Housing.com Property Data Starts With the Indian Use Case
Housing.com is a digital real-estate advertising, marketing, and information platform operated by Locon Solutions Private Limited. Housing.com’s current Terms identify Locon Solutions Private Limited as the owner/operator of the Website and Mobile App. Housing.com’s current About page says the platform was founded in 2012 and acquired by Aurum PropTech in 2026. (Housing.com Terms; Housing.com About page)
Housing.com currently covers categories including:
For a property-data team, however, the useful question is not simply: “Can we scrape Housing.com?” A useful project first needs to define:
- whether the requirement involves new projects, resale, rental, or multiple categories
- target Indian cities and localities
- property types
- what one row/entity should represent
- whether RERA IDs are needed as displayed or independently verified
- how BHK should be structured
- how INR/lakh/crore values should be normalized
- which area basis matters
- whether repeated observations/history are required
- what access or rights basis exists
- where records must be delivered
NenoData’s current real-estate service follows this source-first model: source, access conditions, markets, fields, schema, validation, cadence, and delivery are reviewed before implementation. For Housing.com, public visibility by itself must not be treated as proof of unrestricted commercial collection or reuse rights.
NenoData’s Real Estate Data Scraping service scopes property workflows around required sources, markets, fields, schedule, and destination before implementation.
What Housing.com Property Data May Be Relevant?
The exact fields depend on the approved source path, record type, city, listing/project page, and final scope.
| Data category | Potential fields | Qualification |
|---|---|---|
| Listing identity | source listing ID, URL, listing status, observed date | Source dependent |
| Transaction/listing type | resale, rental, new project, plot, commercial | Keep explicit |
| Pricing | displayed INR price, normalized INR, price per sq ft, rent, rent period | Preserve pricing semantics |
| Configuration | BHK, bedrooms where appropriate, bathrooms | Record-type dependent |
| Area | carpet area, built-up area, super-built-up area, plot area, unit | Area basis must remain explicit |
| Location | locality, city, state, displayed coordinates where available | Availability varies |
| Project | project ID/name, configurations, project size, units/buildings, possession | Project-page dependent |
| Developer | developer/builder identity | Project dependent |
| RERA | RERA ID as displayed, state/jurisdiction context | Not automatically regulator verified |
| Amenities/features | amenities, furnishing, selected attributes | Availability varies |
| Source metadata | source URL, observed_at, first_seen, last_seen | Useful for lineage |
This is an illustrative requirements schema. It does not mean every Housing.com record contains every field or that NenoData currently maintains a Housing.com production dataset.
New Project, Resale, and Rental Records Need Different Schemas
Housing.com supports materially different property record types. A shared master schema may be possible, but category-specific semantics must remain explicit.
| Record type | Typical concepts to preserve |
|---|---|
| New project | project, developer, configurations, possession, RERA ID, project size, unit types, starting/range price |
| Resale | individual listing, asking price, configuration, area, locality, advertiser context where permitted |
| Rental | asking rent, rent period, configuration, area, furnishing, availability/status |
New-project records
- project name
- developer
- configuration
- price range
- price per sq ft
- possession date/status
- project size
- RERA ID
- unit/building information
Do not automatically represent this as one individual resale listing.
Resale records
- listing ID
- asking price
- BHK
- area basis
- locality
- source status
- observed timestamp
Rental records
- asking rent
- rental period
- BHK/configuration
- area
- furnishing where displayed
- availability/status where displayed
Do not flatten all three categories into one undifferentiated property row.
INR, Lakh, Crore, and Price per Square Foot Need Separate Fields
Indian property portals frequently display prices in lakh or crore notation. Preserve both: original source representation and normalized numeric INR value.
| Display concept | Structured representation |
|---|---|
| ₹78.5 Lac | original value + price_inr = 7,850,000 |
| ₹1.19 Cr | original value + price_inr = 11,900,000 |
| ₹9,450/sq.ft. | price_per_sqft_inr = 9450 |
These examples are illustrative and must not be presented as live Housing.com records.
A structured pricing model may use:
price_originalprice_inrprice_display_unitprice_per_sqft_inrasking_rent_inrrent_periodobserved_atDo not collapse total price, unit price, rent, and rent period into one generic price.
NenoData’s Data Cleaning & Standardization service applies agreed normalization rules to INR values, lakh/crore notation, area fields, and unit-price derivations.
Carpet, Built-Up, Super-Built-Up, and Plot Area Are Not Interchangeable
A value such as area = 1200 is incomplete without the source area basis.
Use a model such as:
area_valuearea_unitarea_basisarea_originalcarpet basis
area_value = 1200 / area_unit = sq_ft / area_basis = carpetsuper-built-up basis
area_value = 1200 / area_unit = sq_ft / area_basis = super_built_upThis distinction is especially important for price-per-square-foot comparisons. Do not convert one basis to another without an explicitly approved and evidenced rule. Missing area semantics should remain unresolved rather than inferred.
BHK Should Be Structured Explicitly
Potential source configurations include:
A normalized schema may preserve:
configuration_originalbedroomsconfiguration_type3 BHK → configuration_original = “3 BHK” → bedrooms = 3 (only when source value is unambiguous).
Do not force ambiguous configurations into numeric bedroom values. Project-level configurations should remain distinct from individual listing/unit records where appropriate.
Developer, Project, Configuration, and Listing Are Different Entities
A useful model is: Developer → Project → Configuration / Unit Type → Listing
Project, configuration, resale, and rental records should retain their own semantics.
Developer
builder name
source reference
Project
project name
possession
RERA ID as displayed
Configuration / Unit Type
BHK
area value
area basis
price range
Resale Listing
asking price
source URL
observed_at
Rental Listing
asking rent
rent period
furnishing
Developer
- developer name
- source developer ID/page
- source reference
Project
- project name
- locality
- project size
- launch date
- possession
- RERA ID as displayed
Configuration
- BHK
- size/area
- price range
- area basis
Listing
- listing ID
- asking price
- advertiser context where permitted
- source URL
- observation status
Keep these concepts distinct rather than pushing developer, project, configuration, and listing into one ambiguous row.
RERA Displayed on Housing.com Is Not the Same as RERA Independently Verified
This distinction must be explicit. Housing.com’s current Terms tell users to independently verify property/project information and specifically recommend validating project information against the relevant state RERA website. Housing.com states that it does not verify, validate, endorse, or promote the RERA compliance of a specific project merely because information appears on its platform.
Housing.com’s project disclaimer likewise states that project information may be collected from publicly available sources and that Housing.com does not validate or guarantee its authenticity. (Housing.com project disclaimer)
A displayed RERA ID is not the same as independent regulator verification.
Housing.com record
Preserve as-displayed
rera_id_as_displayed
area_value + area_basis
price_original
optional
State RERA verification
verified / not verified / unresolved
separate workflow
INR + schema normalization
Validated dataset
Therefore use fields such as:
rera_id_as_displayedrera_staterera_source = housing.comrera_verifiedrera_verification_sourcerera_verified_atOnly set rera_verified = true when a separate approved workflow actually verifies the relevant regulator source.
A displayed RERA ID must not automatically become: RERA verified, government verified, legally compliant, regulator validated.
Housing.com Verification Labels Should Retain Their Platform Meaning
Housing.com currently exposes verification-related product features and labels. Its developer and partner pages describe verified listings and self/on-ground verification workflows. (developer products; partner workflows)
If an approved source provides such a status, preserve it as a source-platform field such as:
housing_verification_statusverification_label_as_displayedDo not convert this into: legal ownership verification, completed transaction verification, government verification, state-RERA verification, regulatory compliance.
Platform verification and regulator verification are separate concepts.
Asking Price Is Not a Registered Transaction Price
Housing.com describes itself as a digital real-estate advertising, marketing, and information platform. Its current Terms also state that listing/project content may be supplied by advertisers and may not be independently validated.
Housing.com listing values should be treated as asking or advertised prices unless another authoritative source establishes a completed transaction value.
This matters for:
- valuation
- investment analysis
- benchmarking
- developer comparison
- market trends
Do not present Housing.com asking prices as: deed consideration, registered sale value, confirmed transaction price, mortgage value, official valuation.
NenoData’s Real Estate Transaction Data service explicitly distinguishes recorded transactions from listing/asking-price observations and uses approved public, permissioned, or customer-authorized property-record sources.
Housing.com Does Not Have a Verified Public Bulk Listing API in This Research
Housing.com operates developer, seller, and partner products. Current public pages include developer dashboards, project editing, listing/marketing products, owner/seller listing workflows, broker/developer partner products, and verification features.
However, this research did not verify a current official public API granting arbitrary third parties unrestricted bulk read access to Housing.com marketplace listings.
Use exactly the narrow conclusion:
No public, unrestricted official Housing.com bulk marketplace listing-data API was verified during this research.
Do not say: “Housing.com has no API whatsoever.” “Housing.com has a public listing-data API.” “NenoData connects directly to the Housing.com API.”
Third-party scraper APIs are not evidence of an official Housing.com read API.
Source Rights and Permitted Collection Need Project-Specific Review
Housing.com’s current Terms, in the text reviewed for this page, do not expressly state: “scraping is prohibited.” Do not invent that wording. (Housing.com Terms)
What the Terms do state is that service content including the following is protected property:
Do not infer: “Housing.com permits unrestricted scraping because the Terms do not expressly use the word scraping.”
Current Housing.com Terms protect content and data compilations; this research did not verify unrestricted commercial collection rights or an explicit scraper prohibition.
Housing.com data requirement
Review access method + content rights + intended use
Approved-path examples
The supported position is:
The proposed access method, content rights, authentication status, commercial use, storage, retention, republishing, redistribution, personal-data exposure, and contractual context should be reviewed before production.
Do not replace this with: “Housing.com bans scraping.” “Housing.com allows scraping.” “scraping is legal.” “public pages are free to collect commercially.” “there are no source restrictions.”
Authorized Housing.com Data Paths NenoData Can Evaluate
A Housing.com-related requirement can be evaluated through several possible source models.
Explicitly authorized Housing.com access
If a customer holds documented permission, partner access, contractual rights, or another approved arrangement, scope the workflow only to those documented rights.
Customer-owned listings and property data
Developers, brokers, owners, and property companies may control their own project information, inventory, pricing, configurations, CRM records, and internal exports. NenoData can clean and normalize customer-controlled data without implying rights over the broader Housing.com marketplace.
Developer/broker-controlled inventory
Housing.com has dedicated developer and partner workflows for publishing/managing customer inventory. Where the customer retains rights to the underlying inventory, that data may be used as an input subject to the applicable agreement.
Customer-supplied exports
Potential inputs include CSV, Excel, JSON, database exports, CRM exports, and listing-management exports.
State RERA portals
Where independent regulator verification is required, scope the appropriate state RERA source separately. Preserve Housing.com RERA ID as displayed and, where separately verified, the state-regulator verification result, without conflating the sources.
Other licensed Indian property sources
If direct Housing.com use is unsuitable, evaluate the same target schema against another licensed or otherwise approved Indian property source.
Multi-source Indian property workflow
Where several approved sources are used, map them into one common schema with validation, matching, deduplication, source attribution, and exception handling.
NenoData’s Real Estate Data Providers guide distinguishes provider/source types based on use case, delivery, geography, and rights.
NenoData’s Multi-Source Data Aggregation service supports combining approved Indian property sources with source attribution, common schemas, and cross-source matching.
Duplicate and Entity Matching Should Be Defined, Not Assumed
Property datasets may contain exact duplicate records, repeated observations, project-level records, configuration-level records, similar listings, and listings from several sources that may refer to the same property. These require different handling.
source_listing_idproject_iddeveloper_idsource_urlobserved_atfirst_seenlast_seenmatch_statusresolved_entity_id where scopedNenoData entity resolution should be described as: configurable, scoped, sample-tested, and reviewable when ambiguity remains.
Do not claim: perfect Housing.com matching, pre-existing Housing.com-specific match accuracy, universal property identity resolution.
NenoData’s AI Entity Resolution and Matching service supports scoped matching with configurable inputs/rules, representative testing, and an unresolved/review path.
One-Time Dataset or Recurring Housing.com Observations
Where the approved source arrangement permits repeated access and retention, the project may use a snapshot or recurring observation model.
One-time dataset
- project/developer research
- resale supply analysis
- rental-market research
- investment screening
- price benchmarking
- data migration
Recurring observations
observed_atfirst_seenlast_seenasking pricerentlisting statusproject/possession status where availablesource reference
This can support change analysis without implying that NenoData already owns historical Housing.com data.
Do not promise: an existing Housing.com archive, daily updates, hourly updates, real-time updates, a fixed source-specific cadence. Cadence must remain scope- and feasibility-dependent.
Delivery Should Match the Approved Source and Intended Use
NenoData’s Custom Data Pipelines service supports scheduled workflows, webhook delivery, and API-ready/database/warehouse destinations.
- CSV
- Excel
- JSON
- API-ready payloads
- databases
- warehouses
- webhooks
- scheduled delivery
Technical delivery capability does not expand source rights. Final delivery depends on:
- 1.approved input/source
- 2.field scope
- 3.permitted storage
- 4.retention requirements
- 5.downstream use
- 6.redistribution rights
- 7.privacy considerations
- 8.destination
“API-ready” means NenoData can structure records for programmatic downstream consumption. It does not mean NenoData has an official Housing.com marketplace API.
How an Authorized Housing.com Property Data Workflow Would Work
- 1
Define the requirement
Specify target Indian cities/localities, new project/resale/rental/plot/commercial scope, property categories, BHK requirements, pricing fields, area definitions, RERA requirements, intended use, expected volume, one-time or recurring need, and destination.
- 2
Confirm the source/access basis
Identify whether the project uses explicit Housing.com authorization, customer-owned listings, developer/broker inventory, customer-supplied exports, approved property feeds, state RERA source, or another licensed Indian property source.
- 3
Define the entity model
Agree how to represent developer, project, configuration, listing, and observation as distinct concepts.
- 4
Define the pricing model
Specify fields for original INR display, normalized INR, lakh/crore display unit, price per sq ft, asking rent, rent period, price range, and observed price.
- 5
Define the area model
Preserve numeric area, unit, carpet/built-up/super-built-up/plot basis, and original source value.
- 6
Define RERA handling
Decide whether the workflow needs Housing.com RERA ID as displayed only, or a separate state-regulator verification workflow. These are different workflows.
- 7
Ingest through the approved path
Use only the permissioned, customer-authorized, licensed, or otherwise approved source.
- 8
Normalize and validate
Apply agreed rules for INR formatting, BHK, area basis, property type, project/configuration fields, possession, null values, RERA fields, duplicate candidates, source attribution, and validation exceptions.
- 9
Deliver within approved rights
Prepare the approved output for CSV, Excel, JSON, API-ready schema, database, warehouse, webhook, or recurring/scheduled delivery where permitted.
Potential Business Requirements
These are buyer requirements, not evidence that Housing.com grants unrestricted marketplace rights.
New-project monitoring
Structure approved project, developer, configuration, possession, pricing, and RERA-as-displayed information.
Rental-market research
Normalize asking rent, BHK, area basis, locality, and recurring observations.
Resale supply analysis
Structure source-visible resale records by city, locality, configuration, and asking price.
Asking-price benchmarking
Compare displayed INR prices and price-per-square-foot values while preserving area basis.
Developer/project comparison
Model developer → project → configuration relationships for internal research.
Investment analytics
Prepare appropriately sourced property information for screening and analysis. Do not represent Housing.com asking prices as registered transaction values.
PropTech enrichment
Map approved records into application, BI, search, and analytics schemas.
Multi-portal Indian property intelligence
Combine approved property sources into a common schema with source attribution and matching rules.
Why NenoData Is Relevant to a Housing.com Data Requirement
NenoData's current relevant services support:
- source/access review
- custom property schemas
- project/listing mapping
- INR normalization
- area normalization
- BHK normalization
- validation
- duplicate handling
- scoped entity resolution
- source attribution
- multi-source aggregation
- approved transaction-data sourcing
- CSV, Excel, JSON, API-ready outputs
- databases, warehouses, webhooks
- scheduled/recurring workflows where scoped
Use NenoData’s Real Estate Transaction Data service when the business requirement is completed/recorded transaction information rather than listing asking prices.
For Housing.com, preserve:
requirements → rights/access review → approved source → Indian property schema → RERA/area/INR normalization → validation → permitted delivery
not unrestricted Housing.com scraping.
NenoData Is Not Affiliated With Housing.com or Aurum PropTech
NenoData does not claim affiliation with Housing.com, partnership with Locon Solutions Private Limited, partnership with Aurum PropTech, Housing.com API credentials, unrestricted Housing.com access, an existing Housing.com dataset, or authorized-scraper status. Only state such a relationship if separately documented in the future.
Frequently Asked Questions
A Housing.com scraper generally refers to software or a workflow intended to turn Housing.com property information into structured records. For NenoData, this should not imply unrestricted source access. Housing.com’s current Terms protect platform content and data compilations, so access method, intended use, storage, retention, and downstream rights should be reviewed before direct production collection.
A Housing.com scraper generally refers to software or a workflow intended to turn Housing.com property information into structured records. For NenoData, this should not imply unrestricted source access. Housing.com’s current Terms protect platform content and data compilations, so access method, intended use, storage, retention, and downstream rights should be reviewed before direct production collection.
Potential fields include listing ID, source URL, record type, INR price, price per sq ft, rent, BHK, carpet/built-up/super-built-up/plot area, locality, city/state, project, developer, possession, RERA ID as displayed, amenities, and observation timestamps. Actual fields depend on the approved source and record type.
Potential fields include listing ID, source URL, record type, INR price, price per sq ft, rent, BHK, carpet/built-up/super-built-up/plot area, locality, city/state, project, developer, possession, RERA ID as displayed, amenities, and observation timestamps. Actual fields depend on the approved source and record type.
Yes. They should normally use distinct record types because project/developer/RERA/possession fields differ from individual resale and rental listing fields.
Yes. They should normally use distinct record types because project/developer/RERA/possession fields differ from individual resale and rental listing fields.
Potentially, where the approved source displays them. Represent the value as something like rera_id_as_displayed rather than automatically treating it as independently regulator verified.
Potentially, where the approved source displays them. Represent the value as something like rera_id_as_displayed rather than automatically treating it as independently regulator verified.
No. Housing.com’s own Terms tell users to verify project information independently with the relevant state RERA source and state that Housing.com does not itself verify or endorse a project’s RERA compliance merely by displaying information.
No. Housing.com’s own Terms tell users to verify project information independently with the relevant state RERA source and state that Housing.com does not itself verify or endorse a project’s RERA compliance merely by displaying information.
Potentially, as a separate workflow against the relevant state RERA source where access, jurisdiction, fields, and intended use are separately scoped. Do not treat Housing.com display data and regulator verification as the same source.
Potentially, as a separate workflow against the relevant state RERA source where access, jurisdiction, fields, and intended use are separately scoped. Do not treat Housing.com display data and regulator verification as the same source.
Keep them distinct. Preserve numeric area, unit, and source area basis. Do not mix carpet, built-up, super-built-up, and plot areas during analysis.
Keep them distinct. Preserve numeric area, unit, and source area basis. Do not mix carpet, built-up, super-built-up, and plot areas during analysis.
Yes, where the approved input supplies them. Preserve original display, numeric INR value, display unit, price per sq ft, and observation timestamp.
Yes, where the approved input supplies them. Preserve original display, numeric INR value, display unit, price per sq ft, and observation timestamp.
Do not assume so. Housing.com is an advertising/information platform, so source-visible listing values should remain asking prices unless a separate transaction source confirms an actual sale value.
Do not assume so. Housing.com is an advertising/information platform, so source-visible listing values should remain asking prices unless a separate transaction source confirms an actual sale value.
This research did not verify a public, unrestricted official Housing.com bulk marketplace listing-data API. Housing.com does operate developer, seller, and partner products, but those do not by themselves establish arbitrary bulk read access.
This research did not verify a public, unrestricted official Housing.com bulk marketplace listing-data API. Housing.com does operate developer, seller, and partner products, but those do not by themselves establish arbitrary bulk read access.
The current Terms text reviewed for this page does not contain an explicit scraper/crawler prohibition comparable to some other portals. The Terms do protect platform content and data compilations. Therefore NenoData must review the proposed access method and intended commercial use rather than claiming either unrestricted permission or an explicit blanket scraper ban.
The current Terms text reviewed for this page does not contain an explicit scraper/crawler prohibition comparable to some other portals. The Terms do protect platform content and data compilations. Therefore NenoData must review the proposed access method and intended commercial use rather than claiming either unrestricted permission or an explicit blanket scraper ban.
Where the approved input and use rights permit the workflow, NenoData’s broader services can support CSV, Excel, JSON, API-ready records, databases, warehouses, webhooks, and scheduled feeds. Technical delivery capability does not establish Housing.com marketplace rights.
Where the approved input and use rights permit the workflow, NenoData’s broader services can support CSV, Excel, JSON, API-ready records, databases, warehouses, webhooks, and scheduled feeds. Technical delivery capability does not establish Housing.com marketplace rights.
Only where an approved source arrangement permits repeated access and retention. A recurring model may include observation timestamp, current asking price, previous observed price, listing status, first seen, and last seen. Do not promise a Housing.com-specific historical archive or fixed refresh cadence.
Only where an approved source arrangement permits repeated access and retention. A recurring model may include observation timestamp, current asking price, previous observed price, listing status, first seen, and last seen. Do not promise a Housing.com-specific historical archive or fixed refresh cadence.
Evaluate the same India-specific property schema against customer-owned developer inventory, broker/agency feeds, customer-provided exports, state RERA sources, licensed Indian property datasets, other approved marketplaces, or combinations of authorized inputs.
Evaluate the same India-specific property schema against customer-owned developer inventory, broker/agency feeds, customer-provided exports, state RERA sources, licensed Indian property datasets, other approved marketplaces, or combinations of authorized inputs.
No affiliation, partnership, endorsement, official API relationship, or authorized-scraper status is claimed.
No affiliation, partnership, endorsement, official API relationship, or authorized-scraper status is claimed.