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[英]R: nested list from JSON/XML (clinicaltrials.gov) to data.frame (tidy)
[英]scraping data table from clinicaltrials.gov with rvest
當我在臨床試驗.gov 上輸入搜索詞時,我想抓取這個數據表。 具體來說,我想抓取您在此頁面上看到的表格: https ://clinicaltrials.gov/ct2/results?term=nivolumab+AND+Overall+Survival。 請參閱下面的屏幕截圖:
我已經嘗試過這段代碼,但我認為我沒有正確的 css 選擇器:
# create custom url
ctgov_url <- "https://clinicaltrials.gov/ct2/results?term=nivolumab+AND+Overall+Survival"
# read HTML page
ct_page <- rvest::read_html(ctgov_url)
# extract related terms
ct_page %>%
# find elements that match a css selector
rvest::html_element("t") %>%
# retrieve text from element (html_text() is much faster than html_text2())
rvest::html_table()
你根本不需要rvest
。 該頁面提供了一個下載按鈕來獲取搜索項的 csv。 這有一個基本的 url 編碼的 GET 語法,它允許您創建一個簡單的小 API:
get_clin_trials_data <- function(terms, n = 1000) {
terms<- URLencode(paste(terms, collapse = " AND "))
df <- read.csv(paste0(
"https://clinicaltrials.gov/ct2/results/download_fields",
"?down_count=", n, "&down_flds=shown&down_fmt=csv",
"&term=", terms, "&flds=a&flds=b&flds=y"))
dplyr::as_tibble(df)
}
這允許您傳入搜索詞向量和要返回的最大結果數。 不需要像網絡抓取那樣復雜的解析。
get_clin_trials_data(c("nivolumab", "Overall Survival"), n = 10)
#> # A tibble: 10 x 8
#> Rank Title Status Study.Results Conditions Interventions Locations URL
#> <int> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 1 A Study ~ Compl~ No Results A~ Hepatocel~ "" "Bristol~ http~
#> 2 2 Nivoluma~ Activ~ No Results A~ Glioblast~ "Drug: Nivol~ "Duke Un~ http~
#> 3 3 Nivoluma~ Unkno~ No Results A~ Melanoma "Biological:~ "CHU d'A~ http~
#> 4 4 Study of~ Compl~ Has Results Advanced ~ "Biological:~ "Highlan~ http~
#> 5 5 A Study ~ Unkno~ No Results A~ Brain Met~ "Drug: Fotem~ "Medical~ http~
#> 6 6 Trial of~ Compl~ Has Results Squamous ~ "Drug: Nivol~ "Stanfor~ http~
#> 7 7 Nivoluma~ Compl~ No Results A~ MGMT-unme~ "Drug: Nivol~ "New Yor~ http~
#> 8 8 Study of~ Compl~ Has Results Squamous ~ "Biological:~ "Mayo Cl~ http~
#> 9 9 Study of~ Compl~ Has Results Non-Squam~ "Biological:~ "Mayo Cl~ http~
#> 10 10 An Open-~ Unkno~ No Results A~ Squamous-~ "Drug: Nivol~ "IRCCS -~ http~
由reprex 包於 2022-06-21 創建 (v2.0.1)
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