使用R自动下载数据 [英] Using R to download data automatically

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本文介绍了使用R自动下载数据的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我要从的价格下载pdf或excel中的所有数据,每个州X作物年X标准报告组合。 /Reports.aspx rel = noreferrer>此网站

我按照本教程操作即可。
从URL下载数据

I followed this tutorial to do what I want. Download data from URL

但是,我在第二行遇到了一个错误。

However, I hit an error on the second line.

driver <- rsDriver()

Error in subprocess::spawn_process(tfile, ...) : 
group termination: could not assign process to a job: Access is denied

我可以使用其他方法下载这些数据吗?

Are there any alternative methods that I could use to download these data?

推荐答案

首先,检查网站上的robots.txt是否存在。然后阅读条款和条件(如有)。

First, check robots.txt on the website if there is any. Then read the terms and conditions if there is any. And it is always important to throttle the request below.

检查所有条款和条件后,下面的代码将帮助您入门:

After checking all the terms and conditions, the code below should get you started:

library(httr)
library(xml2)

link <- "https://aps.dac.gov.in/LUS/Public/Reports.aspx"
r <- GET(link)
doc <- read_html(content(r, "text"))
#write_html(doc, "temp.html")

states <- sapply(xml_find_all(doc, ".//select[@name='DdlState']/option"), function(x)
    setNames(xml_attr(x, "value"), xml_text(x)))
states <- states[!grepl("^Select", names(states))]

years <- sapply(xml_find_all(doc, ".//select[@name='DdlYear']/option"), function(x)
    setNames(xml_attr(x, "value"), xml_text(x)))
years <- years[!grepl("^Select", names(years))]

rptfmt <- sapply(xml_find_all(doc, ".//select[@name='DdlFormat']/option"), function(x)
    setNames(xml_attr(x, "value"), xml_text(x)))

stdrpts <- unlist(lapply(xml_find_all(doc, ".//td/a"), function(x) {
    id <- xml_attr(x, "id")
    if (grepl("^TreeView1t", id)) return(setNames(id, xml_text(x)))
}))

get_vs <- function(doc) sapply(xml_find_all(doc, ".//input[@type='hidden']"), function(x)
    setNames(xml_attr(x, "value"), xml_attr(x, "name")))

fmt <- rptfmt[2] #Excel format
for (sn in names(states)) {
    for (yn in names(years)) {
        for (srn in seq_along(stdrpts)) {
            s <- states[sn]
            y <- years[yn]
            sr <- stdrpts[srn]

            r <- POST(link,
                body=as.list(c("__EVENTTARGET"="DdlState",
                    "__EVENTARGUMENT"="",
                    "__LASTFOCUS"="",
                    "TreeView1_ExpandState"="ennnn",
                    "TreeView1_SelectedNode"="",
                    "TreeView1_PopulateLog"="",
                    get_vs(doc),
                    DdlState=unname(s),
                    DdlYear=0,
                    DdlFormat=1)),
                encode="form")
            doc <- read_html(content(r, "text"))

            treeview <- c("__EVENTTARGET"="TreeView1",
                "__EVENTARGUMENT"=paste0("sStandard Reports\\", srn),
                "__LASTFOCUS"="",
                "TreeView1_ExpandState"="ennnn",
                "TreeView1_SelectedNode"=unname(stdrpts[srn]),
                "TreeView1_PopulateLog"="")
            vs <- get_vs(doc)
            ddl <- c(DdlState=unname(s), DdlYear=unname(y), DdlFormat=unname(fmt))
            r <- POST(link, body=as.list(c(treeview, vs, ddl)), encode="form")
            if (r$headers$`content-type`=="application/vnd.ms-excel")
                writeBin(content(r, "raw"), paste0(sn, "_", yn, "_", names(stdrpts)[srn], ".xls"))

            Sys.sleep(5)
        }
    }
}

这篇关于使用R自动下载数据的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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