: {
    id: '{{userId}}',
    name: '{{yourName}}',
    status: 'ACTIVE'
  tags: []

The time entry data is received by our server and converted into a Shift that we then submit as an Employee Check to Zeal.

If everything was successful you should see a 201 HTTP response in the ngrok server.

HTTP Requests

POST /time-entry/timer-stopped 201 Created

Check the logs

Additionally, we can check the Clockify webhook logs to verify that a check was created.

Navigate back to the user settings in Clockify and click Manage webhooks at the bottom.

On the next page, click My Timer Stopped. This will open the logs for this webhook.

In the logs, we should see a successful entry. If we click the timestamp, we can view the response from our server with the Zeal employeeCheckID.

Finally, we can call Get Employee Check by ID to view the Employee Check.

curl --request GET \
     --url 'https://api.zeal.com/employeeCheck?companyID={{companyID}}&employeeCheckID={{employeeCheckID}}' \
     --header 'Accept: application/json' \
     --header 'Authorization: Bearer {{testApiKey}}'

Amazing! We now have a fully automated way of creating/updating Employee Checks in Zeal. Now, let's take a peek at the code that got us here.

Code review

The app (server) has two main sections that would be helpful to review:

  1. The initial configuration on startup.
  2. The handler for the /time-entry/timer-stopped route.

App configuration

Looking into src/config/app.config.ts we can see that there are several variables that the app is dependent on that are being configured.

// snippet from app.config.ts

const port = process.env.PORT || 3000;
let zealClient: ZealClient;
let companyID: string;
let defReportingPeriods: any[];

async function configureAppVars() {
  if (!process.env.ZEAL_TEST_KEY || !process.env.ZEAL_COMPANY_ID) {
    throw Error(
      "Missing Configuration: Please add your ZEAL_TEST_KEY and ZEAL_COMPANY_ID in your .env file."
  } else {
    zealClient = ZealFactory.fromDefaultClient(process.env.ZEAL_TEST_KEY);
    companyID = process.env.ZEAL_COMPANY_ID;
    defReportingPeriods = await getDefReportingPeriodsByPayday(



In a production app, we'd likely rely on a database to store data such as the companyID and defReportingPeriods, but we wanted to keep this app as simple as possible so we chose to use this workaround.

Let's walk through the ones that may not be readily apparent:

  1. zealClient: this is basically an wrapper for the commonly used axios library for making HTTP requests. This Zeal module found in src/services/zeal simply helps us make requests to Zeal's API.
  2. companyID: nearly all requests to Zeal's API require a company ID to be passed as a parameter so we initialize that here for later use.
  3. defReportingPeriods: this establishes a list of Reporting Periods that our app can reference internally, instead of having to make a call to the Zeal API every time we receive Time Entry data from Clockify.



You can see the reporting periods the app is establishing by visiting
http://localhost:3000/reporting-periods after the app starts.

A few more words on defReportingPeriods:

Every Zeal Employee Check should be scoped to a particular Reporting Period that describes when the work was completed. Zeal supports every potential Reporting Period for a given calendar year. Since our app is determining the Reporting Period automatically, based off the time entry data we get from Clockify, it's useful to filter the all potential Reporting Periods down to only the ones that fit our desired pay schedules.

For the purpose of this example, the logic found in src/config/defReportingPeriods.config.ts
defines a ruleset that employees should be on a weekly pay schedule and that the Reporting
Periods should end one week before any given payday.



For Example:

If the payday is "Fri", then Reporting Period for a 2022-09-30 check date should be 2022-09-17 - 2022-09-23.

Time Entry Controller

The main functionality of the app is defined in src/controllers/timeEntry.controller.ts. Looking into the code, we can see there are 3 main process the app performs whenever it receives Time Entry data from Clockify:

// snippet from timeEntry.controller.ts

export async function handleTimeEntry(
  req: Request,
  res: Response,
  next: NextFunction
) {
  try {
    const employee = await findEmployeeByClockifyID(req.body.userId);
    const reportingPeriod = findReportingPeriod(req.body.timeInterval?.start);
    const check = await createOrUpdateEmployeeCheck(

      .json({ success: true, employeeCheckID: check.employeeCheckID });
  } catch (e) {
    return next(e);
  1. The app pulls the Clockify userId from the request body and makes a call to Zeal to find an Employee with a matching external_id field.
// snippet from timeEntry.controller.ts

export async function findEmployeeByClockifyID(clockifyUserId: string) {
  const employees = await zealClient
      external_id: clockifyUserId,

  if (employees.length) {
    return employees[0];
  } else {
    throw new ResourceNotFoundException("Zeal Employee");
  1. It pulls the start time from the request body and searches our defReportingPeriods to find the Reporting Period that the start time falls within.
// snippet from timeEntry.controller.ts

// Note: this helper function is called by #findReportingPeriod
export function findMatchingReportingPeriod(
  reportingPeriods: any[],
  startDate: string
): any {
  const reportingPeriod = reportingPeriods.find((rp) => {
    const isDateWithinRP = startDate >= rp.start && startDate <= rp.end;
    return isDateWithinRP;
  return reportingPeriod;
  1. It checks if there is an existing Employee Check for this Reporting Period and then makes a request to Zeal to either create a new check or update the existing check.
// snippet from timeEntry.controller.ts

export async function createOrUpdateEmployeeCheck(
  req: Request,
  employee: any,
  reportingPeriod: any
) {
  /* #buildShift takes the time entry data and converts it
    to a Zeal Shift Object */
  const hourlyShift = buildShift(req.body.timeInterval);

  const existingCheck = await getAnyExistingCheck(

  if (!existingCheck) {
    return await createCheck(employee.employeeID, reportingPeriod, hourlyShift);
  } else {
    return await updateCheck(existingCheck.employeeCheckID, hourlyShift);


Ultimately, there is a bit more complexity involved in the app, but this is the main functionality. We hope that this overview gives you a great foundation to explore and expand the application as you see fit. Happy hacking!


As you can see, with this fairly simple integration, we are able to automate the submission of time entry data that a payroll admin may traditionally have to input manually or through CSV upload. We hope that this dive into managing time and attendance data with Zeal inspires you to develop new and creative ways to improve your payroll systems. We at Zeal are excited to partner with you every step of the way!