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Extract structured listing data — prices, specs, photos, agent details, and history — from 40+ property portals worldwide. One API, delivered as clean records ready for your models, dashboards, or database.
You point the API at a property, a search results page, or an agent's storefront. It handles rendering, proxy rotation, and CAPTCHA solving behind the scenes, then returns price, layout, location, photos, and listing history as clean JSON or CSV — no browser, no parsing, no blocked requests to manage yourself.
A property page, filtered search, or agency profile.
Headless rendering, IP rotation, CAPTCHA handling.
Currency, area units, and status codes standardized.
API response, warehouse table, or webhook event.
Powering search, valuation, and comparison tools with live multi-portal inventory.
Benchmarking listings and commission structures against competing agencies.
Screening deal flow and modeling yield across neighborhoods and asset types.
Sourcing comparable sales and price history to support valuations.
Building rent and price indices from continuously refreshed listing data.
Matching inventory across cities for clients moving markets.
Full detail set — price, layout, photos, agent — from a single property URL.
Feed in a search URL or filter set and receive every matching listing, paginated automatically.
Pull an agent or agency's full active portfolio for coverage and competitor tracking.
Track relistings, price cuts, and days-on-market — not just a single snapshot.
Submit thousands of addresses or URLs at once, or set a recurring refresh interval.
Roll individual listings up into area-level medians, inventory counts, and trends.
Field availability varies slightly by portal. Anything outside this standard set — open house schedules, HOA documents, walkability scores — can be added as a custom field.
| Category | Fields |
|---|---|
| Property identity | Address, listing ID, MLS / portal reference, property type, tenure, year built |
| Pricing | List price, price per sq ft/m², currency, price history, rent estimate, HOA / service charge |
| Status | Listing status, days on market, date listed, date sold/let, relisting flag |
| Layout & size | Bedrooms, bathrooms, floor area, lot size, floor number, parking |
| Location | Full address, geocoordinates, neighborhood, school zone, walk/transit notes |
| Media | Photo URLs, floor plan, virtual tour link, video walkthrough |
| Agent & agency | Agent name, agency, contact details, listings count, license ID (where public) |
| Amenities | Interior features, building amenities, outdoor space, furnishing status |
| Market signals | View count (where exposed), saved/favorited count, comparable listings, rank in search |
Three records from three regions — US resale, UK rental, UAE new-build. Values below are illustrative.
{
"listing_id": "RDA-RE-0088217",
"address": "412 Birchwood Lane, Austin, TX 78745",
"property_type": "Single Family",
"price": { "currency": "USD", "list_price": 674000, "price_per_sqft": 309 },
"layout": { "beds": 4, "baths": 3, "floor_area_sqft": 2180, "lot_size_acres": 0.21 },
"status": { "state": "Active", "days_on_market": 11, "listed_at": "2026-09-09" },
"agent": { "name": "M. Delacroix", "agency": "Birchwood Realty Group" },
"scraped_at": "2026-09-23T05:12:44Z"
}
# Fetch a single grocery product record for a specific pincode
curl -X POST https://api.realdataapi.com/v1/grocery/product \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"url": "https://www.example-grocer.com/p/EXAMPLE", "pincode": "380015"}'import requests
resp = requests.post(
"https://api.realdataapi.com/v1/grocery/product",
headers={"Authorization": "Bearer YOUR_API_KEY"},
json={"url": "https://www.example-grocer.com/p/EXAMPLE", "pincode": "380015"}
)
data = resp.json()
print(data["price"]["sale_price"], data["price"]["unit_price"])const res = await fetch("https://api.realdataapi.com/v1/grocery/product", {
method: "POST",
headers: {
"Authorization": "Bearer YOUR_API_KEY",
"Content-Type": "application/json"
},
body: JSON.stringify({
url: "https://www.example-grocer.com/p/EXAMPLE",
pincode: "380015"
})
});
const data = await res.json();Endpoint, parameters and key format above are illustrative — your onboarding call includes real credentials and the current endpoint reference.
A listing URL, address, search page, or agency link — via API or bulk upload.
Rotating IPs, headless rendering, and CAPTCHA handling run behind the scenes.
Content is mapped into the field set relevant to that portal's layout.
Currencies, units, and statuses are standardized across markets.
As JSON or CSV, or pushed to your webhook, warehouse, or database.
| Format | Best for |
|---|---|
| REST API (JSON) | Live, on-demand lookups embedded in your application |
| CSV / Excel export | Analysts and category teams working in spreadsheets |
| Webhook push | Event-driven pipelines reacting to price, promotion, or stock changes |
| Cloud storage drop (S3, GCS, Azure Blob) | Scheduled bulk feeds into a data warehouse |
| Direct database load | Data landing straight into PostgreSQL, MySQL, or Snowflake |
Commonly connected downstream to: Google Sheets, BigQuery, Snowflake, Power BI, and Zapier-style automation tools.
Pull recent comparable listings and sales to support pricing and valuation calls.
Model yield and appreciation potential across neighborhoods from live inventory.
Track how your own listings compare on price and days-on-market against the market.
Surface new and price-reduced listings the moment they hit a portal.
Aggregate listings into neighborhood-level trend data for research or reporting.
Feed search, valuation, or recommendation features with continuously refreshed inventory.
Pricing depends on portals, cities, and refresh frequency. Pick the route that fits your coverage, and we'll scope the details with you.
Start analysing property markets today, with no collection to set up.
Build live listing data into your own tools.
For large portfolios and requirements that need scoping.
Preview data shown is illustrative. Final scope is agreed during onboarding.
How we handle data responsibly
From first call to live feed
The portals, regions, and fields that matter for your business.
Typically a sample dataset from 2–3 target portals within 2–5 business days.
Adjust fields or frequency until the data matches what you need.
Your feed goes live on the delivery method and schedule you choose.
Basic API integration knowledge helps, but our team can also deliver data as ready-made CSV or Excel files if you'd rather skip direct API calls.
Yes. You can specify a store ID, postcode, or pincode per request, and each record is tagged with the location it came from. This matters because the same SKU can be priced and stocked differently across stores and delivery zones.
In most cases, yes. New retailer integrations are scoped case by case depending on site complexity.
Yes. Unit price (per kg, litre, or each), multi-buy offers, coupons, and loyalty pricing are captured where the retailer exposes them, and pack sizes are normalized for comparison.
Both. You can request point-in-time snapshots going forward, and in many cases we can build a historical price-trend feed once tracking begins.
Our monitoring flags layout changes and our team updates the extraction logic — typically without any action needed on your end.
Pricing depends on the number of retailers, locations, fields, and refresh frequency you need. Most engagements start with a scoped pilot so you can see real output before agreeing on a plan.
Yes, limits scale with your plan tier. Enterprise plans can be configured for sustained high-volume throughput.
60 Paya Lebar Rd, #11-22 Paya Lebar Square, PMB 1010, Singapore 409051
+91 8866656657
sales@realdataapi.com
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Disclaimer : RealData API functions solely as an independent data infrastructure and technology solutions provider. We build customized automation workflows designed to collect publicly accessible web data based exclusively on client instructions. RealData API neither owns proprietary datasets nor engages in the sale or redistribution of extracted information. Our operations are limited strictly to lawful public web data processing and never involve unauthorized access to restricted systems or private networks. Any company names, trademarks, logos, or brand references displayed on this website are used purely for demonstrative and illustrative purposes to showcase our technical capabilities and do not imply endorsement, partnership, or affiliation. Use of our platform and services remains subject to our Terms of Service.
