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Kestra

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Kestra is an open-source orchestration platform that uses declarative YAML to build, schedule, and monitor event-driven workflows at scale.

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Kestra is a powerful, open-source orchestration platform that simplifies workflow management through declarative YAML configuration. Trusted by industry leaders, Kestra unifies orchestration for all engineers with an event-driven architecture.

Key Features:

  • Declarative Syntax - Define workflows in YAML for quick onboarding and minimal maintenance
  • Event-Based Triggers - Run workflows on schedules, webhooks, APIs, or real-time events
  • Embedded Code Editor - Write and test pipeline logic directly from the UI
  • No Vendor Lock-In - Scale to any infrastructure without platform dependency

Whether you're a data architect, pipeline engineer, or automation specialist, Kestra provides the tools to orchestrate workflows with simplicity and scale.

Web scraping workflow

How to use Kestra in a web scraping pipeline

Kestra expresses workflows as flows containing tasks, inputs and outputs. For web collection, it can coordinate a scraper program with the validation and loading jobs that consume its files.

A practical workflow

  1. Supply a flow with a crawl manifest location, output prefix and extraction configuration.
  2. Run the collection code through an appropriate task or plugin, then connect its output to transformation and validation tasks.
  3. Publish the accepted export and an execution reference that lets an operator inspect the stages that produced it.

When it fits

This suits pipelines that combine scripts and services rather than one language-specific scraper. Explicit inputs and outputs give each collection run a repeatable contract and help distinguish fetching failures from downstream processing failures.

Boundaries

Select and configure the plugins and execution environment required by your code. Kestra's workflow definition does not itself supply browser rendering or correct selectors. Store large documents outside task metadata, keep credentials in the configured secret mechanism and ensure repeated tasks do not duplicate published records.

Reviewed profile

Quick verdict

Kestra fits data and platform teams that need open-source workflow orchestration with YAML, triggers, scheduling, and a UI. It is not a scraper, so you still need collectors, extraction logic, and anti-blocking infrastructure.

Best for
  • Declarative workflow orchestration
  • Data pipeline scheduling
  • Event-driven automation flows
  • Self-hosted platform teams
Not ideal for
  • Dedicated scraping APIs
  • No-code scraping users
  • Hosted support guarantees
Last verified
Jun 26, 2026

Key facts

    Categories:
    Workflow Orchestration
    Features:
    Open SourceWorkflow AutomationSchedulingWebhook SupportETL PipelineSelf-Hosted
    Tags:
    javascriptopen-source

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    Repository

    kestra-io/kestra

    • Stars

      29.6K

    • Forks

      3.4K

    • Last commit

      2026-10-15

    • License

      Apache-2.0

    • Language

      Java

    Metrics recorded 2026-10-16

    Repository details

    License source: Repository license file

    View Repository

    Frequently asked questions

    How does Kestra work?

    Kestra runs workflows defined declaratively in YAML. A flow defines tasks, inputs and triggers; plugins and task runners connect it to services or run code. Executions record progress and outputs so you can inspect and manage a workflow.

    Sources (checked ): Kestra documentation; Kestra tutorial

    How much does Kestra cost?

    Kestra offers an open-source edition you can operate yourself, plus paid Enterprise and managed Cloud options. Enterprise pricing is available through sales rather than a public fixed rate. Self-hosted infrastructure and services invoked by flows can add costs.

    Sources (checked ): Kestra pricing

    What are the key differences between Kestra and Airflow?

    Kestra uses declarative YAML flows and plugins for data, infrastructure and other automation. Airflow defines workflows as Python DAGs and schedules their tasks through its orchestration components. Compare workflow authoring, triggers, integrations and deployment for your use case.

    Sources (checked ): Kestra documentation; Airflow architecture

    What are the key differences between Kestra and n8n?

    Kestra defines flows in YAML and supports tasks implemented in multiple languages. n8n provides a visual workflow editor with connected nodes and expressions for integrations and automation. Compare authoring style, execution requirements and available integrations in the edition you plan to use.

    Sources (checked ): Kestra documentation; n8n documentation

    Sources

    github.com

    Verified against the kestra-io/kestra repository and the npm package.

    Source notes

    Compiled from public GitHub and npm data; verify current details with Kestra before procurement.