#' @title Get economic data from Investing.com
#'
#' @description This function retrieves economic data from the investing.com website for a specified time period
#'
#' @param from A date in the format of YYYY-MM-DD. Defaults to 10 days ago from the current system date.
#' @param to A date in the format of YYYY-MM-DD. Defaults to the current system date.
#' @param country a character string with the country name to filter dividends data for (only for Investing.com)
#' @return A data frame containing IPO calendar data for the specified date range.
#' @note Not for the faint of heart. All profits and losses related are yours and yours alone. If you don't like it, write it yourself.
#' @author Vyacheslav Arbuzov
#' @examples
#' getEconomic(from = Sys.Date(),to = Sys.Date()+35,country='Belgium')
#' @export
"getEconomic" <- function(from=Sys.Date()-10,to=Sys.Date(),country = 'United States')
{
url = 'https://www.investing.com/economic-calendar/Service/getCalendarFilteredData'
end_date = to
date = from
country_dict <- t(matrix(c(29,'Argentina',25,'Australia',54,'Austria',145,'Bahrain',34,'Belgium',174,'Bosnia-Herzegovina',163,'Botswana',32,'Brazil',70,'Bulgaria',6,'Canada',27,'Chile',37,'China',122,'Colombia',15,'Costa Rica',113,'Croatia',107,'Cyprus',55,'Czech Republic',24,'Denmark',59,'Egypt',71,'Finland',22,'France',17,'Germany',51,'Greece',39,'Hong Kong',93,'Hungary',106,'Iceland',14,'India',48,'Indonesia',33,'Ireland',23,'Israel',10,'Italy',35,'Japan',92,'Jordan',57,'Kenya',94,'Kuwait',68,'Lebanon',103,'Luxembourg',42,'Malaysia',109,'Malta',188,'Mauritius',7,'Mexico',105,'Morocco',172,'Namibia',21,'Netherlands',43,'New Zealand',20,'Nigeria',60,'Norway',87,'Oman',44,'Pakistan',193,'Palestinian Territory',125,'Peru',45,'Philippines',53,'Poland',38,'Portugal',170,'Qatar',100,'Romania',56,'Russia',52,'Saudi Arabia',238,'Serbia',36,'Singapore',90,'Slovakia',112,'Slovenia',110,'South Africa',11,'South Korea',26,'Spain',162,'Sri Lanka',9,'Sweden',12,'Switzerland',46,'Taiwan',41,'Thailand',202,'Tunisia',63,'Turkey',123,'Uganda',61,'Ukraine',143,'United Arab Emirates',4,'United Kingdom',5,'United States',138,'Venezuela',178,'Vietnam',75,'Zimbabwe'),2,80))
if(country == '')
id_country <- country_dict[,1]
if(country != '')
{
id_country <- country_dict[country_dict[,2] %in% country,1]
if(length(id_country) == 0)
{
id_country <- country_dict[,1]
}
}
data = paste0(paste0('country%5B%5D=',id_country,'&',collapse = ''),
'dateFrom=',date,'&dateTo=',end_date,'¤tTab=custom&submitFilters=1&limit_from=0')
headers = add_headers('Host' = 'www.investing.com',
'Origin' = 'https://www.investing.com',
'Referer' = 'https://www.investing.com/economic-calendar/',
'X-Requested-With' = 'XMLHttpRequest',
'Content-Type' = 'application/x-www-form-urlencoded',
'Connection' = 'keep-alive',
'Accept-Language' = 'en-US,en;q=0.9,fr;q=0.8,ja;q=0.7,es;q=0.6',
'Accept-Encoding' = 'Encoding:gzip, deflate',
'Accept' = '*/*',
'User-Agent'= 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.108 Safari/537.36')
r <- POST(url,headers,body = data,encode = "raw")
if(status_code(r) == 200)
{
cr <- content(r,as = 'text')
json_data <- fromJSON(cr)
json_data2 <- gsub('\n','',json_data$data)
json_data2 <- gsub('\t','',json_data2)
json_data2 <- gsub('\"','',json_data2)
### each row
html_rvest <- read_html(json_data2)
symbols <- html_nodes(html_rvest, "tr")
for(i in 1:length(symbols))
{
if(length(html_nodes(symbols[i], "span"))==0)
{
date_node <- as.character(html_nodes(symbols[i], "td"))
date <- strsplit(date_node, '>|<')[[1]][3]
date <- as.Date(date,'%a, %b %d, %Y')
}
if(length(html_nodes(symbols[i], "span"))>0)
{
country <- as.character(html_nodes(symbols[i], "span")[1])
country <- gsub('\"','',country)
time <- as.character(html_nodes(symbols[i], "td")[1])
event <- as.character(html_nodes(symbols[i], "td")[4])
event_act <- ifelse(length(html_nodes(symbols[i], "td"))>4,as.character(html_nodes(symbols[i], "td")[5]),NA)
event_for <- ifelse(length(html_nodes(symbols[i], "td"))>5,as.character(html_nodes(symbols[i], "td")[6]),NA)
event_prev <- ifelse(length(html_nodes(symbols[i], "td"))>6,as.character(html_nodes(symbols[i], "td")[7]),NA)
#spliting
pattern <- "title=([^ ]+)"
country <- str_match(country, pattern)[,2]
time <- strsplit(time, '>|<')[[1]][3]
event <- strsplit(event, '>|<')[[1]][5]
event_act <- ifelse(length(html_nodes(symbols[i], "td"))>4,strsplit(event_act, '>|<')[[1]][3],NA)
event_for <- ifelse(length(html_nodes(symbols[i], "td"))>5,substr(strsplit(event_for, '>|<')[[1]][3],2,10),NA)
event_prev <- ifelse(length(html_nodes(symbols[i], "td"))>5,strsplit(event_prev, '>|<')[[1]][5],NA)
record = data.table(country=trimws(country),
date=date,
time=time,
event=trimws(event),
event_act=event_act,
event_for = event_for,
event_prev = event_prev)
if(i==2)
Records <- record
if(i!=2)
Records <- rbind(Records,record)
}
}
}
if(status_code(r) != 200)
{
Records <- 'cannot connect to server'
}
return(Records)
}
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