## 首先加载 R包
library(RCurl)
library(rvest)

## 下载函数
Luo_Volume <- function(Volume){

    V_url <- read_html(paste("http://www.luoo.net/music/", Volume, sep = ""))
    Title <- html_text(html_nodes(V_url, "a.trackname.btn-play"))
    ID <- substr(Title, 1, 2)

    j <- 1
    for (i in ID){
        Song_URL <- paste("http://luoo-mp3.kssws.ks-cdn.com/low/luoo/radio801/",
                          i, ".mp3", sep = "")
        Song <- getURLContent(Song_URL)
        Name <- paste(Volume, "-", Title[j], ".mp3", sep = "")
        save(Song, file = Name, compress = F)
        j <- j + 1

        ## 随机休眠 2-8 秒，防止反爬虫，可以注释掉
        Sleep <- sample(2:8, 1)
        Sys.sleep(Sleep)

        print(c(Name, paste("Wait", Sleep, "seconds")))
    }
}

## 大展伸手的时候到了！
### 下载单个期刊，如，801期，http://www.luoo.net/music/801
Luo_Volume(801)
### 同时下载多个期刊，如 800 到 811，直接
for (i in 800:811){Luo_Volume(i)}

## 首先生成每日推荐的 ID
DayID <- function(Start = "2014-06-05", End = Sys.Date()){
    S <- as.Date(Start)
    E <- as.Date(End)
    Total_days <- E - S

    ID <- vector(length = Total_days)
    for (i in 1:Total_days){
        ID[i] <- format(S + i, "%Y%m%d")
    }

    ID <- as.numeric(ID)
}

## 下载函数
Download <- function(ID){
    for (i in ID){
        Song_URL <- paste("http://luoo-mp3.kssws.ks-cdn.com/low/chinese/",
            i, ".mp3", sep = "")
        Song <- getURLContent(Song_URL)
        Name <- paste(i, ".mp3", sep = "")

        if (object.size(Song) > 100) {
            save(Song, file = Name, compress = F)
            ## 随机休眠 2-8 秒，防止反爬虫，可以注释掉
            Sleep <- sample(2:8, 1)
            print(c(Name, paste("Wait", Sleep, "seconds")))
            Sys.sleep(Sleep)
        }
    }
}

## 使用方法
### 自选指定日的推荐曲目
ID <- 20160201
Download(ID)

### 多个日期，如二月和三月，月份之间用分号隔开
ID <- c(20160201:20160229, 20160301:20160331)
Download(ID)

### 选择起止日期，下载两个日期之间的全部推荐单曲，如 2015-01-01 到 2015-01-10 之间
ID <- DayID("2015-01-01", "2015-01-10");
Download(ID)

### 丧心病狂模式，下载所有日期里的推荐曲目
ID <- DayID()
Download(ID)