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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.

Unlock the Potential of U.S. National MLS Real Estate Data

Discover the wealth of information encapsulated in licensing bulk MLS (Multiple Listing Service) data, a cornerstone of the real estate realm. From property particulars to market trends, delve into the significance and multifaceted utility of MLS data across diverse industries.

MLS Real Estate Data includes:

• Property Information: Address, size, layout, condition, amenities, and more.
• Price History: Historical price changes, listing dates, and sales dates.
• Geographic Insights: Location, neighborhood information, school districts, and proximity to amenities.
• Property Photos: MLS images of properties (see the condition of a property inside and out.)
• Agent/Broker Information: Certain details about the listing agent or broker as well as their notes on properties.
• Market Dynamics: Data on local real estate market conditions, including inventory levels, price trends, and days on the market.

United States - Producer Price Index by Industry: Offices of Real Estate Agents and Brokers: Real Estate Brokerage, Residential Property Sales and Leases was 280.62100 Index Dec 1995=100 in May of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Industry: Offices of Real Estate Agents and Brokers: Real Estate Brokerage, Residential Property Sales and Leases reached a record high of 280.62100 in May of 2025 and a record low of 99.80000 in January of 1996. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Industry: Offices of Real Estate Agents and Brokers: Real Estate Brokerage, Residential Property Sales and Leases - last updated from the United States Federal Reserve on July of 2025.

United States - Producer Price Index by Industry: Offices of Real Estate Agents and Brokers: Real Estate Brokerage, Nonresidential Property Leases Including Land Leases was 131.89500 Index Dec 2009=100 in May of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Industry: Offices of Real Estate Agents and Brokers: Real Estate Brokerage, Nonresidential Property Leases Including Land Leases reached a record high of 131.91700 in February of 2025 and a record low of 98.00000 in July of 2011. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Industry: Offices of Real Estate Agents and Brokers: Real Estate Brokerage, Nonresidential Property Leases Including Land Leases - last updated from the United States Federal Reserve on July of 2025.

Abstract

A multiple listing service (MLS) is an exchange where real estate brokers share information about properties they are selling. Other real estate brokers review the listings, and are compensated if they can identify a buyer for a property. Multiple listing services promote cooperation and mutual benefit for real estate brokers representing buyers and sellers. The CoreLogic Multiple Listing Service data contains listings from 135 real estate boards utilizing CoreLogic’s multiple listing service software. The data was produced in August 2024.

Methodology

The data consists of listings from 135 real estate boards that use CoreLogic listing software. The data DOES NOT cover listings from all real estate boards in the United States. The National Association of Realtors maintains the most complete and up-to-date list of real estate boards; however, this information is only available to members of the National Association of Realtors.

For more information about how the data was prepared for Redivis, please see CoreLogic 2024 GitLab.

Usage

Quick Search (QS) contains the most recent listing data (as of August 2024). In order to see the entire listing history of a property/record, you will need to search the Quick History (QH) table on the SysPropertyID, which is a unique key for a listing across multiple listing boards. You can use the variable FA_PostDate to see when updates occurred. Updates include name changes, price changes, etc.

During upload to Data Farm, a small number of invalid records were dropped from the Quick History (QH) table. For more information, see CoreLogic 2024 GitLab. To access the complete data (including invalid records), please see Bulk Data Access instructions, below.

Bulk Data Access

Data access is required to view this section.

United States Property & Casualty Insurance: Premium Pricing: Rate Changes in Other Lines: Broker Errors & Omissions data was reported at 2.000 % in Dec 2024. This records an increase from the previous number of 1.600 % for Sep 2024. United States Property & Casualty Insurance: Premium Pricing: Rate Changes in Other Lines: Broker Errors & Omissions data is updated quarterly, averaging 2.200 % from Sep 2017 (Median) to Dec 2024, with 30 observations. The data reached an all-time high of 4.400 % in Sep 2020 and a record low of 0.040 % in Sep 2017. United States Property & Casualty Insurance: Premium Pricing: Rate Changes in Other Lines: Broker Errors & Omissions data remains active status in CEIC and is reported by The Council of Insurance Agents & Brokers. The data is categorized under Global Database’s United States – Table US.RG015: Property & Casualty Insurance: Premium Pricing: Quarter on Quarter Rate Changes.

BatchData's property listings data provides comprehensive insights with over 140 data points and nationwide listing data inclusive of For Sale By Owner (FSBO) listings across the United States. Updated daily in most markets, the data includes:

• Listing Details: property listings descriptions, property characteristics, pricing, days on market, and more.
• Agent Information: agent names, license numbers, contact details, listing counts, and listing histories.
• Broker Information: Broker names, locations, URLs, emails, phone numbers, and licensing information.
• Additional Details: Information about schools, neighborhoods, subdivisions, and tax data.

Common Use Cases: - Recruiting Teams: Enhance talent acquisition by analyzing agents' listing counts, close rates, property types, and client profiles. - Proptech Software & Marketplaces: Integrate current and historical listings to create detailed property profiles, advanced search features, and robust analytics. - Home Service Providers: Target marketing and outreach efforts to homeowners, whether they are preparing to move or have recently relocated. - Real Estate Agents & Investors: Identify undervalued properties, connect with buyers/sellers based on activity, analyze market trends, and develop effective marketing strategies.

Our property listings data can be delivered in a variety of formats to suit your needs. Choose from API integration for seamless, real-time data access, bulk data delivery for extensive datasets, S3 bucket storage for scalable cloud solutions, and more. This flexibility ensures that you can incorporate our comprehensive property information into your systems efficiently and effectively, whether you're building a new platform, enhancing existing tools, or conducting in-depth analyses.

Graph and download economic data for Security Brokers and Dealers; Taxes Payable, Tax on Foreign Earnings Retained Abroad; Liability, Transactions (BOGZ1FU663178013Q) from Q4 1946 to Q2 2022 about abroad, retained earnings, brokers, dealers, foreign, transactions, liabilities, earnings, securities, and USA.

Chile FS: Brokers: Assets: Property, Plant & Equipment data was reported at 37,247,514.000 CLP th in Dec 2024. This records a decrease from the previous number of 37,933,637.000 CLP th for Sep 2024. Chile FS: Brokers: Assets: Property, Plant & Equipment data is updated quarterly, averaging 17,499,152.000 CLP th from Dec 2010 (Median) to Dec 2024, with 57 observations. The data reached an all-time high of 41,724,834.000 CLP th in Dec 2019 and a record low of 9,995,423.000 CLP th in Jun 2012. Chile FS: Brokers: Assets: Property, Plant & Equipment data remains active status in CEIC and is reported by Financial Market Commission. The data is categorized under Global Database’s Chile – Table CL.Z013: Financial & Income Statement: IFRS: Brokers.

Eximpedia Export import trade data lets you search trade data and active Exporters, Importers, Buyers, Suppliers, manufacturers exporters from over 209 countries

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The real estate marketing services market is experiencing robust growth, driven by increasing adoption of digital marketing strategies and a competitive landscape demanding innovative approaches to reach potential buyers and sellers. The market, estimated at $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This significant growth is fueled by several key factors. Firstly, the rising popularity of online property portals and social media platforms necessitates sophisticated digital marketing strategies. Secondly, the increasing use of data analytics and targeted advertising allows real estate professionals to reach specific demographics with tailored campaigns. Finally, the ongoing demand for reputation management services highlights the importance of building and maintaining a strong online presence. Segmentation analysis reveals that Media Advertising, Search Engine Optimization (SEO), and Reputation Management constitute major service types within the market. Application-wise, Realtors, Brokers, and Developers represent significant consumer segments. The competitive landscape comprises both established marketing agencies specializing in real estate and smaller, niche providers leveraging their individual expertise. This dynamic environment encourages continuous innovation in marketing tactics and fuels market expansion. This growth is not uniform across all segments. While SEO and reputation management maintain steady high demand, the media advertising segment shows a trend towards specialized, targeted campaigns rather than blanket advertising. The geographical distribution of the market reflects global trends in real estate activity, with North America and Europe currently dominating the market share, driven by robust economies and advanced digital infrastructure. However, Asia-Pacific and other emerging markets are expected to witness significant growth in the coming years due to expanding middle classes and increasing real estate investments. The market's evolution necessitates real estate professionals to adapt to changing consumer behaviour and adopt innovative strategies, fostering a constant pursuit of improved marketing techniques and technologies. This dynamic interplay between technological advancements, evolving consumer preferences, and competitive pressures will shape the future trajectory of the real estate marketing services market.

Certificates of Disclosure (COD) issued by the City of Cleveland Department of Building and Housing since 2015. A COD is required when transferring properties with structures in the City. Update Frequency Weekly on Sundays at 7 AM EST (6 AM during daylight savings) ContactsDepartment of Building and Housing Records Room 216-664-2930 Data Glossary B1_ALT_ID: Record ID File Date: Date record created Parcel: Permanent parcel number of property to be transferred Address : Address of property to be transferred Ward: Ward in which property is located as of issue date Owner Name: Individual or entity transferring property Title Agency Name: Title agent for property transfer Title Agency Business Name: Title agency for property transfer Buyer Name: Individual buying the property Buyer Business Name: Business entity buying the property Mortgage Broker Name: Mortgage broker associated with transaction Mortgage Broker Business Name: Mortgage broker business associated with transaction Mortgage Company Name: Mortgage officer associated with transaction Mortgage Company Business Name: Mortgage company associated with transaction Issued by: Accela user who issued the CODIssue Date: Date COD was issued Condemned Status: Is structure currently condemned? Yes or No. This is user-entered reviewing staff.Was Ever Condemned: Has structure ever been condemned? Yes or No. This is user-entered reviewing staff.Current Violations: Are there currently Building and Housing violations associated with parcel? Yes or No. This is user-entered reviewing staff.Current BH Lead Violations: Is there currently a Building and Housing lead violation associated with parcel? Yes or No. This is user-entered reviewing staff.Current CDPH Lead Violations: Is there currently a Cleveland Department of Public Health lead violation associated with parcel? Yes or No . This is user-entered reviewing staff.The below fields are not from the system of record for permits, Accela. They are extra fields produced by the City's Data Warehouse to make it more useful for staff and the public.DW_Parcel: Current Cuyahoga County parcel that matches this addressDW_Ward: Ward location of that parcelDW_Tract2020: Census tract ID of that parcelDW_Neighborhood: City neighborhood of that parcelACCELA_CITIZEN_ACCESS_URL: Link to view the record on Accela Citizen Access

Chile IS: Brokers: Income Before Tax data was reported at 144,820,114.000 CLP th in Dec 2024. This records an increase from the previous number of 127,144,953.000 CLP th for Sep 2024. Chile IS: Brokers: Income Before Tax data is updated quarterly, averaging 66,622,338.000 CLP th from Dec 2010 (Median) to Dec 2024, with 57 observations. The data reached an all-time high of 200,942,478.000 CLP th in Dec 2022 and a record low of 5,422,720.000 CLP th in Mar 2020. Chile IS: Brokers: Income Before Tax data remains active status in CEIC and is reported by Financial Market Commission. The data is categorized under Global Database’s Chile – Table CL.Z013: Financial & Income Statement: IFRS: Brokers.

Real Estate CMA Software Market size was valued at USD 5.1 Billion in 2024 and is projected to reach USD 8.62 Billion by 2031, growing at a CAGR of 7.1% during the forecasted period 2024 to 2031

Global Real Estate CMA Software Market Drivers

Growing Need for Data-driven Decision-Making: Real estate agents are depending more and more on analytics and data to help them make wise choices. With the use of CMA software, which offers thorough data analysis and insights into comparable sales, market trends, and property values, agents and brokers can more successfully negotiate transactions, set listing prices, and evaluate properties with accuracy.

Requirement for a Competitive Advantage: In the current competitive real estate market, brokerages and agents look for solutions that set them apart from rivals and improve the value they offer to clients. Agents can dazzle customers and acquire more listings by using the sophisticated features of CMA software to create professional-looking comparative market assessments, customisable presentations, and interactive reports.

Growing Significance of Engaging Clients: Gaining trust, cultivating relationships, and closing deals in the real estate sector depend on offering clients individualized and engaging experiences. Through visually appealing presentations, interactive maps, and dynamic charts that provide market data and property information in an engaging and understandable manner, agents may effectively engage clients with the help of CMA software.

Simplifying the Listing Presentation Process: Real estate marketing and client acquisition heavily depend on the preparation and delivery of listing presentations. With the help of CMA software, agents can rapidly create professional-looking reports, add branding elements, and show prospective sellers the features, amenities, and market comparisons of their properties. The process of making bespoke listing presentations is also made more efficient and automated.

Integration with Various Data Sources: To obtain thorough and current market data, CMA software integrates with a variety of data sources, such as MLS (Multiple Listing Service) databases, property tax records, public documents, and third-party data providers. The accuracy and reliability of CMAs are increased by this integration, which gives agents access to reliable property information, historical sales data, area demographics, and market statistics.

Efficiency and Time Savings: CMA software saves agents time and effort while creating market studies by automating repetitive operations including data collecting, analysis, and report preparation. CMA software increases efficiency by optimizing workflow procedures and decreasing manual data input, freeing up agents to concentrate more on interacting with clients, generating leads, and completing sales.

Use of sophisticated Technologies: The real estate sector is changing as a result of the use of sophisticated technologies including machine learning (ML), artificial intelligence (AI), and predictive analytics. CMA software helps agents predict market trends, pricing swings, and changes in property worth by using AI and ML algorithms to scan massive information, spot patterns, and produce predictive insights.

Remote Work and Virtual Collaboration: The COVID-19 epidemic has hastened the trend toward remote work and virtual collaboration, which has raised demand for digital solutions that facilitate communication and cooperation from a distance. Agents can make virtual listing presentations, electronically communicate information with clients, and work in real-time team collaborations regardless of their physical locations thanks to CMA software.

Accuracy and Regulatory Compliance: Real estate transactions must adhere to a number of rules and regulations, such as ethical norms, disclosure legislation, and fair housing laws. By offering precise and impartial market evaluations and assisting agents in avoiding the possible legal ramifications of overpricing or underpricing properties, CMA software helps them maintain compliance.

Globalization and Market Expansion: The need for CMA software with international capabilities is driven by the growth of real estate brokerages into new geographic areas and the globalization of real estate markets. Agents can serve clients in a variety of global marketplaces thanks to multilingual support, currency conversion, and localization tools, which facilitate cross-border transactions and global expansion strategies.

United States - Producer Price Index by Commodity: Real Estate Services (Partial): Residential Property Sales and Rental, Brokerage Fees and Commissions was 210.90700 Index Dec 2008=100 in May of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Commodity: Real Estate Services (Partial): Residential Property Sales and Rental, Brokerage Fees and Commissions reached a record high of 210.90700 in May of 2025 and a record low of 93.60000 in January of 2012. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Commodity: Real Estate Services (Partial): Residential Property Sales and Rental, Brokerage Fees and Commissions - last updated from the United States Federal Reserve on July of 2025.

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United States - Total Revenue for Offices of Real Estate Agents and Brokers, Establishments Subject to Federal Income Tax was -14.70000 % Chg. in January of 2025, according to the United States Federal Reserve. Historically, United States - Total Revenue for Offices of Real Estate Agents and Brokers, Establishments Subject to Federal Income Tax reached a record high of 47.80000 in July of 2020 and a record low of -23.30000 in January of 2021. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Total Revenue for Offices of Real Estate Agents and Brokers, Establishments Subject to Federal Income Tax - last updated from the United States Federal Reserve on July of 2025.

India Service Tax Revenue: Stock Broker data was reported at 13.410 INR bn in 2017. This records an increase from the previous number of 11.835 INR bn for 2016. India Service Tax Revenue: Stock Broker data is updated yearly, averaging 4.500 INR bn from Mar 1995 (Median) to 2017, with 23 observations. The data reached an all-time high of 15.552 INR bn in 2008 and a record low of 0.354 INR bn in 1995. India Service Tax Revenue: Stock Broker data remains active status in CEIC and is reported by Central Board of Indirect Taxes and Customs. The data is categorized under Global Database’s India – Table IN.FA013: General Government Service Tax Revenue.

Real Estate Agency and Brokerage Service Market Outlook

The global Real Estate Agency and Brokerage Service market size was estimated to be approximately USD 1.2 trillion in 2023, with an anticipated growth to USD 2.1 trillion by 2032, reflecting a Compound Annual Growth Rate (CAGR) of 6.2%. The primary growth factor driving this market is the increasing urbanization and infrastructural development worldwide, paired with the rising demand for residential and commercial properties. This growth is supported by technological advancements and the digital transformation of real estate services, as well as the increasing disposable income among middle-class populations in emerging economies.

One of the most significant growth factors for the Real Estate Agency and Brokerage Service market is the technological advancements in property management and brokerage services. The integration of Artificial Intelligence (AI), Big Data, and Blockchain technology has revolutionized how real estate transactions are conducted. AI and machine learning algorithms are being used to predict market trends, automate processes, and provide personalized property recommendations. Blockchain technology, on the other hand, ensures transparency and security in transactions, reducing the risk of fraud. These technological advancements have not only enhanced the efficiency of real estate services but have also attracted tech-savvy customers, thereby driving market growth.

Another key growth factor is the increasing urbanization and infrastructural development across the globe. As more people migrate to urban areas in search of better job opportunities and living standards, the demand for residential and commercial properties is on the rise. Governments in various countries are also investing heavily in infrastructure projects, such as the construction of smart cities and transportation networks, which further boosts the real estate market. This trend is particularly evident in emerging economies where rapid urbanization is accompanied by economic growth, leading to a surge in real estate investments.

Additionally, the rising disposable income and improving living standards among middle-class populations in emerging markets have significantly contributed to the growth of the Real Estate Agency and Brokerage Service market. With more disposable income at their disposal, individuals and families are increasingly investing in real estate, either for residential purposes or as a form of financial security. This trend is particularly strong in countries like India, China, and Brazil, where economic growth has created a burgeoning middle class with a growing appetite for property ownership. The increasing number of high-net-worth individuals (HNWIs) in these regions also presents lucrative opportunities for real estate brokers and agencies.

Broker Affiliate Programs have emerged as a strategic avenue for real estate agencies and brokers looking to expand their reach and enhance their service offerings. These programs allow brokers to partner with other businesses or individuals, creating a network of affiliates who promote their services in exchange for a commission. This model not only helps in increasing the visibility of brokerage services but also taps into new customer bases that might have been inaccessible otherwise. By leveraging these partnerships, brokers can offer a wider range of services and properties, catering to diverse client needs. Additionally, broker affiliate programs provide an opportunity for real estate professionals to collaborate with tech companies, financial institutions, and other sectors, fostering innovation and enhancing the overall customer experience.

From a regional perspective, North America dominates the Real Estate Agency and Brokerage Service market, followed by Europe and the Asia Pacific. North America's dominance can be attributed to the well-established real estate market, high disposable income, and advanced technological adoption in the region. Europe also holds a significant share due to the presence of a mature real estate market and favorable government policies. Meanwhile, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, driven by rapid urbanization, economic growth, and increasing foreign investments in countries like China and India.

Service Type Analysis

The Real Estate Agency and Brokerage Service market is segmented by service type into residential brokerage, commerci