Real Estate Lead Generation for the US Market

Real Estate Lead Generation

Our client requested a lead generation web application. The requested platform provides the possibility to search through the US real estate market and send emails to the house owners. With over 150 million properties, the client needed a precise solution development plan and a unique web scraping tool.

156

mln

real estate objects

sec

search run

About the client

Stantem enables lead generation automation in the US real estate market.

Tech stack

Python

Django

ReactJS

Redis

AWS

The client's needs

Our initial client approached us seeking data scraping and web development services. They aimed to parse over 150 million real estate listings from the project's inception at the beginning, while Dataforest carefully considered and planned the future expansion of the system from the start.

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As we progressed with the data scraping solution, our client introduced their vision for a web application to leverage the database. Dataforest took up the challenge and successfully executed the development of this web application, aligning it with the client's requirements.

Challenges & solutions

Challenge

Clients like realtors would like to be able to know the property value, but this information is usually closed.

Solution

Each real estate in the lead base has a property value range. It’s based on information like the sold prices of similar real estate and other collected data.

Challenge

Implementing a fast and efficient Map View mode to enable convenient and swift viewing of a vast dataset of 150 million objects.

Solution

The filtering system filters based on map bounds, displaying only the essential data on the screen.
To optimize performance, we introduced a brief request delay, preventing unnecessary requests when scaling the map.
We streamlined the information generation process, eliminating the need for a serializer.

Challenge

Fast and easy search through the high-volume database (150 million records).

Solution

The ElasticSearch database was selected as the most effective solution

Challenge

Implementing subscription management, payment processing, multiple tariff plans, and discount functionalities.

Solution

We seamlessly integrated the Stripe payment system, to efficiently handle subscription management, payment acceptance, diverse tariff plans, and discount processing.

Challenge

Scraping substantial volumes of real estate data, including addresses, number of rooms, and state information, from various sources and incorporating it into a single database.

Solution

Dataforest devised a solution that comprised detailed documentation and a versatile framework. The framework streamlined the process of data scraping and validation from various websites with minimal adjustments, ensuring accurate data integration.

Challenge

Solution

Challenge

Solution

Challenge

Solution

Luxury Retailer AI Demand Forecasting Implementation

Results

The web application features user authentication, registration and Stripe integration.

Users can use a fast search function for over 156 million objects both in lists and maps search format, including building photos via GoogleMaps integration.
Dataforest implemented email campaign functionality with the Tiny text editor, simplifying email composition and formatting.

Another functionality covers the dedicated page with advanced algorithms for object comparison and analysis, enhancing data processing capabilities.

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Stantem enables lead generation automation in the US real estate market.

Steps of providing data scraping services

Step 1 of 5

Free consultation

It's a good time to get info about each other, share values and discuss your project in detail. We will advise you on a solution and try to help to understand if we are a perfect match for you.

Step 2 of 5

Discovering and feasibility analysis

One of our core values is flexibility, hence we work with either one page high level requirements or with a full pack of tech docs. At this stage, we need to ensure that we understand the full scope of the project. Receive from you or perform a set of interviews and prepare the following documents: list of features with detailed description and acceptance criteria; list of fields that need to be scraped, solution architecture. Ultimately we make a project plan which we strictly follow. We are a result-oriented company, and that is one of our core values as well.

Step 3 of 5

Solution development

At this stage, we develop the scraping engine core logic. We run multiple tests to ensure that the solution is working properly. We map the fields and run the scraping. While scraping, we keep the full raw data so the final model can be enlarged easily. Ultimately we store data in any database and run quality assurance tests.

Step 4 of 5

Data delivery

After quality assurance tests are completed, we deliver data and solutions to the client. Though we have over 15 years of expertise in data engineering, we expect client’s participation in the project. While developing and crawling data, we provide midterm results so you can always see where we are and provide us with feedback. By the way, a high-level of communication is also our core value.

Step 5 of 5

Support and continuous improvement

We understand how crucial the solutions that we code for our clients are! Our goal is to build long-term relations, so we provide guarantees and support agreements. What is more, we are always happy to assist with further developments and statistics show that for us, 97% of our clients return to us with new projects.

Success stories

Check out a few case studies that show why DATAFOREST will meet your business needs.

All Success Stories

Data parsing

We helped a law consulting company create a unique instrument to collect and store data from millions of pages from 5 different court sites. The scraped information included PDF, Word, JPG, and other files. The scripts were automated, so the collected files were updated when information changed.

14.8 mln

pages processed daily

43 sec

updates checking

Sebastian Torrealba

CEO, Co-Founder DeepIA, Software for the Digital Transformation

View case study

These guys are fully dedicated to their client's success and go the extra mile to ensure things are done right.

Mailing Platform

We created a mailing platform that helps a multi-faceted union to send information about events, opportunities, and grants to all its member companies. The platform stores information about all member companies and makes it easy to send messages to the right people at the right time. This helps member companies to stay informed and improves the union's ability to support the country's businesses.

15%

CX boost

20%

cost optimization

Gonzalo Ramos

Partner Trade Union

View case study

DATAFOREST is reliable in delivering quality solutions. Besides, they demonstrate effective project management and communication despite working remotely.

Data-driven marketing

We created a solution that helped optimize the customer base to get the most out of the customer data. This solution notifies the client about the services/goods, which they would likely buy, according to the gathered information.

20%

sales growth

200%

traffic boost

Jeremy Groves

CEO ThinkDigital, Digital and Marketing Agency

View case study

They developed solutions that brought value to our business.

AI Forecasting That Saved $142M for Global Retailer

Considering each outlet's specifics, we built the AI demand forecasting solution and optimized the volume of goods in the warehouse and the range of goods in different locations. We set up a system that has processed over 8 TB of sales data. These have helped the retail business increase revenue, improve logistics planning, and achieve other business goals.

88%

forecasting accuracy

0.9%