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            [validAttributes:protected] => Array
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    [registeredCountry:protected] => GeoIp2\Record\Country Object
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    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
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    [traits:protected] => GeoIp2\Record\Traits Object
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            [validAttributes:protected] => Array
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    [postal:protected] => GeoIp2\Record\Postal Object
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            [validAttributes:protected] => Array
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                        (
                            [geoname_id] => 5165418
                            [iso_code] => OH
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                                (
                                    [de] => Ohio
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 country : United States

 city : Columbus

US

Array
(
    [as_domain] => amazon.com
    [as_name] => Amazon.com, Inc.
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    [continent_code] => NA
    [country] => United States
    [country_code] => US
)

Introduction

We collected data on 19,294 California properties using our Zillow Real Estate Data Scraping tool and delved into the analysis to glean intriguing findings.

In the dynamic landscape of real estate today, accessing and dissecting precise data is paramount for informed choices. Utilizing Zillow's housing data, both businesses and individuals can uncover profound understandings of market shifts, price trends, and buyer inclinations.

This blog delves into the pivotal role of web scraping in deciphering real estate market dynamics, highlighting the transformative potential of extracting insights from platforms like Zillow. The analysis draws from data sourced via the Zillow Data Scraper by Actowiz Solutions. As we progress, we'll unpack the revelations stemming from our thorough examination of over 19,294 properties listed on Zillow in California.

Analyzing Real Estate Trends Using Zillow Data

Extracting insights from Zillow's extensive property data opens doors to comprehensive details on listings, pricing dynamics, unique features, and overarching market shifts. Such a methodological approach equips experts with the tools to discern current market dynamics and forecast future trajectories in real estate.

To illustrate, based on our findings, California's median home prices commenced at 729,610 USD in January 2023. A marginal decline was observed in February and March. Yet, come April, a consistent resurgence began. By September, the pinnacle was reached, with home values touching 747,352 USD, signaling a positive momentum in California's real estate landscape for that year.

In the realm of real estate, the period a property stays showcased on Zillow before its sale is a pivotal indicator. This metric, commonly known as 'Days on Market' (DOM), provides essential cues to real estate experts about the market's vitality and the patterns of prospective buyers.

Our data analysis reveals that a notable chunk of California properties (5,363) change hands swiftly within 1 to 20 days, emphasizing the state's vibrant and rapid real estate landscape. This surge indicates fervent buyer demand and an intensely competitive market where listings are promptly acquired after their debut. Properties lingering longer on listings are becoming scarce, hinting at potential factors diminishing their broad appeal.

Using its distinct algorithm, Zestimate, an iconic Zillow feature, offers a ballpark figure for property values. While it serves as a preliminary valuation tool, juxtaposing Zillow's market reports with our insights uncovers a noteworthy pattern: Zestimates frequently trail the actual sale prices.

Deciphering Market Dynamics Through Zillow Data Analysis

In real estate, staying ahead necessitates a deep dive into precise and expansive data, with Zillow housing data standing out as a cornerstone. Leveraging Actowiz Solutions' Zillow Data Scraper to extract insights from Zillow empowers real estate professionals with a treasure trove of information. This data is instrumental in decoding market shifts and discerning evolving consumer inclinations.

Drawing parallels between rental and sales properties offers profound insights. A dominance of properties on sale, as opposed to those for rent, may hint at a robust, homeowner-centric market. In contrast, a higher inventory of rental properties might reflect a community characterized by mobility or a focus on investment.

Our data underscores this dichotomy. A notable surplus of houses listed for sale (13,283) compared to rentals (7,555), signaling a pronounced tilt towards homeownership. Such a trend suggests a settled, family-centric locale valuing enduring residency and property ownership.

However, the landscape shifts when considering condos and townhouses. The data reveals a stark contrast: most condos (11,083) are available for rent, dwarfing the sales listings (1,428). Townhouses echo a similar sentiment, with 1,219 for rent instead of a mere 430 for sale. Such a scenario hints at these properties' appeal to transient populations, students, or professionals prioritizing rental flexibility. Furthermore, it underscores a notable investor footprint, with properties often acquired for rental yields rather than outright sales.

Through Zillow Real Estate Data Scraping, one can gauge the distribution of various property types prevalent in the market. Predominantly, 73.81% of Zillow's listings spotlight traditional standalone houses, underscoring a pronounced inclination towards classic single-family dwellings. This penchant for houses likely stems from aspirations for spaciousness, seclusion, and the allure of owning a home within a familial ambiance.

Concurrently, manufactured homes carve out an 8.44% share, spotlighting a segment of the market drawn to cost-effective and potentially adaptable housing alternatives. Condos, representing 8.01% of the listings, resonate with individuals or couples prioritizing a hassle-free living experience.

The 6.01% stake held by multi-family homes signals an avenue ripe for investment, given their capacity to accommodate multiple lessees. Meanwhile, townhouses, constituting a modest 2.51%, cater to a specialized demographic seeking a blend of standalone house and condo attributes.

Delving into the average pricing across these Zillow-listed property categories furnishes invaluable insights into prevailing market valuations, elucidating the relative worth of distinct property genres.

Deciphering Property Worth Using Zillow Data

Determining property value is a pivotal element in real estate, demanding accuracy and up-to-date information. Employing Real Estate Data Collection services to extract insights from Zillow equips real estate experts with the indispensable data needed to evaluate any property's worth meticulously.

The depicted graph, juxtaposing average property prices against square footage, unveils pivotal correlations between size and value. This analytical perspective, harnessed from Zillow data via Actowiz Solutions’ Zillow Data Scraper, elucidates prevailing market valuation patterns.

For instance, locales, where expansive properties fetch notably elevated prices, suggest a pronounced valuation on spaciousness. Such insights can significantly shape real estate transactions, guiding buyers and sellers. Notably, the 1000-5000 square feet bracket emerges with peak average prices, underscoring the premium attached to properties within this size range. Conversely, the 5000-10,000 square feet segment records more modest average prices, positioning it as a comparatively budget-friendly zone.

Analyzing the pricing variations of Zillow-listed properties based on bedroom count provides valuable insights into the influence of bedroom quantity on a property's market worth. In regions where extra bedrooms substantially elevate property values, it suggests an increased appetite for family-centric residences or rental accommodations designed for expansive households.

Leveraging Zillow Data for Optimal Investment Returns

Examining Zillow's rental zestimate across various home types in California serves as a strategic tool for investors. For example, a higher rental zestimate for multi-family homes than townhouses could signal a more lucrative rental landscape for the former in that specific area. Such insights empower investors to deploy resources, aiming for enhanced profitability strategically.

Analyzing the rental rates of Zillow-listed properties in California based on bedroom count offers invaluable insights into the rental landscape. Such data reveals which property layouts yield the highest rental yields. Elevated rents for properties boasting more bedrooms may indicate a preference for larger family residences or communal living setups, influencing investment decisions to capitalize on these trends.

Decoding Real Estate Trends Using Zillow Data

The ever-evolving real estate landscape, molded by economic shifts and evolving consumer choices, becomes more transparent through in-depth data analysis from platforms such as Zillow.

The relationship between listing duration and property valuations unveils critical dynamics within the real estate realm. Our analysis indicates that properties priced on the lower end often secure buyers swiftly, typically within 1 to 20 days, highlighting robust demand for such affordable options. Conversely, higher-priced listings frequently remain unsold for prolonged periods, sometimes exceeding 100 days. Such prolonged listings suggest these properties are priced above market expectations or perceived as lacking value for their cost. This emphasizes the pivotal role of strategic pricing in real estate, emphasizing that aptly priced properties tend to garner quicker buyer interest.

The nature of properties transacted provides notable revelations. In 2023, the California real estate landscape distinctly favored houses, recording an impressive 127,857 sales. Condos and manufactured homes trailed but still garnered considerable interest across diverse market sectors. In contrast, apartments lagged with a mere 1,067 units changing hands. Collectively, these transaction metrics underscore California's preference for conventional, expansive, and secluded housing options, with a comparatively subdued appetite for the compact, shared environments characteristic of apartments.

Analyzing property transactions in California over the recent six-month period, mainly when categorized by price segments, illuminates active market sectors and evolving consumer behaviors. Notably, 71,051 properties were sold within the 500,000 USD to 1 million USD range, indicating its appeal to many buyers, encompassing middle-income families, newcomers to the property market, and discerning investors.

Conversely, as the price brackets ascend, there's a discernible decline in transaction volumes. From 5 million USD to upwards of 15 million USD, the luxury segments record notably fewer sales. This disparity underscores California's buyer demographics' distinct purchasing capacities and economic preferences.

Examining the volume of properties listed by various real estate agencies on Zillow reveals their market dominance and impact. Such insights spotlight the competitive landscape and illuminate how different agencies cater to evolving consumer demands. For brokers, this data extracted from Zillow offers invaluable guidance, aiding them in refining their market strategies and positioning.

Closing Thoughts

The revelations extracted from Zillow data through Zillow Real Estate Data Scraping shed light on various dimensions of the real estate arena. The insights gleaned from discerning pricing trajectories, decoding consumer inclinations, or grasping market shifts are paramount. They not only pave the way for informed choices but also craft strategies attuned to the fluid dynamics of real estate.

Undoubtedly, a Zillow crawler emerges as an indispensable asset in this exploration. Locking a treasure trove of Zillow's data equips stakeholders with pivotal insights to traverse the market's intricacies with assurance.

Actowiz Solutions’ Zillow Data Scraper stands out as a potent, streamlined solution for enthusiasts keen on deepening their grasp of the real estate domain. Embrace Actowiz Solutions’ Zillow Data Scraper and soar to unparalleled peaks in your real estate pursuits. Harness the transformative potential of data and embark on your next venture fortified with conviction. For more details, contact us now! You can also reach us for all your mobile app scraping, instant data scraper and web scraping service requirements.

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                    [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

+1 ▼

Select Service Web Scraping Real-Time API Access Data Dashboards Datasets Review & Sentiment Analysis Price Monitoring Custom Solution

Select Industry E-Commerce Quick Commerce Food Delivery Travel & OTA Grocery & Retail Real Estate Others

Target Country Web Scraping Services Mobile App Scraping Web and App Scraping API Datasets Dashboard

A$лвR$C$CHF¥Kčkr€£HK$FtRp₪₹kr¥₩Mex$RMkrNZ$₱złleikrS$฿₺$R Budget Range $500 - $1,000 - Starter Budget (POC/Single Site) $1,000 - $2,500 - Basic Plan (Small Business Needs) $2,500 - $5,000 - Growth Phase (Multi-site/Data Volume Projects) $5,000 - $10,000 - Business-Scale (Automation/API Integrations) $10,000 - $25,000 - Enterprise Projects (Real-Time Systems, Global Data) $25,000 - $50,000 - Enterprise+ (Custom Dashboards, Ongoing Support) $50,000+ - Strategic Partnership (End-to-End Data Ops)

Additional Trust Elements

✨ "1000+ Projects Delivered Globally"

⭐ "Rated 4.9/5 on Google & G2"

🔒 "Your data is secure with us. NDA available."

💬 "Average Response Time: Under 12 hours"

From Raw Data to Real-Time Decisions

All in One Pipeline

Scrape → Structure → Analyze → Visualize

Explore Solutions Get a Custom Demo

Look Back Analyze historical data to discover patterns, anomalies, and shifts in customer behavior.

Find Insights Use AI to connect data points and uncover market changes. Meanwhile.

Move Forward Predict demand, price shifts, and future opportunities across geographies.

Ecommerce

Q-Commerce

Travel & OTA

Food Delivery

Real Estate

Social Media

Trusted by Global Leaders – Secured by International Standards

Industry:

Coffee / Beverage / D2C

Result

2x Faster

Smarter product targeting

★★★★★

“Actowiz Solutions has been instrumental in optimizing our data scraping processes. Their services have provided us with valuable insights into our customer preferences, helping us stay ahead of the competition.”

Operations Manager, Beanly Coffee

✓ Competitive insights from multiple platforms

Industry:

Real Estate

Result

2x Faster

Real-time RERA insights for 20+ states

★★★★★

“Actowiz Solutions provided exceptional RERA Website Data Scraping Solution Service across PAN India, ensuring we received accurate and up-to-date real estate data for our analysis.”

Data Analyst, Aditya Birla Group

✓ Boosted data acquisition speed by 3×

Industry:

Organic Grocery / FMCG

Result

Improved

competitive benchmarking

★★★★★

“With Actowiz Solutions' data scraping, we’ve gained a clear edge in tracking product availability and pricing across various platforms. Their service has been a key to improving our market intelligence.”

Product Manager, 24Mantra Organic

✓ Real-time SKU-level tracking

Industry:

Quick Commerce

Result

2x Faster

Inventory Decisions

★★★★★

“Actowiz Solutions has greatly helped us monitor product availability from top three Quick Commerce brands. Their real-time data and accurate insights have streamlined our inventory management and decision-making process. Highly recommended!”

Aarav Shah, Senior Data Analyst, Mensa Brands

✓ 28% product availability accuracy

✓ Reduced OOS by 34% in 3 weeks

Industry:

Quick Commerce

Result

3x Faster

improvement in operational efficiency

★★★★★

“Actowiz Solutions' data scraping services have helped streamline our processes and improve our operational efficiency. Their expertise has provided us with actionable data to enhance our market positioning.”

Business Development Lead,Organic Tattva

✓ Weekly competitor pricing feeds

Industry:

Beverage / D2C

Result

Faster

Trend Detection

★★★★★

“The data scraping services offered by Actowiz Solutions have been crucial in refining our strategies. They have significantly improved our ability to analyze and respond to market trends quickly.”

Marketing Director, Sleepyowl Coffee

Boosted marketing responsiveness

Industry:

Quick Commerce

Result

Enhanced

stock tracking across SKUs

★★★★★

“Actowiz Solutions provided accurate Product Availability and Ranking Data Collection from 3 Quick Commerce Applications, improving our product visibility and stock management.”

Growth Analyst, TheBakersDozen.in

✓ Improved rank visibility of top products

Trusted by Industry Leaders Worldwide

Real results from real businesses using Actowiz Solutions

★★★★★

'Great value for the money. The expertise you get vs. what you pay makes this a no brainer"

Thomas Galido

Co-Founder / Head of Product at Upright Data Inc.

2 min

★★★★★

“I strongly recommend Actowiz Solutions for their outstanding web scraping services. Their team delivered impeccable results with a nice price, ensuring data on time.”

Iulen Ibanez

CEO / Datacy.es

1 min

★★★★★

“Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing highly recommended!”

Febbin Chacko

-Fin, Small Business Owner

1 min

See Actowiz in Action – Real-Time Scraping Dashboard + Success Insights

Blinkit (Delhi NCR)

In Stock
₹524

Amazon USA

Price Drop + 12 min
in 6 hrs across Lel.6

Appzon AirPdos Pro

Price
Drop −12 thr

Zepto (Mumbai)

Improved inventory
visibility & planning

Monitor Prices, Availability & Trends -Live Across Regions

Actowiz's real-time scraping dashboard helps you monitor stock levels, delivery times, and price drops across Blinkit, Amazon: Zepto & more.

✔ Scraped Data: Price Insights Top-selling SKUs

Request Demo Access

Our Data Drives Impact - Real Client Stories

Blinkit | India (Retail Partner)

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

US Electronics Seller (Amazon - Walmart)

With hourly price monitoring, we aligned promotions with competitors, drove 17%

✔ Scraped Data, SKU availability, delivery time

Zepto Q Commerce Brand

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

Actowiz Insights Hub

Actionable Blogs, Real Case Studies, and Visual Data Stories -All in One Place

All

Blog

Case Studies

Infographics

Report

Oct 10, 2025

How Scrape SpiritStore.co.uk Discounts & Deals Reveals Shifts in UK Consumer Liquor Demand?

Discover how Scrape SpiritStore.co.uk Discounts & Deals uncovers trends in UK consumer liquor demand, tracking promotions, clearance offers, and buying patterns.

Tracking FirstCry Discounts During Festive Seasons – A Case Study for Diaper Brands

Actowiz Solutions analyzes FirstCry’s festive discounts to reveal price, demand, and sales trends for diaper brands during India’s top shopping seasons.

Festive Price Surge Tracker: Amazon Fresh vs BigBasket vs JioMart in India

Track how prices of sweets, snacks, and groceries surged across Amazon Fresh, BigBasket, and JioMart during Diwali & Navratri in India with Actowiz festive price insights.

UK Food Aggregator Pricing Scraping Reveals Competitive Pricing Trends Across Deliveroo, Just Eat, and Uber Eats

This research report uses UK Food Aggregator Pricing Scraping to reveal competitive pricing trends across Deliveroo, Just Eat, and Uber Eats

Oct 10, 2025

How Scrape SpiritStore.co.uk Discounts & Deals Reveals Shifts in UK Consumer Liquor Demand?

Discover how Scrape SpiritStore.co.uk Discounts & Deals uncovers trends in UK consumer liquor demand, tracking promotions, clearance offers, and buying patterns.

Oct 10, 2025

Product Variants, Offers & Discount Scraping Reveals 30% Increase in Quick Commerce & Supermarket Promotions

Discover how Product Variants, Offers & Discount Scraping reveals a 30% increase in promotions across quick commerce and supermarket websites for smarter strategies.

Oct 10, 2025

How the Wayfair Ratings and Reviews Aggregate API Can Help Collect Ratings & Reviews in the USA?

Leverage the Wayfair Ratings and Reviews Aggregate API to efficiently collect, analyze, and consolidate customer ratings and reviews across the USA market.

Read More

Tracking FirstCry Discounts During Festive Seasons – A Case Study for Diaper Brands

Actowiz Solutions analyzes FirstCry’s festive discounts to reveal price, demand, and sales trends for diaper brands during India’s top shopping seasons.

EV Charging Infrastructure Mapping Highlights 35% Growth Opportunities Across European Urban Areas

Explore how EV Charging Infrastructure Mapping uncovers 35% growth opportunities across European cities using ChargePoint and EVgo data for smart planning.

Government Schemes Data Scraping: Central & State Program Intelligence

See how Actowiz Solutions scraped and organized current Indian government schemes across healthcare, education, agriculture, and business sectors.

Read More

Festive Price Surge Tracker: Amazon Fresh vs BigBasket vs JioMart in India

Track how prices of sweets, snacks, and groceries surged across Amazon Fresh, BigBasket, and JioMart during Diwali & Navratri in India with Actowiz festive price insights.

Top 5 Brands Offering Deepest Discounts on Clothes This Navratri

Score big this Navratri 2025! Discover the top 5 brands offering the biggest clothing discounts and grab stylish festive outfits at unbeatable prices.

Top 10 Most Ordered Grocery Items During Navratri 2025

Discover the top 10 most ordered grocery items during Navratri 2025. Explore popular festive essentials for fasting, cooking, and celebrations.

Read More

UK Food Aggregator Pricing Scraping Reveals Competitive Pricing Trends Across Deliveroo, Just Eat, and Uber Eats

This research report uses UK Food Aggregator Pricing Scraping to reveal competitive pricing trends across Deliveroo, Just Eat, and Uber Eats

KEETA Menu Data Extraction Reveals High-Demand Dishes and Peak Hours Across Saudi Arabia

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Price Matching & Availability Analysis for Lidl in the UK Retail Market

Discover key insights in the UK retail market with our Research Report – Price Matching & Availability Analysis for Lidl, tracking pricing trends and stock availability.

Read More

Our perks are irreplaceable

Time Zone Flexibility

Benefit from the ease of collaboration with Actowiz Solutions, as our team is aligned with your preferred time zone, ensuring smooth communication and timely delivery.

Clear Communication

Our team focuses on clear, transparent communication to ensure that every project is aligned with your goals and that you’re always informed of progress.

Uncompromising Quality

Actowiz Solutions adheres to the highest global standards of development, delivering exceptional solutions that consistently exceed industry expectations

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