PropTiger Scraper for Authorized Indian Project Data Workflows

PropTiger Property Data Starts With the Project Model

PropTiger describes itself as an Indian full-stack real-estate advisory platform focused on helping homebuyers discover and evaluate residential property. Its current public experience is strongly project-oriented: users can search by location, project, and developer, and filter using concepts such as budget, property type, and project status. (PropTiger; PropTiger About page)

Current project cards expose fields such as:

For a data team, the useful question is not simply: “Can we scrape PropTiger?” It is: “Which project, developer, configuration, status, and price data does the business actually need, and what approved access basis supports that workflow?”

A useful project should define:

• target Indian cities
• developers/builders of interest
• project versus individual-property scope
• configurations and BHK requirements
• required status fields
• price fields
• area fields and area basis
• possession information
• RERA requirements
• whether one-time or recurring observations are needed
• intended downstream use
• source/access rights
• output destination

NenoData’s Real Estate Data Scraping service NenoData’s current Real Estate Data Scraping service scopes property-data work around required sources, markets, fields, schemas, update schedules, and destinations, with source support confirmed before implementation rather than assumed.

What PropTiger Data May Be Relevant?

The exact field set depends on the approved source path, project/page type, city, and final engagement scope.

This table describes a potential project schema. It does not mean every PropTiger project exposes every field or that NenoData currently maintains a production PropTiger dataset.

Developer, Project, and Configuration Are Different Entities

PropTiger’s current experience is especially well suited to a hierarchical property model. Use the conceptual structure: Developer → Project → Configuration → Observation

This is analytically stronger than treating every project page as one flat property listing. It also supports developer benchmarking, project monitoring, and multi-source matching without conflating entity levels.

Current PropTiger Records Are Strongly Project-Centric

PropTiger’s current homepage illustrates the project-first model directly. The interface currently separates project status and displays examples including:

Project cards also display:

A normalized record must not collapse “3,4 BHK Apartment” into the same field as “Launch” or “₹1.11 Cr Onwards.”

These describe different dimensions: configuration, lifecycle/status, advertised price.

Project Status Should Preserve Both Source and Normalized Values

Project-status terminology can vary. Preserve the original platform label while optionally adding an agreed normalized business category.

The exact mapping must be agreed during scoping.

Potential fields:

This gives analysts consistent categories while retaining source traceability. Do not silently overwrite the original source value.

Status Changes Are Observations, Not Permanent Facts

Projects can move through lifecycle stages. Where recurring access is permitted, the same project may therefore have several observations over time.

This example is conceptual and must not be presented as actual PropTiger history.

A robust model separates project identity from project-status observation.

Do not imply that NenoData already owns PropTiger historical status data.

INR, Lakh, Crore, and Price Bands Need Explicit Normalization

Indian property portals commonly use lakh/crore notation. PropTiger’s current project cards show advertised values using concepts such as Cr Onwards and Lac Onwards.

Preserve:

• original displayed value
• numeric INR
• display unit
• minimum price
• maximum price
• price-per-area where actually supplied
• observation timestamp

Illustrative fields:

A value such as ₹1.9 Cr Onwards must not automatically be treated as: completed sale price, the price of every configuration, registered transaction value. It is an advertised project-price concept.

NenoData’s Data Cleaning & Standardization service applies agreed normalization rules to INR values, lakh/crore notation, price bands, and status fields.

Project Price Is Not the Same as a Registered Transaction Price

PropTiger’s current User Agreement describes the platform as a source of real-estate advertising, marketing, and information, advises users to independently verify project details, and warns that displayed information may not be fully current or contractual.

Therefore use labels such as:

Do not automatically call source-visible values: registered sale consideration, deed value, government transaction value, completed transaction price.

Where completed transaction data is required, use a separate approved transaction/property-record source.

NenoData’s Real Estate Transaction Data service supports separately scoped recorded-property/transaction workflows when completed transaction values are required.

Area Values Need Their Source Basis Preserved

PropTiger currently displays area values/ranges on project cards. A numeric value such as 2200 sq ft is incomplete for deeper analysis if the underlying measurement basis is unknown.

Potential fields:

Only use a basis when the source explicitly supports it.

Do not infer that one project’s square-foot value uses the same basis as another source/project.

If the area basis is unclear, preserve the original label/value, leave normalized basis unresolved, and route ambiguity to an exception path if needed.

BHK and Configuration Data Should Stay Distinct From the Project Record

PropTiger’s project cards expose combinations such as 1,2,3 BHK; 3,4 BHK; 4,5 BHK. These values describe configurations inside a project.

This enables questions such as:

• which developers offer 3 BHK configurations in a city?
• which under-construction projects include 4 BHK units?
• how do advertised price ranges vary by configuration?

without duplicating or distorting project-level attributes.

RERA Displayed on PropTiger Is Not the Same as Independent RERA Verification

PropTiger’s current User Agreement advises users to independently verify project and RERA information. It states that users should validate project details against appropriate sources and that source/platform information may not be independently verified or fully current. (PropTiger User Agreement)

Preserve fields such as:

Set rera_verified = true only where a separate approved workflow actually verifies the relevant regulator source.

A displayed RERA reference must not automatically become: government verified, RERA compliant, legally verified, independently regulator confirmed.

A Separate RERA Workflow Can Add Verification Context

Where regulator-level verification is required, treat PropTiger and the relevant state RERA source as separate sources.

1. 1PropTiger project record → preserve rera_id_as_displayed
2. 2Relevant state RERA source → verify matching registration where permitted
3. 3Normalized record → store verification result and regulator-source attribution separately

“PropTiger displayed this RERA reference” is not the same as “the regulator source independently confirmed this registration.”

Source Rights and Reuse Are a Core Project Constraint

PropTiger’s current User Agreement states that proprietary rights in information accessed through the site remain with PropTiger and that reproduction, redistribution, or transmission of that information is prohibited. (PropTiger User Agreement)

The project must therefore review:

Do not reduce this to an anti-bot-engineering question. The central issue is whether the intended data lifecycle fits the applicable rights.

Do PropTiger’s Current Terms Explicitly Ban Scrapers or Crawlers?

The current User Agreement reviewed for this page does not expressly use scraper/crawler/robot terminology in the relevant restriction. Do not state: “PropTiger explicitly bans scraping bots.”

However, the current agreement expressly restricts reproduction, redistribution, and transmission of PropTiger information.

Therefore the absence of scraper or crawler wording does not establish: “PropTiger permits unrestricted commercial scraping.”

No Unrestricted Official Public PropTiger Bulk API Was Verified

This research did not verify a current official public PropTiger API for arbitrary bulk reading of marketplace/project records.

Third-party services may offer PropTiger scraper APIs, parser APIs, or extraction APIs. Those are not evidence of official PropTiger data access.

Corporate Context Should Be Kept Precise

PropTiger operates within the Aurum PropTech group, and the current PropTiger site/footer identifies PropTiger Marketing Services Private Limited.

PropTiger’s current About page identifies Aurum PropTech as its backing/group context. Aurum PropTech’s current corporate structure lists PropTiger Marketing Services Private Limited as a wholly owned subsidiary. Aurum financial reporting states that Aurum acquired control of PropTiger effective September 25, 2025. (PropTiger About; Aurum PropTech Corporate Structure)

Do not collapse historical/legal entities into a stronger operator statement than current primary evidence supports. Do not use Aarde as current legal operator without fresh primary confirmation. Keep corporate-group context separate from legal-site-operator wording. If exact legal-operator wording is needed in visible copy, recheck current live legal documents immediately before launch.

Authorized PropTiger Data Paths NenoData Can Evaluate

A PropTiger-related requirement remains useful even where unrestricted direct source reuse is inappropriate.

NenoData’s Multi-Source Data Aggregation service supports combining approved Indian property sources with source attribution, common schemas, and cross-source matching.

Developer and Project Identity May Need Entity Matching

When multiple sources are combined, developers/projects can appear with naming variations, abbreviations, punctuation differences, company/group-name differences, locality spelling variations, and project-phase differences.

NenoData’s Entity Resolution service supports matching configured around entity type, source systems, source fields, matching rules, thresholds, and review requirements.

Use the supportable proposition: “developer/project matching can be scoped and tested — not: NenoData already has perfect PropTiger entity matching.” Do not publish an unsupported matching-accuracy percentage.

NenoData’s AI Entity Resolution and Matching service supports matching configured around entity type, source fields, thresholds, and review paths.

One-Time Project Dataset or Recurring Observations

Where the approved source arrangement permits collection and retention, a workflow may use a snapshot or recurring observations.

This supports analysis of how source-visible marketing information changes over time.

Do not promise: an existing PropTiger historical archive, daily PropTiger refresh, hourly refresh, real-time refresh, any fixed PropTiger-specific SLA.

Price and Status Monitoring Need Source Context

A recurring observation model should preserve that values are platform observations, time-specific, advertised/project information, and not automatically authoritative transaction or regulator data.

This supports business analysis without falsely upgrading platform marketing data into official transaction or compliance records.

Delivery Depends on Both Technical Scope and Rights

NenoData’s Custom Data Pipelines service supports source-to-destination workflows with transformations, validation, and scoped delivery.

• CSV
• Excel
• JSON
• API-ready records
• database-ready tables
• warehouse-ready tables
• webhooks
• scheduled files
• recurring feeds where approved

Final delivery must reflect:

1. 1.approved source/access method
2. 2.permitted fields
3. 3.intended use
4. 4.retention
5. 5.reproduction/redistribution rights
6. 6.customer-facing display rights
7. 7.privacy/personal-data constraints
8. 8.agreed destination

“API-ready” means NenoData can structure records for downstream API consumption. It does not mean NenoData has official PropTiger API credentials.

How an Authorized PropTiger Data Workflow Would Work

1. 1

   Define the business requirement

   Specify target cities, developers, projects/property types, BHK/configurations, statuses, pricing fields, area fields, possession requirements, RERA requirements, one-time versus recurring need, intended use, and destination.

2. 2

   Confirm the access and rights basis

   Identify whether the workflow uses explicit PropTiger permission, licensed/contractual access, customer-owned project data, developer feeds, customer-supplied exports, state RERA sources, or another approved Indian property source.

3. 3

   Define the entity model

   Represent developer, project, configuration, and observation as distinct concepts.

4. 4

   Define project-status rules

   Preserve source status, normalized status, and observation timestamp.

5. 5

   Define pricing rules

   Preserve original display, numeric INR, lakh/crore display unit, minimum advertised price, maximum advertised price, and price-per-area where supported.

6. 6

   Define area rules

   Preserve area value/range, unit, area basis, and source representation.

7. 7

   Define RERA handling

   Choose between source-displayed RERA only, or a separately scoped state-regulator verification workflow.

8. 8

   Ingest through the approved source path

   Use only the permissioned, customer-authorized, licensed, or otherwise approved input.

9. 9

   Normalize and validate

   Apply agreed rules for developer/project names, BHK, property type, INR, project status, area, RERA, location, timestamps, duplicate candidates, source attribution, and exceptions.

10. 10

    Deliver within approved rights

    Prepare the approved CSV, Excel, JSON, API-ready schema, database, warehouse, webhook, or scheduled/recurring output.

Potential Business Requirements

These are customer requirements, not proof that PropTiger licenses unrestricted platform reuse.

Why NenoData Is Relevant to a PropTiger Data Requirement

Use Real Estate Transaction Data Use Real Estate Transaction Data when completed transaction values are required.

NenoData Is Not Affiliated With PropTiger or Aurum PropTech

NenoData does not claim affiliation with PropTiger, partnership with PropTiger Marketing Services Private Limited, partnership with Aurum PropTech, official PropTiger API credentials, unrestricted marketplace access, an existing PropTiger dataset, or authorized-scraper status. Only state such a relationship if separately documented.

Frequently Asked Questions