116 lines
3.7 KiB
R
116 lines
3.7 KiB
R
require(jsonlite)
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require(stringr)
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require(RCurl)
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require(devtools)
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require(RTwitterAPI)
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setwd("~/Dokumente/Uni/Aktuell/BA-Arbeit/uni-ba-issuecomp")
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source("functions.R")
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# # Set curl handle for friendly scraping
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# handle <- getCurlHandle(httpheader = list(from = "max.mehl@uni.kn",
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# 'user-agent' = str_c(R.version$version.string)
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# )
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# )
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acc_url <- "http://www.bundestwitter.de/api/politiker"
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#acc_json <- readLines("politiker.txt")
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acc_df <- fromJSON(acc_url)
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# ---------------
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# http://www.joyofdata.de/blog/twitters-rest-api-v1-1-with-r-for-linux-and-windows/
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# devtools::install_github("joyofdata/RTwitterAPI")
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api_params <- c(
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"oauth_consumer_key" = "c9Ob2fWNSONMC0mA2JlNaeRke",
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"oauth_nonce" = NA,
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"oauth_signature_method" = "HMAC-SHA1",
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"oauth_timestamp" = NA,
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"oauth_token" = "1007025684-RFxCDFc4OPkt02bASmdci00TB4jgaPjfqxLRT58",
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"oauth_version" = "1.0",
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"consumer_secret" = "cZ3Il2hmbLgK0Lc57mj5kUvymjVdsmZKYwKOGHR3NhCpvWgEOI",
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"oauth_token_secret" = "rvfv8MgexFKTqrPNSoGrdrZVNhV4fTJb2Bgz249nbvKNg"
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)
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api_url <- "https://api.twitter.com/1.1/statuses/user_timeline.json";
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max_count <- "200"
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keep <- c("created_at", "id_str", "text", "retweet_count")
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rm(tweets_full)
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for(a in 1:nrow(acc_df)) {
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user <- as.character(acc_df$screenname[a])
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name <- as.character(acc_df$name[a])
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max_id <- "999999999999999999"
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loop <- 1
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repeat {
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# Define specific search query
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query <- c(include_rts=1, exclude_replies="true", trim_user="true", include_entities="false",
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screen_name=user,
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count=max_count,
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max_id=max_id);
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# If a tweets_full DB already exists (after the first loop this should be the case)
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if(exists("tweets_full")) {
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current <- twitter_api_call(api_url, query, api_params)
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tweets_temp <- fromJSON(correctJSON(current))
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tweets_temp <- tweets_temp[keep]
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tweets_temp <- cbind(user=user, name=name, tweets_temp)
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tweets_full <- insertRow(tweets_full, tweets_temp)
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rm(tweets_temp)
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}
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# First loop
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else {
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current <- twitter_api_call(api_url, query, api_params)
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tweets_full <- fromJSON(correctJSON(current))
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tweets_full <- tweets_full[keep]
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tweets_full <- cbind(user=user, name=name, tweets_full)
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}
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# Now sleep 3 second to dodge 300queries/15min limit
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stat_tweet <- nrow(tweets_full)
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cat("[",a,"/",nrow(acc_df),"] ", sep = "")
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cat("User: ",user," in loop: ",loop,". \n", sep = "")
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Sys.sleep(2)
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# Is the last tweet in tweets_full from 2013?
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status <- str_detect(tweets_full$created_at[nrow(tweets_full)], "2014$")
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# Last loop is reached. Now clear the data frame
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if (!status) { # Starting when tweet not from 2014
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# Delete all tweets from 2013
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old <- 0
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for(r in 1:nrow(tweets_full)) {
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status <- str_detect(tweets_full$created_at[r], "2014$")
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if(is.na(status)) { status <- FALSE }
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if(!status) { # Starting when tweet not from 2014
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old <- old + 1
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}
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}
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if(old > 0) {
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old <- old - 1
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tweets_full <- head(tweets_full, -old)
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}
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rm(old)
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break # End loop because 2013 is reached
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}
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# The last tweet is still from 2014, so we need another loop
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else {
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# Setting max_id to gather next 200 tweets
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max_id <- tweets_full$id_str[nrow(tweets_full)]
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loop <- loop + 1 # just for stats
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}
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}
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# Every tweet from 2014 from user[r] is downloaded. Now next user in for-loop
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cat("User:",user,"finished after",loop,"loops. Total Tweets now:",nrow(tweets_full),"\n")
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}
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# ---------------
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