---
title: "Webhooks vs. Polling for Fitness Data: How to Decide"
canonical: "https://aifitnessapi.com/learn/webhooks-vs-polling-for-fitness-data"
cluster: "Concepts"
primary_query: "webhooks vs polling for fitness data"
last_reviewed: "2026-08-12"
description: "Which fitness providers push and which make you poll, when a scheduled pull is the right call, and why most production integrations end up running both."
publisher: "AIFitnessAPI — independent, not sponsored"
cite_as: "\"Webhooks vs. Polling for Fitness Data: How to Decide\", AIFitnessAPI, https://aifitnessapi.com/learn/webhooks-vs-polling-for-fitness-data"
---

# Webhooks vs. Polling for Fitness Data: How to Decide

> The first question is not which transport is better but whether you have a choice, because the provider often decides for you: Garmin pushes to callback URLs you register and does not let you poll, Android Health Connect has no push mechanism at all, and Strava, WHOOP and Fitbit offer an opt-in subscription on top of a pollable REST API. Poll when you have no public endpoint, when freshness is measured in hours, or when your user count sits comfortably inside per-user quotas like Fitbit's roughly 150 requests per hour per consented user. Push when arrival is unpredictable and quota pressure makes timer-based fetching expensive. Expect a hybrid either way: most fitness webhooks carry a pointer rather than data, so the webhook is really a cache-invalidation signal, and a low-frequency reconciliation poll stays as the only thing covering what the push stream drops.

- Canonical: https://aifitnessapi.com/learn/webhooks-vs-polling-for-fitness-data
- Last reviewed: 2026-08-12
- Publisher: AIFitnessAPI (https://aifitnessapi.com) — independent, not sponsored
- Cite as: "Webhooks vs. Polling for Fitness Data: How to Decide", AIFitnessAPI, https://aifitnessapi.com/learn/webhooks-vs-polling-for-fitness-data

---

## Who actually gets to choose

Across the integrations documented on this site, the delivery model varies far more than the generic advice suggests, and the column that matters is the third one — what each model obliges you to build before you can ship anything at all.

| Provider (as our guides document it) | Delivery model | What that forces on you |
|---|---|---|
| Garmin | Push only. You register HTTPS callback URLs per summary type and Garmin POSTs to them; our integration guide states flatly that you do not poll | A public, signed endpoint is a prerequisite, not an optimisation |
| Android Health Connect | No push at all. Google documents that your app cannot get notified of new data | You check on foreground lifecycle events and periodically while foregrounded — a poll is the only mechanism that exists |
| Apple HealthKit | On-device observer queries with background delivery, gated by an entitlement | Push-shaped but not a webhook, and Apple stops sending background updates after three failures to call the completion handler |
| Strava | Pollable v3 REST API plus an opt-in Events API webhook, documented as one push subscription per application | You choose, but the per-app subscription cap constrains how you route environments |
| WHOOP | REST pulls plus an optional webhook URL registered on your app | You choose |
| Fitbit | REST pulls at roughly 150 requests per hour per consented user, plus a subscription API | You choose, and the per-user quota is what prices the choice |
| Terra (aggregator) | Push by default to one Destination webhook, with REST available for backfill | You get push whether or not you planned to build for it |

Two things fall out of that table. Garmin removes the choice in one direction and Health Connect removes it in the other, so the genuine decision only exists for part of your provider list. And if you integrate more than two sources you will be running both transports regardless — which means the useful question is not "which one" but "how does one pipeline absorb both".

## When polling is genuinely the right answer

Push gets treated as the automatically-correct modern answer far more often than it deserves. Polling wins outright in several ordinary situations:

- **You have no public HTTPS endpoint and won't have one soon.** A tunnel gets you through a provider handshake and one manual smoke test, but it proves reachability rather than correctness and has no business being a CI dependency. If your backend isn't publicly addressable yet, a scheduled pull ships this week and a webhook pipeline does not.
- **Your freshness requirement is measured in hours.** A weekly progress email, a nightly training-load recompute, a monthly export. Nothing about those improves if the data lands three minutes after the watch syncs instead of at 03:00.
- **You have few users and generous per-user quotas.** Fitbit's limit is roughly 150 requests per hour *per consented user*, so a tight loop on one account trips a 429 for that account without touching anyone else's budget. At fifty users on a thirty-minute interval you are nowhere near the ceiling, and [the 429 page](/fix/fitbit-api-429-rate-limit) exists for the loops that are, not for schedules that aren't.
- **You need determinism more than latency.** A pull happens because you asked: ordered, replayable, failing in your own logs, with coverage that is a property of your cron rather than of a stranger's retry policy.

None of that is a fallback position. It is the correct engineering answer for a real class of product.

## When push earns what it costs to build

Push is worth it when arrival is genuinely unpredictable and the cost of guessing is high. Wearable data has no schedule — it appears whenever a device syncs — so any interval you pick is simultaneously too slow for the user who just finished a run and too fast for the eleven hours they were asleep. That is the shape polling handles worst.

The second driver is quota, and it is arithmetic rather than taste. Strava's documented defaults sit around 200 requests per 15 minutes and roughly 2,000 per day overall. Divide that by your user count and the maximum honest poll frequency falls out immediately; for most consumer-scale apps it lands somewhere embarrassing. Push moves you from spending budget on the question to spending it only on the answer.

What it costs is the part worth being honest about. A working webhook path needs a verified endpoint, signature checking over raw bytes, a delivery-dedupe layer, a versioned write so an out-of-order event can't roll back good state, a dead-letter queue, and a purge story for the delivery table because it is a copy of the user's health data. That design is a page of its own — see [webhook ingestion for health data](/architecture/webhook-ingestion) — and sequencing the cutover without losing days of data is another, in [migrating from polling to webhooks](/migrate/polling-to-webhooks). Budget it as a re-integration, not a flag flip.

## The hybrid is the real answer, and here is why it isn't a compromise

The framing "webhooks *versus* polling" quietly assumes the webhook delivers data. Mostly it doesn't. Strava's event carries an object id, an owner id, an object type and an aspect type; the values are not in there. Across cloud fitness providers the notification is a pointer: something about this user, in this window, for this metric, has changed — go look.

Once you accept that, the two transports stop being rivals. **The webhook is a cache-invalidation signal and the fetch is still a pull.** You are polling either way; the webhook's contribution is telling you precisely when and which window, so you stop guessing.

It also makes the reconciliation poll obviously necessary instead of vestigial. If the effect of an event is "re-fetch this window and replace what you hold for it", then a scheduled sweep over a rolling recent window is *the same operation on a timer*. It reuses your existing fetch worker and covers exactly the failures push cannot: your endpoint returning 502 during a deploy, a delivery dropped in transit, or a provider that stopped talking to you under a disable policy you never found documented.

| Job | Which mechanism owns it |
|---|---|
| Learning that something changed, quickly | The webhook |
| Learning that nothing was missed | The reconciliation sweep |
| Actually retrieving the values | One fetch worker, shared by both paths |

Keep the sweep permanently, not just through cutover. Its frequency is a cost dial, not a correctness dial — that is the whole benefit of having push in front of it.

## What neither choice can fix

There is a freshness ceiling neither transport touches. Data travels device to vendor phone app to provider cloud before anything reaches you, and each hop runs on its own schedule — often every few minutes to hourly, sometimes only when the user opens the vendor's app. A webhook fires only once the cloud has the data. So "real-time" here means real-time relative to the provider's servers, never relative to the user's body.

If your product promises sub-minute feedback during a set, no delivery model gets you there; that is an on-device problem, not an ingest one. And when a workout looks missing, the first question is which hop is slow rather than whether your subscription is broken — [wearable data delayed](/fix/wearable-data-delayed) separates the two. If the concept itself is new, [what webhooks are](/learn/what-are-webhooks) covers the mechanics this page assumes.

## The decision, compressed

1. Read the provider's delivery model first. For Garmin and Health Connect there is nothing to decide.
2. Write your freshness requirement as an actual number of minutes. Most teams discover it is larger than they assumed.
3. Multiply users by intended poll frequency and compare it against the per-user quota. If the product of those numbers is comfortable, poll and move on.
4. If you go with push, cost it as a re-integration with dedupe, ordering and a dead-letter queue — not as an endpoint.
5. Keep a low-frequency reconciliation sweep in either case. It is the only part of this that is genuinely not optional.

## FAQ

### When is polling actually the right choice for a fitness integration?

When you have no public HTTPS endpoint yet, when your freshness requirement is measured in hours rather than minutes, or when your user count sits well inside the provider's per-user quota. A weekly summary email or a nightly training-load recompute gains nothing from push. Polling is also the only option on Android Health Connect, where Google documents that your app cannot get notified of new data, so you check on foreground lifecycle events and periodically while foregrounded.

[Permalink](https://aifitnessapi.com/learn/webhooks-vs-polling-for-fitness-data#faq-1)

### How often should I poll a wearable API when there is no push option?

Work it out from the quota rather than from taste: divide the provider's documented limit by your user count and by the number of calls each sync needs. Fitbit's limit is roughly 150 requests per hour per consented user as of 2026, which is generous for a per-user schedule but easy to burn with a tight loop. Strava's documented defaults are around 200 requests per 15 minutes and roughly 2,000 per day overall. Verify both against current docs, and stagger schedules so users are not all refreshed at once.

[Permalink](https://aifitnessapi.com/learn/webhooks-vs-polling-for-fitness-data#faq-2)

### Which wearable providers push data and which make you pull it?

It varies more than people expect. Our Garmin guide documents push only, with callback URLs registered per summary type and no polling. Android Health Connect has no push at all. Apple HealthKit offers on-device observer queries with background delivery, gated by an entitlement. Strava, WHOOP and Fitbit all expose a pollable REST API plus an opt-in subscription or webhook. Terra, as an aggregator, pushes normalized data to a single Destination webhook by default. Confirm each against current provider docs before designing around it.

[Permalink](https://aifitnessapi.com/learn/webhooks-vs-polling-for-fitness-data#faq-3)

### Do webhooks make wearable data arrive faster than the device syncs?

No. Data travels from the device to the vendor's phone app to the provider's cloud before anything reaches you, and each hop runs on its own schedule, often every few minutes to hourly and sometimes only when the user opens the vendor app. A webhook fires only once the provider's cloud has the data. Push shortens the last hop, not the chain, so sub-minute feedback during a workout is an on-device problem rather than a delivery-model choice.

[Permalink](https://aifitnessapi.com/learn/webhooks-vs-polling-for-fitness-data#faq-4)

### Is running a scheduled poll alongside push delivery wasteful?

No, and it is usually the correct architecture. Because most fitness notifications are pointers rather than data, the effect of an event is to re-fetch a window and replace what you hold for it, which is exactly what a scheduled sweep does on a timer using the same fetch worker. The sweep is what covers a deploy where your endpoint returns 502, a dropped delivery, or a subscription disabled under a policy you never found documented. Push lets you turn its frequency down; it does not let you remove it.

[Permalink](https://aifitnessapi.com/learn/webhooks-vs-polling-for-fitness-data#faq-5)