当我使用R调用此api时,为什么我的地址必须是字符错误?

时间:2019-07-16 00:39:04

标签: r api zillow

library(ZillowR)
library(tidyverse)

#Try
# Sample data
set_zillow_web_service_id("X1-ZWz17seirkzuh7_93aho")

map2_dfr(sample3$Street, sample3$ZipCode,
         ~{GetDeepSearchResults(address = .x,
                                citystatezip = as.character(.y),
                                rentzestimate=FALSE) %>% 
             unlist() %>% 
             enframe()
         }) %>% 
  filter(!str_detect(value, "text"))

使用数据面食对数据进行采样:

tibble::tribble(
  ~AccountId, ~ZipCode, ~Totalestimate, ~ZipHhIncome,                ~Street, ~State, ~xxxxxxxxxxxxPct, ~ZipPctAdvDegree, ~AgeFactorPct,             ~City,
      464641,    43130,             0,        46205,    "2577 Long Bow Ave",   "OH",             0.8,      0.058499952,           0.7,       "Lancaster",
      451304,    44718,             0,        69396,    "4822 Armandale Nw",   "OH",             0.8,      0.171958907,           0.7,          "Canton",
      443925,     8837,             0,        74764,    "348 Grandview Ave",   "NJ",               1,       0.16989858,           0.7,          "Edison",
      464725,     2032,           147,       100658,       "81 Rhoades Ave",   "MA",             1.3,      0.247449819,           0.7,    "East Walpole",
      431671,    89403,        335.86,        55248, "296 Monte Cristo Dr.",   "NV",             0.8,      0.066260613,           0.7,          "Dayton",
      474844,    99703,         61.05,        53031,      "4348 9th Street",   "AK",            1.05,      0.061620898,           0.8, "Fort Wainwright",
      440990,    55429,             0,        43835, "5649 Vera Cruz Ave N",   "MN",               1,      0.050472833,           0.7,         "Crystal"
  )

如何获取getdeepsearchresults api的输出?我希望我的查询命中api并返回参数的每一行的结果,即地址(街道)和邮政编码(citystatezip)

1 个答案:

答案 0 :(得分:0)

获取addresscitystatezip的一种方法是使用map2_df / map2_dfr并将StreetZipCode传递给{{1 },然后仅提取感兴趣的属性。

GetDeepSearchResults

或使用基数R library(ZillowR) purrr::map2_df(sample$Street, as.character(sample$ZipCode), ~{ temp <- GetDeepSearchResults(address = .x,citystatezip = .y) tibble(Address = temp$request$address, Zip = temp$request$citystatezip) }) # A tibble: 7 x 2 # Address Zip # <chr> <chr> #1 2577 Long Bow Ave 43130 #2 4822 Armandale Nw 44718 #3 348 Grandview Ave 8837 #4 81 Rhoades Ave 2032 #5 296 Monte Cristo Dr. 89403 #6 4348 9th Street 99703 #7 5649 Vera Cruz Ave N 55429

Map