listing_counts | R Documentation |
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
)
locations |
vector of locations |
listing_type |
type of listing
|
search_type |
search type options include
|
features |
if not |
city_isolated |
if not |
county_isolated |
if not |
zipcode_isolated |
if not |
state_isolated |
if not |
street_isolated |
if not |
neighborhood_isolated |
if not |
beds_min |
if not |
beds_max |
if not |
baths_min |
if not |
baths_max |
if not |
price_min |
if not |
price_max |
if not |
only_open_houses |
if |
property_type |
if not |
sqft_min |
if not |
sqft_max |
if not |
acre_min |
if not |
acre_max |
if not |
age_min |
if not |
age_max |
if not |
days_on_market |
if not |
generate_new_cookies |
if |
pending |
if |
is_new_construction |
if |
include_pending_contingency |
if |
a tibble
Other listing search:
dictionary_listing_features()
,
dictionary_property_types()
,
listings()
,
map_listings()
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)
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