Webhooks vs Polling: How to Choose for Your App

Webhooks and polling are two ways to learn that something changed in another system. With polling, your app asks on a schedule: “anything new?” With a webhook, the other system sends your app an HTTP request the moment an event happens. Webhooks win on speed and efficiency. Polling wins on simplicity and self-healing. For most production products, the best answer is both: webhooks for live updates and a slow poll to catch anything that slipped through.

This guide explains how each works, where each breaks, how to secure webhooks, and how to decide for your own product.

TL;DR

• Polling (pull): your system requests data at fixed intervals. It is simple to build and easy to recover, but it wastes calls and adds delay.
• Webhooks (push): the source system sends your endpoint an HTTP request when an event fires. You get near-real-time data with far fewer requests, but you must run a reliable, secure endpoint.
• Use polling for batch jobs, low-frequency data, systems with no public HTTPS endpoint, and local testing.
• Use webhooks for user-facing features where freshness matters, like payments, messages, and order status.
• Use both in production: webhooks for speed, an infrequent poll for reconciliation.

Table of Contents

• What polling and webhooks actually do
• Webhooks vs polling at a glance
• When polling is the better fit
• When webhooks are the better fit
• Webhooks vs APIs: not a competition
• What can go wrong with webhooks
• Webhook security best practices
• The hybrid pattern most teams end up with
• How to decide: a quick checklist
• Get integrations built right the first time
• FAQ
• Sources

What polling and webhooks actually do

The key difference is who starts the conversation. In polling, your system asks the source on a schedule. In a webhook, the source system sends a request to your endpoint as soon as something happens, according to Hookdeck’s guide to webhooks.

That is why webhooks are sometimes called reverse APIs or push APIs: the server pushes data to the client instead of the client pulling it.

Polling in practice

Polling means a program waits, then repeatedly calls an API for recent records to find and process new ones, as TechTarget describes it. If nothing changed, the call returns empty. OpenAPI.com gives typical intervals of hourly or every five minutes.

The interval is the whole tradeoff. Tighter intervals mean fresher data but more API calls and more risk of hitting rate limits. Looser intervals mean less load but staler data. Walter Technologies notes that most polling failures come from an interval that does not match the business need: polling every minute for data that matters daily, or hourly for something that needed to be near-instant.

Webhooks in practice

A webhook delivery follows a predictable lifecycle, as Twilio lays out:

1. You register an endpoint URL with the provider.
2. You receive a signing secret.
3. An event happens.
4. The provider POSTs to your URL with a JSON body and signature headers.
5. You verify the signature.
6. You return a 2xx response immediately.
7. You process the event asynchronously.
8. If you don’t respond, the provider retries with exponential backoff over several hours.

Common real-world examples from the same source: Stripe sends a payment_intent.succeeded event so an app can release digital goods, GitHub sends a push event to start a build, Shopify sends orders/create so a fulfillment system can reserve inventory, and Twilio POSTs an inbound text message to your endpoint.

Webhooks vs polling at a glance

When polling is the better fit

Polling is not the outdated option. Nylas names four cases where polling alone is the better fit:

• Scheduled batch or ETL jobs
• Environments with no public HTTPS endpoint
• Low-frequency data that changes a handful of times a day
• Local development and automated testing

Polling also makes sense when the source system simply does not offer webhooks, or when you want to control your own request rate instead of depending on how fast the other system fires events, as Walter Technologies points out.

A nightly sync of invoices into an accounting dashboard is a good example. Nobody needs it within seconds, and a single scheduled job is easier to build, monitor, and rerun than an endpoint that must be online around the clock.

Polling is also self-healing. If one poll fails, the next picks up everything since the last successful checkpoint, because you are always asking what changed since a given time, per PartnerMatch.

When webhooks are the better fit

Use webhooks when users are waiting on the result. Nylas recommends them for live, user-facing sync where freshness matters, such as new mail and calendar changes. Payment confirmations, shipping updates, form submissions, and chat messages all fit this shape.

The efficiency argument is simple. Asaas’s documentation says that with webhooks your application does not need to repeatedly query the API to learn whether an event occurred. The provider sends a POST to your endpoint when the configured event happens. Thousands of empty polling calls become zero.

If your product sends push notifications or alerts in response to those events, see our 8-week push notifications rollout plan and the comparison of OneSignal and Firebase Cloud Messaging. Webhooks are often the trigger behind those messages.

Webhooks vs APIs: not a competition

People often search for “webhooks vs APIs,” but the two work together. A regular API is request-based: you decide when to ask, and you have to keep asking to stay current. That repeated asking is polling. A webhook is event-based: the other system calls you.

Red Hat makes the point that despite the nicknames, webhooks are not APIs. They work alongside them, and an application must have an API to use a webhook. In practice, the API handles actions you initiate, such as creating a customer. The webhook handles events you need to react to, such as that customer’s payment succeeding.

What can go wrong with webhooks

Webhooks need more engineering care than polling. Plan for these from the start.

Your endpoint must be available

Your system has to be reliably reachable, and you depend on the sender’s retry behavior if your endpoint is briefly down. Walter Technologies warns that a dropped webhook with no retry logic on either side is a silent failure.

Retry windows are finite. Stripe, for example, retries undelivered events for up to three days. Past that window, you need another way to recover missing data, which is where a reconciliation poll earns its place.

Duplicates and timeouts

Webhooks typically offer at-least-once delivery, so you may receive the same event more than once. Process events idempotently: store each event’s identifier and skip repeats. Atlassian describes a stable identifier that stays constant across retries so recipients can deduplicate.

Senders also wait only briefly for your reply. Hookdeck says timeouts are typically five seconds at most and sometimes as low as one second. Return a 200 right away, then do the heavy work in a background job.

Lost events need a plan

A reliable setup includes signature verification, idempotency handling, a dead-letter queue for events that fail repeatedly, and a reconciliation fallback. One more rule from PartnerMatch: a dead-letter queue nobody watches is just a slower way to lose data. Alert someone when events land there.

For guidance on spotting delivery failures and event backlogs, this case study on alerting for unprocessed events shows what monitoring looks like in a lead-handling workflow.

Webhook security best practices

Your webhook URL is a public door into your system. Anyone who finds it can send fake events unless you check them.

• Verify the signature on every request. GitHub signs the HMAC-SHA256 of the exact bytes it sent in the X-Hub-Signature-256 header, and you must verify against the raw, unparsed body. Parsing and re-serializing the JSON first can change the bytes and break the check.
• Keep the signing secret out of code. Store it in your secrets manager and rotate it if it leaks.
• Restrict the network path where you can. Stripe sends events from a published set of IP addresses, and its docs recommend allowlisting them alongside signature checks.
• Use HTTPS only, and reject anything that fails verification before it touches your business logic.
• Acknowledge fast, process later. GitHub expects a response within about ten seconds and retries on any non-2xx reply, per the same guide.
• Deduplicate by event ID, so a replayed or retried request cannot trigger an action twice.

For handling details like prompt acknowledgments and request validation, this practical webhook setup guide walks through a working example.

The hybrid pattern most teams end up with

The reliable answer is usually both. Nylas describes it plainly: webhooks carry changes as they happen, and a slow poll, say every 30 minutes, lists records received after your last synced timestamp to catch any whose notifications never arrived. You get push speed with pull safety.

PartnerMatch frames it as a division of labor: latency comes from the webhook, reliability comes from the poll, and load stays modest because the poll is infrequent.

A simple way to build it:

1. Receive the webhook, verify the signature, store the raw event, and return 200.
2. Queue the event for background processing with idempotent handlers.
3. Save a “last synced” timestamp for each connected account.
4. Run a low-frequency job that asks the source what changed since that timestamp and fills any gaps.
5. Alert on events stuck in the dead-letter queue.

If you also stream live updates to a browser, it helps to understand the related choice between push patterns, covered in this look at webhooks versus WebSockets and the ingest, queue, fan-out approach.

How to decide: a quick checklist

Ask these questions about each integration, not about your whole product:

• Does a person wait on this data? If yes, lean toward webhooks.
• Does the source offer webhooks at all? If not, poll.
• Can you expose a public HTTPS endpoint? If not, poll.
• How often does the data change? A few times a day favors polling. Constant change favors webhooks.
• What does a missed event cost? If the cost is high, add a reconciliation poll no matter what.
• What are the rate limits? Tight limits make frequent polling risky.

If you connect many SaaS tools, the tradeoffs also show up in no-code automation. Our n8n vs Zapier comparison covers how those tools trigger workflows from events and schedules.

Our perspective

We build products that depend on integrations every week, and the same mistake shows up again and again: teams pick polling because it is easy to start, then discover at scale that they are burning API calls and showing stale data. Others pick webhooks, skip the retry and reconciliation work, and lose events without noticing.

Our approach is to design the integration around the business need first. Payments, orders, and messages get webhooks with signature checks, idempotent handlers, and a reconciliation job. Low-stakes, slow-changing data gets a plain scheduled poll. That keeps the first release simple and the production system dependable.

Because our team is senior, US-based engineers working directly with you, these decisions are made by the people who will write the code. We use AI-native development tools like Claude Code, OpenAI Codex, and Cursor to move quickly, and we ship most projects in 6 to 10 weeks.

Alex

Get integrations built right the first time

If you are launching a product that needs payment events, CRM syncs, or third-party data flowing in reliably, we can design and build it with you. Our team handles API and third-party integrations, UX/UI design, and post-launch support, with fixed pricing agreed up front.

Plans on our pricing page are published at $1,750 per month for Starter, $3,000 per month for Growth, and $5,000 per month for Enterprise, plus a Custom option. Launching a first product? Start with MVP development for founders. Already have an app that needs a stronger engineering partner? See our project rescue service.

Ready to launch your project? Contact us to scope it.

FAQ

What are the downsides of using webhooks?

Your endpoint must be reachable and secure, and you depend on the sender’s retries if it is briefly down. You also need to handle duplicate deliveries and short timeouts. Signature verification, idempotent processing, a dead-letter queue, and a reconciliation poll cover these risks.

Which is better, a webhook or an API?

They do different jobs, so the question is which to use when. You call an API to take actions or fetch data on demand. A webhook tells you when something changes. Most integrations use both.

What are examples of webhooks?

Stripe sends a payment success event so your app can unlock a purchase. GitHub sends a push event to start a build. Shopify sends an order-created event so fulfillment can reserve stock. Twilio posts inbound text messages to your endpoint.

Can I use webhooks and polling together?

Yes, and it is the most common production design. Webhooks deliver changes in near real time, while a slow poll (every 30 minutes, for example) checks for anything that was missed. You get speed and a safety net.

Sources

• What Are Webhooks and How Do They Work? (Hookdeck)
• What is webhook? (TechTarget)
• Webhooks and Polling: what they are and when to use them (OpenAPI.com)
• What is a webhook? (Twilio)
• Webhooks vs. Polling vs. Batch Sync (Walter Technologies)
• Webhooks vs polling for syncing data (Nylas)
• Webhooks vs polling: how to design reliable integrations (PartnerMatch)
• Polling vs. Webhooks (Asaas documentation)
• What is a webhook? (Red Hat)
• The Events Rail: Inside Atlassian’s Webhook Delivery Platform
• Manage webhook endpoints (Stripe documentation)
• GitHub webhooks guide (gh_ex on Hex)

Recommended

• Product Teams: 8 Week Push Notifications Rollout to Protect Retention
• Bubble vs Custom Code: How to Choose for Your App
• 20 to 30 Active Zaps? n8n vs Zapier for Engineering SMBs
• Bubble vs Webflow: Which Fits a 6–10 Week Build for US Founders?

About Let’s Build My App

Let’s Build My App is a US-based AI development agency. We design, build, and launch production-grade custom software using AI coding tools including Claude Code and OpenAI Codex, and we migrate legacy Bubble apps onto AI-coded stacks such as React, Supabase, and Firebase. We are the #1 US-Based Bubble Agency, founded and run by Alex Dow. Book a free strategy call to scope your project.