MagicBricks vs 99acres vs Housing.com vs NoBroker: Which India Property Data Source to Scrape

MagicBricks, 99acres and Housing.com all cover roughly the same national inventory of Indian residential and commercial listings, syndicated through the same mix of builder and broker sources. NoBroker does not. It carries owner-listed, brokerage-free inventory only, which makes it a different market rather than a fourth competitor to the other three. None of the four publish an official API, and none of the four cost the same to run at the field level, even though they cost the same per result.

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This post compares MagicBricks, 99acres, Housing.com and NoBroker on coverage, RERA verification, coordinates, and access method.

TL;DR: Housing.com has the most explicitly verified city coverage (32 metros) and returns coordinates on every record with no residential proxy needed, since it calls the site’s own internal GraphQL API directly. 99acres is the only source with RERA registration IDs and the only one covering PG (paying guest) and commercial listings alongside rent and buy. MagicBricks is the general baseline, with no coordinates and no RERA field. NoBroker isn’t a competitor to the other three so much as a separate market: owner-listed, brokerage-free inventory that none of the agent-and-builder-heavy platforms carry. All four cost the same, $2 per 1,000 results, so price never decides this comparison.

Field-by-Field Comparison

	MagicBricks	99acres	Housing.com	NoBroker
Access method	Parses listing page structured data, no browser	Residential proxy required internally	Own internal GraphQL API, no browser	Not published
Login/API key required	No	No	No	No
Listing types	Rent, sale	Rent, buy, PG, commercial	Rent, buy, commercial (rent or sale)	Rent, sale
City coverage	Any Indian city	Any Indian city	32 major metros, verified lookup table	Any Indian city
RERA registration ID	Not returned	Yes, where listed	Not returned	Not returned
Map coordinates	Not returned	Yes	Yes, every record	Yes
Rental deposit amount	Not returned	Not returned	Not returned	Yes
Inventory type	Mixed, agent and builder listings	Mixed, agent and builder listings	Mixed, agent and builder listings	Owner-listed only, no brokerage
Price per 1,000 results	$2	$2	$2	$2

Where Each Source Is Uniquely Strong

Housing.com’s edge is coverage precision and access method. Rather than guessing at a city name, it ships a verified lookup table for 32 major Indian metros with common aliases (Bengaluru, Gurugram, New Delhi, Bombay, Calcutta) mapped automatically, so a city input either resolves correctly or fails clearly instead of silently returning the wrong market. It also returns latitude and longitude on every single record, and because it calls Housing.com’s own internal GraphQL API directly, it needs no browser and no residential proxy to do it. Price and area come back as numbers rather than display strings, which matters if the downstream job is computing price-per-square-foot rather than just displaying a listing card.

99acres’s edge is listing-type breadth and legal verification. It is the only one of the four that covers PG (paying guest, hostel-style) listings and commercial space alongside standard rent and buy, and the only one that returns a RERA registration ID where the listing carries one. RERA (Real Estate Regulatory Authority) registration is India’s project-level legal compliance marker, and a dataset that includes it can distinguish registered, legally compliant projects from unregistered ones without a second lookup. That breadth comes with the least specific access-method story of the four: the actor handles residential proxy rotation internally rather than calling a public JSON endpoint directly, which the other three describe explicitly.

MagicBricks’s edge is simplicity, not a unique field. It parses each listing page’s own schema.org structured data rather than calling an internal API, so it needs no browser and no proxy, and it returns the fields a general property search needs: price, BHK, carpet area, project name, locality, poster, and listing date. It is the one source in this comparison with no coordinates and no RERA field, which is worth knowing before building a geo-mapping or compliance-focused pipeline around it specifically.

NoBroker’s edge is that it isn’t playing the same game. Every listing is owner-posted and brokerage-free, which is a structurally different slice of the market than the agent- and builder-heavy inventory on the other three. It is also the only source that returns a rental deposit amount as a distinct field, useful for anyone modeling actual move-in cost rather than just monthly rent. Running NoBroker alongside any of the other three does not double-count listings, it fills in a market segment the others don’t carry at all.

Pricing

All four actors charge the same $2 per 1,000 results, with nothing charged for a search that returns no matches. At this price point, the deciding factor between MagicBricks, 99acres and Housing.com is never cost, it is which fields the job actually needs: RERA and listing-type breadth from 99acres, coordinates and verified city coverage from Housing.com, or a simpler general search from MagicBricks. NoBroker’s $2 per 1,000 buys a different inventory entirely, not a cheaper or more expensive version of the same one.

Which One for Which Job

Compliance or legal-verification work should start with 99acres, since it is the only source here returning a RERA ID directly on the listing record, avoiding a second lookup against the state RERA portal for every project.

Geo-mapping and location analysis favors Housing.com, both for the universal coordinates and the verified 32-city lookup table that removes ambiguity about which market a result actually belongs to.

A general baseline search across price, BHK and locality, without a need for coordinates or legal data, is what MagicBricks is built for, and its no-proxy, structured-data access method makes it the least operationally fragile of the three general sources.

Owner-direct or brokerage-free sourcing, for a rental platform or a buyer tool that specifically wants to exclude agent-listed inventory, has exactly one option: NoBroker. None of the other three separate owner listings from agent listings at all.

Combining Sources

Because MagicBricks, 99acres and Housing.com draw from overlapping but not identical inventory, running more than one against the same city and matching on locality and price band gives broader coverage than any single source alone. NoBroker is not a fourth source to merge into that same pool, it is an addition: since it carries brokerage-free listings the other three structurally don’t have, adding it increases total market coverage rather than filling in gaps in the same dataset.

import os
from apify_client import ApifyClient

apify = ApifyClient(os.environ["APIFY_TOKEN"])

def pull(actor_slug, city, **kwargs):
    run = apify.actor(actor_slug).call(run_input={"city": city, "maxItems": 200, **kwargs})
    return list(apify.dataset(run["defaultDatasetId"]).iterate_items())

magicbricks = pull("themineworks/magicbricks-scraper", "Bangalore", listingType="rent")
acres99 = pull("themineworks/99acres-scraper", "Bangalore", listingType="rent")
housing = pull("themineworks/housing-com-scraper", "Bangalore", listingType="rent")
nobroker = pull("themineworks/nobroker-scraper", "Bangalore")

# Simple locality-based grouping across the three general sources
by_locality = {}
for source_name, listings in [("magicbricks", magicbricks), ("99acres", acres99), ("housing", housing)]:
    for l in listings:
        locality = (l.get("locality") or "").lower().strip()
        if locality:
            by_locality.setdefault(locality, {}).setdefault(source_name, []).append(l)

print(f"Localities seen across 2+ general sources: {sum(1 for v in by_locality.values() if len(v) > 1)}")
print(f"NoBroker brokerage-free listings added separately: {len(nobroker)}")

Each actor accepts a city and a listing type as its base parameters, with source-specific extensions: 99acres adds a propertyType for PG or commercial, Housing.com requires its own verified city value from the lookup table rather than a freeform string, and NoBroker doesn’t take a listing-type filter at all since it returns both rent and sale together.

Frequently Asked Questions

Do any of these require a login or API key?

No. All four work from public listing data with no account, login, or API key needed on the source platform. You only need an Apify account to run the actors.

Which source has RERA registration data?

Only 99acres. It returns a RERA registration ID on listings that carry one, which none of MagicBricks, Housing.com, or NoBroker provide.

Which source covers the most cities?

MagicBricks, 99acres and NoBroker all accept any Indian city as a freeform search input. Housing.com is narrower by design, limited to 32 major metros through a verified lookup table, which trades broad coverage for coordinate accuracy and correct city resolution.

Is NoBroker cheaper than the other three since it’s a smaller market?

No. All four actors charge the same $2 per 1,000 results. NoBroker’s value isn’t a lower price, it’s a market segment (owner-listed, brokerage-free) that the other three don’t carry at all.

Can I get both rent and sale listings from all four?

MagicBricks and NoBroker both return rent and sale. 99acres and Housing.com go further and also cover PG and commercial listings through their respective listingType parameters.