Note:- Only publicly available data can be worked upon

APISCRAPY collects and organizes data from Zillow's massive database, whether it's property characteristics, market trends, pricing histories, or more. Because of APISCRAPY's first-rate data extraction services, tracking property values, examining neighborhood trends, and monitoring housing market variations become a straightforward and efficient process.

APISCRAPY's Zillow real estate data scraping service offers numerous advantages for individuals and businesses seeking valuable insights into the real estate market. Here are key benefits associated with their advanced data extraction technology:

1. Real-time Zillow Real Estate Data: Users can access real-time data from Zillow, providing timely updates on property listings, market dynamics, and other critical factors. This real-time information is invaluable for making informed decisions in a fast-paced real estate environment.

2. Data Customization: APISCRAPY allows users to customize the data extraction process, tailoring it to their specific needs. This flexibility ensures that the extracted Zillow real estate data aligns precisely with the user's requirements.

3. Precision and Accuracy: The advanced algorithms utilized by APISCRAPY enhance the precision and accuracy of the extracted Zillow real estate data. This reliability is crucial for making well-informed decisions related to property investments and market trends.

4. Efficient Data Extraction: APISCRAPY's technology streamlines the data extraction process, saving users time and effort. The efficiency of the extraction workflow ensures that users can access the desired Zillow real estate data without unnecessary delays.

5. User-friendly Interface: APISCRAPY provides a user-friendly interface, making it accessible for individuals and businesses to navigate and utilize the Zillow real estate data scraping service with ease.

APISCRAPY provides real-time real estate market data drawn from Zillow, ensuring that consumers have access to the most up-to-date and comprehensive real estate insights available. Our real-time real estate market data services aren't simply a game changer in today's dynamic real estate landscape; they're an absolute requirement.

Our dedication to offering high-quality real estate data extraction services is based on the utilization of Zillow Real Estate Data. APISCRAPY's integration of Zillow Real Estate Data sets it different from the competition, whether you're a seasoned real estate professional or a homeowner wanting to sell, buy, or invest.

APISCRAPY's data extraction is a key element, and it is an automated and smooth procedure that is at the heart of the platform's operation. Our platform gathers Zillow real estate data quickly and offers it in an easily consumable format with the click of a button.

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Extract detailed property data points — address, URL, prices, floor space, overview, parking, agents, and more — from any real estate listings. The Rankings data contains the ranking of properties as they come in the SERPs of different property listing sites. Furthermore, with our real estate agents' data, you can directly get in touch with the real estate agents/brokers via email or phone numbers.

A. Usecase/Applications possible with the data:

1. Property pricing - accurate property data for real estate valuation. Gather information about properties and their valuations from Federal, State, or County level websites. Monitor the real estate market across the country and decide the best time to buy or sell based on data

2. Secure your real estate investment - Monitor foreclosures and auctions to identify investment opportunities. Identify areas within special economic and opportunity zones such as QOZs - cross-map that with commercial or residential listings to identify leads. Ensure the safety of your investments, property, and personnel by analyzing crime data prior to investing.

3. Identify hot, emerging markets - Gather data about rent, demographic, and population data to expand retail and e-commerce businesses. Helps you drive better investment decisions.

4. Profile a building’s retrofit history - a building permit is required before the start of any construction activity of a building, such as changing the building structure, remodeling, or installing new equipment. Moreover, many large cities provide public datasets of building permits in history. Use building permits to profile a city’s building retrofit history.

5. Study market changes - New construction data helps measure and evaluate the size, composition, and changes occurring within the housing and construction sectors.

6. Finding leads - Property records can reveal a wealth of information, such as how long an owner has currently lived in a home. US Census Bureau data and City-Data.com provide profiles of towns and city neighborhoods as well as demographic statistics. This data is available for free and can help agents increase their expertise in their communities and get a feel for the local market.

7. Searching for Targeted Leads - Focusing on small, niche areas of the real estate market can sometimes be the most efficient method of finding leads. For example, targeting high-end home sellers may take longer to develop a lead, but the payoff could be greater. Or, you may have a special interest or background in a certain type of home that would improve your chances of connecting with potential sellers. In these cases, focused data searches may help you find the best leads and develop relationships with future sellers.

How does it work?

• Analyze sample data
• Customize parameters to suit your needs
• Add to your projects
• Contact support for further customization

Zillow reigns supreme in the U.S. real estate website landscape, attracting a staggering ***** million monthly visits in 2024. This figure dwarfs its closest competitor, Realtor.com, which garnered less than half of Zillow's traffic. Online platforms are extremely popular, with the majority of homebuyers using a mobile device during the buying process. The rise of Zillow Founded in 2006, the Seattle-headquartered proptech Zillow has steadily grown over the years, establishing itself as the most popular U.S. real estate website. In 2023, the listing platform recorded about *** million unique monthly users across its mobile applications and website. Despite holding an undisputed position as a market leader, Zillow's revenue has decreased since 2021. A probable cause for the decline is the plummeting of housing transactions and the negative housing sentiment. Performance and trends in the proptech market The proptech market has shown remarkable performance, with companies like Opendoor and Redfin experiencing significant stock price increase in 2023. This growth is particularly notable in the residential brokerage segment. Meanwhile, major players in proptech fundraising, such as Fifth Wall and Hidden Hill Capital, have raised billions in direct investment, further fueling the sector's development. As technology continues to reshape the real estate industry, online platforms like Zillow are likely to play an increasingly crucial role in how people search for and purchase homes. (1477916, 1251604)

The Easiest Way to Collect Data from the Internet Download anything you see on the internet into spreadsheets within a few clicks using our ready-made web crawlers or a few lines of code using our APIs

We have made it as simple as possible to collect data from websites

Easy to Use Crawlers Amazon Product Details and Pricing Scraper Amazon Product Details and Pricing Scraper Get product information, pricing, FBA, best seller rank, and much more from Amazon.

Google Maps Search Results Google Maps Search Results Get details like place name, phone number, address, website, ratings, and open hours from Google Maps or Google Places search results.

Twitter Scraper Twitter Scraper Get tweets, Twitter handle, content, number of replies, number of retweets, and more. All you need to provide is a URL to a profile, hashtag, or an advance search URL from Twitter.

Amazon Product Reviews and Ratings Amazon Product Reviews and Ratings Get customer reviews for any product on Amazon and get details like product name, brand, reviews and ratings, and more from Amazon.

Google Reviews Scraper Google Reviews Scraper Scrape Google reviews and get details like business or location name, address, review, ratings, and more for business and places.

Walmart Product Details & Pricing Walmart Product Details & Pricing Get the product name, pricing, number of ratings, reviews, product images, URL other product-related data from Walmart.

Amazon Search Results Scraper Amazon Search Results Scraper Get product search rank, pricing, availability, best seller rank, and much more from Amazon.

Amazon Best Sellers Amazon Best Sellers Get the bestseller rank, product name, pricing, number of ratings, rating, product images, and more from any Amazon Bestseller List.

Google Search Scraper Google Search Scraper Scrape Google search results and get details like search rank, paid and organic results, knowledge graph, related search results, and more.

Walmart Product Reviews & Ratings Walmart Product Reviews & Ratings Get customer reviews for any product on Walmart.com and get details like product name, brand, reviews, and ratings.

Scrape Emails and Contact Details Scrape Emails and Contact Details Get emails, addresses, contact numbers, social media links from any website.

Walmart Search Results Scraper Walmart Search Results Scraper Get Product details such as pricing, availability, reviews, ratings, and more from Walmart search results and categories.

Glassdoor Job Listings Glassdoor Job Listings Scrape job details such as job title, salary, job description, location, company name, number of reviews, and ratings from Glassdoor.

Indeed Job Listings Indeed Job Listings Scrape job details such as job title, salary, job description, location, company name, number of reviews, and ratings from Indeed.

LinkedIn Jobs Scraper Premium LinkedIn Jobs Scraper Scrape job listings on LinkedIn and extract job details such as job title, job description, location, company name, number of reviews, and more.

Redfin Scraper Premium Redfin Scraper Scrape real estate listings from Redfin. Extract property details such as address, price, mortgage, redfin estimate, broker name and more.

Yelp Business Details Scraper Yelp Business Details Scraper Scrape business details from Yelp such as phone number, address, website, and more from Yelp search and business details page.

Zillow Scraper Premium Zillow Scraper Scrape real estate listings from Zillow. Extract property details such as address, price, Broker, broker name and more.

Amazon product offers and third party sellers Amazon product offers and third party sellers Get product pricing, delivery details, FBA, seller details, and much more from the Amazon offer listing page.

Realtor Scraper Premium Realtor Scraper Scrape real estate listings from Realtor.com. Extract property details such as Address, Price, Area, Broker and more.

Target Product Details & Pricing Target Product Details & Pricing Get product details from search results and category pages such as pricing, availability, rating, reviews, and 20+ data points from Target.

Trulia Scraper Premium Trulia Scraper Scrape real estate listings from Trulia. Extract property details such as Address, Price, Area, Mortgage and more.

Amazon Customer FAQs Amazon Customer FAQs Get FAQs for any product on Amazon and get details like the question, answer, answered user name, and more.

Yellow Pages Scraper Yellow Pages Scraper Get details like business name, phone number, address, website, ratings, and more from Yellow Pages search results.

In the realm of real estate data solutions, BatchData Property Data Search API emerges as a technical marvel, tailored for product and engineering leadership seeking robust and scalable solutions. This purpose-built API seamlessly integrates diverse datasets, offering over 600 data points, to provide a holistic view of property characteristics, valuation, homeowner information, listing data, county assessor details, photos, and foreclosure information. With state-of-the-art infrastructure and performance features, BatchData sets the standard for efficiency, reliability, and developer satisfaction.

Unraveling the Technical Prowess of BatchData Property Data Search API:

State-of-the-Art Infrastructure: At the heart of BatchData lies a state-of-the-art infrastructure that leverages the latest technologies available. Our systems are engineered to handle increased loads and growing datasets with ease, ensuring optimal performance without significant degradation. This commitment to technological advancement ensures that our data infrastructure and API systems operate at peak efficiency, even in the face of evolving demands and complexities.

Integration Capabilities: BatchData boasts integration capabilities that are second to none, thanks to our innovative data lake house architecture. This architecture empowers us to seamlessly integrate our data with any data platforms or pipelines in a matter of minutes. Whether it's connecting with existing data systems, third-party applications, or internal pipelines, our API offers limitless integration possibilities, enabling product and engineering teams to unlock the full potential of property data with minimal effort.

Developer Documentation: One of the hallmarks of BatchData is our clear and comprehensive developer documentation, which developers love. We understand the importance of providing developers with the resources they need to integrate our API seamlessly into their projects. Our documentation offers detailed guides, code samples, API reference materials, and best practices, empowering developers to hit the ground running and leverage the full capabilities of BatchData with confidence.

Performance Features: BatchData Property Search API is engineered for performance, delivering lightning-fast response times and seamless scalability. Our API is designed to efficiently handle increased loads and growing datasets, ensuring that users experience minimal latency and maximum reliability. Whether it's retrieving property data, conducting complex queries, or accessing real-time updates, our API delivers exceptional performance, empowering product and engineering teams to build high-performance applications and systems with ease. BatchData's APIs work for both residential real estate data and commercial real estate data.

Common Use Cases for BatchData Property Data Search API:

Powering Data-Driven Applications: Product and engineering teams can leverage BatchData Property Data Search API to power data-driven applications tailored for the real estate industry. Whether it's building real estate websites, mobile applications, or internal tools, our API offers comprehensive property data that can drive informed decision-making, enhance user experiences, and streamline operations.

Enabling Advanced Analytics: With BatchData, product and engineering leaders can unlock the power of advanced analytics and reporting capabilities. Our API provides access to rich property data, enabling analysts and researchers to uncover insights, identify trends, and make data-driven recommendations with confidence. Whether it's analyzing market trends, evaluating investment opportunities, or conducting competitive analysis, BatchData empowers teams to derive actionable insights from vast property datasets.

Optimizing Data Infrastructure: BatchData Property Data Search API can play a pivotal role in optimizing data infrastructure within organizations. By seamlessly integrating our API with existing data platforms and pipelines, product and engineering teams can streamline data workflows, improve data accessibility, and enhance overall data infrastructure efficiency. Our API's integration capabilities and performance features ensure that organizations can leverage property data seamlessly across their data ecosystem, driving operational excellence and innovation.

Conclusion: BatchData Property Data Search API stands at the forefront of real estate data solutions, offering product and engineering leaders a comprehensive, scalable, and high-performance API for accessing property data. With state-of-the-art infrastructure, seamless integration capabilities, clear developer documentation, and exceptional performance features, BatchData empowers teams to build data-driven applications, optimize data infrastructure, and unlock actionable insights with ease. As the real estate industry continues to evolve, BatchData remains committed to delivering innovative sol...

The Property Group is a leading real estate organization that provides expert guidance throughout the home buying and selling process. With a strong presence in Little Rock, Arkansas, the company has established itself as a trusted partner for individuals and families seeking to buy, sell, or rent properties. The Property Group's expert agents are well-versed in local market trends, ensuring that clients receive tailored solutions to their unique needs.

Through their user-friendly website, The Property Group offers a range of resources and tools for homebuyers, including exclusive property listings, neighborhood information, and real-time market reports. Whether buying or selling a home, clients can rely on the company's dedicated professionals to navigate the complex process with ease. With a focus on transparency, efficiency, and personalized attention, The Property Group has earned a reputation as a top choice for those seeking a seamless and stress-free real estate experience.

The US property management industry, a significant segment of the broader real estate market, is experiencing steady growth, driven by several key factors. The increasing urbanization and population growth, particularly in major metropolitan areas, fuels the demand for rental properties and professional property management services. The rise of institutional investors in the multifamily sector further contributes to this demand, as these investors often outsource management to specialized firms. Technological advancements, such as property management software and online tenant portals, are streamlining operations and improving efficiency, leading to increased market penetration and attracting new players. Furthermore, the evolving preferences of renters, who increasingly value convenience and amenities, necessitate sophisticated property management solutions, fostering industry expansion. The commercial sector also contributes significantly, with businesses relying on professional managers for office buildings, retail spaces, and industrial properties. While the industry faces challenges, such as fluctuating interest rates impacting investment decisions and potential labor shortages within the property management sector, the long-term outlook remains positive. The diverse service offerings within the industry—from marketing and property evaluation to tenant services and maintenance—provide resilience against economic downturns. The fragmentation of the market presents opportunities for both established players and new entrants, with mergers and acquisitions potentially reshaping the competitive landscape in the coming years. The increasing focus on sustainable and environmentally friendly practices also presents a growth avenue, as property managers adapt their strategies to meet evolving tenant expectations and regulatory requirements. Considering the provided global market size of $81.52 billion (assuming “Million” is a typo and should be “Billion”) and a CAGR of 3.94%, a reasonable estimate for the US market share, given its prominence in the global real estate market, would place it in the range of $40-50 billion in 2025. This estimate is further supported by the presence of large US-based property management companies listed in the provided data. Recent developments include: February 2024: Wood Partners, the 4th-largest real estate developer in the United States, sold its property management business for its 38,000+ units in 17 states to Greystar (Charleston, South Carolina), the country's largest apartment management company., November 2023: RealPage Inc. acquired On-site Managers Inc. for approximately USD 250 million in cash. On-Site is an on-demand leasing platform for multifamily property management and renters that integrates leads from all sources and converts them to signed leases for the multifamily industry and the single-family housing industry. RealPage will continue to support the on-site platform and plans to integrate the best of its on-site platforms in the future. Clients on both platforms will continue to benefit from future improvements without disruption.. Key drivers for this market are: Increasing Demand from the Commercial Segment is Driving the Market, Increasing Disposable Income of Consumers is Driving the market. Potential restraints include: Increasing Demand from the Commercial Segment is Driving the Market, Increasing Disposable Income of Consumers is Driving the market. Notable trends are: Demand from the Residential Sector is Supporting the Market.

Dataset Overview

This dataset provides a detailed snapshot of real estate properties listed in Dubai, UAE, as of August 2024. The dataset includes over 5,000 listings scraped using the Apify API from Propertyfinder and various other real estate websites in the UAE. The data includes key details such as the number of bedrooms and bathrooms, price, location, size, and whether the listing is verified. All personal identifiers, such as agent names and contact details, have been ethically removed.

Data Science Applications

Given the size and structure of this dataset, it is ideal for the following data science applications:

• Price Prediction Models: Predicting the price of properties based on features like location, size, and furnishing status.
• Market Analysis: Understanding trends in the Dubai real estate market by analyzing price distributions, property types, and locations.
• Recommendation Systems: Developing systems to recommend properties based on user preferences (e.g., number of bedrooms, budget).
• Sentiment Analysis: Extracting and analyzing sentiments from the property descriptions to gauge the market's tone.

This dataset provides a practical foundation for both beginners and experts in data science, allowing for the exploration of real estate trends, development of predictive models, and implementation of machine learning algorithms.

# Column Descriptors

• title: The listing's title, summarizing the key selling points of the property.
• displayAddress: The public address of the property, including the community and city.
• bathrooms: The number of bathrooms available in the property.
• bedrooms: The number of bedrooms available in the property.
• addedOn: The timestamp indicating when the property was added to the listing platform.
• type: Specifies whether the property is residential, commercial, etc.
• price: The listed price of the property in AED.
• verified: A boolean value indicating whether the listing has been verified by the platform.
• priceDuration: Indicates if the property is listed for sale or rent.
• sizeMin: The minimum size of the property in square feet.
• furnishing: Describes whether the property is furnished, unfurnished, or partially furnished.
• description: A more detailed narrative about the property, including additional features and selling points.

# Ethically Mined Data

This dataset was ethically scraped using the Apify API, ensuring compliance with data privacy standards. All personal data such as agent names, phone numbers, and any other sensitive information have been omitted from this dataset to ensure privacy and ethical use. The data is intended solely for educational purposes and should not be used for commercial activities.

# Acknowledgements

This dataset was made possible thanks to the following:

• Apify: For providing the API to ethically scrape the data.
• Propertyfinder and various other real estate websites in the UAE for the original listings.
• Kaggle: For providing the platform to share and analyze this dataset.

-**Photo by** : Francesca Tosolini on Unsplash

Use the Data Responsibly

Please ensure that this dataset is used responsibly, with respect to privacy and data ethics. This data is provided for educational purposes.

Extract detailed property data points — address, URL, prices, floor space, overview, parking, agents, and more — from any real estate listings. The Rankings data contains the ranking of properties as they come in the SERPs of different property listing sites. Furthermore, with our real estate agents' data, you can directly get in touch with the real estate agents/brokers via email or phone numbers.

A. Usecase/Applications possible with the data:

1. Property pricing - accurate property data for real estate valuation. Gather information about properties and their valuations from Federal, State, or County level websites. Monitor the real estate market across the country and decide the best time to buy or sell based on data

2. Secure your real estate investment - Monitor foreclosures and auctions to identify investment opportunities. Identify areas within special economic and opportunity zones such as QOZs - cross-map that with commercial or residential listings to identify leads. Ensure the safety of your investments, property, and personnel by analyzing crime data prior to investing.

3. Identify hot, emerging markets - Gather data about rent, demographic, and population data to expand retail and e-commerce businesses. Helps you drive better investment decisions.

4. Profile a building’s retrofit history - a building permit is required before the start of any construction activity of a building, such as changing the building structure, remodeling, or installing new equipment. Moreover, many large cities provide public datasets of building permits in history. Use building permits to profile a city’s building retrofit history.

5. Study market changes - New construction data helps measure and evaluate the size, composition, and changes occurring within the housing and construction sectors.

6. Finding leads - Property records can reveal a wealth of information, such as how long an owner has currently lived in a home. US Census Bureau data and City-Data.com provide profiles of towns and city neighborhoods as well as demographic statistics. This data is available for free and can help agents increase their expertise in their communities and get a feel for the local market.

7. Searching for Targeted Leads - Focusing on small, niche areas of the real estate market can sometimes be the most efficient method of finding leads. For example, targeting high-end home sellers may take longer to develop a lead, but the payoff could be greater. Or, you may have a special interest or background in a certain type of home that would improve your chances of connecting with potential sellers. In these cases, focused data searches may help you find the best leads and develop relationships with future sellers.

How does it work?

• Analyze sample data
• Customize parameters to suit your needs
• Add to your projects
• Contact support for further customization

Nixon Peabody is a premier law firm dedicated to providing top-tier legal services to a diverse range of clients across various industries. With a strong presence in the market, their website offers a wealth of information on business and corporate law, litigation, labor and employment, intellectual property, and more.

As a leading law firm, Nixon Peabody's website offers valuable insights into their work and expertise, making it an excellent resource for those seeking to understand more about the legal services they provide. Key topics they cover on their website include mergers and acquisitions, financial services, health and life sciences, technology, and renewable energy. By visiting Nixon Peabody's website, you can gain a deeper understanding of their experience, capabilities, and thought leadership in the legal industry.

Blaze Property is a real estate company that offers a range of services, including property management, sales, and rentals. With a focus on Amarillo and surrounding areas, the company provides expert guidance for homes, apartments, offices, and commercial properties. Their experienced team is committed to delivering personalized service, ensuring that clients receive the best possible outcomes.

From property repairs to pest control, Blaze Property is there to support the entire property management process. They also offer REO sales and management, providing a one-stop solution for all real estate needs. With a strong presence online, the company provides easy access to property listings, allowing potential buyers and renters to browse and find the perfect fit. Through their website, customers can also connect with professionals for personalized advice and support.

In the second half of 2024, the most expensive deal for a data center site sale was the Loop 202 & Dobbins Rd, Laveen deal in Phoenix. IDM Companies sold the *** acres site to Amazon for *** billion U.S. dollars.

The US property management industry, a significant segment of the broader real estate market, is experiencing steady growth, projected to reach a substantial size over the next decade. Driven by factors such as increasing urbanization, a robust rental market, and the growing preference for rental housing among millennials and Gen Z, the sector shows considerable promise. The industry is segmented by end-user (commercial and residential) and service type (marketing, property evaluation, tenant services, maintenance, and other services). Commercial property management is a significant revenue driver, benefiting from the expansion of businesses and the need for efficient space management. Residential property management, however, is expected to see higher growth due to increasing demand for rental units across various price points. Technological advancements, particularly in property management software and online platforms, are streamlining operations and enhancing efficiency, improving tenant experiences, and attracting new investors. However, challenges remain, including fluctuating interest rates impacting investment decisions, potential economic downturns affecting occupancy rates, and the need for skilled professionals to manage increasingly complex portfolios. The competitive landscape is characterized by both large, publicly traded companies like CBRE Group and Jones Lang LaSalle, as well as smaller, regional players specializing in niche markets. This competitive dynamic fosters innovation and provides a wide range of services catering to diverse client needs. The forecast period of 2025-2033 suggests a continued positive trajectory for the US property management market. While external factors like inflation and recessionary pressures could influence growth rates, the underlying demand for professional property management services is expected to remain strong. The industry's adaptation to technological advancements and the ongoing evolution of property management practices are key factors contributing to its resilience and long-term sustainability. The concentration of major players in key metropolitan areas suggests future growth will likely be concentrated in these urban centers, with expansion into secondary and tertiary markets also presenting significant opportunities. Further segmentation analysis, particularly focusing on specific service types within both commercial and residential sectors, would allow for more precise projections and strategic investment decisions. Comprehensive Coverage US Property Management Industry Report (2019-2033) This in-depth report provides a comprehensive analysis of the US Property Management Industry, offering invaluable insights for investors, industry professionals, and strategic planners. The report covers the period from 2019 to 2033, with a base year of 2025 and a forecast period extending to 2033. We delve into market size, segmentation, trends, and key players, leveraging data from the historical period (2019-2024) to project future growth. Our analysis encompasses various segments, including commercial and residential property management, and services like marketing, property evaluation, tenant services, and maintenance. Discover the factors driving market expansion and the challenges impacting industry players. This report is your essential guide to navigating the dynamic US property management landscape. Recent developments include: February 2024: Wood Partners, the 4th-largest real estate developer in the United States, sold its property management business for its 38,000+ units in 17 states to Greystar (Charleston, South Carolina), the country's largest apartment management company., November 2023: RealPage Inc. acquired On-site Managers Inc. for approximately USD 250 million in cash. On-Site is an on-demand leasing platform for multifamily property management and renters that integrates leads from all sources and converts them to signed leases for the multifamily industry and the single-family housing industry. RealPage will continue to support the on-site platform and plans to integrate the best of its on-site platforms in the future. Clients on both platforms will continue to benefit from future improvements without disruption.. Key drivers for this market are: Increasing Demand from the Commercial Segment is Driving the Market, Increasing Disposable Income of Consumers is Driving the market. Potential restraints include: Economic Uncertainties are Restraining the Market. Notable trends are: Demand from the Residential Sector is Supporting the Market.

Analysis of ‘Sao Paulo Real Estate - Sale / Rent - April 2019’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/argonalyst/sao-paulo-real-estate-sale-rent-april-2019 on 13 February 2022.

--- Dataset description provided by original source is as follows ---

Context

This dataset contains around 13.000 apartments for sale and for rent in the city of São Paulo, Brazil. The data comes from multiple sources, specially real estate classified websites.

Content

The dataset represents properties advertised in the month of April 2019.

Inspiration

This is a smaller and anonymized version of a dataset we use on my startup https://openimob.com which predicts the price of properties and help people to find the best deals on the real estate market.

--- Original source retains full ownership of the source dataset ---

The Report Covers Mexico Residential Real Estate Housing Market Companies and is Segmented by Type (Apartments and Condominiums and Landed Houses and Villas). The Report Offers Market Size and Forecast in Value (USD) for all the Above Segments.

Our US Home Ownership Data is gathered and aggregated via surveys, digital services, and public data sources. We use powerful profiling algorithms to collect and ingest only fresh and reliable data points.

Our comprehensive data enrichment solution includes various data sets that can help you address gaps in your customer data, gain a deeper understanding of your customers, and power superior client experiences. 1. Geography - City, State, ZIP, County, CBSA, Census Tract, etc. 2. Demographics - Gender, Age Group, Marital Status, Language etc. 3. Financial - Income Range, Credit Rating Range, Credit Type, Net worth Range, etc 4. Persona - Consumer type, Communication preferences, Family type, etc 5. Interests - Content, Brands, Shopping, Hobbies, Lifestyle etc. 6. Household - Number of Children, Number of Adults, IP Address, etc. 7. Behaviours - Brand Affinity, App Usage, Web Browsing etc. 8. Firmographics - Industry, Company, Occupation, Revenue, etc 9. Retail Purchase - Store, Category, Brand, SKU, Quantity, Price etc. 10. Auto - Car Make, Model, Type, Year, etc. 11. Housing - Home type, Home value, Renter/Owner, Year Built etc.

Consumer Graph Schema & Reach: Our data reach represents the total number of counts available within various categories and comprises attributes such as country location, MAU, DAU & Monthly Location Pings:

Data Export Methodology: Since we collect data dynamically, we provide the most updated data and insights via a best-suited method on a suitable interval (daily/weekly/monthly).

Consumer Graph Use Cases: 360-Degree Customer View: Get a comprehensive image of customers by the means of internal and external data aggregation. Data Enrichment: Leverage Online to offline consumer profiles to build holistic audience segments to improve campaign targeting using user data enrichment Fraud Detection: Use multiple digital (web and mobile) identities to verify real users and detect anomalies or fraudulent activity. Advertising & Marketing: Understand audience demographics, interests, lifestyle, hobbies, and behaviors to build targeted marketing campaigns.

Graph and download economic data for Housing Inventory: Active Listing Count in the United States (ACTLISCOUUS) from Jul 2016 to Jun 2025 about active listing, listing, and USA.

The Real Estate Services industry has faced mixed conditions over recent years. Despite the recent improvement in housing supply and the piling up of inventory, prices remain elevated relative to pre-pandemic levels, offsetting revenue declines for real estate agents. A demand-supply imbalance led to historically high housing prices in 2021-22, though tighter loan-to-value ratio (LVR) regulations and heightened interest rates curbed real estate activity and weakened prices over the two years through 2023-24. The bright-line test extension in 2021 cooled speculative investment, diminishing property investors' interest. Residential property transactions plunged in 2022-23 as cost-of-living pressures and soaring borrowing expenses weighed on mortgage affordability. As inflation moderates and the official cash rate has come down since August 2024, sales volumes and demand will pick up. That's why revenue is forecast to climb 2.8% in 2024-25. However, a plunge in property transactions is why revenue is expected to have dipped at an annualised 0.4% over the five years through 2024-25 to $6.2 billion. The commercial market has faced shifting tenant preferences, particularly around remote work arrangements, contributing to elevated office vacancy rates. Nonetheless, booming demand for industrial space and interest in green buildings has yielded new opportunities. Concurrently, the widespread adoption of artificial intelligence has boosted operational efficiency for many real estate agencies, underpinning growth in their profit margins and alleviating some wage pressures. The Coalition government’s reinstatement of 80% interest deductibility for residential investment properties in April 2024, with a plan to reach 100% by April 2025, alongside the rollback of the bright-line test from 10 to 2 years, will spur investor activity and escalate property prices. These policy changes will entice property investors, expanding this market's revenue share over the coming years and benefiting real estate agencies. Consecutive cuts to the official cash rate to counter subdued economic activity will strengthen mortgage affordability and promote a resurgence in the residential property market. However, an expanding housing supply – aided by funding for social housing units and relaxed planning restrictions – will temper price escalation and slow agencies' commission growth over the coming years. Rising competition among real estate agencies and the continued adoption of digital tools, from big data analytics to advanced customer management solutions, will intensify market dynamics, creating opportunities and challenges for prospective and existing agents. Overall, revenue is forecast to climb at an annualised 2.2% over the five years through 2029-30 to $6.9 billion.

Our foreclosure data offering provides an extensive suite of real-time real estate data, available through both API integration and bulk data delivery. This rich dataset is designed to meet the needs of a variety of users, from real estate investors to foreclosure prevention services and market analysts. With over 31 data points available, this dataset covers multiple aspects of foreclosure processes, including auction details, loan information, foreclosure status, and trustee data. Below is a detailed description of the data points and their potential use cases.

Data Points Overview for Foreclosure Data:

1. Auction Data (9+ Data Points) Auction Location, Auction Time, Case Number, Bid Parameters

2. Loans/Lender Data (9+ Data Points) Lender Name, Original Loan Details, Unpaid Balances, Pre-Foreclosure Flags, Related Documents

3. Foreclosure Status Data (7+ Data Points) Recording Date, Release Date, Status Indicators and Codes

4. Trustee Data (6+ Data Points) Trustee Name, Trustee Address, Trustee Phone Number, Sale Number

Top Use Cases

1. Surface Investment Opportunities Websites and Applications: Integrate our foreclosure data into real estate platforms to provide users with up-to-date information on potential investment properties. This can enhance search functionality and deliver greater value by identifying promising foreclosure opportunities.

2. Foreclosure Prevention Services Sales and Marketing: Leverage foreclosure data to target homeowners in distress with tailored marketing efforts. By identifying properties in pre-foreclosure status, you can focus your outreach to offer services designed to prevent foreclosure, such as financial counseling or loan modification programs.

3. Market Analysis and Predictive Analytics Data-Driven Insights: Utilize the comprehensive dataset to perform in-depth market analysis and develop predictive models. This can help forecast foreclosure trends, assess market conditions, and make informed decisions based on historical and current foreclosure activity.

Access and Delivery

Our foreclosure data is accessible through two primary methods: - API Integration: Seamlessly integrate the data into your applications or platforms with our robust API, offering real-time access and automated updates. - Bulk Data Delivery: Obtain large datasets for offline analysis or integration into internal systems through bulk delivery options, providing flexibility in how you utilize the information.

This comprehensive data listing is designed to empower users with detailed and actionable foreclosure data, facilitating a range of applications from investment analysis to foreclosure prevention and market forecasting.

The sixth arrondissement of Paris was the area with the highest residential real estate price in the French capital as of May 2025. In this arrondissement, which includes several historical sites like Saint-Germain-des-Prés, the Académie Française, and the Jardin du Luxembourg, the average price per square meter amounted to over ****** euros. Paris is known for being one of the most expensive European cities to rent an apartment. The price difference in the twenty arrondissements of Paris The French capital is divided into twenty arrondissements, which correspond to administrative districts. Because of their geographical situations in regards with the economic centers of the city of Paris, as well as their environments and the living conditions they offer, arrondissements do not have the same average price per square meter. For example, the average square meter price for an apartment in cosmopolitan districts like the 19th and the 20th arrondissements, located in the northeastern part of the city, amounted to around ***** euros, compared to close to ****** euros in Le Marais (4th arrondissement). Paris was by far the most expensive city in France, regardless of the location of the accommodation. In 2023, the average price per square meter for rental flats reached ** euros in Paris and ** euros in Marseille, France’s second-largest city. The rise in rental prices in European cities It appears cities in Europe have seen their rental prices increasing over the past years. In Germany, for instance, if Berlin used to be described as “poor but sexy” (to quote Berlin’s former mayor Klaus Wowereit), it appears that the German capital is not unaffected by the rise in rents. From 2016 to 2022, the average rent price of residential property in Berlin went from *** euros per square meter to **** euros five years later.