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Use webhooks when an integration needs to react to events across many resources with low delay; use polling when checks are occasional, the scope is small, or the provider does not offer a suitable event subscription. Neither method guarantees instant updates: provider limits, delivery failures, receiver availability, and recovery behavior all affect how fresh your data really is.
Webhooks vs polling: what changes between them?
Both methods let an integration learn that data may have changed, but they put the initiative in different places.
| Approach | Who initiates the request? | What the integration does | Typical fit |
|---|---|---|---|
| Webhook | The service where the change occurs | Sends an event request to an endpoint you configure | Reacting to events across watched resources |
| Polling | Your application | Calls an API on a schedule to ask whether data has changed | Occasional checks or a small set of resources |
GitHub’s documentation describes webhooks as a way to receive information as it happens, in contrast with calling an API intermittently. That is a difference in delivery pattern, not a promise of zero delay.
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When should I use a webhook instead of polling?
Choose based on how fresh the data must be, how many resources you watch, what the provider supports, and which operational responsibilities your team can own. There is no general numeric workload threshold that makes one approach the right choice.
#1 Best Overall
Choose webhooks for event-driven freshness
- Your application needs to respond when a particular event occurs, rather than discover it at the next scheduled check.
- You watch many resources or expect frequent changes, so repeated API checks would be wasteful or put avoidable pressure on rate limits.
- The provider supports the events you need and documents a viable way to secure, retry, and recover deliveries.
Choose polling for occasional or small-scope checks
- Updates are infrequent, and a delay of one polling interval is acceptable.
- You need to inspect only a few resources or perform a one-off lookup.
- The provider has no suitable webhook, or the simplicity of scheduled reads outweighs the freshness benefit of an inbound receiver.
Consider a hybrid when missed changes matter
Where the provider exposes the necessary APIs, webhooks can serve as the fast path while scheduled reads reconcile state and help find changes that were delayed or missed. This is an architectural option, not a universal requirement: first confirm the provider’s retry and recovery facilities and what its APIs let you reconstruct.
What “real-time” can—and cannot—mean
Webhook delivery is event-triggered, but the event may still be delayed, retried, or not delivered successfully. Freshness depends on the provider’s delivery policy, your endpoint’s availability, and how quickly your system acknowledges and processes the event. Polling has a more visible delay: a change may wait until the next check, and the API call itself can be throttled or slow.
Rank #2
Do not design around an assumption that events arrive instantly or exactly once. Slack describes its Events API as best-effort and documents delivery limits and conditions that can temporarily disable subscriptions. GitHub recommends redelivering missed deliveries after an outage. Those policies are provider-specific, so check the documentation for the service you are integrating.
How the operational trade-offs compare
| Decision factor | Webhooks | Polling |
|---|---|---|
| Freshness | Can provide near-real-time notification; actual timing depends on provider delivery and receiver health. | Bounded by the chosen interval, API response behavior, and any throttling. |
| API request load | Can avoid repeated checks when events cover the resources and changes you care about. | Scheduled checks consume API requests; pagination and scope affect the work required. |
| Operational work | Requires a reachable, secure receiver, prompt acknowledgements, retry-aware processing, and a recovery plan. | Requires scheduling, sensible intervals, state tracking, pagination, and backoff when throttled. |
| Failure handling | Depends on provider retries and redelivery options; repeated or missed deliveries must be handled safely. | Depends on the poller continuing to run and recovering its schedule and state after errors or outages. |
| Security shape | Protect an inbound endpoint and validate each delivery as documented by the provider. | Protect API credentials and limit access to the data and methods the poller needs. |
How do I keep a webhook integration reliable?
A webhook endpoint should do as little as possible before acknowledging a delivery. Validate the request, record enough information to track it, place slower work on a queue, and let a worker perform the business logic. This keeps response time predictable and separates receipt from processing.
- Subscribe narrowly. Enable only the event types your application uses. Fewer irrelevant deliveries mean less noise and less work.
- Secure the endpoint. Use HTTPS with certificate verification enabled. Follow the provider’s documented secret or signature validation method, and do not put credentials in a payload URL.
- Validate before dispatch. Check the sender’s authentication data, then inspect the event type and action before deciding what work to enqueue.
- Acknowledge promptly. Return the success response required by that provider, then process slower work asynchronously. The deadline is not universal: GitHub documents a 2XX response within 10 seconds; Slack’s Events API uses a three-second response timeout for retry purposes.
- Make processing safe to repeat. Providers may retry a failed delivery, and an event may be encountered again. Track delivery identifiers and design state-changing operations to be idempotent. GitHub documents the
X-GitHub-Deliveryheader as a unique delivery identifier; redelivery retains the same ID. - Monitor and recover. Alert on failed deliveries, queue backlogs, and endpoint outages. Know how to inspect and redeliver missed events where the provider supports it; after a GitHub webhook outage, GitHub recommends redelivering missed deliveries.
Provider behavior is not interchangeable
Slack documents up to three retries for failed Events API requests: the first nearly immediately, the second after one minute, and the third after five minutes. It also offers configurable delayed-event retries, while documenting circumstances in which subscriptions can be temporarily disabled. These are Slack-specific behaviors, not defaults for webhooks generally. Confirm retry timing, acknowledgement rules, retention, and replay options for each integration.
How should I poll without wasting requests?
- Set an acceptable staleness window. Pick an interval based on how long the data may safely remain out of date, not on an arbitrary desire to check as often as possible.
- Keep the scope small. Request only the resources and fields needed, and use efficient pagination when the API returns results in pages.
- Handle throttling explicitly. Back off when the provider signals a limit rather than immediately repeating the same request. Slack’s Web API rate limits are evaluated per method and workspace; a 429 response includes a
Retry-Afterdelay. - Persist progress. Track the last successful check or other provider-supported cursor so a restart does not silently skip the state your integration needs to inspect.
- Watch for drift. Measure polling failures and request volume, and verify that the interval still fits the provider’s current limits and your freshness needs.
API limits can vary by method and change over time. A polling interval that is appropriate for one endpoint or workspace may not be appropriate for another.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What provider-specific limits should you plan around?
The figures below are examples from official documentation accessed on October 7, 2026. They describe particular products and are not industry-wide standards.
| Provider behavior | Documented value | What it means for your design |
|---|---|---|
| GitHub webhook acknowledgement | Return a 2XX response within 10 seconds. | Validate and enqueue promptly; do not wait for slow business processing before responding. |
| Slack Events API retry schedule | Up to three retries: nearly immediately, then after one minute, then after five minutes. | Expect provider-specific retry attempts, but do not treat them as a complete recovery system. |
| Slack Events API volume limit | 30,000 event deliveries per workspace/team per app per 60 minutes. | This is a Slack service limit, not a general webhook capacity figure or a direct measure against polling. |
| Slack Web API throttling | Limits are evaluated per method and workspace; a 429 response includes Retry-After. |
Make polling and other API reads respect the server’s retry delay and the applicable method limit. |
Because these rules are service-specific and may change, use the provider’s current documentation when setting production thresholds.
A practical decision checklist
- How stale can the data be before the application or user is affected?
- Does the provider expose every event you need, and can you recover missed changes?
- How many resources will you watch, and how often do they change?
- Can you operate an authenticated inbound endpoint that responds within the provider’s deadline?
- Can your system safely handle retries, repeated processing, and outages?
- If polling, can your interval, pagination, and backoff fit the applicable API limits?
If the need is event-driven and the team can operate the receiver and recovery path, webhooks are often the better fit. If checks are occasional or tightly scoped, polling can be simpler. Decide against the provider’s actual delivery and rate-limit policies, not the label “real-time.”
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