If you need property updates in seconds, I’d use webhooks. If delay is fine, I’d use polling. If I want speed plus a safety check, I’d use both.
Here’s the short version:
- Webhooks send updates when something happens
- Polling checks for updates on a schedule
- For about 2,400 property changes per day, webhooks create about 2,400 deliveries
- With 60-second polling, the same setup can create 14.4 million API calls per day
- In that example, about 99.98% of polling calls return nothing new
- Webhooks are often delivered in about 200 ms to 2,000 ms
- Polling delay depends on the interval, with 60-second polling causing up to 60 seconds of lag
So if you handle lead routing, price drops, listing status changes, or contact updates, webhooks are usually the better fit. If you run nightly refreshes, batch jobs, or work in locked-down systems that only allow outbound HTTPS, polling is still a solid choice.
What I’d do is simple:
- Use webhooks for time-sensitive events
- Use polling for batch work and backfills
- Use a hybrid setup if you want fast event delivery and a way to check for missed updates
Stop Polling APIs - Use Webhooks Instead
Quick Comparison
| Method | How it works | Typical speed | API usage | Best for | Main risk |
|---|---|---|---|---|---|
| Webhooks | Provider pushes events to your endpoint | ~200 ms to 2,000 ms | Based on actual event count | Leads, listing changes, alerts, CRM updates | Missed events if delivery fails and retries expire |
| Polling | Your system asks for changes on a schedule | Based on interval | Based on how often you check | Nightly syncs, property enrichment, checkpoint recovery | High call volume and stale data between checks |
| Hybrid | Webhooks for events, polling for checks | Fast for alerts, scheduled for sync | Mixed | Teams that want speed plus recovery | More setup than using one method |
Bottom line: if seconds matter, I’d start with webhooks. If cost control, backfills, and simpler recovery matter more than low delay, I’d keep polling in the mix.
How webhook delivery works for property data
Webhook delivery matters most when an event needs action right away.
When a property or contact event happens, the provider sends a JSON payload to your HTTPS endpoint. That payload includes what downstream systems need in one request: property identifiers, event type, timestamp, and enriched contact fields.
Latency, load, and cost advantages of push-based delivery
Because request volume drops to actual events, webhook delivery usually costs less than scheduled polling. It also cuts server load. Provider systems no longer have to answer empty status checks, and consumer systems no longer have to run polling schedulers and parse empty responses. In event-driven cloud setups, resources scale to event volume instead of a fixed polling schedule.
Failure handling: retries, signatures, and idempotency
Webhooks come with a few failure risks that polling doesn't. The good news? Each one has a clear fix.
- Retry with exponential backoff: If your endpoint returns a non-2xx response or times out, the provider queues a retry after a growing delay. Deliveries that run out of retries land in a dead-letter queue for review or replay.
- Signature verification: Providers compute an HMAC-SHA256 signature over the raw request body with a shared secret and send it in a header like
X-Signature. Reject any request that doesn't match. - Idempotency: Each payload includes a unique event ID. Store processed IDs and skip any that already exist, using upsert logic keyed by property ID and event timestamp to handle duplicates cleanly.
Return 200 OK right away, then process the event asynchronously. That helps you avoid retries caused by slow handlers.
Those safeguards make push delivery dependable enough for production workflows.
Where webhooks fit best: lead routing and time-sensitive enrichment
Lead routing is the clearest use case. If a webhook fires the moment a new seller lead is captured, it can trigger assignment logic and notify an agent before a polling cycle would have spotted the event.
Enrichment completion is another strong fit. When a skip trace or phone verification job finishes in BatchData workflows, a webhook can send the result into the CRM right away.
Property status changes also fit well here. A price drop, a back-on-market event, or an active-to-sold transition all have time value. Webhooks let platforms refresh search results, send buyer alerts, and update investor dashboards in near real time.
Polling makes more sense when some delay is fine; the next section covers that trade-off.
How polling works for property search and scheduled refreshes
When updates don't need instant push delivery, polling is often the simpler fallback. It works by checking a real estate API on a fixed schedule and pulling changes since the last run. Common cadences range from every 1–5 minutes for near-real-time property search monitoring to nightly runs for bulk refreshes.
Latency limits and the cost of repeated API checks
Polling gives you a clear trade-off: shorter intervals improve freshness, but they also drive up call volume. If you check every 5 minutes, a new listing status change could sit undetected for as long as 5 minutes, with an average detection delay of about 2.5 minutes. Cut that interval to every 60 seconds, and the average delay drops to about 30 seconds, but API call volume climbs fast.
Here's the catch: most polling calls return nothing new. At scale, those empty checks eat up bandwidth, compute, and rate-limit quota for little return. It's a bit like walking to the mailbox every minute when the mail only comes once a day.
Where polling is still a practical fit
Even with that overhead, polling still makes sense for several common real estate workflows.
Property search refreshes: Nightly portfolio refreshes are a good fit when freshness can wait until business hours.
Batch enrichment jobs: Batch enrichment also fits well because these jobs are usually checked until they finish, then pulled in bulk.
Lead monitoring in restricted environments: Polling also works in setups that allow outbound HTTPS only, which is common in banks, mortgage servicers, and government agencies.
Why polling is easier to recover but harder to scale
One of polling's biggest strengths is recovery. It always re-reads current state. So if your system goes offline for two hours overnight, you can resume with last_updated_after set to the pre-outage timestamp and backfill everything the provider still keeps in its change history - no replay requests and no coordination with the provider. If a nightly job fails, you can rerun it from the same last_updated_after checkpoint without duplicating records.
The pain shows up as volume grows. Polling doesn't scale well. Moving from one metro to statewide or national coverage multiplies scheduled calls, response volume, and downstream processing. Teams usually deal with that by using delta endpoints that return only modified records and by adjusting polling intervals based on activity - checking hot markets more often while slowing down for segments that change less often.
Webhook API vs. polling: direct comparison for property data
Webhooks vs Polling for Property Data: Key Metrics Compared
Latency, server load, and infrastructure cost
Here’s where the gap gets hard to ignore.
For a benchmark of 10,000 resources with about 1% changing per hour, webhooks would process roughly 2,400 actual events per day. Polling every 60 seconds would trigger 14,400,000 API calls per day, and about 14,397,600 of those would come back with no new data. That means 99.98% of calls return no new data.
The cost adds up fast too. Polling every 30 seconds runs about $1.04 per month per endpoint in serverless compute alone.
| Factor | Webhooks | Polling | Practical Impact |
|---|---|---|---|
| Average latency | <1 second | ~half the interval (e.g., 30 sec for a 60-sec poll) | Webhooks win for anything time-sensitive |
| API calls/day (10K resources, 1% change/hr) | ~2,400 | 14,400,000 (60-sec interval) | Polling generates ~6,000× more calls |
| Wasted requests | 0% | 99.98%+ | Direct infrastructure cost difference |
| Infrastructure model | Event-driven, spiky | Steady baseline capacity | Polling requires constant provisioning |
That’s the core tradeoff: webhooks act when something happens. Polling keeps asking, over and over, even when nothing changed.
Speed matters, but recovery matters just as much.
Missed updates, reliability, and failure recovery
Webhooks and polling break in different ways.
With webhooks, the main risk is missed delivery. If your endpoint is down or responds too slowly, the provider retries. But if the retry window runs out, the event may still be lost. That’s why webhooks need monitoring and replay controls.
With polling, the main risk is missed timing. If your job is offline, you miss whatever changed during that gap. The usual fix is to recover with checkpointed re-reads.
| Failure Mode | Webhook Response | Polling Response | Operational Tradeoff |
|---|---|---|---|
| Consumer endpoint down | Provider retries; events can be lost if the retry window expires | Resume with a date-range or checkpoint-based poll | Polling recovers more independently |
| Duplicate delivery | Idempotent processing required | Re-reading the same window returns the same records; deduping is simpler | Webhooks need explicit idempotency logic |
| Provider outage | Events may not be generated at all | Next poll catches up automatically on recovery | Polling is more resilient to provider-side gaps |
| Silent failure (no alert) | Requires delivery monitoring and dead-letter queues | Monitor schedule adherence and lag | Both need observability; webhook gaps are harder to spot |
In plain English: webhooks are faster at first notice, but they demand tighter operations. Polling is easier to recover after an outage, but it costs more to run all the time and gets heavier as your coverage grows.
Which approach fits each workflow: property search, enrichment, and lead routing
The right choice depends on the shape of the job. Is it event-driven, or is it request-driven?
Property search is request-driven. A user asks for something specific in real time, so on-demand API calls make more sense than event delivery.
Bulk enrichment fits scheduled batch work. In that setup, polling keeps costs easier to plan for.
Lead routing is where webhooks shine. When a lead fills out a form or a listing matches a buyer’s saved search, delay hurts. Even with a 60-second polling interval, you still get an average lag of 30 seconds and a worst case of a full minute.
| Workflow | Recommended Approach | Reason |
|---|---|---|
| Property search | Polling / on-demand API | Request-driven; user defines what's needed in real time |
| Bulk enrichment | Polling / batch API | Scheduled, high-volume, tolerates latency |
| Portfolio refresh | Polling (nightly, incremental) | Freshness can wait until the next scheduled run |
| Lead routing | Webhooks | Sub-second delivery critical for fast follow-up |
| Market monitoring | Hybrid | Polling for broad trends; webhooks for specific triggers |
| Skip tracing | Polling / on-demand API | Targeted request against a known record or batch |
Conclusion: Choosing webhooks, polling, or a hybrid model
Given those tradeoffs, this choice comes down to operations, not theory. Pick the method based on how fast your workflow needs to react when data changes. Webhooks work best for time-sensitive workflows. Polling makes more sense for scheduled jobs and slower updates. In many property data setups, a hybrid model is the pattern that tends to work best: webhooks for urgent events, polling for reconciliation and bulk refresh.
Real estate integration teams that moved from scheduled polling to webhook-driven property update events reported up to an 80% reduction in API polling load while still delivering near real-time updates. That’s a big reason many teams settle on a hybrid setup.
If your team uses both patterns, BatchData supports webhook callbacks and scheduled jobs across property search, enrichment, skip tracing, phone verification, and bulk delivery.
Many teams start with polling first, then add webhooks where latency matters.
FAQs
When should I use a hybrid setup?
Use a hybrid setup when you need both immediate action and efficient large-scale data maintenance.
Use webhooks for time-sensitive events like new lead routing, listing status updates, or real-time property alerts. Use batch processing for high-volume, less urgent work like nightly portfolio enrichment, historical reporting, or full database reconciliations.
How do I prevent missed webhook events?
Use a hybrid setup: combine real-time webhooks with scheduled reconciliation.
Webhooks are fast, but they can fail or get dropped in transit. That’s why it helps to run a backup poller every 5 to 60 minutes to catch any missed records.
If delivery still fails after retries, send the payload to a dead-letter queue so your team can review it and reprocess it later.
A few other pieces matter here too:
- Use idempotency keys to handle duplicates
- Process events asynchronously so your endpoint can return HTTP 200 within 5 seconds
This setup gives you the speed of webhooks without leaving gaps when something goes sideways.
What polling interval makes sense for my workflow?
It comes down to how fast you need the data.
For time-sensitive jobs like lead routing, webhooks are the better pick. They can deliver updates with sub-500 millisecond latency, which matters when every second counts.
If polling is your main setup, most teams use intervals between 60 seconds and 15 minutes. If you're using polling as a safety net to catch webhook updates that might get missed, a 5- to 60-minute interval is common.
For high-volume bulk tasks that aren't urgent, a nightly batch sync is usually the most efficient option.
