R Ready to Map Unit 1: Collecting Twitter Data

• To understand the Twitter API used for collecting data.
• To learn how to do a one-time collection of tweets.
• To learn how to do a continuous collection of tweets.
• To generate a collection of tweets on a topic of your choice.

Install the rtweet package and load it.

install.packages("rtweet")
library(rtweet)

If you are getting error messages about packages missing then:

install.packages("rtweet", dependencies = TRUE)
library(rtweet)

What is Leaflet?

Make sure to take note of these things when you're making your Twitter app!

• App Name
• API Key
• API Secret

##whatever name you assigned to your created app
appname <- ""

##api key 
key <- ""

##api secret
secret <- ""

##create token named "twitter_token"
twitter_token <- create_token(
  app = appname, 
  consumer_key = key,
  consumer_secret = secret)

FMTweets <- search_tweets("farmers market", n = 1000, include_rts = FALSE, geocode = lookup_coords("georgia"))

Let's see who's tweeting about lunch right now!

Tip: Choose the appropriate meal for the appropriate time of day ;)

t<- 60 * 5
lunchstream <- stream_tweets("lunch", timeout = t)

t <- 30 means to search for tweets for 30 seconds.

t <- 60 * 3 means to search for tweets for three minutes.

t <- 60 * 60 * 24 means to search for tweets for a period of one day.

Try doing a Twitter search about breakfast, lunch, or dinner!

• Compare and contrast the results when using the stream_tweets and the search_tweets functions.