Table of Contents

searchPeopleList.xml

api_kof.rs

library(XML)
library(httr)
library(tidyr)

# https://kobis.or.kr/kobisopenapi/homepg/main/main.do

searchPeople <- "https://kobis.or.kr/kobisopenapi/webservice/rest/people/searchPeopleList.xml"
KEY <- 'your_keys_here'
name <- "Christian Bale"
name <- iconv(name, to="utf8")
url <-URLencode(iconv(searchPeople, to="utf8"))
url

spRes <- GET(url, query= list("key" = KEY, "peopleNm"= name))
spRes
spParsed <- xmlParse(spRes)
spParsed  
xmlPeople <- getNodeSet(spParsed, "//people")
xmlPeople
xmlFilm <- getNodeSet(spParsed, "//people/filmoNames")
xmlFilm
filmCh <- xmlToDataFrame(xmlFilm, stringsAsFactors = F)
filmCh
View(filmCh)

library(tidyr)
library(tidyverse)

fs <- mutate(filmCh, text = strsplit(as.character(text), "\\|"))
fs <- unnest(fs, text)
str(fs)
data.frame(fs)
fs[1,]

api_kof.ro

> library(XML)
> library(httr)
> library(tidyr)
> 
> # https://kobis.or.kr/kobisopenapi/homepg/main/main.do
> 
> searchPeople <- "https://kobis.or.kr/kobisopenapi/webservice/rest/people/searchPeopleList.xml"
> KEY <- 'your_key_here'
> name <- "Christian Bale"
> name <- iconv(name, to="utf8")
> url <-URLencode(iconv(searchPeople, to="utf8"))
> url
[1] "https://kobis.or.kr/kobisopenapi/webservice/rest/people/searchPeopleList.xml"
> 
> spRes <- GET(url, query= list("key" = KEY, "peopleNm"= name))
> spRes
Response [https://kobis.or.kr/kobisopenapi/webservice/rest/people/searchPeopleList.xml?key=your_key_here&peopleNm=Christian%20Bale]
  Date: 2026-06-01 03:26
  Status: 200
  Content-Type: application/xml;charset=utf-8
  Size: 935 B
<BINARY BODY>
> spParsed <- xmlParse(spRes)
> spParsed  
<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<peopleListResult>
  <totCnt>1</totCnt>
  <peopleList>
    <people>
      <peopleCd>10077325</peopleCd>
      <peopleNm>크리스찬 베일</peopleNm>
      <peopleNmEn>Christian Bale </peopleNmEn>
      <repRoleNm>배우</repRoleNm>
      <filmoNames>브라이드!|토르: 러브 앤 썬더|암스테르담|포드 V 페라리|바이스|몬태나|더 프로미스|빅쇼트|나이트 오브 컵스|엑소더스: 신들과 왕들|아웃 오브 더 퍼니스|아메리칸 허슬|다크 나이트 라이즈|진링의 13소녀|파이터|퍼블릭 에너미|터미네이터 : 미래전쟁의 시작|다크 나이트|아임 낫 데어|3:10 투 유마|프레스티지|레스큐 던|하쉬 타임|뉴월드|배트맨 비긴즈|머시니스트|이퀼리브리엄|레인 오브 파이어|로렐 캐년|아메리칸 싸이코|벨벳 골드마인</filmoNames>
    </people>
  </peopleList>
  <source>영화진흥위원회</source>
</peopleListResult>
 
> xmlPeople <- getNodeSet(spParsed, "//people")
> xmlPeople
[[1]]
<people>
  <peopleCd>10077325</peopleCd>
  <peopleNm>크리스찬 베일</peopleNm>
  <peopleNmEn>Christian Bale </peopleNmEn>
  <repRoleNm>배우</repRoleNm>
  <filmoNames>브라이드!|토르: 러브 앤 썬더|암스테르담|포드 V 페라리|바이스|몬태나|더 프로미스|빅쇼트|나이트 오브 컵스|엑소더스: 신들과 왕들|아웃 오브 더 퍼니스|아메리칸 허슬|다크 나이트 라이즈|진링의 13소녀|파이터|퍼블릭 에너미|터미네이터 : 미래전쟁의 시작|다크 나이트|아임 낫 데어|3:10 투 유마|프레스티지|레스큐 던|하쉬 타임|뉴월드|배트맨 비긴즈|머시니스트|이퀼리브리엄|레인 오브 파이어|로렐 캐년|아메리칸 싸이코|벨벳 골드마인</filmoNames>
</people> 

attr(,"class")
[1] "XMLNodeSet"
> xmlFilm <- getNodeSet(spParsed, "//people/filmoNames")
> xmlFilm
[[1]]
<filmoNames>브라이드!|토르: 러브 앤 썬더|암스테르담|포드 V 페라리|바이스|몬태나|더 프로미스|빅쇼트|나이트 오브 컵스|엑소더스: 신들과 왕들|아웃 오브 더 퍼니스|아메리칸 허슬|다크 나이트 라이즈|진링의 13소녀|파이터|퍼블릭 에너미|터미네이터 : 미래전쟁의 시작|다크 나이트|아임 낫 데어|3:10 투 유마|프레스티지|레스큐 던|하쉬 타임|뉴월드|배트맨 비긴즈|머시니스트|이퀼리브리엄|레인 오브 파이어|로렐 캐년|아메리칸 싸이코|벨벳 골드마인</filmoNames> 

attr(,"class")
[1] "XMLNodeSet"
> filmCh <- xmlToDataFrame(xmlFilm, stringsAsFactors = F)
> filmCh
                                                                                                                                                                                                                                                                                                                                                                                                                           text
1 브라이드!|토르: 러브 앤 썬더|암스테르담|포드 V 페라리|바이스|몬태나|더 프로미스|빅쇼트|나이트 오브 컵스|엑소더스: 신들과 왕들|아웃 오브 더 퍼니스|아메리칸 허슬|다크 나이트 라이즈|진링의 13소녀|파이터|퍼블릭 에너미|터미네이터 : 미래전쟁의 시작|다크 나이트|아임 낫 데어|3:10 투 유마|프레스티지|레스큐 던|하쉬 타임|뉴월드|배트맨 비긴즈|머시니스트|이퀼리브리엄|레인 오브 파이어|로렐 캐년|아메리칸 싸이코|벨벳 골드마인
> View(filmCh)
> 
> library(tidyr)
> library(tidyverse)
> 
> fs <- mutate(filmCh, text = strsplit(as.character(text), "\\|"))
> fs <- unnest(fs, text)
> str(fs)
tibble [31 × 1] (S3: tbl_df/tbl/data.frame)
 $ text: chr [1:31] "브라이드!" "토르: 러브 앤 썬더" "암스테르담" "포드 V 페라리" ...
> data.frame(fs)
                           text
1                     브라이드!
2            토르: 러브 앤 썬더
3                    암스테르담
4                 포드 V 페라리
5                        바이스
6                        몬태나
7                   더 프로미스
8                        빅쇼트
9              나이트 오브 컵스
10        엑소더스: 신들과 왕들
11          아웃 오브 더 퍼니스
12                아메리칸 허슬
13           다크 나이트 라이즈
14                진링의 13소녀
15                       파이터
16                퍼블릭 에너미
17 터미네이터 : 미래전쟁의 시작
18                  다크 나이트
19                 아임 낫 데어
20                 3:10 투 유마
21                   프레스티지
22                    레스큐 던
23                    하쉬 타임
24                       뉴월드
25                배트맨 비긴즈
26                   머시니스트
27                 이퀼리브리엄
28             레인 오브 파이어
29                    로렐 캐년
30              아메리칸 싸이코
31                벨벳 골드마인
> fs[1,]
# A tibble: 1 × 1
  text     
  <chr>    
1 브라이드!
>

SearchMovieList.xml

search_movie_list.rs

##################################
# searchMovieList.xml

sFilms <- "https://kobis.or.kr/kobisopenapi/webservice/rest/movie/searchMovieList.xml"
KEY <- 'your_key_here'
dir <- "크리스토퍼 놀란"
dir <- iconv(dir, to="utf8")
url <-URLencode(iconv(sFilms, to="utf8"))
url

sfRes <- GET(url, query= list("key" = KEY, "directorNm"= dir))
sfRes
sfParsed <- xmlParse(sfRes)
sfParsed
xmlId <- getNodeSet(sfParsed, "//movie/movieCd")
xmlId
xmlF <- getNodeSet(sfParsed, "//movie/movieNm")
xmlF
filmId <- xmlToDataFrame(xmlId, stringsAsFactors = F)
filmId
colnames(filmId) <- "filmId"
filmId
filmN <- xmlToDataFrame(xmlF, stringsAsFactors = F)
colnames(filmN) <- "film"
filmN
str(filmN)
fg <- cbind(filmId, filmN)
fg
fg <- unnest(fg, film)
fg

search_movie_list.ro

> ##################################
> # searchMovieList.xml
> 
> sFilms <- "https://kobis.or.kr/kobisopenapi/webservice/rest/movie/searchMovieList.xml"
> KEY <- 'your_key_here'
> dir <- "크리스토퍼 놀란"
> dir <- iconv(dir, to="utf8")
> url <-URLencode(iconv(sFilms, to="utf8"))
> url
[1] "https://kobis.or.kr/kobisopenapi/webservice/rest/movie/searchMovieList.xml"
> 
> sfRes <- GET(url, query= list("key" = KEY, "directorNm"= dir))
> sfRes
Response [https://kobis.or.kr/kobisopenapi/webservice/rest/movie/searchMovieList.xml?key=your_key_here&directorNm=%ED%81%AC%EB%A6%AC%EC%8A%A4%ED%86%A0%ED%8D%BC%20%EB%86%80%EB%9E%80]
  Date: 2026-06-01 03:30
  Status: 200
  Content-Type: application/xml;charset=utf-8
  Size: 4.97 kB
<BINARY BODY>
> sfParsed <- xmlParse(sfRes)
> sfParsed
<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<movieListResult>
  <totCnt>13</totCnt>
  <movieList>
    <movie>
      <movieCd>20250654</movieCd>
      <movieNm>오디세이</movieNm>
      <movieNmEn>The Odyssey</movieNmEn>
      <prdtYear>2026</prdtYear>
      <openDt/>
      <typeNm>장편</typeNm>
      <prdtStatNm>개봉예정</prdtStatNm>
      <nationAlt>미국</nationAlt>
      <genreAlt>액션</genreAlt>
      <repNationNm>미국</repNationNm>
      <repGenreNm>액션</repGenreNm>
      <directors>
        <director>
          <peopleNm>크리스토퍼 놀란</peopleNm>
        </director>
      </directors>
      <companys/>
    </movie>
    <movie>
      <movieCd>20081056</movieCd>
      <movieNm>다크 나이트</movieNm>
      <movieNmEn>The Dark Knight</movieNmEn>
      <prdtYear>2008</prdtYear>
      <openDt>20080806</openDt>
      <typeNm>장편</typeNm>
      <prdtStatNm>개봉</prdtStatNm>
      <nationAlt>미국</nationAlt>
      <genreAlt>범죄,드라마,액션,미스터리</genreAlt>
      <repNationNm>미국</repNationNm>
      <repGenreNm>범죄</repGenreNm>
      <directors>
        <director>
          <peopleNm>크리스토퍼 놀란</peopleNm>
        </director>
      </directors>
      <companys/>
    </movie>
    <movie>
      <movieCd>20226431</movieCd>
      <movieNm>오펜하이머</movieNm>
      <movieNmEn>Oppenheimer</movieNmEn>
      <prdtYear>2023</prdtYear>
      <openDt>20230815</openDt>
      <typeNm>장편</typeNm>
      <prdtStatNm>개봉</prdtStatNm>
      <nationAlt>미국</nationAlt>
      <genreAlt>스릴러,드라마</genreAlt>
      <repNationNm>미국</repNationNm>
      <repGenreNm>스릴러</repGenreNm>
      <directors>
        <director>
          <peopleNm>크리스토퍼 놀란</peopleNm>
        </director>
      </directors>
      <companys/>
    </movie>
    <movie>
      <movieCd>20100312</movieCd>
      <movieNm>인셉션</movieNm>
      <movieNmEn>Inception</movieNmEn>
      <prdtYear>2010</prdtYear>
      <openDt>20100721</openDt>
      <typeNm>장편</typeNm>
      <prdtStatNm>개봉</prdtStatNm>
      <nationAlt>미국</nationAlt>
      <genreAlt>드라마,미스터리</genreAlt>
      <repNationNm>미국</repNationNm>
      <repGenreNm>드라마</repGenreNm>
      <directors>
        <director>
          <peopleNm>크리스토퍼 놀란</peopleNm>
        </director>
      </directors>
      <companys>
        <company>
          <companyCd>20103668</companyCd>
          <companyNm>워너 브러더스 픽쳐스</companyNm>
        </company>
        <company>
          <companyCd>20104234</companyCd>
          <companyNm>레젼데리 픽쳐스</companyNm>
        </company>
      </companys>
    </movie>
    <movie>
      <movieCd>20164621</movieCd>
      <movieNm>덩케르크</movieNm>
      <movieNmEn>Dunkirk</movieNmEn>
      <prdtYear>2017</prdtYear>
      <openDt>20170720</openDt>
      <typeNm>장편</typeNm>
      <prdtStatNm>개봉</prdtStatNm>
      <nationAlt>미국,영국</nationAlt>
      <genreAlt>액션,드라마,스릴러,전쟁</genreAlt>
      <repNationNm>미국</repNationNm>
      <repGenreNm>액션</repGenreNm>
      <directors>
        <director>
          <peopleNm>크리스토퍼 놀란</peopleNm>
        </director>
      </directors>
      <companys/>
    </movie>
    <movie>
      <movieCd>20201122</movieCd>
      <movieNm>테넷</movieNm>
      <movieNmEn>Tenet</movieNmEn>
      <prdtYear>2020</prdtYear>
      <openDt>20200826</openDt>
      <typeNm>장편</typeNm>
      <prdtStatNm>개봉</prdtStatNm>
      <nationAlt>미국</nationAlt>
      <genreAlt>액션,SF</genreAlt>
      <repNationNm>미국</repNationNm>
      <repGenreNm>액션</repGenreNm>
      <directors>
        <director>
          <peopleNm>크리스토퍼 놀란</peopleNm>
        </director>
      </directors>
      <companys/>
    </movie>
    <movie>
      <movieCd>20010238</movieCd>
      <movieNm>메멘토</movieNm>
      <movieNmEn>Memento</movieNmEn>
      <prdtYear>2000</prdtYear>
      <openDt>20010824</openDt>
      <typeNm>장편</typeNm>
      <prdtStatNm>개봉</prdtStatNm>
      <nationAlt>미국</nationAlt>
      <genreAlt>미스터리,범죄,스릴러</genreAlt>
      <repNationNm>미국</repNationNm>
      <repGenreNm>미스터리</repGenreNm>
      <directors>
        <director>
          <peopleNm>크리스토퍼 놀란</peopleNm>
        </director>
      </directors>
      <companys/>
    </movie>
    <movie>
      <movieCd>20112703</movieCd>
      <movieNm>다크 나이트 라이즈</movieNm>
      <movieNmEn>The Dark Knight Rises</movieNmEn>
      <prdtYear>2012</prdtYear>
      <openDt>20120719</openDt>
      <typeNm>장편</typeNm>
      <prdtStatNm>개봉</prdtStatNm>
      <nationAlt>미국,영국</nationAlt>
      <genreAlt>액션,범죄,스릴러</genreAlt>
      <repNationNm>미국</repNationNm>
      <repGenreNm>액션</repGenreNm>
      <directors>
        <director>
          <peopleNm>크리스토퍼 놀란</peopleNm>
        </director>
      </directors>
      <companys/>
    </movie>
    <movie>
      <movieCd>20050112</movieCd>
      <movieNm>배트맨 비긴즈</movieNm>
      <movieNmEn>Batman Begins</movieNmEn>
      <prdtYear>2005</prdtYear>
      <openDt>20050624</openDt>
      <typeNm>장편</typeNm>
      <prdtStatNm>개봉</prdtStatNm>
      <nationAlt>미국</nationAlt>
      <genreAlt>범죄,액션,판타지</genreAlt>
      <repNationNm>미국</repNationNm>
      <repGenreNm>범죄</repGenreNm>
      <directors>
        <director>
          <peopleNm>크리스토퍼 놀란</peopleNm>
        </director>
      </directors>
      <companys>
        <company>
          <companyCd>20103668</companyCd>
          <companyNm>워너 브러더스 픽쳐스</companyNm>
        </company>
      </companys>
    </movie>
    <movie>
      <movieCd>20149120</movieCd>
      <movieNm>인터스텔라</movieNm>
      <movieNmEn>Interstellar</movieNmEn>
      <prdtYear>2014</prdtYear>
      <openDt>20141106</openDt>
      <typeNm>장편</typeNm>
      <prdtStatNm>개봉</prdtStatNm>
      <nationAlt>미국,영국</nationAlt>
      <genreAlt>SF</genreAlt>
      <repNationNm>미국</repNationNm>
      <repGenreNm>SF</repGenreNm>
      <directors>
        <director>
          <peopleNm>크리스토퍼 놀란</peopleNm>
        </director>
      </directors>
      <companys/>
    </movie>
  </movieList>
  <source>영화진흥위원회</source>
</movieListResult>
 
> xmlId <- getNodeSet(sfParsed, "//movie/movieCd")
> xmlId
[[1]]
<movieCd>20250654</movieCd> 

[[2]]
<movieCd>20081056</movieCd> 

[[3]]
<movieCd>20226431</movieCd> 

[[4]]
<movieCd>20100312</movieCd> 

[[5]]
<movieCd>20164621</movieCd> 

[[6]]
<movieCd>20201122</movieCd> 

[[7]]
<movieCd>20010238</movieCd> 

[[8]]
<movieCd>20112703</movieCd> 

[[9]]
<movieCd>20050112</movieCd> 

[[10]]
<movieCd>20149120</movieCd> 

attr(,"class")
[1] "XMLNodeSet"
> xmlF <- getNodeSet(sfParsed, "//movie/movieNm")
> xmlF
[[1]]
<movieNm>오디세이</movieNm> 

[[2]]
<movieNm>다크 나이트</movieNm> 

[[3]]
<movieNm>오펜하이머</movieNm> 

[[4]]
<movieNm>인셉션</movieNm> 

[[5]]
<movieNm>덩케르크</movieNm> 

[[6]]
<movieNm>테넷</movieNm> 

[[7]]
<movieNm>메멘토</movieNm> 

[[8]]
<movieNm>다크 나이트 라이즈</movieNm> 

[[9]]
<movieNm>배트맨 비긴즈</movieNm> 

[[10]]
<movieNm>인터스텔라</movieNm> 

attr(,"class")
[1] "XMLNodeSet"
> filmId <- xmlToDataFrame(xmlId, stringsAsFactors = F)
> filmId
       text
1  20250654
2  20081056
3  20226431
4  20100312
5  20164621
6  20201122
7  20010238
8  20112703
9  20050112
10 20149120
> colnames(filmId) <- "filmId"
> filmId
     filmId
1  20250654
2  20081056
3  20226431
4  20100312
5  20164621
6  20201122
7  20010238
8  20112703
9  20050112
10 20149120
> filmN <- xmlToDataFrame(xmlF, stringsAsFactors = F)
> colnames(filmN) <- "film"
> filmN
                 film
1            오디세이
2         다크 나이트
3          오펜하이머
4              인셉션
5            덩케르크
6                테넷
7              메멘토
8  다크 나이트 라이즈
9       배트맨 비긴즈
10         인터스텔라
> str(filmN)
'data.frame':	10 obs. of  1 variable:
 $ film: chr  "오디세이" "다크 나이트" "오펜하이머" "인셉션" ...
> fg <- cbind(filmId, filmN)
> fg
     filmId               film
1  20250654           오디세이
2  20081056        다크 나이트
3  20226431         오펜하이머
4  20100312             인셉션
5  20164621           덩케르크
6  20201122               테넷
7  20010238             메멘토
8  20112703 다크 나이트 라이즈
9  20050112      배트맨 비긴즈
10 20149120         인터스텔라
> fg <- unnest(fg, film)
> fg
# A tibble: 10 × 2
   filmId   film              
   <chr>    <chr>             
 1 20250654 오디세이          
 2 20081056 다크 나이트       
 3 20226431 오펜하이머        
 4 20100312 인셉션            
 5 20164621 덩케르크          
 6 20201122 테넷              
 7 20010238 메멘토            
 8 20112703 다크 나이트 라이즈
 9 20050112 배트맨 비긴즈     
10 20149120 인터스텔라        
> 

searchMovieInfo.xml

search_movie_list.rs

###############
# searchMovieInfo.xml

sFd <- "http://www.kobis.or.kr/kobisopenapi/webservice/rest/movie/searchMovieInfo.xml"
KEY <- 'your_key_here'
filmId[7,]
fg$filmId[7]
fg$film[7]
id <- fg$filmId[7]
id
url <-URLencode(iconv(sFd, to="utf8"))
url

sfdr <- GET(url, query= list("key" = KEY, "movieCd"= id))
sfdr
sfdrP <- xmlParse(sfdr)
sfdrP
xmlA <- getNodeSet(sfdrP, "//actors/actor/peopleNm")
xmlA

actor <- xmlToDataFrame(xmlA, stringsAsFactors = F)
actor
colnames(actor) <- "actor"
actor

dir
mv <- fg$film[1]
mv
dtoa <- data.frame(dir,actor, id, mv)
dtoa

library(readr)
write_excel_csv(dtoa, "fstudy.csv")

search_movie_list.ro

> ###############
> # searchMovieInfo.xml
> 
> sFd <- "http://www.kobis.or.kr/kobisopenapi/webservice/rest/movie/searchMovieInfo.xml"
> KEY <- 'your_key_here'
> filmId[7,]
[1] "20010238"
> fg$filmId[7]
[1] "20010238"
> fg$film[7]
[1] "메멘토"
> id <- fg$filmId[7]
> id
[1] "20010238"
> url <-URLencode(iconv(sFd, to="utf8"))
> url
[1] "http://www.kobis.or.kr/kobisopenapi/webservice/rest/movie/searchMovieInfo.xml"
> 
> sfdr <- GET(url, query= list("key" = KEY, "movieCd"= id))
> sfdr
Response [http://www.kobis.or.kr/kobisopenapi/webservice/rest/movie/searchMovieInfo.xml?key=your_key_here&movieCd=20010238]
  Date: 2026-06-01 03:35
  Status: 200
  Content-Type: application/xml;charset=utf-8
  Size: 2.5 kB
<BINARY BODY>
> sfdrP <- xmlParse(sfdr)
> sfdrP
<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<movieInfoResult>
  <movieInfo>
    <movieCd>20010238</movieCd>
    <movieNm>메멘토</movieNm>
    <movieNmEn>Memento</movieNmEn>
    <movieNmOg/>
    <showTm>113</showTm>
    <prdtYear>2000</prdtYear>
    <openDt>20010824</openDt>
    <prdtStatNm>개봉</prdtStatNm>
    <typeNm>장편</typeNm>
    <nations>
      <nation>
        <nationNm>미국</nationNm>
      </nation>
    </nations>
    <genres>
      <genre>
        <genreNm>미스터리</genreNm>
      </genre>
      <genre>
        <genreNm>범죄</genreNm>
      </genre>
      <genre>
        <genreNm>스릴러</genreNm>
      </genre>
    </genres>
    <directors>
      <director>
        <peopleNm>크리스토퍼 놀란</peopleNm>
        <peopleNmEn>Christopher Nolan</peopleNmEn>
      </director>
    </directors>
    <actors>
      <actor>
        <peopleNm>가이 피어스</peopleNm>
        <peopleNmEn>Guy Pearce</peopleNmEn>
        <cast/>
        <castEn/>
      </actor>
      <actor>
        <peopleNm>캐리 앤 모스</peopleNm>
        <peopleNmEn>Carrie-Anne Moss</peopleNmEn>
        <cast/>
        <castEn/>
      </actor>
      <actor>
        <peopleNm>조 판톨리아노</peopleNm>
        <peopleNmEn>Joe Pantoliano</peopleNmEn>
        <cast/>
        <castEn/>
      </actor>
    </actors>
    <showTypes>
      <showType>
        <showTypeGroupNm>필름</showTypeGroupNm>
        <showTypeNm>필름</showTypeNm>
      </showType>
      <showType>
        <showTypeGroupNm>2D</showTypeGroupNm>
        <showTypeNm>디지털</showTypeNm>
      </showType>
    </showTypes>
    <companys>
      <company>
        <companyCd>20158370</companyCd>
        <companyNm>(주)디스테이션</companyNm>
        <companyNmEn/>
        <companyPartNm>배급사</companyPartNm>
      </company>
      <company>
        <companyCd>20122837</companyCd>
        <companyNm>(주)팝엔터테인먼트</companyNm>
        <companyNmEn>Pop Entertainment</companyNmEn>
        <companyPartNm>배급사</companyPartNm>
      </company>
      <company>
        <companyCd>20139757</companyCd>
        <companyNm>(주)엔케이컨텐츠</companyNm>
        <companyNmEn/>
        <companyPartNm>수입사</companyPartNm>
      </company>
      <company>
        <companyCd>20100207</companyCd>
        <companyNm>(주)씨네월드</companyNm>
        <companyNmEn>Cineworld</companyNmEn>
        <companyPartNm>수입사</companyPartNm>
      </company>
    </companys>
    <audits>
      <audit>
        <auditNo>2001-F222</auditNo>
        <watchGradeNm>15세관람가</watchGradeNm>
      </audit>
      <audit>
        <auditNo>2014-MF01083 </auditNo>
        <watchGradeNm>15세이상관람가</watchGradeNm>
      </audit>
    </audits>
    <staffs>
      <staff>
        <peopleNm>조나단 놀란</peopleNm>
        <peopleNmEn>Jonathan Nolan</peopleNmEn>
        <staffRoleNm>시나리오(각본)</staffRoleNm>
      </staff>
      <staff>
        <peopleNm>크리스토퍼 놀란</peopleNm>
        <peopleNmEn>Christopher Nolan</peopleNmEn>
        <staffRoleNm>시나리오(각본)</staffRoleNm>
      </staff>
    </staffs>
  </movieInfo>
  <source>영화진흥위원회</source>
</movieInfoResult>
 
> xmlA <- getNodeSet(sfdrP, "//actors/actor/peopleNm")
> xmlA
[[1]]
<peopleNm>가이 피어스</peopleNm> 

[[2]]
<peopleNm>캐리 앤 모스</peopleNm> 

[[3]]
<peopleNm>조 판톨리아노</peopleNm> 

attr(,"class")
[1] "XMLNodeSet"
> 
> actor <- xmlToDataFrame(xmlA, stringsAsFactors = F)
> actor
           text
1   가이 피어스
2  캐리 앤 모스
3 조 판톨리아노
> colnames(actor) <- "actor"
> actor
          actor
1   가이 피어스
2  캐리 앤 모스
3 조 판톨리아노
> 
> dir
[1] "크리스토퍼 놀란"
> mv <- fg$film[1]
> mv
[1] "오디세이"
> dtoa <- data.frame(dir,actor, id, mv)
> dtoa
              dir         actor       id
1 크리스토퍼 놀란   가이 피어스 20010238
2 크리스토퍼 놀란  캐리 앤 모스 20010238
3 크리스토퍼 놀란 조 판톨리아노 20010238
        mv
1 오디세이
2 오디세이
3 오디세이
> 
> library(readr)
> write_excel_csv(dtoa, "fstudy.csv")
> 
> # write.csv(dtoa, file="fstdy.csv", fileEncoding = "utf-8")
> #
> 

searchMovieInfo.xml 2

search_movie_list.rs

# searchMovieInfo.xml 2

sFd <- "http://www.kobis.or.kr/kobisopenapi/webservice/rest/movie/searchMovieInfo.xml"
KEY <- 'your_key_here'
n.film <- nrow(filmId)
n.film

url <-URLencode(iconv(sFd, to="utf8"))
url
actors <- list()
mvs <- list()
dirs <- list()
fg$film[2]
for (i in 1:n.film) {
  # Code to execute
  # print(filmId[i,])
  id <- filmId[i, ]
  fname <- fg$film[i]
  sfdr <- GET(url, query= list("key" = KEY, "movieCd"= id))
  sfdrP <- xmlParse(sfdr)
  xmlA <- getNodeSet(sfdrP, "//actors/actor/peopleNm")
  actor <- xmlToDataFrame(xmlA, stringsAsFactors = F)
  actors[i] <- actor
  mvs[i] <- fname
  dirs[i] <- dir
}
actors
mvs
dirs
# Create the dataframe
movie_df <- tibble(
  Movie = mvs,
  Director = dirs,
  Actors = actors
)
View(movie_df)
# write_excel_csv(movie_df, "dirs.actors.csv")
# write.csv(movie_df, "da.csv", row.names = T, fileEncoding = "UTF-8")

search_movie_list.ro

> # searchMovieInfo.xml 2
> 
> sFd <- "http://www.kobis.or.kr/kobisopenapi/webservice/rest/movie/searchMovieInfo.xml"
> KEY <- 'your_key_here'
> n.film <- nrow(filmId)
> n.film
[1] 10
> 
> url <-URLencode(iconv(sFd, to="utf8"))
> url
[1] "http://www.kobis.or.kr/kobisopenapi/webservice/rest/movie/searchMovieInfo.xml"
> actors <- list()
> mvs <- list()
> dirs <- list()
> fg$film[2]
[1] "다크 나이트"
> for (i in 1:n.film) {
+   # Code to execute
+   # print(filmId[i,])
+   id <- filmId[i, ]
+   fname <- fg$film[i]
+   sfdr <- GET(url, query= list("key" = KEY, "movieCd"= id))
+   sfdrP <- xmlParse(sfdr)
+   xmlA <- getNodeSet(sfdrP, "//actors/actor/peopleNm")
+   actor <- xmlToDataFrame(xmlA, stringsAsFactors = F)
+   actors[i] <- actor
+   mvs[i] <- fname
+   dirs[i] <- dir
+ }
> actors
[[1]]
[1] "맷 데이먼"     "톰 홀랜드"    
[3] "앤 해서웨이"   "로버트 패틴슨"
[5] "루피타 뇽오"   "젠데이아 콜먼"
[7] "샤를리즈 테론"

[[2]]
[1] "크리스찬 베일" "마이클 케인"  
[3] "히스 레저"     "아론 에크하트"
[5] "매기 질렌할"   "게리 올드만"  
[7] "모건 프리먼"  

[[3]]
[1] "킬리언 머피"          "에밀리 블런트"       
[3] "맷 데이먼"            "로버트 다우니 주니어"
[5] "플로렌스 퓨"          "조쉬 하트넷"         
[7] "케이시 애플렉"        "라미 말렉"           
[9] "케네스 브래너"       

[[4]]
[1] "레오나르도 디카프리오"
[2] "엘렌 페이지"          
[3] "마리옹 꼬띠아르"      

[[5]]
[1] "톰 하디"       "마크 라이런스"
[3] "케네스 브래너" "킬리언 머피"  
[5] "제임스 다시"   "케빈 구스리"  

[[6]]
 [1] "존 데이비드 워싱턴" "로버트 패틴슨"     
 [3] "엘리자베스 데비키"  "애론 테일러 존슨"  
 [5] "마이클 케인"        "케네스 브래너"     
 [7] "히메쉬 파텔"        "클레멘스 포시"     
 [9] "유리 코로콜니코브"  "앤드류 하워드"     
[11] "마틴 도노반"       

[[7]]
[1] "가이 피어스"   "캐리 앤 모스" 
[3] "조 판톨리아노"

[[8]]
[1] "크리스찬 베일"  "게리 올드만"   
[3] "앤 해서웨이"    "톰 하디"       
[5] "조셉 고든 레빗"

[[9]]
[1] "리암 니슨"     "크리스찬 베일"
[3] "마이클 케인"  

[[10]]
[1] "매튜 매커너히"   "앤 해서웨이"    
[3] "마이클 케인"     "제시카 차스테인"
[5] "케이시 애플렉"  

> mvs
[[1]]
[1] "오디세이"

[[2]]
[1] "다크 나이트"

[[3]]
[1] "오펜하이머"

[[4]]
[1] "인셉션"

[[5]]
[1] "덩케르크"

[[6]]
[1] "테넷"

[[7]]
[1] "메멘토"

[[8]]
[1] "다크 나이트 라이즈"

[[9]]
[1] "배트맨 비긴즈"

[[10]]
[1] "인터스텔라"

> dirs
[[1]]
[1] "크리스토퍼 놀란"

[[2]]
[1] "크리스토퍼 놀란"

[[3]]
[1] "크리스토퍼 놀란"

[[4]]
[1] "크리스토퍼 놀란"

[[5]]
[1] "크리스토퍼 놀란"

[[6]]
[1] "크리스토퍼 놀란"

[[7]]
[1] "크리스토퍼 놀란"

[[8]]
[1] "크리스토퍼 놀란"

[[9]]
[1] "크리스토퍼 놀란"

[[10]]
[1] "크리스토퍼 놀란"

> # Create the dataframe
> movie_df <- tibble(
+   Movie = mvs,
+   Director = dirs,
+   Actors = actors
+ )
> View(movie_df)
> # write_excel_csv(movie_df, "dirs.actors.csv")
> # write.csv(movie_df, "da.csv", row.names = T, fileEncoding = "UTF-8")