我想从bnf网站https://bnf.nice.org.uk/drug/
中删除一份药物清单我们以卡马西平为例 - https://bnf.nice.org.uk/drug/carbamazepine.html#indicationsAndDoses
我希望以下代码循环遍历该药物中的每个适应症，并返回每种适应症的患者类型和剂量。当我最终想要将其作为数据帧时，这是一个问题，因为有7种适应症和大约9种患者类型和剂量。
目前，我得到了一个看起来像 -
的指示变量[1] "Focal and secondary generalised tonic-clonic seizures"
[2] "Primary generalised tonic-clonic seizures"
[3] "Trigeminal neuralgia"
[4] "Prophylaxis of bipolar disorder unresponsive to lithium"
[5] "Adjunct in acute alcohol withdrawal "
[6] "Diabetic neuropathy"
[7] "Focal and generalised tonic-clonic seizures"
患者组变量看起来像 -
[1] "For \n Adult\n "
[2] "For \n Elderly\n "
[3] "For \n Adult\n "
[4] "For \n Adult\n "
[5] "For \n Adult\n "
[6] "For \n Adult\n "
[7] "For \n Adult\n "
[8] "For \n Child 1 month–11 years\n "
[9] "For \n Child 12–17 years\n "
我希望如下 -
Indication Pt group
[1] "Focal and secondary generalised tonic-clonic seizures" For Adult
[1] "Focal and secondary generalised tonic-clonic seizures" For elderly
[2] "Primary generalised tonic-clonic seizures" For Adult
依旧......
这是我的代码 -
url_list <- paste0("https://bnf.nice.org.uk/drug/", druglist, ".html#indicationsAndDoses")
url_list
## The scraping bit - we are going to extract key bits of information for each drug in the list and craete a data frame
drug_table <- data.frame() # an empty data frame
for(i in seq_along(url_list)){
i=15
## Extract drug name
drug <- read_html(url_list[i]) %>%
html_nodes("span") %>%
html_text() %>%
.[7]
## Extract indication
indication <- read_html(url_list[i]) %>%
html_nodes(".indication") %>%
html_text()%>%
unique
## Extact patient group
for (j in seq_along(length(indication))){
pt_group <- read_html(url_list[i]) %>%
html_nodes(".patientGroupList") %>%
html_text()
ln <- length(pt_group)
## Extract dose info per pateint group
dose <- read_html(url_list[i]) %>%
html_nodes("p") %>%
html_text() %>%
.[2:(1+ln)]
## Combine pt group and dose
dose1 <- cbind(pt_group, dose)
}
## Create the data frame
drug_df <- data.frame(Drug = drug, Indication = indication, Dose = dose1)
## Combine data
drug_table <- bind_rows(drug_table, drug_df)
}
答案 0 :(得分：0)
该网站实际上已被我阻止！我在那里看不到任何东西，但我可以告诉你，基本上，应该这样做。
html_nodes（）函数将每个HTML标记转换为R数据帧中的一行。
library(rvest)
## Loading required package: xml2
# Define the url once.
URL <- "https://scistarter.com/finder?phrase=&lat=&lng=&activity=At%20the%20beach&topic=&search_filters=&search_audience=&page=1#view-projects"
scistarter_html <- read_html(URL)
scistarter_html
## {xml_document}
## <html class="no-js" lang="en">
## [1] <head>\n<meta http-equiv="Content-Type" content="text/html; charset= ...
## [2] <body>\n \n \n <svg style="position: absolute; width: 0; he ...
我们可以检索我们在浏览器中看到的相同HTML代码。这还没用，但它确实表明我们能够检索我们在浏览器中看到的相同HTML代码。现在我们将开始过滤HTML以查找我们正在追踪的数据。
我们想要的数据存储在一个表中，我们可以通过查看“Inspect Element”窗口来判断。
这会抓取所有包含链接的节点。
scistarter_html %>%
html_nodes("a") %>%
head()
## {xml_nodeset (6)}
## [1] <a href="/index.html" class="site-header__branding" title="go to the ...
## [2] <a href="/dashboard">My Account</a>
## [3] <a href="/finder" class="is-active">Project Finder</a>
## [4] <a href="/events">Event Finder</a>
## [5] <a href="/people-finder">People Finder</a>
## [6] <a href="#dialog-login" rel="modal:open">log in</a>
在一个更复杂的例子中，我们可以使用它来“抓取”页面，但那是另一天。
页面上的每个div：
scistarter_html %>%
html_nodes("div") %>%
head()
## {xml_nodeset (6)}
## [1] <div class="site-header__nav js-hamburger b-utility">\n <butt ...
## [2] <div class="site-header__nav__body js-hamburger__body">\n < ...
## [3] <div class="nav-tools">\n <div class="nav-tools__search"> ...
## [4] <div class="nav-tools__search">\n <div class="field">\n ...
## [5] <div class="field">\n <form method="get" action="/fin ...
## [6] <div class="input-group input-group--flush">\n <d ...
… the nav-tools div. This calls by css where class=nav-tools.
scistarter_html %>%
html_nodes("div.nav-tools") %>%
head()
## {xml_nodeset (1)}
## [1] <div class="nav-tools">\n <div class="nav-tools__search"> ...
We can call the nodes by id as follows.
scistarter_html %>%
html_nodes("div#project-listing") %>%
head()
## {xml_nodeset (1)}
## [1] <div id="project-listing" class="subtabContent">\n \n ...
所有表格如下：
scistarter_html %>%
html_nodes("table") %>%
head()
## {xml_nodeset (6)}
## [1] <table class="table-project-2-col u-mb-0">\n<legend class="u-visuall ...
## [2] <table class="table-project-2-col u-mb-0">\n<legend class="u-visuall ...
## [3] <table class="table-project-2-col u-mb-0">\n<legend class="u-visuall ...
## [4] <table class="table-project-2-col u-mb-0">\n<legend class="u-visuall ...
## [5] <table class="table-project-2-col u-mb-0">\n<legend class="u-visuall ...
## [6] <table class="table-project-2-col u-mb-0">\n<legend class="u-visuall ...
有关详细信息，请参阅下面的（相关）链接。