Real Estate Data Scraping for Smarter Property Intelligence

Property websites provide access to reliable real-estate-dataset scraping that will allow users to obtain property prices, rents, list status, property types, amenities, square footage, agent’s contact information, location attributes (addresses), and market indicators for creating reliable real-estate-data-sets that can be used for analyzing, reporting & market intelligence purposes.

Yes! iWeb scraping has the ability to scrape localized and hyper-localized real-estate data by city/neighborhood/postal code/region so that you can analyze micro-market trends, make localized price comparisons, determine demand patterns, and develop & execute targeted investment/pricing strategies with much more accuracy within competing real-estate markets.

Yes, we do provide historical property listing data (past pricing, length of listing, date of availability change, and archived listings). Historical data allows businesses to identify trends over time, determine cycle patterns and to develop benchmark performance data for better prediction of future investments and plan across all areas of the real estate market.

Our automated scraping systems can keep track of when a property is listed and when a property has been delisted and any changes regarding its listing status. This means that your business has an ongoing source of information about new listing activity, the ability to quickly respond to changes in the marketplace, and access to accurate, complete, and current property information at the enterprise level (all types of real estate decisions).

Yes, customized scraped property data can be tailored for each property type (residential, commercial, industrial, rental, land). Each business defines specific property attributes and fields that correspond with their analysis, pricing, investment, and market intelligence requirements across all segments of the real estate market.

We utilize an A.I. powered crawler that is able to scrape JavaScript-heavy websites and dynamically updated websites, for example, infinite scroll, and websites that have regularly changing listings. Through our adaptive scraping technology, we are able to extract data from the dynamic content and keep the quality, consistency, and dependability of the scraped data, even as the platforms continue to evolve.

Yes, iWeb Scraping has several different ways to deliver and receive real estate data through Secure APIs. The Secure API streamlines, automates, real-time updates, and integrates seamlessly with internal applications, dashboards, and analytics without manual input or process.

Scraped real estate data is delivered in a variety of formats such as CSV, JSON, Excel, and XML, and as an API Feed, or through Cloud Storage. These different formats allow a lot of businesses to easily integrate the scraped data into different systems, processes, and analytics.

The format of our cleansed structured dataset enables it to be easily incorporated into your analytics and BI applications. The web scraped information can seamlessly blend into report dashboards, analysis dashboards and predictive models which help promote data-driven decision-making and business planning.

Yes, the architecture of our enterprise-grade solutions enables you to capture and process millions of records quickly while also providing the level of performance, accuracy and dependability that enable you to continue to acquire massive amounts of property data for the investigation of real estate markets.

Yes, scraping of property datasets is allowed by the laws of the U.S. and around the world when it is conducted in an ethical manner and is compliant with applicable laws and regulations. iWeb Scraping collects only data that it has legal access to from publicly available sources and conforms to all applicable laws, regulations and website access policies when performing compliant data extraction and enabling the legitimate use cases for real estate market intelligence and analysis business purposes.

Enterprise-grade security measures are employed at iWeb Scraping to protect our clients’ information through the use of secure transfer protocols, storage solutions, access control policies and periodic audits to ensure client data is kept protected from unauthorized access. All of the iWeb Scraping practices protect the confidentiality, integrity, and availability of client data by providing a secure means of collecting, storing and delivering data throughout the entire life cycle.

Yes. iWeb Data Scraping complies with all applicable GDPR and relevant data protection regulations. We do not collect personal or sensitive user data, and we process, maintain, and use publicly accessible real estate information in compliance with all applicable laws, regulations, and appropriate policies for secure, lawful processing and reasonable use of real estate data.

No, we will not share your scraped real estate information with anyone outside of our services. The contractual agreements that govern the data we have collected from our clients to date require that they have exclusive access to this data, which is confidential and may only be used by them under the given strict guidelines that are outlined in our contracts.

Your sensitive location and pricing data is treated with both very high security protocols, a restricted number of people who are allowed to have access to it, and a dedicated data storage protocol. We ensure that both the integrity and the confidentiality of your data is maintained through the delivery of an organized data set that can be used for analysis purposes without exposing your sensitive market information to abuse or disclosing it.