Parse html listings

Parse vector of listing html listing urls.

html_listing_urls(urls = NULL, include_features = F, sleep_time = 1,
  return_message = TRUE)

Arguments

urls	vector of html listings
include_features	if TRUE includes features
sleep_time	if not NULL sleep time between scrapes
return_message	if TRUE returns message

Details

This function will likely result in DDOS so use carefully. When possible find the JSON api data for the listings.

Examples

html_listing_urls(urls = "https://www.realtor.com/realestateandhomes-detail/5301-Westbard-Cir-Apt-323_Bethesda_MD_20816_M63437-59115")
#> Parsing realestateandhomes-detail/5301-Westbard-Cir-Apt-323_Bethesda_MD_20816_M63437-59115
#> Warning: 1 parsing failure.
#> row col expected actual
#>   3  -- a number      -
#> Warning: 3 parsing failures.
#> row col expected actual
#>   1  -- a number    N/A
#>   3  -- a number    N/A
#>   4  -- a number    N/A
#> Warning: 3 parsing failures.
#> row col expected actual
#>   1  -- a number      -
#>   3  -- a number      -
#>   4  -- a number      -
#> # A tibble: 1 x 31
#>   dateData   statusListing typePropertyDet… urlImage dataPhotos countPhotos
#>   <date>     <chr>         <chr>            <chr>    <list>           <dbl>
#> 1 2019-08-11 Off Market    Condo Townhome … https:/… <tibble […          26
#> # … with 25 more variables: addressProperty <chr>, cityProperty <chr>,
#> #   stateProperty <chr>, zipcodeProperty <chr>, priceListing <dbl>,
#> #   nameNeighborhoodProperty <chr>, descriptionText <chr>,
#> #   areaPropertySF <dbl>, countBaths <dbl>, countBeds <dbl>,
#> #   sizeLotAcres <dbl>, dataListingHistory <list>, countListings <dbl>,
#> #   dataComps <list>, countComps <dbl>, dataTaxes <list>, dataSchool <list>,
#> #   urlListing <chr>, pricePerSFListing <dbl>, hasComps <lgl>, hasTaxes <lgl>,
#> #   hasPhotos <lgl>, hasSchools <lgl>, hasListingHistory <lgl>,
#> #   statusListingDetail <chr>