With only an address, RentSource.ai will scour real estate listings from several internet listing sites and query the Google Places API to help enrich real estate data pipelines. It includes data on asking rent, property value, year built, unit availability, amenities, building features, and locational amenities near your subject property. The product features:
Rent & Availability Data - RentSource.ai pulls real-time rent & availability data from several different real estate internet listing sites the second you enter an address.
Accurate Property Data - We provide data on property type, year built, number of stories, beds/baths, square footage and amenity data for single-family homes and apartments.
Neighborhood Amenity Data - RentSource.ai uses the Google Places API to map locational amenities near a subject property for your offering memo or broker opinion of value.
Our aim is to make it as easy as possible for businesses to create epic documents that they can use internally, with their clients and share online. Our templates are not only professional & interactive, but are created as an individual web page that allows for easy shareability & data measuring.
No features have been listed yet.
Based on our record, Qwilr seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Can you tell me more about it? Is it any different from https://qwilr.com or pandadoc.com or is a direct competitor to those. Source: over 2 years ago
When we initially researched, we did them independently. For RFP software, we wanted something to help with tracking, analyzing, generating proposals, AI answer suggestion/knowledge base, assigning related tasks etc. Avnio & RFPIO made our shortlist. For Quote software, we wanted something shiny, to make closing faster and easier to understand. Qwilr and PandaDocs were rated pretty high. Source: about 3 years ago
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