首先,请确保您要抓取的每个站点都允许您抓取数据,如果您违反某些规则可能会招致法律问题。
(注意,我只使用了 http://toscrape.com/ ,一个沙盒网站来抓取,因为你没有提供你的数据)
之后,您可以继续进行此操作,希望对您有所帮助:
# first, your data I think they're similar to this
pubs <- data.frame(site = c("http://quotes.toscrape.com/",
"http://quotes.toscrape.com/"),
html.node = c(".text",".author"), stringsAsFactors = F)
然后是你需要的循环:
library(rvest)
# an empty list, to fill with the scraped data
empty_list <- list()
# here you are going to fill the list with the scraped data
for (i in 1:nrow(pubs)){
art.url <- pubs[i, 1] # choose the site as you did
art.node <- pubs[i, 2] # choose the node as you did
# scrape it!
empty_list[[i]] <- read_html(art.url) %>% html_nodes(art.node) %>% html_text()
}
现在结果是一个列表,但是,有:
names(empty_list) <- pubs$site
您将在列表的每个元素中添加网站名称,结果如下:
$`http://quotes.toscrape.com/`
[1] "“The world as we have created it is a process of our thinking. It cannot be changed without changing our thinking.”"
[2] "“It is our choices, Harry, that show what we truly are, far more than our abilities.”"
[3] "“There are only two ways to live your life. One is as though nothing is a miracle. The other is as though everything is a miracle.”"
[4] "“The person, be it gentleman or lady, who has not pleasure in a good novel, must be intolerably stupid.”"
[5] "“Imperfection is beauty, madness is genius and it's better to be absolutely ridiculous than absolutely boring.”"
[6] "“Try not to become a man of success. Rather become a man of value.”"
[7] "“It is better to be hated for what you are than to be loved for what you are not.”"
[8] "“I have not failed. I've just found 10,000 ways that won't work.”"
[9] "“A woman is like a tea bag; you never know how strong it is until it's in hot water.”"
[10] "“A day without sunshine is like, you know, night.”"
$`http://quotes.toscrape.com/`
[1] "Albert Einstein" "J.K. Rowling" "Albert Einstein" "Jane Austen" "Marilyn Monroe" "Albert Einstein" "André Gide"
[8] "Thomas A. Edison" "Eleanor Roosevelt" "Steve Martin"
显然它应该适用于不同的站点和不同的节点。