Datazivot

BACKGROUND

Please describe your company and position.

I am the Site Engineer of HomesteadHarbor Realty

Describe what your company does in a single sentence.

We recently partnered with DataZivot for web scraping real estate reviews data, and the experience has been exceptional. Their service stands out in several ways:

Accuracy: The scraped data was highly accurate, capturing detailed reviews from multiple platforms, helping us gain valuable insights into customer sentiments.Customizability: DataZivot allowed us to tailor the scraping parameters to suit our needs, which was crucial for filtering reviews based on location, property type, and review ratings.Timeliness: The data was delivered promptly, and their automated processes ensured that the information was regularly updated, keeping us in the loop with real-time market trends.Support: The team was highly responsive, addressing any concerns or adjustments we needed. Their technical support helped us optimize the data extraction process for better results.
Compliance: DataZivot assured us of legal compliance in terms of data scraping, which is critical in the real estate sector, as we deal with sensitive customer information.

Overall, DataZivot has proven to be a reliable partner in our quest to leverage web-scraped data for enhancing our real estate business operations. We highly recommend their services for anyone looking to gain a competitive edge through comprehensive and accurate review data.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Datazivot to accomplish?

• Review Data For My Real Estate Business

SOLUTION

How did you find Datazivot?

Online Search

Why did you select Datazivot over others?

• High ratings
• Pricing fit our budget
• Good value for cost
• Company values aligned

How many teammates from Datazivot were assigned to this project?

2-5 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

The primary goal of the project was to gather comprehensive real estate reviews data from various online platforms to analyze customer sentiments and improve decision-making for our real estate business.
Scraped Data Sets: Comprehensive sets of real estate reviews data, segmented by platform and customized to our specified criteria.
Data Trends and Sentiment Reports: Summary reports detailing trends in customer reviews and overall sentiment, including graphical visualizations.
Real-Time Data Feeds: Automated scraping solutions that continuously updated the data, ensuring that our review analysis stayed relevant and timely.
Ongoing Support: Regular check-ins from DataZivot’s team to fine-tune the scraping parameters and assist with any issues or additional requests we had.

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

DataZivot’s web scraping services exceeded our expectations, delivering measurable results that enhanced our decision-making, improved customer insights, and streamlined our market analysis. These outcomes demonstrate the effectiveness of their solution and the impact it had on our real estate business.

Describe their project management. Did they deliver items on time? How did they respond to your needs?

DataZivot demonstrated strong project management skills throughout our engagement. Their approach to managing the web scraping project for real estate reviews data was organized, timely, and responsive to our evolving needs.
Overall, DataZivot excelled in managing the project efficiently, delivering all items on time, and maintaining excellent communication throughout the process. Their responsiveness and willingness to adapt to our needs made them a reliable partner in our real estate business.

What was your primary form of communication with Datazivot?

Email or Messaging App

What did you find most impressive or unique about this company?

One of the most impressive aspects of working with DataZivot was their customizability and deep understanding of the real estate sector. Unlike generic web scraping services, DataZivot tailored their approach specifically to meet the unique demands of real estate data, which requires a keen understanding of property-specific details, review platforms, and market dynamics.

Are there any areas for improvement or something Datazivot could have done differently?

While DataZivot provided top-notch service, there are a few areas they could enhance—such as improving setup speed, offering more detailed documentation, and increasing transparency around costs. Additionally, a client-facing dashboard could further improve the user experience. Addressing these points would elevate their already impressive offering.