Webhooks vs Polling: Which Integration Pattern Should You Use?

Teams often treat webhooks as the "modern" upgrade and polling as legacy. In production they solve different constraints: latency versus healability, push versus outbound-only networking. Picking on fashion is how integrations silently drift.

What each pattern actually does

GitHub's webhook docs put it cleanly: webhooks deliver data as events happen, instead of intermittently calling an API to see if data is available. You express interest once; the provider POSTs when something changes.

Polling flips the direction. Your job calls GET /things?updated_since=… on a timer, pages through results, and applies changes. You control the schedule and only need outbound HTTPS — which almost every firewall already allows.

Decision framework

The lever most checklists forget is direction of connection. Polling and on-demand API calls go out. Webhooks require the provider to reach in. If inbound is blocked, polling wins regardless of how much you want real-time updates.

Why webhooks feel unreliable in production

Providers usually deliver at least once. Expect duplicates, out-of-order events, and bursts of retries after your endpoint was briefly down. Stripe's webhook guidance assumes you will verify signatures, handle retries, and design handlers that stay correct when the same event arrives twice.

A durable consumer pattern:

• Verify the signature on the raw body before trusting the payload.
• Ack fast with 2xx; put work on a queue so provider timeouts do not multiply retries.
• Deduplicate with a stable event ID (or object version) before side effects.
• Monitor delivery failures and signature rejection rates — silent drops are the expensive failure mode.

Why polling still wins often

Polling is not elegant, but it is honest:

• Works with APIs that never shipped webhooks.
• Self-heals — a missed window is usually caught on the next run if you use cursors or updated_since.
• Needs no inbound networking, TLS termination for callbacks, or provider-specific retry folklore.

The costs are latency equal to your interval, more API usage, and careful backoff on 429s. Guard against overlapping runs so a slow poll does not start a second concurrent one.

The hybrid pattern for critical data

For anything touching money or access, treat webhooks as the fast path and polling as the safety net. Process events quickly for UX; separately, a scheduled job re-pulls recent state from the source API and idempotently upserts gaps. That is the pattern argued in practical integration write-ups such as Cesar Ayala's 2026 decision guide: trust webhooks for speed, never for completeness alone.

Two different idempotency concerns often get conflated:

• Webhook path — do not apply event evt_X twice.
• Reconcile path — converge on current truth even if you never saw every event.

Use an event-id claim for the first; a pure state upsert for the second.

Questions to ask before you choose

1. Does the provider offer webhooks for the objects you care about?
2. Can you expose and operate a public HTTPS endpoint with signature verification?
3. Is sub-minute latency a product requirement, or is hourly fine?
4. What happens if one update is missed for a day — annoyance, or a ledger problem?
5. Will API rate limits punish chatty polling as you scale tenants?

How much queueing, monitoring, and reconcile frequency you need depends on event volume and blast radius — that scope is set during discovery for your integration, not by a fixed timeline in a blog post.

If you are wiring third-party systems into a product API, our web and app development work includes integration design — webhook consumers, polling jobs, and the idempotent write paths that keep both safe. For backend-heavy API work, see also Node.js development.