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scrape_tweets.R
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scrape_tweets.R
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suppressMessages(library(logger))
suppressMessages(library(tidyverse))
suppressMessages(library(GyMBRo))
suppressMessages(library(here))
suppressMessages(library(rtweet))
# Connect to the database. Write to a new table where we keep the text of the
# tweet. Will process later, and perhaps model all areas and not just WR.
suppressMessages(auth_as('credentials/GyMBRo.rds'))
log_info("----Pulling from database----")
drv <- RSQLite::SQLite()
con <- DBI::dbConnect(drv, "database/Western_Tweet_Data.sqlite3")
log_info("Fetching tweets")
twitter_handle <- "WesternWeightRm"
new_tweets <- suppressMessages(fetch_new_tweets(con, twitter_handle = twitter_handle))
# The `since_id` argument is what allows us to get new tweets only.
log_info("Found {nrow(new_tweets)} new tweets")
if (nrow(new_tweets) > 0) {
log_success("Writing to Database")
scraped <- new_tweets %>%
mutate(
cleaned_tweet = clean_tweet(text),
WR = get_number(cleaned_tweet, 'WR'),
CM = get_number(cleaned_tweet, 'CM'),
SPIN = get_number(cleaned_tweet, "SPIN")
)
NAs <- scraped %>%
summarise_at(vars(WR:SPIN), ~sum(is.na(.)))
if(NAs$WR>0) {
log_error('{NAs$WR} WR counts are NA')
}
if(NAs$CM>0) {
log_error('{NAs$CM} CM counts are NA')
}
if(NAs$SPIN>0) {
log_error('{NAs$SPIN} SPIN counts are NA')
}
scraped %>%
write_to_db(con)
}
DBI::dbDisconnect(con)
log_info("-----------Exiting-----------")