rvest

问题 I'm new to webscraping, but I am excited using rvest in R. I tried to use it to scrape particular data of companies. I have created a for loop (171 urls), and when I am running it stops on 6th or 7th url with an error Error in parse.response(r, parser, encoding = encoding) : server error: (503) Service Unavailable When I start my loop from 7th url it goes for two or three more and stops again with the same error. My loop library(rvest) thing<-c("http://www.informazione-aziende.it/Azienda_ LA

问题 url <-"http://news.chosun.com/svc/content_view/content_view.html?contid=1999080570392" hh = read_html(GET(url),encoding = "EUC-KR") #guess_encoding(hh) html_text(html_node(hh, 'div.par')) #html_text(html_nodes(hh ,xpath='//*[@id="news_body_id"]/div[2]/div[3]')) I'm trying to crawling the news data(just for practice) using rvest in R. When I tried it on the homepage above, I failed to fetch the text from the page. (Xpath doesn't work either.) I do not think I failed to find the link that

问题 Using rvest package, I am trying to scrape data from my LinkedIn profile. These attempts: library(rvest) url = "https://www.linkedin.com/profile/view?id=AAIAAAFqgUsBB2262LNIUKpTcr0cF_ekoX9ZJh0&trk=nav_responsive_tab_profile" li = read_html(url) html_nodes(li, "#experience-316254584-view span.field-text") html_nodes(li, xpath='//*[@id="experience-610617015-view"]/p/span/text()') don't find any nodes: #> {xml_nodeset (0)} Q: How to return just the text? #> "Quantitative hedge fund manager

问题 I am trying to gather a dataset from this site called ICObench. I've managed to extract the names of each ICO in the 91 pages using rvest and purrr, but Im confused as to how I can extract data behind each name in the list. All the names are clickable links. This is the code so far: url_base <- "https://icobench.com/icos?page=%d&filterBonus=&filterBounty=&filterTeam=&filterExpert=&filterSort=&filterCategory=all&filterRating=any&filterStatus=ended&filterCountry=any&filterRegistration=0

问题 I'm trying to grab a table of data using read_html from the r package rvest. I've tried the below code: library(rvest) raw <- read_html("https://demanda.ree.es/movil/peninsula/demanda/tablas/2016-01-02/2") I don't believe the above pulled the data from the table, since I see 'raw' is a list of 2: 'node:<externalptr>' and 'doc:<externalptr>' I've tried grabbing the xpath too: html_nodes(raw,xpath = '//*[(@id = "tabla_generacion")]//*[contains(concat( " ", @class, " " ), concat( " ", "ng-scope"

问题 I am looking for code that can inform me in which cell of an html table a particular icon resides. Here is what I am working with: u <- "http://www.transfermarkt.nl/lionel-messi/leistungsdaten/spieler/28003/saison/2014/plus/1" doc <- rvest::html(u) tab <- rvest::html_table(doc, fill = TRUE)[[6]] The column "Pos." designates the player's position in the field. Some of these have an additional icon. I can see the presence of these icons on the page as follows: rvest::html_nodes(doc, "

问题 I recently discovered the rvest package in R and decided to try out some web scraping. I wrote a small web crawler in a function so I could pipe it down to clean it up etc. With a small url list (e.g. 1-100) the function works fine, however when a larger list is used the function hangs at some point. It seems like one of the commands is waiting for a response but does not seems to get one and does not result in an error. urlscrape<-function(url_list) { library(rvest) library(dplyr) assets<-NA

问题 I recently discovered the rvest package in R and decided to try out some web scraping. I wrote a small web crawler in a function so I could pipe it down to clean it up etc. With a small url list (e.g. 1-100) the function works fine, however when a larger list is used the function hangs at some point. It seems like one of the commands is waiting for a response but does not seems to get one and does not result in an error. urlscrape<-function(url_list) { library(rvest) library(dplyr) assets<-NA

问题 I'm trying to come up with a robust way to scrape the final standings of the NFL teams in each season; wonderfully, there is a Wikipedia page with links to all this info. Unfortunately, there is a lot of inconsistency (perhaps to be expected, given the evolution of league structure) in how/where the final standings table is stored. The saving grace should be that the relevant table is always in a section with the word "Standings". Is there some way I can grep a section name and only extract

问题 I am currently working on a project where I need to find the manufacturer, model, and year of VIN numbers. I have a list of 300 different VIN numbers. Going through each individual VIN number and manually inputting the manufacturer, model, and year into excel is very inefficient and tedious. I have tried using the Rvest packages with SelectorGadget to write a few lines of code in R in order to scrape this site to obtain the information but I was not successful: http://www.vindecoder.net/?vin