How to Scrape NoBroker Rental and Property Listings
NoBroker is a large India property platform built on direct owner listings, which makes it a rich public source of rental and sale data: rent, deposit, size, configuration, and locality, often straight from the owner. This guide covers what a listing holds, where the data lives, the challenges of collecting it cleanly, and how to turn it into a monitoring feed. The worked example uses a real NoBroker search.
What data a NoBroker listing holds
A search returns a row per property. On a real rental search in Bangalore, one listing read: a 1 RK house for rent in Shivaji Nagar, rent 8,000 rupees, deposit 50,000, a property size of 300 square feet, unfurnished, with the locality, bathroom count, parking, and building name. The rent, deposit, size, configuration, and locality are the fields that matter, and NoBroker's owner-direct model means the listing often carries owner rather than broker details.
Where the data actually lives
NoBroker serves its results through an internal JSON API, for example nobroker.in/api/v3/multi/property/RENT/filter, which returns a data array where each object carries the rent, deposit, size, configuration, locality, furnishing, and a property id. Reading that JSON is cleaner than parsing rendered cards, and the property id is the stable key you deduplicate on. The API is scoped to a city and a location, so each query carries the area you want.
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Get a free sampleThe practical challenges
Every query is scoped to a city and geo, so one national pull is meaningless and you query each area you care about separately. NoBroker throttles automated access and gates owner contact behind its own flow, so a naive scraper gets limited or thin results. Rent and deposit formats and configuration codes need normalising into consistent fields. A scraper that works today can return blanks after an API change, which is why maintenance matters.
Turning it into a monitoring feed
For rental or property monitoring you want one row per property id, captured per city and locality, keeping the rent, deposit, size, configuration, and locality, refreshed on a schedule. Store each run with a date so you can track new listings, rent changes, and how long a property stays live, which is often more useful than a single snapshot.
Build it yourself or have it delivered
For one area, a careful script against the search API can get you a sample. At scale the per-location querying, the throttling, the normalisation, and the upkeep turn it into a standing maintenance job. A done-for-you feed is usually cheaper than the maintenance once you track more than a locality or two. You tell us the cities and localities, and we deliver a clean property feed keyed on the listing id and keep it running.
Where each field lives in the search JSON
NoBroker returns its results as a data array, and each property object carries propertyTitle, rent and deposit (the numeric values, for example 8,000 and 50,000), propertySize, the bedroom or RK configuration in a type field, furnishing, locality, bathroom and parking fields, and an id. That id is the stable key you deduplicate on. The whole response is scoped to a city and a geo passed on the request, so there is no location-free version of the data: the same query in another area returns different listings, which is why a feed that drops the location is not just incomplete, it is wrong. Owner details sit behind NoBroker's own contact flow rather than in the listing object, so they are handled separately and carefully.
Step by step: reading a NoBroker search
NoBroker serves its results from an internal JSON API scoped to a city and location, so the cleanest read is that response. Here it is on a real rental search in Bangalore, where each property came back with rent, deposit, and size.
import requests
# NoBroker loads its listings from an internal JSON API, scoped to a city.
url = "https://www.nobroker.in/api/v3/multi/property/RENT/filter"
params = {"city": "bangalore"} # plus the site's own geo/search params
headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64)"}
data = requests.get(url, params=params, headers=headers).json()
for p in data["data"]:
print(p["propertyTitle"], p["rent"], p["deposit"], p["propertySize"], p["locality"])| Property | 1 RK House for Rent in Shivaji Nagar |
|---|---|
| Rent | Rs 8,000 |
| Deposit | Rs 50,000 |
| Size | 300 sq ft |
| Furnishing | Unfurnished |
| City | Bangalore |
A sample of the clean data we deliver for one product.
The response is clean, but every query is scoped to a city and geo, so one national pull is meaningless and you query each area separately. NoBroker throttles automated access and gates owner contact behind its own flow, and rent, deposit, and configuration codes need normalising. Handling that per location and keeping it working as the API changes is the real job. We run it and deliver a clean property feed keyed on the listing id.
Fields worth capturing from NoBroker
- Property title
- Transaction type (rent / sale)
- Rent
- Deposit
- Property size
- Configuration (BHK / RK)
- Furnishing
- Locality
- City
- Bathrooms
- Parking
- Property ID
Frequently asked questions
Related service: Catalog & Assortment Tracking
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