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Mock Webhook Payload Generator

Used by developers, writers, and creators worldwide.

A mock webhook payload generator gives you realistic JSON on demand — no waiting for a real GitHub push, Stripe charge, or Slack event to fire. Paste the output straight into curl, Postman, or a Jest fixture and your handler runs against properly structured data immediately. Webhook development is awkward without good tooling. Real events are hard to trigger on cue, hand-rolled payloads drift from the actual schema, and subtle field mismatches cause bugs that only surface in production. This generator supports GitHub, Stripe, Slack, and a generic format, producing randomized but structurally valid values — IDs, timestamps, amounts — so your parsing logic covers realistic data paths from day one.

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How to use

  1. Choose your options above
  2. Click Generate
  3. Copy your result

Detailed instructions

  1. Select the service you want to simulate from the Service dropdown (GitHub, Stripe, Slack, or Generic).
  2. Set the count field to the number of distinct payloads you need, then click Generate.
  3. Review each generated payload in the output list and click Copy on the one you want to use.
  4. Paste the JSON into curl, Postman, or a test fixture file to send it to your local webhook endpoint.
  5. Adjust the service or count and regenerate to get fresh random values for additional test scenarios.

Use Cases

  • •Feeding a local Express webhook endpoint with Stripe payment_intent payloads before a single card is charged
  • •Loading GitHub push event fixtures into a Jest test suite for deterministic, repeatable CI runs
  • •Populating a Postman collection with varied Slack event bodies to share across a backend team
  • •Reproducing a production parsing bug by replaying a controlled payload against your handler in isolation
  • •Generating sample payloads to illustrate webhook event structure in API onboarding docs or a README

Tips

  • →Generate three or four Stripe payloads at once to get varied amounts and IDs — good for testing currency formatting edge cases.
  • →Paste a GitHub push payload into a fixture file alongside your unit tests so CI never needs a live GitHub connection.
  • →When debugging signature verification failures, isolate the problem by first confirming your handler accepts the payload body itself using one of these mocks with signature checks temporarily disabled.
  • →The generic payload type is a fast starting point for internal microservice events — rename the event_type field to match your own naming convention.
  • →If your framework logs incoming webhook bodies, replace real production payloads in your logs with generated mocks when sharing debug output with teammates to avoid leaking customer data.
  • →Compare the generated schema against the service's official event reference once before writing your handler — this confirms which fields you can safely rely on versus fields that may be absent.

FAQ

how do I send a mock webhook payload to my local server

Copy the generated JSON, then run: curl -X POST -H 'Content-Type: application/json' -d '<payload>' http://localhost:3000/webhook. Swap in your actual port and route. To let a remote service reach your machine over HTTPS, pair this with ngrok.

can these payloads test stripe signature verification

Not directly. Stripe-Signature and GitHub's X-Hub-Signature-256 require an HMAC computed from your real secret and a live timestamp. Use these payloads to test parsing and routing logic, then compute a real HMAC manually when you need to exercise the signature check itself.

how close are the generated payloads to real webhook schemas

They mirror the real field names, nesting, and data types for each supported service, but use randomly generated values like fake IDs and amounts. That's sufficient for handler logic and JSON schema validation. For exact production fidelity, cross-check against the official event reference docs.