Let's Scrape vs HasData for Zillow: Which API Fits a Small Listing Tracker?

A two-person analytics team wants its Austin listing tracker to run before breakfast. The job searches for two-bedroom homes from $300,000 to $650,000, stores normalized JSON, and alerts only when it sees a new Zillow property ID. The code is small. The plan decision is less obvious.

For this 750-request monthly workload, Let's Scrape is the leaner paid entry at $13.90 per month. HasData starts at $49 per month, but its shared 200,000-credit balance can cover up to 40,000 successful Zillow requests. That extra capacity is useful when the same team also calls HasData's other APIs. Pricing and limits were checked on July 30, 2026.

Let's Scrape vs HasData for Zillow: the 30-second answer

Pick Let's Scrape for one small Zillow tracker when predictable request billing and a low monthly commitment are the main constraints. Pick HasData when you expect the workload to grow beyond 15,000 calls, want a 30-day trial, or can use a shared credit balance across several data sources. Neither choice is universally better.

Test the Zillow endpoint on RapidAPI

What our Austin listing tracker actually needs

The workload is an editorial scenario, not a provider benchmark. The job runs once each morning for 30 days. It makes one search call and can make up to 24 follow-up calls for unseen candidates. That gives a conservative ceiling of 25 calls per day and 750 calls per month.

The application treats the Zillow property ID as an idempotency key. A record whose ID is already in seenPropertyIds is not new, even if its position in the search response changed overnight. Price is checked again because the alert depends on the selected range.

A verified Zillow request for the morning job

We ran this request from a Windows development workspace on July 30, 2026. It returned HTTP 200 with an API envelope status of 200 and 29 listings in about 12.5 to 13.2 seconds. The API key is deliberately omitted.

// morning-listing-watch.js
const endpoint = new URL(
  "https://real-estate-zillow-com.p.rapidapi.com/v1/search/sale"
);
endpoint.search = new URLSearchParams({
  location_or_rid: "Austin, TX",
  listing_types: "agent",
  sort: "newest",
  doz: "1",
  page: "1"
});

const response = await fetch(endpoint, {
  headers: {
    "x-rapidapi-host": "real-estate-zillow-com.p.rapidapi.com",
    "x-rapidapi-key": process.env.RAPIDAPI_KEY
  }
});

if (!response.ok) throw new Error(`Zillow HTTP ${response.status}`);
const payload = await response.json();
if (payload.status !== 200) throw new Error(payload.description);

const seenPropertyIds = new Set(loadSeenPropertyIds());
const newListings = payload.data.listings.filter((listing) =>
  listing.beds === 2 &&
  listing.unformattedPrice >= 300000 &&
  listing.unformattedPrice <= 650000 &&
  !seenPropertyIds.has(String(listing.zpid))
);

The exact two-bedroom check stays in application code. During the test, an attempted maximum-bedroom query did not restrict the result set, while filtering listing.beds === 2 did. That is a useful example of why a tracker should validate its response instead of assuming every optional query parameter was applied.

{
  "status": 200,
  "data": {
    "listings": [{
      "zpid": "[REDACTED]",
      "address": "[REDACTED], Austin, TX 78745",
      "unformattedPrice": 425000,
      "beds": 2,
      "baths": 2,
      "area": 1137,
      "detailUrl": "https://www.zillow.com/homedetails/[REDACTED]/"
    }]
  }
}

A separate property-details test did not pass. The documented /v1/property endpoint returned an internal status 400 saying that url or zpid was missing, even when each parameter was supplied. We therefore use only the successful search response as the runnable example and would retest details before making it part of the morning job.

Run this Zillow request on RapidAPI

What does the same workload cost?

The calculation starts with requests, then converts only where a provider bills in credits.

30 runs × (1 search + up to 24 details) = 750 requests/month
HasData credits: 750 successful requests × 5 credits = 3,750 credits
Let's Scrape requests: 750 requests = 750 plan requests

The 750-call ceiling fits either paid plan. Let's Scrape leaves 14,250 requests unused; HasData uses 3,750 of 200,000 shared credits. The difference is not whether the morning job fits. It is whether the team wants the lowest cash commitment or a much larger balance that can support other work.

Where HasData makes more sense

HasData is a sensible choice when the tracker is one part of a broader extraction system. Its credits are shared across APIs, and Startup includes more capacity than this Zillow-only job needs. The 30-day trial is also better suited to a longer evaluation than 25 calls. Those benefits justify the higher entry price when the team will actually use them.

HasData also makes sense when growth is already scheduled. A job that will soon cover many cities or run several times per day can consume the smaller request allowance quickly. Model that future workload explicitly instead of buying capacity because a larger number looks safer.

Where Let's Scrape keeps the project lean

Let's Scrape keeps the decision close to the current job: one Zillow response, one request counter, and a $13.90 monthly floor. The API is delivered through RapidAPI, so the application uses the familiar host and key headers. The response already exposes the seven fields needed for the first version.

The trade-off is real. The free allowance is only 25 requests, and our property-details retest found a regression. A small team should run a contract test before every release and keep its alert job safe when a follow-up endpoint fails.

Prototype, small production tracker, or higher volume?

For a prototype, HasData's longer free evaluation may be more comfortable, while Let's Scrape's 25 calls are enough for a narrow schema check. For this small production tracker, Let's Scrape has the lower paid entry and ample request headroom. For a higher-volume team using several sources, HasData's shared balance can be the better purchase.

Continue with the purpose-built versus general scraper comparison or see how ScrapingBee credits change the same workload. The decision remains conditional: pay for the response contract and capacity your next deployment will use.

Start your Zillow listing tracker

Sources checked July 30, 2026

• Let's Scrape Real Estate Zillow.com on RapidAPI
• HasData pricing
• HasData API credit pricing
• HasData Zillow Listing API documentation