Real Estate API Pricing Comparison 2026

Real estate API pricing is notoriously opaque. Most providers require a sales call before you see a single number. If you've spent an afternoon clicking through "Contact Us" forms just to learn what an API costs, you're not alone.

This guide covers what's publicly known, explains the common pricing models, and gives you a framework to estimate costs for your project. Where pricing isn't public, we say so. No guessing, no made-up figures.

Pricing Models in Real Estate APIs

Before comparing specific providers, it helps to understand the four pricing structures you'll encounter.

Per-Call Pricing

You pay for each API request, regardless of how much data comes back. A property search returning 200 results costs the same as one returning 3. This model is simple to understand but can get expensive fast if your application makes high-volume queries. Zillow and RentCast use variations of this model.

Per-Record Pricing

You pay for each property record returned in the response. A search returning 200 properties costs more than one returning 3, but a search returning zero results costs nothing (or very little). This model is more predictable for data-heavy applications because you only pay for data you actually receive. Stream.Estate uses this approach.

Tiered Packages

Fixed monthly fee that unlocks a volume tier and specific feature sets. Go over the tier and you either get cut off, throttled, or charged overage fees. Most enterprise APIs — ATTOM, HouseCanary, RealEstateAPI — use some version of tiered packaging, though the exact tiers are behind a sales conversation.

Freemium

A free tier with limited calls or features, with paid plans layered on top. Good for prototyping and small-scale projects. Zillow, RentCast, and Mashvisor all offer free tiers. The catch: free tiers often exclude the most valuable endpoints or impose strict rate limits.

Pricing Comparison Table

Here's what we know. "Custom" means you need to talk to sales.

A few things stand out. Five of the nine providers don't publish pricing at all. Of those that do, the range is wide — from free (Zillow) to $599/month (Mashvisor Professional). Stream.Estate sits in between with plans starting at €99/month.

What the Public Pricing Actually Looks Like

For the providers that share numbers, here's the detail.

Stream.Estate offers three tiers plus pay-as-you-go. Starter is €99/month (15,000 items included, €0.003/item overage). Growth is €399/month (150,000 items, €0.002/item overage) — this is their most popular plan. Scale is €799/month (350,000 items, €0.0015/item overage). There's also a pay-as-you-go option at €0.01/item with no commitment. Billing is based on the number of property records returned, not the number of API requests. PropTech startups can get the Growth plan at 50% off for 12 months through their startup program.

Zillow is free up to 1,000 calls per day per dataset. That's generous for prototyping or low-traffic consumer apps. The ceiling is MLS data access, which is invite-only and controlled by Zillow and its MLS partners.

RentCast gives you 50 free API calls per month. Paid plans scale with volume, and the pricing is listed on their website. It's one of the more transparent providers in the US market.

Mashvisor starts free at 30 API calls per month. The Basic plan runs $299/month for 100 requests, and Professional costs$599/month for 250 requests. That works out to roughly $2–3 per API call, which is expensive on a per-call basis — but each call returns processed investment analytics, not raw data.

ATTOM, HouseCanary, RealEstateAPI, TovoData, and Realtyna all require a sales conversation. ATTOM does offer a sandbox with a free trial key, which is useful for evaluating the API before entering a pricing discussion. HouseCanary advertises a price match guarantee across their tiers. Beyond that, you'll need to request a quote.

Hidden Costs to Watch For

The sticker price is rarely the full picture. Here are the costs that catch teams off guard.

Overage charges. What happens when you exceed your tier's volume limit? Some providers charge steep per-record or per-call overages. Others throttle your requests or cut you off until the next billing cycle. Ask explicitly before signing.

Minimum commitments. Many enterprise APIs require 6-to-12-month contracts. Breaking early usually means paying out the remainder. If you're evaluating a new data source for a project that might pivot, a long commitment is a real risk.

Setup and onboarding fees. Some providers charge for onboarding, especially at the enterprise tier. This might include dedicated support, custom endpoint configuration, or data pipeline setup. It can add several thousand dollars to your first invoice.

Data type surcharges. A base plan might cover property listings but not valuations, historical transactions, or environmental risk scores. Each additional data category can be a separate line item. Read the feature matrix carefully — "access to 9,000 data attributes" might require the top-tier plan.

Rate limit penalties. Hitting rate limits doesn't always mean your requests just wait in a queue. Some providers return errors that your application needs to handle gracefully, and some count throttled requests against your quota anyway.

How to Estimate Your Costs

Before you talk to any sales team, run through this framework.

1. Count your queries. How many API calls will your application make per month? Include search queries, property detail lookups, and any polling for updates. A property search app might make 10,000 searches per month. A batch analytics pipeline might make 500 large queries.

2. Count your records. For per-record APIs like Stream.Estate, the number of properties returned per query matters more than the number of queries. A search returning 50 properties per page across 200 queries is 10,000 billable records.

3. Factor in growth. If your user base doubles in six months, will your API costs double too? Per-call and per-record models scale linearly with usage. Tiered plans give you a ceiling until you jump to the next tier.

4. Ask for a trial. Most providers offer sandboxes or trial periods. Test with your real query patterns, not toy examples. The goal is to understand what a typical month of usage looks like before you commit.

5. Optimize before you scale. For Stream.Estate specifically, use itemsPerPage=0 to get counts first (it's free), then only pull full records when your application actually needs them. This simple pattern can cut your bill significantly if you're running frequent searches to check for new listings.

Cost Optimization Strategies

Regardless of which API you choose, these practices keep costs under control.

Cache property data locally. Property records don't change every minute. Cache listing data and set reasonable TTLs. Don't re-fetch the same property details on every page load.

Use webhooks instead of polling. If your provider supports webhooks or push notifications for new listings, use them. Polling an API every five minutes to check for updates burns through your call quota fast.

Filter queries tightly. On per-record APIs, fewer results mean lower costs. Use geographic bounds, price ranges, property type filters, and date constraints to pull only what you need.

Use count endpoints before full queries. Run a count query to validate your filters before requesting full property records. If a broad filter returns 50,000 properties and you only need 500, tighten the filter before pulling data.

Negotiate annual contracts. Most providers offer 15–20% discounts for annual commitments. If you've validated the API during a trial and know you'll use it long term, the savings are worth locking in.

Bottom Line

If you need US data and have a small budget, start with Zillow's free tier or RentCast. Both let you build and ship without spending anything upfront. For rental investment analysis, Mashvisor gives you processed metrics at a premium per-call price.

For serious US data needs — deep property records, valuations, or predictive analytics — expect to get on a call with ATTOM or HouseCanary. Their pricing isn't public, but their datasets are the most comprehensive available.

For French and European property data, Stream.Estate is the primary option with transparent, tiered pricing. The per-record billing model rewards tight filtering and smart query patterns.

The biggest takeaway: don't pick an API based on list price alone. Test with your actual usage patterns during a trial period. The cheapest API per call might cost you more if it doesn't have the data you need, forcing you to combine multiple providers.

Further Reading

For details on what each API actually provides, see Top 10 Real Estate APIs in 2026. New to real estate data APIs? Start with What Is a Real Estate Data API?. Ready to start building? Our Developer Integration Guide covers authentication, pagination, and production best practices with code examples.