Schedule Expression Parser API

API ID 13158

Parse any scheduler expression, get the next execution times in any world time zone, and a plain language description of the schedule. Validate schedules before they reach production.

134 ms avg response

API Documentation

Endpoints

Request

Parses the given scheduler expression and returns the next execution times as universal timestamps, computed in the requested time zone, plus a plain language description of the schedule. Invalid expressions return a clear error.

Endpoint ID: 26704
GET https://zylalabs.com/api/13158/schedule+expression+parser+api/26704/parse+schedule+expression
INPUT PARAMETERS

Free test requests remaining: 3 of 3.


INPUT PARAMETERS

This endpoint does not require any input parameters.

API EXAMPLE RESPONSE
JSON
{"expression":"0 9 * * 1-5","timezone":"America/Sao_Paulo","human_readable":"At 09:00 AM, Monday through Friday","next_runs":["2026-07-13T12:00:00.000Z","2026-07-14T12:00:00.000Z","2026-07-15T12:00:00.000Z"]}
Parse Schedule Expression — CODE SNIPPETS

curl --location --request GET 'https://zylalabs.com/api/13158/schedule+expression+parser+api/26704/parse+schedule+expression' --header 'Authorization: Bearer YOUR_API_KEY' 


    

API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Schedule Expression Parser API simply include your bearer token in the Authorization header.

Headers
Header Description
Authorization Required Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.

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Overview

Understand and validate scheduler expressions before deploying them. One call parses the expression, computes the next execution times in the time zone you choose, and explains the schedule in plain language.

  • Up to twenty upcoming execution times, computed with correct daylight saving handling
  • Plain language description of the schedule
  • Any world time zone, so you never do offset math by hand
  • Invalid expressions return a clear error message, perfect for gating in delivery pipelines

Useful for validating schedules in continuous integration, showing next run times in dashboards and admin panels, and explaining existing schedules to non-technical stakeholders.

Schedule Expression Parser API FAQs

The Parse Schedule Expression endpoint returns a JSON object containing the parsed scheduler expression, the next execution times as universal timestamps, a plain language description of the schedule, and an error message if the expression is invalid.

The key fields in the response data include "expression" (the original schedule expression), "timezone" (the specified time zone), "human_readable" (a plain language description), and "next_runs" (an array of upcoming execution timestamps).

The response data is organized in a JSON format with key-value pairs. It includes the original expression, the requested time zone, a human-readable description, and an array of next execution times, making it easy to parse and utilize programmatically.

The primary parameters for the endpoint are "expression" (the scheduler expression to parse) and "timezone" (the desired time zone for the execution times). Users can customize their requests by specifying these parameters.

Typical use cases include validating schedule expressions in CI/CD pipelines, displaying upcoming execution times in dashboards, and providing clear explanations of schedules to non-technical stakeholders, enhancing understanding and communication.

Users can utilize the returned data by integrating the next execution times into applications, displaying the human-readable description in user interfaces, and using the error messages to troubleshoot invalid expressions before deployment.

Data accuracy is maintained through robust parsing algorithms that validate scheduler expressions and handle daylight saving time correctly, ensuring that the computed execution times are reliable and accurate for the specified time zone.

Users can expect standard data patterns such as consistent formatting of timestamps in ISO 8601 format, clear human-readable descriptions, and structured error messages for invalid expressions, facilitating easy integration and error handling.

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