# data[].attributes.body
Outside - fountains, large yards, nice big trees, pool, mowed lawn with flowers,

# data[].attributes.body
Nice furniture, expensive decor, new appliances, or neighborhood.

# data[].attributes.body
the size of the house and garage or number of rooms and size of yard

# data[].attributes.body
Cars, Attitude, decor, location

# data[].attributes.body
How big the house, how new the cars are

# data[].attributes.body
By looking at furniture and appliances in the home. Cars and landscape condition. Nice clean cut looking houses. Dull simple colors painted in the house.

# data[].attributes.body
The quality of furniture and particular items they choose to decorate their house with. The types of vases, artwork, and expensive pieces they pick to look at each day.

# data[].attributes.body
Their homes, vehicles, occupation, vacations they go on, expensive pets, etc

# data[].attributes.body
The types of books they have and log into their bank account on their computer

# data[].attributes.body
Hardwood flooring, paintings and books, how big it is, size of the TV, cars in the garage, how clean it is, if you take your shoes off before walking in,

# data[].attributes.body
Id look to see how nicely placed items are around the house. I’d look where the shoes are and what kind of objects are placed down. I would look to see how the house is laid out and how spacious it is. I would check to see if they have an alarm or any cameras. I would also look to see how the walls r painted and how modern the house overall looks

# data[].attributes.body
Looks of the house and Expensive cars and if they have nice fishing poles

# data[].attributes.body
Room size, artwork, garage?, expensive handbags, multiple stories?, maintained bushes/ shrubs, groomed lawn, technology, clean,

# data[].attributes.body
Cars in driveway, room furniture, flooring, counters

# data[].attributes.body
Money laying around, expensive items

# data[].attributes.body
Electronics, jewelry, cleanliness/organization/decorations, how many rooms, furniture, how big of a house, clothes/shoes

# data[].attributes.body
People themselves, animals or animal accessories, furniture, location  of the house, electronics, accessories for children, freezer, receipts