What Is a Webhook? Definition, examples, and use cases
Quick Answer: A webhook is an HTTP callback that sends data from one application to another in real time when a specific event occurs. Instead of polling for changes, the source application sends an HTTP POST request with event data to a registered URL. Webhooks are the primary trigger mechanism in automation platforms like Zapier, Make, and n8n, enabling near-instant workflow execution when events occur in connected applications.
Definition
A webhook is an HTTP callback that sends data from one application to another in real time when a specific event occurs. Unlike traditional APIs where the consuming application must poll (repeatedly request) for new data, webhooks push data to a designated URL immediately after the triggering event. This event-driven communication pattern eliminates polling overhead and enables near-instant data synchronization between systems.
The receiving application registers a webhook by providing a URL endpoint to the sending application. When the specified event occurs (e.g., a customer places an order, a payment is processed, a file is uploaded), the sending application makes an HTTP POST request to the registered URL with event data in the request body, typically formatted as JSON.
How Webhooks Work
- Registration: Application B provides Application A with a callback URL (e.g., https://app-b.com/webhook/orders).
- Event occurs: A customer places an order in Application A.
- HTTP POST: Application A sends an HTTP POST request to Application B's callback URL with order data in the JSON body.
- Processing: Application B receives the request, validates the payload, and processes the data (creates a record, triggers a workflow, sends a notification).
- Response: Application B returns an HTTP 200 status code to confirm receipt. If Application B returns an error, Application A may retry the delivery.
Webhooks vs Polling vs WebSockets
| Aspect | Webhooks | Polling | WebSockets |
|---|---|---|---|
| Direction | Server pushes to client | Client requests from server | Bidirectional |
| Latency | Near-real-time (seconds) | Up to one polling interval | Real-time (milliseconds) |
| Connection | Stateless HTTP (new connection per event) | Stateless HTTP (repeated requests) | Persistent connection |
| Resource usage | Efficient -- only fires when events occur | Wasteful -- runs even when no new data | Efficient but requires connection management |
| Scalability | Scales with event volume | Scales with polling frequency x endpoints | Limited by concurrent connection capacity |
| Use case | Application integrations, automation triggers | Legacy systems without webhook support | Live chat, real-time dashboards, gaming |
Webhook Security Considerations
- Signature verification: Sending applications sign webhook payloads with a shared secret (HMAC-SHA256). The receiver verifies the signature to confirm the request came from the expected sender. Stripe, GitHub, Shopify, and most SaaS platforms include signatures in webhook headers.
- HTTPS enforcement: Webhook URLs should always use HTTPS to encrypt data in transit.
- IP whitelisting: Some organizations restrict webhook receipt to known IP ranges of the sending application.
- Replay protection: Include timestamps in webhook payloads and reject payloads older than a threshold (e.g., 5 minutes) to prevent replay attacks.
- Idempotency keys: Include unique event IDs so the receiver can detect and ignore duplicate deliveries.
Webhooks in Automation Platforms
Webhooks are the primary trigger mechanism in modern automation platforms:
| Platform | Webhook Support |
|---|---|
| Zapier | "Instant" triggers use webhooks; custom webhook trigger available |
| Make | Instant triggers via webhooks; custom webhook module for any source |
| n8n | Webhook node creates custom endpoints; used by most instant triggers |
| Pipedream | HTTP webhook trigger with automatic request parsing |
| Power Automate | "When an HTTP request is received" trigger |
When a SaaS application supports webhooks, automation platforms use them for instant triggers. When webhooks are unavailable, platforms fall back to polling (checking for changes at intervals), which introduces latency and consumes API quota.
Common Webhook Events by Application
- Stripe: payment_intent.succeeded, customer.created, invoice.paid, charge.refunded
- GitHub: push, pull_request.opened, issues.created, workflow_run.completed
- Shopify: orders/create, products/update, customers/create, fulfillments/create
- Slack: message.channels, app_mention, reaction_added, member_joined_channel
Use Cases
- Payment processing: Stripe webhook fires when payment succeeds, triggering order fulfillment, receipt generation, and CRM update.
- CI/CD: GitHub webhook fires on pull request merge, triggering build, test, and deployment pipeline.
- Customer notifications: E-commerce webhook fires on shipping status change, triggering SMS and email notifications to the customer.
- Data synchronization: CRM webhook fires on contact update, triggering sync to email marketing platform and data warehouse.
Related Questions
Related Tools
Celigo
iPaaS built for the NetSuite ecosystem with pre-built connectors
Integration PlatformsCyclr
Embedded iPaaS for SaaS vendors to ship a native integration marketplace inside their own product UI.
Integration PlatformsHubSpot Operations Hub
Automate business processes and keep your CRM data clean
Integration PlatformsRetool
Internal tool builder with database connectors, API integrations, and workflow automation for business applications
Integration PlatformsRelated Rankings
Best Data Integration Platforms in 2026
A ranked list of data integration platforms in 2026. The ranking covers ELT/ETL tools, customer data platforms, and enterprise iPaaS products that move data between operational systems and analytical destinations. Entries cover managed ELT (Fivetran, Airbyte, Stitch), customer data platforms (Segment), and enterprise iPaaS (MuleSoft, Boomi, Oracle Integration Cloud, Jitterbit). Scoring reflects connector library size, ELT/ETL flexibility, reliability and SLA, pricing transparency, and real-time capability.
Best Automation Tools for Fintech and Financial Services in 2026
A ranked list of the best automation tools for fintech and financial-services organisations in 2026. This ranking evaluates platforms across SOC 2 and ISO 27001 posture, PCI DSS handling where applicable, data-residency controls, audit and governance capabilities, and the depth of integration with core banking, payments, and market-data systems. The ranking covers enterprise iPaaS (Workato, MuleSoft, Boomi), enterprise RPA (UiPath, Power Automate), self-hosted workflow automation (n8n), and enterprise data integration (Informatica). Entries are scored against the compliance, latency, and governance constraints typical of banks, lenders, payments companies, and asset managers.
Dive Deeper
Replacing a $40K/yr Workato Seat with Pipedream + n8n: What Broke
Anonymized retrospective of a mid-market SaaS company replacing a single $40,000/year Workato seat with a hybrid Pipedream + self-hosted n8n stack over five weeks. Direct tooling cost fell roughly 70%, but webhook delta handling, retry semantics, and observability gaps consumed most of the timeline.
Supabase vs Firebase 2026: Postgres Open-Source vs NoSQL on Google Cloud
Supabase (2020) is an open-source Postgres backend with pgvector, RLS, and self-host options from $25/month Pro. Firebase (2014, Google) is a proprietary NoSQL platform with Firestore and tight GCP integration. This 2026 comparison covers hosting, data model, AI/vector support, pricing, and vendor lock-in.
Fintech and Financial Services Automation in 2026
Fintech automation is governed by SOC 1/2, PCI DSS, GLBA, and model-risk expectations. This guide covers the compliance frame, high-ROI workflows (loan origination, AML triage, reconciliation, regulatory reporting), deployment patterns, and stack recommendations from startups to enterprise banks.