require(jsonlite) require(stringr) require(RCurl) require(devtools) require(RTwitterAPI) setwd("~/Dokumente/Uni/Aktuell/BA-Arbeit/uni-ba-issuecomp") source("functions.R") # Set curl handle for friendly scraping handle <- getCurlHandle(httpheader = list(from = "max.mehl@uni.kn", 'user-agent' = str_c(R.version$version.string) ) ) acc_url <- "http://www.bundestwitter.de/api/politiker" #acc_json <- readLines("politiker.txt") acc_df <- fromJSON(acc_url) # -------------- url <- "https://api.twitter.com/1.1/statuses/user_timeline.json"; query <- c(screen_name="mxmehl", include_rts=1, count="200", exclude_replies="true", trim_user="true", include_entities="false"); as.character(as.numeric(result$id_str[nrow(result)]) - 1) str_detect(result$created_at[nrow(result)], "2013$") result <- fromJSON(correctJSON(twitter_api_call(url, query, params))) # --------------- # http://www.joyofdata.de/blog/twitters-rest-api-v1-1-with-r-for-linux-and-windows/ # devtools::install_github("joyofdata/RTwitterAPI") api_params <- c( "oauth_consumer_key" = "c9Ob2fWNSONMC0mA2JlNaeRke", "oauth_nonce" = NA, "oauth_signature_method" = "HMAC-SHA1", "oauth_timestamp" = NA, "oauth_token" = "1007025684-RFxCDFc4OPkt02bASmdci00TB4jgaPjfqxLRT58", "oauth_version" = "1.0", "consumer_secret" = "cZ3Il2hmbLgK0Lc57mj5kUvymjVdsmZKYwKOGHR3NhCpvWgEOI", "oauth_token_secret" = "rvfv8MgexFKTqrPNSoGrdrZVNhV4fTJb2Bgz249nbvKNg" ) api_url <- "https://api.twitter.com/1.1/statuses/user_timeline.json"; user <- "GregorGysi" max_count <- "200" max_id <- "999999999999999999" loop <- 1 keep <- c("created_at", "id_str", "text", "retweet_count") rm(tweets_full) repeat { # Define specific search query query <- c(include_rts=1, exclude_replies="true", trim_user="true", include_entities="false", screen_name=user, count=max_count, max_id=max_id); # If a tweets_full DB already exists (after the first loop this should be the case) if(exists("tweets_full")) { current <- twitter_api_call(api_url, query, api_params) tweets_temp <- fromJSON(correctJSON(current)) tweets_temp <- tweets_temp[keep] tweets_full <- insertRow(tweets_full, tweets_temp) rm(tweets_temp) } # First loop else { current <- twitter_api_call(api_url, query, api_params) tweets_full <- fromJSON(correctJSON(current)) tweets_full <- tweets_full[keep] } # Is the last tweet in tweets_full from 2013? status <- str_detect(tweets_full$created_at[nrow(tweets_full)], "2013$") # Last loop is reached. Now clear the data frame if (status) { # Delete all tweets from 2013 old <- 0 for(r in 1:nrow(tweets_full)) { status <- str_detect(tweets_full$created_at[r], "2013$") if(is.na(status)) { status <- FALSE } if(status) { old <- old + 1 } } if(old > 0) { old <- old - 1 tweets_full <- head(tweets_full, -old) } rm(old) break # End loop because 2013 is reached } # The last tweet is still from 2014, so we need another loop else { max_id <- as.character(as.numeric(tweets_full$id_str[nrow(tweets_full)]) - 2) loop <- loop + 1 } } # ---------------