Listing count

This function returns a summary of the number of total listings for your specified locations and parameters

listing_counts(locations, listing_type = "sale", search_type = "city",
  features = NULL, city_isolated = NULL, county_isolated = NULL,
  zipcode_isolated = NULL, state_isolated = NULL,
  street_isolated = NULL, neighborhood_isolated = NULL,
  beds_min = NULL, beds_max = NULL, baths_min = NULL,
  baths_max = NULL, price_min = NULL, price_max = NULL,
  only_open_houses = 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,
  generate_new_cookies = F, pending = NULL,
  is_new_construction = NULL, include_pending_contingency = TRUE)

Arguments

locations	vector of locations
listing_type	type of listing sale rent
search_type	search type options include city - default county
features	if not NULL list of searchable features see dictionary_listing_features for options
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
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
only_open_houses	if TRUE isolates open houses
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
generate_new_cookies	if TRUE generates new cookies #'
pending	if TRUE include pending
is_new_construction	if TRUE isolates to new construction
include_pending_contingency	if TRUE also includes pending and contingent sales

Value

a tibble

See also

Other listing search: dictionary_listing_features, dictionary_property_types, listings, map_listings

Examples

# NOT RUN {
library(dplyr)
library(realtR)
## New Construction in selected markets
df_nc <-
listing_counts(
locations = c("Miami Beach, FL", "SOMA, San Francisco, CA", 10013,
"Bethesda, MD"),
 is_new_construction = TRUE
 )

 df_nc %>%
 select(locationSearch, countListings)
# }