LAGIC
Lead Audience Growth Intelligence Computing
9

99acres Property Search Scraper — 99acres | Lagic

Built For

Structured Property Data from 99acres Search Results

Curated by Lagic·Verified working

Configure Agent

Add the URLs of the property list urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list.

If true, the scraper will continue running even if some URLs fail to be scraped.

The maximum number of items to scrape per URL.

Results to deliver

800 credits

This agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.

Lagic Proxy

Country auto-rotated. Need a specific region? Contact support.

Pricing

8 credits per result
✓ 30 free credits on signup✓ Refund if 0 results✓ No card required

Sample Data Preview

Property type (e.g., apartment, villa, commercial)Number of bedrooms and bathroomsTotal area and unit (e.g., sqft)Formatted price and price per unit areaLocality, city, and detailed landmark informationProperty age and furnishing status
Value...292Value...$19.99Value...Value...
Value...374Value...$19.99Value...Value...
..................
Exports as:CSVXLSXJSON

Overview

Gather detailed property listings from 99acres, including pricing, area specifications, amenities, contact details, and location data, to fuel real estate analysis, competitive intelligence, or lead generation efforts.

The 99acres Property Search Scraper is a specialized tool designed to extract comprehensive property information from 99acres.com, one of India's prominent real estate portals. This tool helps users acquire structured data directly from property list pages, eliminating the need for manual data collection. ### What Data You Get This scraper delivers a rich dataset for each property, covering essential details like the number of bedrooms and bathrooms, total area, and the unit of measurement (e.g., square feet). You'll receive formatted pricing information, locality names, and detailed address components. For a visual overview, the tool provides URLs for property images and videos, along with thumbnail images. Key features and selling points (USPs) of properties are also extracted. Beyond the basics, the data includes specifics about the property's age, furnishing status, and whether it's in a gated community. You can see the property's type (e.g., apartment, villa, commercial), its unique ID, and the name of the building or society. The tool also provides contact information, including the dealer's name and company, and indicates if the dealer or poster is RERA registered, adding a layer of verification. Crucially, you'll get important dates such as the posting date and last update date, allowing you to monitor data freshness and market activity. For those interested in deeper analysis, the output includes geographical details, offer tags, and various primary and secondary tags that categorize the property. Whether you're tracking new launches or established properties, this tool provides the granular data needed. ### Who This Tool Serves Real estate professionals, market researchers, investors, and developers can use this data for a multitude of purposes. It's particularly valuable for competitive analysis, understanding market trends, identifying investment opportunities, and building targeted lead lists. The detailed amenity and feature lists can help in comparative analysis, while contact details can support outreach efforts. The ability to track posting and update dates helps in monitoring market dynamics and property availability over time.

Key Capabilities

  • Property type (e.g., apartment, villa, commercial)
  • Number of bedrooms and bathrooms
  • Total area and unit (e.g., sqft)
  • Formatted price and price per unit area
  • Locality, city, and detailed landmark information
  • Property age and furnishing status
  • Building or society name
  • Details on amenities and key selling points
  • URLs for property images and videos
  • Contact name and company for the listing
  • Verification status (e.g., RERA registered, self-verified)
  • Posting and last update dates of the listing
  • Property description and associated tags
  • Geographical map details and coordinates
  • Track competitor property listings and pricing strategies on 99acres.
  • Build a database of rental or sale properties in specific Indian cities or localities for clients.
  • Monitor new property launches and inventory changes in target development areas.
  • Perform market research to identify trends in property types, amenities, and price ranges.
  • Generate leads for real estate agents by extracting contact information from property listings.
  • Analyze historical data on property posting and update dates to understand market velocity and demand.
  • Develop automated valuation models (AVMs) by collecting comprehensive property feature and pricing data.

Field Dictionary

How To Run This Extractor

1

Copy the URLs of the 99acres property list pages you wish to extract data from.

2

Paste these URLs into the 'URLs of the property list urls to scrape' input field.

3

Optionally, specify the 'Max items per URL' if you want to limit the number of properties extracted from each list.

4

Choose whether to 'Continue running even if some URLs fail to be scraped' to ensure partial results are still delivered.

5

Run the tool, and it will navigate the specified pages and collect the property data.

6

Download the extracted, structured property information in your preferred format.

Frequently Asked Questions

What technical skills are needed to use this tool?
No coding or advanced technical skills are required. You simply paste property list URLs into the input field and run the tool.
In what formats can I download the extracted data?
How reliable is the data extracted from 99acres?
Can I use this for client projects?
What happens if some URLs fail during a scrape?
Is there a limit to how many properties I can scrape?
How does this tool handle anti-scraping measures?
How fresh is the data I receive?
Can I schedule this tool to run periodically?
How is the cost determined for using this scraper?