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guides7 min readApril 12, 2026

Webhook vs Polling: When to Use Each (And When to Use Both)

Webhooks push data to you the moment something happens. Polling pulls data on a schedule. Both patterns have trade-offs — latency, complexity, reliability, and cost. This guide breaks down exactly when to use each, with real-world examples from payments, CI/CD, and data sync scenarios.

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Abinash B
April 12, 2026

The Core Difference

There are two ways for one system to learn about changes in another:

  • Polling — you ask the source "has anything changed?" on a schedule (every 30 seconds, every minute, every hour)
  • Webhooks — the source tells you when something changes by POSTing to your endpoint the moment it happens

Polling is the pull model. Webhooks are the push model. Both work. Neither is universally better. The right choice depends on your latency requirements, the provider's API, and how much you care about reliability vs simplicity.


When Webhooks Win

Low latency is required

If a user places an order and you need to trigger fulfilment within seconds, polling on a 60-second interval means up to 60 seconds of unnecessary delay. A webhook fires the moment the order is created.

Real-world examples where latency matters:

  • Payment confirmation → provision access immediately (Stripe payment_intent.succeeded)
  • Push to main branch → trigger CI build within seconds (GitHub push event)
  • Customer places order → start picking workflow (Shopify orders/create)
  • PagerDuty alert → page on-call engineer immediately

Event volume is unpredictable

If events arrive in bursts (Black Friday orders, a viral launch, a CI pipeline with 50 parallel jobs), polling at a fixed interval either misses events or hammers the API during quiet periods. Webhooks fire exactly once per event — no wasted requests, no missed bursts.

The provider charges for API calls

Many APIs have rate limits or per-call costs. Polling 60 times per hour, 24 hours a day costs 1,440 API calls per day even when nothing has changed. Webhooks cost zero API calls during quiet periods.


When Polling Wins

The source doesn't support webhooks

Many legacy systems, internal databases, and file-based integrations have no webhook mechanism. If you're watching an S3 bucket for new files, or monitoring a database table for changes, polling is your only option unless you build a change-data-capture layer on top.

You need guaranteed delivery without building infrastructure

Webhooks require a publicly reachable HTTPS endpoint. If your system runs behind a firewall, in a private VPC, or on a developer's laptop, receiving webhooks is non-trivial without a relay (like webhook forwarding). Polling works from anywhere that can make outbound HTTP requests.

Eventual consistency is acceptable

If you're syncing a product catalogue from Shopify to an internal database, a 5-minute delay is probably fine. Polling every 5 minutes is simpler to build and debug than setting up webhook receivers, signature verification, retry logic, and idempotency handling.

You need to backfill or recover missed events

Webhooks are fire-and-forget from the sender's perspective. If your endpoint was down when events fired, you may have missed them (depending on the provider's retry window). Polling can always re-fetch from a known timestamp. For systems where auditability matters, polling against an event log is more reliable than depending on webhook delivery.


Side-by-Side Comparison

DimensionWebhooksPolling
LatencyNear real-time (milliseconds)Up to one polling interval
Infrastructure neededPublic HTTPS endpointOutbound HTTP only
API call costZero during quiet periodsConstant (interval × time)
Missed event recoveryDepends on provider retry policyRe-poll from last cursor
ComplexitySignature verification, idempotency, retry handlingPagination, deduplication, cursor management
DebuggingHarder — asynchronous, provider-drivenEasier — synchronous, you control timing
Works behind firewallNo (without relay)Yes
Provider supportRequired from providerAny REST API

The Hybrid Pattern: Webhooks + Polling Fallback

Many production systems use both. The pattern:

  1. Webhooks for real-time updates — process events as they arrive, update your local state
  2. Periodic polling as a fallback — every 15 minutes, poll the API for any events since your last known cursor. This catches any webhooks that were missed due to delivery failures, endpoint downtime, or race conditions.

This is exactly what Stripe recommends for payment systems. Use payment_intent.succeeded webhooks for instant fulfilment, but also run a nightly job that fetches all PaymentIntents created in the last 24 hours and reconciles their status against your database.

The idempotency requirement is the same either way — whether an event comes via webhook or polling, your handler must be safe to call twice with the same data.


Webhook Reliability in Practice

Webhooks are more complex to operate than they appear:

  • Your endpoint must be up — if it's down when Stripe fires payment_intent.succeeded, Stripe retries, but with exponential backoff over up to 3 days. If you're still down at retry 18, you've missed the event.
  • Order isn't guaranteedpayment_intent.updated can arrive before payment_intent.succeeded even though the latter happened first
  • Duplicate delivery is normal — at-least-once delivery means the same event can arrive twice. Your handler must be idempotent.
  • Signature verification is mandatory — see our Stripe signature verification guide for implementation details

Tools like WebhookWhisper address these concerns: your public endpoint stays up even when your local server is down, events are logged so you can replay missed deliveries, and the forwarding layer adds retry logic on top of what the provider already does.


Polling Reliability in Practice

Polling is simpler but has its own failure modes:

  • Cursor drift — if you poll by created_at > last_seen and your clock is wrong, you miss events or re-process old ones
  • Rate limits — aggressive polling can exhaust API quotas, especially during business hours
  • Thundering herd — if many services poll the same API at the same interval, they all hit the rate limit simultaneously
  • Large result sets — polling for "all events since yesterday" on a high-volume API can return thousands of records per call

Decision Framework

Use this to decide:

Does the provider support webhooks?
  └─ No → Poll

Does your system have a public HTTPS endpoint (or can you set one up)?
  └─ No → Poll (or use a relay like WebhookWhisper)

Is sub-minute latency required?
  └─ Yes → Webhooks

Is the event volume bursty or unpredictable?
  └─ Yes → Webhooks (polling wastes calls during quiet periods)

Do you need bulletproof delivery with easy recovery?
  └─ Yes → Poll as fallback, even if you also use webhooks

Is this a simple internal sync where 5-min delay is fine?
  └─ Yes → Poll (simpler to build and debug)

For most modern integrations with providers like Stripe, GitHub, Shopify, Slack, or HubSpot — use webhooks as the primary mechanism and add a polling reconciliation job as a safety net.


Testing Your Webhook Handler

Once you've decided on webhooks, you need to test them locally. See our guides:

#webhooks#polling#architecture#api#real-time

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Webhook vs Polling: When to Use Each (2026) | WebhookWhisper