Mapped listing data

This function returns data from an API that maps the most pertinent matches to a users input.

map_listings(locations = NULL, listing_type = "sale",
  search_type = "city", city_isolated = NULL, county_isolated = NULL,
  zipcode_isolated = NULL, state_isolated = NULL,
  street_isolated = NULL, features = NULL, only_open_houses = NULL,
  neighborhood_isolated = NULL, beds_min = NULL, beds_max = NULL,
  baths_min = NULL, baths_max = NULL, price_min = NULL,
  price_max = NULL, property_type = NULL, sqft_min = NULL,
  sqft_max = NULL, acre_min = NULL, acre_max = NULL,
  age_min = NULL, age_max = NULL, days_on_market = NULL,
  pending = NULL, is_new_construction = NULL,
  generate_new_cookies = F, include_pending_contingency = TRUE)

Arguments

locations	vector of locations
listing_type	Listing type rent sale
search_type	search type options include city - default county
city_isolated	if not NULL isolates
county_isolated	if not NULL isolates county
zipcode_isolated	if not NULL isolates zipcode
state_isolated	if not NULL isolates state
street_isolated	if not NULL isolates street
features	if not NULL list of searchable features see dictionary_listing_features for options
only_open_houses	if TRUE isolates open houses
neighborhood_isolated	if not NULL isolates
beds_min	if not NULL minimum bedrooms
beds_max	if not NULL maximum bedrooms
baths_min	if not NULL minimum bathrooms
baths_max	if not NULL maximum bathrooms
price_min	if not NULL minimum price
price_max	if not NULL maximum price
property_type	if not NULL type of property options see dictionary_property_types for options
sqft_min	if not NULL minimum square footage
sqft_max	if not NULL maximum square footage
acre_min	if not NULL minimum acres
acre_max	if not NULL maximum acres
age_min	if not NULL minimum age
age_max	if not NULL maximum age
days_on_market	if not NULL count of days on market
pending	if TRUE include pending
is_new_construction	if TRUE isolates to new construction
generate_new_cookies	generate new cookies
include_pending_contingency	if TRUE also includes pending and contingent sales

Value

a tibble

Details

This function is faster than listings but returns less detailed information.

See also

Other listing search: dictionary_listing_features, dictionary_property_types, listing_counts, listings

Examples

# NOT RUN {
## New Construction Waterfront actual mapped listings
library(dplyr)
library(realtR)
df_new_water <-
 map_listings( locations = c("Miami Beach, FL", "Naples, FL"),
features = "Waterfront", is_new_construction = TRUE )

df_new_water %>%
glimpse()

df_new_water %>%
group_by(cityProperty, stateProperty, typeProperty) %>%
summarise( meanPSF = mean(priceListingPerSF, na.rm = T),
meanPrice = mean(priceListing, na.rm = T), countListings = n()) %>%
ungroup()


# }