About this Dataset
99acres Real Estate Dataset – Chennai City, India is a comprehensive data package designed for developers, researchers, agents, and decision-makers who need reliable property insights. This dataset delivers structured, export-ready information to power market analyses, lead generation, and feature-rich real estate applications. By compiling listings, attributes, and market signals, it becomes a powerful foundation for property analytics and data-driven decision making.
What’s included in the 99acres Real Estate Dataset – Chennai City, India
- Property listings with address, city, state, and geospatial coordinates
- Listing price, status (active, under offer, sold), and date listed
- Property details: type (house, apartment, townhouse), beds, baths, size (sqm or sq ft), year built
- Listing source, agent, agency, and contact references
- Property URL, photo gallery references, and external listing IDs
- Market signals: days on market, price changes, and price per square meter
- Historical snapshots and trend indicators for benchmarking
Data formats, access, and licensing
This dataset is designed for easy integration into analytics workflows and product features. It supports:
- Export formats: CSV, JSON, and Excel for seamless data ingestion
- API access: available on demand for automated updates and live integrations
- Licensing: commercial licenses with options for single-use, multi-user, or enterprise deployments
- Quality controls: consistent field names, data normalization, and validation checks
Use cases and business value
Leverage the 99acres Real Estate Dataset – Chennai City, India to accelerate outcomes across multiple domains. Typical use cases include:
- Market analysis and trend reporting for local and regional comparisons
- Lead generation and sales enablement for brokers and agencies
- Real estate app and dashboard development with rich property attributes
- Investment screening, risk assessment, and portfolio optimization
- Geospatial analytics and heatmaps for neighborhood planning
Data quality, freshness, and governance
We maintain rigorous data hygiene, with regular updates to reflect market dynamics. Expect:
- Weekly data refresh cycles and daily delta updates where available
- Validation checks for missing values, duplicates, and inconsistent units
- Clear data dictionaries and field-level descriptions for developers
- Provenance tracking to confirm source and timestamp of each record
Why ScraperScoop and the Free Datasets category
ScraperScoop hosts curated datasets like the 99acres Real Estate Dataset – Chennai City, India, enabling easy discovery and comparison. This dataset sits alongside other real estate data in the Free Datasets category where applicable, offering a transparent view of baseline market data alongside premium options. ScraperScoop’s ecosystem makes it simple to benchmark against alternative sources, run reproducible analyses, and integrate data into analytics pipelines.
Getting started: steps to access and use
- Visit ScraperScoop and locate the 99acres Real Estate Dataset – Chennai City, India
- Choose your license (single-use, multi-user, or enterprise) and add to cart
- Download a sample dataset to preview fields and formats
- Connect via CSV/JSON exports or use API endpoints for automated updates
- Incorporate into your dashboards, models, or product features
Sample data fields (example)
Address, city, state, postal code, latitude, longitude, listing_id, price, status, date_listed, property_type, beds, baths, size_sqm, year_built, agent, agency, listing_url
Frequently asked questions
Common questions about this dataset include licensing terms, update frequency, and integration options. If you need a tailored solution, contact our sales team for a custom plan or to request a demo.
Call to action
Ready to empower your real estate analytics with robust, export-ready data? Get access to the 99acres Real Estate Dataset – Chennai City, India today, compare it with other datasets on ScraperScoop, and start building data-driven insights. Want to see how it fits your tech stack? Request a demo or view pricing to get started.
Related terms and additional resources
For deeper context, explore semantic keywords such as property listings data, real estate analytics, market trends, geospatial data, data normalization, data quality, API access, and CSV/JSON exports. This helps ensure comprehensive coverage of user intents—from data scientists seeking clean datasets to product teams building feature-rich real estate tools.
