Identifying the sources of property data was the first step. In close collaboration with the client, AskDataEntry identified the online real estate websites, property management firms, and real estate agents as the most pertinent sources for the data. In addition, the team looked for specific data sources that could give the client a competitive edge.
Data Collection Templates Creation
After locating the sources, AskDataEntry developed unique data collection templates to collect the pertinent property data from each source. All pertinent details about each property, such as its location, cost, size, amenities, and other specifics, were intended to be included in the templates.
Data Collection Process
After that, AskDataEntry started collecting data using tailored templates from various sources. For the purpose of ensuring the accuracy and comprehensiveness of the data, the team combined automated tools with manual data collection techniques.
After gathering the data, AskDataEntry verified it to make sure it complied with the client’s quality requirements. In order to confirm the accuracy of the data, the team used a combination of automated and manual techniques, including cross-referencing data from various sources and carrying out quality control checks.
AskDataEntry combined the data after it had been verified into a single database that the client could use to fill its rental listing aggregator. The team arranged the information so that it was simple for the client to search and filter the listings based on particular criteria, such as location, price range, and amenities.
In order to maintain the client’s rental listing aggregator’s accuracy with regard to the most recent real estate listings, AskDataEntry also offered ongoing data collection services. As new listings became available, the team regularly updated the database by monitoring the sources of data.