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Realtor.com Scraper API

Convert any Realtor.com listing or search page into structured JSON: address, list price, MLS number, beds/baths, photos, listing agent, and the full price-change timeline.

Listings & compsPrice historyAgent dataPer-field history
▸ Overview

Realtor.com is operated by Move and draws its for-sale inventory directly from MLS feeds, which makes its listings closely aligned with how the broker community actually markets a home. The Realtor.com Scraper API returns validated JSON with MLS numbers, list prices, property specs, and the listing agent or office attached to each record.

Teams use it to anchor their pipelines to authoritative MLS-sourced data rather than aggregated guesses, with per-field history that captures repricings and status flips across the US market. Pass a listing URL, property ID, or ZIP-coded search and every field arrives with its own dated change log.

Realtor.com Scraper API · request
# POST a target — get validated JSON back
curl https://api.crawlzo.com/v4/scrape \
  -H "Authorization: Bearer $CRAWLZO_KEY" \
  -d '{
  "url": "https://www.realtor.com.com/",
  "type": "listing",
  "geo": "us"
  }'

// ← response
{
  "status": "ok",
  "data": {
    "address": "...",
    "price": 645000,
    "currency": "USD",
    "beds": 3, "baths": 2, "sqft": 1840,
    "status": "for_sale",
    "lat": 30.27, "lng": -97.74
  }
}
"type": "listing", "geo": "us"
▸ What you can extract

Every public field, structured for you.

Realtor.com data parsed into clean, validated JSON. Pull any group below on its own, or combine them in a single request.

Listing details

  • Address, coordinates, property type
  • Beds, baths, square footage, lot size
  • Description, year built, HOA
  • Photos, virtual tour, MLS number

Price & history

  • List price and price per sqft
  • Price-change and status history
  • Estimated value and rent estimate
  • Tax assessment and history

Agent & broker

  • Listing agent and brokerage
  • Contact details where public
  • Office and license info

Search results

  • Ranked listings per area + filters
  • Map-bounds and polygon search
  • Price, beds, baths, type filters
  • Pagination across result pages

Property features

  • Interior and exterior features
  • Schools and neighborhood data
  • Days on market and listing status
▸ Built on the Crawlzo engine

The hard parts, already solved.

▸ What teams build with it

Common use cases.

[ 01 ]

MLS-aligned inventory and comp feeds

[ 02 ]

Brokerage lead-generation pipelines

[ 03 ]

New-listing alerts by ZIP and county

[ 04 ]

Agent and office market-share analysis

▸ FAQ

Realtor.com scraping, answered.

Structured JSON straight from the API, or pushed to your stack natively — S3, BigQuery, Snowflake, Postgres, Kafka, or any HTTPS webhook. Call it from Python, Node, Go, Rust, or any HTTP client. The data lands where your pipeline already lives.

No. You pay for valid, schema-passing rows only. Retries, blocks, CAPTCHAs, and 5xxs are on us. If a run doesn't return data that conforms to the schema, it isn't billed.

Every request routes through the same engine behind our Web Unblocker API: compliant residential IPs, real browser fingerprints, TLS-level evasion, behaviour modelling, and built-in CAPTCHA solving. Hard targets become routine.

Yes. We respect robots policies, rate budgets, and ToS-aware allow/deny lists. We deliver and move on — no row-level retention beyond your replay window. GDPR DPA, PII redaction, and custom data residency available on request.

REALTOR.COM DATA · ON TAP

Start pulling Realtor.com data this week.

Tell us the Realtor.com surface you need and the shape you want it in. We'll come back in 24 hours with a sampled output, a scoped plan, and a price. Pilot in week one.

Pay only for data delivered99.99% uptime SLA99% success rate100M+ proxies