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GeoIp2\Model\City Object
(
    [raw:protected] => Array
        (
            [city] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

            [continent] => Array
                (
                    [code] => NA
                    [geoname_id] => 6255149
                    [names] => Array
                        (
                            [de] => Nordamerika
                            [en] => North America
                            [es] => Norteamérica
                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
                        )

                )

            [country] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [location] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

            [postal] => Array
                (
                    [code] => 43215
                )

            [registered_country] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [subdivisions] => Array
                (
                    [0] => Array
                        (
                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
                                (
                                    [de] => Ohio
                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                )

            [traits] => Array
                (
                    [ip_address] => 216.73.216.213
                    [prefix_len] => 22
                )

        )

    [continent:protected] => GeoIp2\Record\Continent Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => NA
                    [geoname_id] => 6255149
                    [names] => Array
                        (
                            [de] => Nordamerika
                            [en] => North America
                            [es] => Norteamérica
                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => geonameId
                    [2] => names
                )

        )

    [country:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

        )

    [locales:protected] => Array
        (
            [0] => en
        )

    [maxmind:protected] => GeoIp2\Record\MaxMind Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

            [validAttributes:protected] => Array
                (
                    [0] => queriesRemaining
                )

        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

        )

    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                    [5] => type
                )

        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [ip_address] => 216.73.216.213
                    [prefix_len] => 22
                    [network] => 216.73.216.0/22
                )

            [validAttributes:protected] => Array
                (
                    [0] => autonomousSystemNumber
                    [1] => autonomousSystemOrganization
                    [2] => connectionType
                    [3] => domain
                    [4] => ipAddress
                    [5] => isAnonymous
                    [6] => isAnonymousProxy
                    [7] => isAnonymousVpn
                    [8] => isHostingProvider
                    [9] => isLegitimateProxy
                    [10] => isp
                    [11] => isPublicProxy
                    [12] => isResidentialProxy
                    [13] => isSatelliteProvider
                    [14] => isTorExitNode
                    [15] => mobileCountryCode
                    [16] => mobileNetworkCode
                    [17] => network
                    [18] => organization
                    [19] => staticIpScore
                    [20] => userCount
                    [21] => userType
                )

        )

    [city:protected] => GeoIp2\Record\City Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => names
                )

        )

    [location:protected] => GeoIp2\Record\Location Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

            [validAttributes:protected] => Array
                (
                    [0] => averageIncome
                    [1] => accuracyRadius
                    [2] => latitude
                    [3] => longitude
                    [4] => metroCode
                    [5] => populationDensity
                    [6] => postalCode
                    [7] => postalConfidence
                    [8] => timeZone
                )

        )

    [postal:protected] => GeoIp2\Record\Postal Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => 43215
                )

            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => confidence
                )

        )

    [subdivisions:protected] => Array
        (
            [0] => GeoIp2\Record\Subdivision Object
                (
                    [record:GeoIp2\Record\AbstractRecord:private] => Array
                        (
                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
                                (
                                    [de] => Ohio
                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                    [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                        (
                            [0] => en
                        )

                    [validAttributes:protected] => Array
                        (
                            [0] => confidence
                            [1] => geonameId
                            [2] => isoCode
                            [3] => names
                        )

                )

        )

)

 country : United States
 city : Columbus
US
Array
(
    [as_domain] => amazon.com
    [as_name] => Amazon.com, Inc.
    [asn] => AS16509
    [continent] => North America
    [continent_code] => NA
    [country] => United States
    [country_code] => US
)

Start Your Project

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  • Scrape Diwali Real Estate Discounts & Festive Offers

Scrape Diwali Real Estate Discounts: How Actowiz Solutions Analyzed 50,000+ Property Listings Across India

Actowiz Solutions scraped 50,000+ listings to scrape Diwali real estate discounts, compare festive property prices, and deliver data-driven developer insights.

Download Case Studies

GeoIp2\Model\City Object
(
    [raw:protected] => Array
        (
            [city] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

            [continent] => Array
                (
                    [code] => NA
                    [geoname_id] => 6255149
                    [names] => Array
                        (
                            [de] => Nordamerika
                            [en] => North America
                            [es] => Norteamérica
                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
                        )

                )

            [country] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [location] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

            [postal] => Array
                (
                    [code] => 43215
                )

            [registered_country] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [subdivisions] => Array
                (
                    [0] => Array
                        (
                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
                                (
                                    [de] => Ohio
                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                )

            [traits] => Array
                (
                    [ip_address] => 216.73.216.213
                    [prefix_len] => 22
                )

        )

    [continent:protected] => GeoIp2\Record\Continent Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => NA
                    [geoname_id] => 6255149
                    [names] => Array
                        (
                            [de] => Nordamerika
                            [en] => North America
                            [es] => Norteamérica
                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => geonameId
                    [2] => names
                )

        )

    [country:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

        )

    [locales:protected] => Array
        (
            [0] => en
        )

    [maxmind:protected] => GeoIp2\Record\MaxMind Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

            [validAttributes:protected] => Array
                (
                    [0] => queriesRemaining
                )

        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

        )

    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                    [5] => type
                )

        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [ip_address] => 216.73.216.213
                    [prefix_len] => 22
                    [network] => 216.73.216.0/22
                )

            [validAttributes:protected] => Array
                (
                    [0] => autonomousSystemNumber
                    [1] => autonomousSystemOrganization
                    [2] => connectionType
                    [3] => domain
                    [4] => ipAddress
                    [5] => isAnonymous
                    [6] => isAnonymousProxy
                    [7] => isAnonymousVpn
                    [8] => isHostingProvider
                    [9] => isLegitimateProxy
                    [10] => isp
                    [11] => isPublicProxy
                    [12] => isResidentialProxy
                    [13] => isSatelliteProvider
                    [14] => isTorExitNode
                    [15] => mobileCountryCode
                    [16] => mobileNetworkCode
                    [17] => network
                    [18] => organization
                    [19] => staticIpScore
                    [20] => userCount
                    [21] => userType
                )

        )

    [city:protected] => GeoIp2\Record\City Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => names
                )

        )

    [location:protected] => GeoIp2\Record\Location Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

            [validAttributes:protected] => Array
                (
                    [0] => averageIncome
                    [1] => accuracyRadius
                    [2] => latitude
                    [3] => longitude
                    [4] => metroCode
                    [5] => populationDensity
                    [6] => postalCode
                    [7] => postalConfidence
                    [8] => timeZone
                )

        )

    [postal:protected] => GeoIp2\Record\Postal Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => 43215
                )

            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => confidence
                )

        )

    [subdivisions:protected] => Array
        (
            [0] => GeoIp2\Record\Subdivision Object
                (
                    [record:GeoIp2\Record\AbstractRecord:private] => Array
                        (
                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
                                (
                                    [de] => Ohio
                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                    [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                        (
                            [0] => en
                        )

                    [validAttributes:protected] => Array
                        (
                            [0] => confidence
                            [1] => geonameId
                            [2] => isoCode
                            [3] => names
                        )

                )

        )

)

 country : United States
 city : Columbus
US
Array
(
    [as_domain] => amazon.com
    [as_name] => Amazon.com, Inc.
    [asn] => AS16509
    [continent] => North America
    [continent_code] => NA
    [country] => United States
    [country_code] => US
)
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Navratri Mega Sale Price Tracking

Introduction: Festive Sentiment Meets Data Intelligence

Diwali isn’t just the festival of lights — it’s also India’s favorite time to buy a new home. For decades, developers have launched festive offers, zero-EMI schemes, and discounted down payments to attract homebuyers. But until recently, it was nearly impossible to measure which developers offered the most genuine deals and how property prices actually changed across platforms.

That’s where Actowiz Solutions stepped in. Using its advanced Real Estate Data Scraping API, Actowiz set out to scrape Diwali real estate discounts and analyze pricing transparency across India’s top property markets. Over 50,000 listings were collected from 15 major cities and 6 leading property portals, capturing real-time festive pricing trends, amenities, and promotional schemes during the Diwali 2025 campaign window.

The result? A detailed data-backed analysis revealing how India’s top developers priced, promoted, and positioned their apartments and plots during the country’s most competitive real estate sales season — replacing guesswork with hard evidence and data intelligence from Actowiz Solutions.

The Challenge: Understanding Real vs. Promotional Discounts

Every Diwali, thousands of listings flood real estate portals like MagicBricks, 99acres, Housing.com, and CommonFloor. However, the problem for buyers — and even developers — is opacity:

  • Are discounts truly seasonal or inflated before being “cut down”?
  • How much do property prices actually fluctuate during Diwali week?
  • Which cities see the strongest Diwali-driven demand spikes?
  • How are plots, villas, and apartments priced differently across regions?

Developers wanted insights to benchmark their offers and understand buyer behavior, while property portals wanted pricing transparency to drive engagement.

Actowiz was brought in to scrape, clean, and analyze the data behind the Diwali property boom.

The Actowiz Solution: Scraping the Festive Property Market

Introduction
Step 1 – Multi-Platform Web Scraping

Actowiz deployed its Real Estate Live Crawler API, designed for high-volume property listing extraction. It covered:

  • Portals: 99acres, MagicBricks, Housing.com, NoBroker, CommonFloor, OLX Homes
  • Developers’ Sites: DLF, Lodha, Prestige, Godrej Properties, Shapoorji Pallonji
  • Aggregators: PropTiger, SquareYards, Makaan

Data Points Scraped:

  • Property type (Apartment / Plot / Villa)
  • Locality, city, and pin code
  • Price before discount vs. after discount
  • Per-sq-ft rate
  • Builder / agency name
  • Offer details (festive scheme, gift, EMI waiver, etc.)
  • Listing age and update frequency
Step 2 – Data Normalization & Cleaning

Over 50,000 listings were normalized into a structured dataset using the Actowiz Property Data Model, removing duplicates and identifying real price movements.

Raw Listings Duplicates Removed Cleaned Dataset Cities Covered
50,287 8,610 41,677 15
Step 3 – Real-Time Price Monitoring

The API was configured to scrape updated listings every 6 hours, revealing true Diwali-week price movements rather than one-time screenshots.

Sample Dataset: Diwali Week Price Drop Analysis (Apartments)

City Project Name Developer Pre-Diwali Price (₹/sqft) Diwali Offer Price (₹/sqft) Drop (%)
Mumbai Lodha Palava Lodha Group ₹8,900 ₹8,250 -7.3%
Pune Godrej Hillside Godrej Properties ₹7,600 ₹7,050 -7.2%
Bangalore Prestige Park Grove Prestige Group ₹9,100 ₹8,500 -6.6%
Noida ATS Pristine ATS Infrastructure ₹6,700 ₹6,200 -7.4%
Hyderabad Aparna Serene Aparna Constructions ₹5,900 ₹5,600 -5.1%

Insight: Real discounts ranged between 5%–8% on ready-to-move apartments — significantly higher than the 2–3% average in non-festive months.

Festive Offers Decoded by Data

Scraped property descriptions revealed three primary Diwali promotion types:

Offer Type Share of Listings Example
Direct Price Discount 42% “₹50/sqft off this Diwali”
Gift-Linked Offer 33% “Book now, get modular kitchen worth ₹3L free”
Payment Flexibility 25% “10:90 payment plan till possession”

Actowiz’s sentiment parser detected frequent festive keywords such as “Diwali offer,” “exclusive discount,” “no GST,” and “zero maintenance for 2 years,” giving developers visibility into which marketing phrases attracted the most clicks.

City-Wise Insights – Where the Diwali Buzz Was Brightest

1. Mumbai & Pune: Luxury Discount Wave
  • High-end developers like Lodha and Kalpataru offered 5–8% price drops.
  • Premium buyers preferred move-in-ready homes with Diwali “possession-within-a-month” offers.
2. Delhi NCR: Inventory Clearance Focus
  • NCR developers emphasized “limited stock” urgency messaging.
  • “Pay 10% now, rest after 6 months” dominated keywords.
  • 99acres traffic surged 47% during Oct 10–25.
3. Bangalore: IT-Hub Buyers Go for Smart Homes
  • 6.5% average discount, mostly on 2BHKs.
  • Smart-home add-ons (free Alexa integration, solar balconies) trended.
4. Hyderabad & Chennai: Mid-Segment Buyers Lead
  • Highest Diwali-week booking intent YoY: +38%.
  • Sub-₹80L projects dominated inquiries.

Festive Demand Forecasting with Actowiz Travel Intelligence Model (Adapted for Real Estate)

Actowiz adapted its Travel Price Intelligence algorithm to the property sector, forecasting regional booking inquiries by correlating scraped listing prices with search and click data.

City Avg Daily Listings Scraped Inquiry Surge % (vs. Pre-Diwali)
Mumbai 8,100 +42%
Delhi NCR 7,600 +39%
Pune 5,800 +36%
Bangalore 6,200 +33%
Hyderabad 5,100 +28%

Actowiz Real Estate Intelligence: Cities with discounts above 6% saw 2.4× higher inquiry rates than those offering only gifts or payment flexibility.

Developer Comparison – Who Offered the Deepest Diwali Discounts

Developer Projects Monitored Avg Discount (%) Top Offer Highlight
Lodha Group 11 7.3 “No Stamp Duty + ₹50/sqft off”
Godrej Properties 9 6.8 “10:90 plan + Free parking”
Prestige Group 7 6.2 “Smart Home Upgrade worth ₹2.5L”
DLF 6 5.9 “No GST on 3BHK units”
Sobha 5 5.5 “Early possession scheme”

Observation: Real price cuts were most aggressive in Tier-1 luxury projects, where unsold inventory met pent-up festive demand.

Apartment vs. Plot Listings – Who Won the Festive Race

Category Listings Scraped Avg Discount Avg Search Volume Increase
Apartments 31,800 6.4% +34%
Plots 9,877 5.1% +22%
Villas 5,150 4.8% +19%

Key Trend: Apartments continued to dominate — driven by lower ticket sizes and instant possession offers — while plot demand grew in Tier-2 cities like Surat and Lucknow.

Price Comparison Across Portals (Sample Output)

Project MagicBricks 99acres Housing.com Difference (%)
DLF Midtown, Delhi ₹2.47 Cr ₹2.45 Cr ₹2.49 Cr 1.6%
Godrej Nirvana, Pune ₹78.4 L ₹77.9 L ₹78.2 L 0.7%
Prestige Lakeside, Bangalore ₹1.12 Cr ₹1.09 Cr ₹1.10 Cr 2.7%
Lodha Amara, Thane ₹1.34 Cr ₹1.31 Cr ₹1.33 Cr 2.2%

Actowiz Advantage: The system detected micro price mismatches across portals, helping brokers align pricing and avoid duplicate discount listings.

Seasonal Keyword Intelligence

Top 10 Festive Keywords Extracted from Listing Titles:

  • Diwali Offer
  • Festive Discount
  • Pay 10% Now
  • No Stamp Duty
  • Possession Before Year-End
  • Zero Maintenance
  • Ready-to-Move
  • Limited Units
  • Assured Gifts
  • Festive Bonanza

By scraping keyword frequency and CTR data, Actowiz helped developers refine listing copy and optimize SEM campaigns around proven festive phrases.

Client Results – What the Data Delivered

A top Indian developer group used Actowiz’s Diwali scraping dashboard to benchmark competitors.

Outcomes:

  • Identified underperforming localities with weak festive traction.
  • Adjusted discounts in real time based on competitor data.
  • Achieved 21% more qualified leads and 18% faster inventory turnover.
Metric Before Actowiz After Actowiz Integration Change
Inquiry-to-Lead Conversion 3.2% 4.1% +28%
Booking Closure Rate 1.8% 2.4% +33%
Average Ticket Size ₹74.5L ₹79.2L +6.3%
Unsold Inventory 27% 19% -30%

“We could finally see, not guess, how competitors priced during Diwali. That transparency changed our pricing playbook.”

— Marketing Head, South India Real Estate Group

Competitive Edge Through Data

Actowiz Real Estate Intelligence Platform combines:

  • Web scraping automation
  • Real-time price tracking
  • Festive sentiment analysis
  • Portal-wise offer comparison
  • Visual dashboards for developers and agencies

It’s not just data — it’s actionable pricing intelligence that drives sales during the most competitive quarter of the year.

Technology Overview

Component Technology Function
Crawling Engine Python (Scrapy + Selenium) Portal-level property scraping
Data Storage PostgreSQL + AWS S3 Scalable listing repository
Analytics Engine Power BI Dynamic visualization & discount analysis
API Layer Flask REST API Real-time integration
Data Refresh Every 6 hours Continuous price monitoring

Actowiz Real Estate Intelligence – Business Value

Use Case Benefit
Developers Benchmark offers vs. competitors
Agencies Identify high-ROI projects & keywords
Portals Eliminate duplicate or outdated listings
Investors Detect genuine price drops before public sales
Buyers Access transparent festive pricing insights

Visual Snapshot (Suggested for Graphic/Infographic)

  • Heat map of discount intensity (city-wise)
  • Price trend line: Pre-Diwali → Peak Week → Post-Diwali
  • “Top 10 Developers by Discount Depth” bar chart
  • Inquiry volume surge graph

Festive Takeaways

Key Learnings from Actowiz’s Diwali Real Estate Scraping:

  • Real discounts average 5–8%, not the 10–15% often advertised.
  • “Pay later” and “ready-to-move” outperform gift-based offers.
  • Buyers respond strongest to transparent per-sq-ft discounts.
  • Data-driven developers gain ~30% more festive conversions.

Get Your Diwali Real Estate Data Dashboard

Don’t rely on guesswork this festive season — rely on data.
Discover how Actowiz Solutions can help your real estate business scrape listings, track prices, and decode genuine festive offers across markets.
Contact Us Today!

Real-time. Reliable. Revenue-driven.

Summary Snapshot

Key Metric Result
Listings Scraped 50,000+
Cities Covered 15
Avg Price Drop 6.5%
Inquiry Surge +39%
Conversion Lift +33%
Developer Impact +21% Qualified Leads
Data Accuracy 99.2%

Final Word

In India’s fast-evolving property market, data is the new developer’s edge.

By combining property listing scraping, festive price comparison, and real estate intelligence, Actowiz Solutions empowers builders, agencies, and investors to see what’s really driving demand.

This Diwali, while others advertise “discounts,” Actowiz delivers clarity — powered by 50,000+ real data points.

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