rtweet v0.6.7


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Collecting Twitter Data

An implementation of calls designed to collect and organize Twitter data via Twitter's REST and stream Application Program Interfaces (API), which can be found at the following URL: <https://developer.twitter.com/en/docs>.



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R client for accessing Twitter’s REST and stream APIs. Check out the rtweet package documentation website.


To get the current released version from CRAN:

## install rtweet from CRAN

## load rtweet package

To get the current development version from Github:

## install devtools package if it's not already
if (!requireNamespace("devtools", quietly = TRUE)) {

## install dev version of rtweet from github

## load rtweet package


All you need is a Twitter account and you can be up in running in minutes!

API authorization

All users must be authorized to interact with Twitter’s APIs. To become authorized, follow the instructions below to (1) make a Twitter app and (2) create and save your access token (using one of the two authorization methods described below).

1. Create an app

  • To gain access Twitter’s APIs, first go to apps.twitter.com and create a new app by completing the form fields (note: users must enter the value for Callback URL exactly as it appears below):
    • Name: Name of Twitter app e.g., my_twitter_research_app
    • Description: Describe use case e.g., for researching trends and behaviors on twitter
    • Website: Valid website e.g., https://twitter.com/kearneymw
    • `*Callback URL*`:
  • Check yes if you agree and then click “Create your Twitter application”

2a. Authenticate via web browser (interactive)

  • Go to your app’s page at apps.twitter.com and click the tab labeled Keys and Access Tokens

  • Copy the Consumer Key and Consumer Secret values and pass them, along with the name of your app, to the create_token() function

    ## web browser method: create token and save it as an environment variable
      app = "my_twitter_research_app",
      consumer_key = "XYznzPFOFZR2a39FwWKN1Jp41",
      consumer_secret = "CtkGEWmSevZqJuKl6HHrBxbCybxI1xGLqrD5ynPd9jG0SoHZbD")

2b. Authenticate via access token

  • Go to your app’s page at apps.twitter.com and click the tab labeled Keys and Access Tokens

  • Scroll down to Token Actions and click Create my access token

  • Copy the Consumer Key, Consumer Secret, Access Token, and Access Token Secret values and pass them, along with the name of your app, to the create_token() function

    ## access token method: create token and save it as an environment variable
      app = "my_twitter_research_app",
      consumer_key = "XYznzPFOFZR2a39FwWKN1Jp41",
      acess_token = "9551451262-wK2EmA942kxZYIwa5LMKZoQA4Xc2uyIiEwu2YXL",
      access_secret = "9vpiSGKg1fIPQtxc5d5ESiFlZQpfbknEN1f1m2xe5byw7")

And that’s it! You’re ready to start collecting and analyzing Twitter data! And because create_token() automatically saves your token as an environment variable, you’ll be set for future sessions as well!

Package features

Search tweets

Search for up to 18,000 (non-retweeted) tweets containing the rstats hashtag.

## search for 18000 tweets using the rstats hashtag
rt <- search_tweets(
  "#rstats", n = 18000, include_rts = FALSE

Quickly visualize frequency of tweets over time using ts_plot().

## plot time series of tweets
ts_plot(rt, "3 hours") +
  ggplot2::theme_minimal() +
  ggplot2::theme(plot.title = ggplot2::element_text(face = "bold")) +
    x = NULL, y = NULL,
    title = "Frequency of #rstats Twitter statuses from past 9 days",
    subtitle = "Twitter status (tweet) counts aggregated using three-hour intervals",
    caption = "\nSource: Data collected from Twitter's REST API via rtweet"

Twitter rate limits cap the number of search results returned to 18,000 every 15 minutes. To request more than that, simply set retryonratelimit = TRUE and rtweet will wait for rate limit resets for you.

## search for 250,000 tweets containing the word data
rt <- search_tweets(
  "data", n = 250000, retryonratelimit = TRUE

Search by geo-location—for example, find 10,000 tweets in the English language sent from the United States. Note: lookup_coords() requires users have a Google API key

## search for 10,000 tweets sent from the US
rt <- search_tweets(
  "lang:en", geocode = lookup_coords("usa"), n = 10000

## create lat/lng variables using all available tweet and profile geo-location data
rt <- lat_lng(rt)

## plot state boundaries
par(mar = c(0, 0, 0, 0))
maps::map("state", lwd = .25)

## plot lat and lng points onto state map
with(rt, points(lng, lat, pch = 20, cex = .75, col = rgb(0, .3, .7, .75)))

Stream tweets

Randomly sample (approximately 1%) from the live stream of all tweets.

## random sample for 30 seconds (default)
rt <- stream_tweets("")

Stream all geo enabled tweets from London for 60 seconds.

## stream tweets from london for 60 seconds
rt <- stream_tweets(lookup_coords("london, uk"), timeout = 60)

Stream all tweets mentioning realDonaldTrump or Trump for a week.

## stream london tweets for a week (60 secs x 60 mins * 24 hours *  7 days)
  timeout = 60 * 60 * 24 * 7,
  file_name = "tweetsabouttrump.json",
  parse = FALSE

## read in the data as a tidy tbl data frame
djt <- parse_stream("tweetsabouttrump.json")

Get friends

Retrieve a list of all the accounts a user follows.

## get user IDs of accounts followed by CNN
cnn_fds <- get_friends("cnn")

## lookup data on those accounts
cnn_fds_data <- lookup_users(cnn_fds$user_id)
Get followers

Retrieve a list of the accounts following a user.

## get user IDs of accounts following CNN
cnn_flw <- get_followers("cnn", n = 75000)

## lookup data on those accounts
cnn_flw_data <- lookup_users(cnn_flw$user_id)

Or if you really want ALL of their followers:

## how many total follows does cnn have?
cnn <- lookup_users("cnn")

## get them all (this would take a little over 5 days)
cnn_flw <- get_followers(
  "cnn", n = cnn$followers_count, retryonratelimit = TRUE

Get timelines

Get the most recent 3,200 tweets from cnn, BBCWorld, and foxnews.

## get user IDs of accounts followed by CNN
tmls <- get_timelines(c("cnn", "BBCWorld", "foxnews"), n = 3200)

## plot the frequency of tweets for each user over time
tmls %>%
  dplyr::filter(created_at > "2017-10-29") %>%
  dplyr::group_by(screen_name) %>%
  ts_plot("days", trim = 1L) +
  ggplot2::geom_point() +
  ggplot2::theme_minimal() +
    legend.title = ggplot2::element_blank(),
    legend.position = "bottom",
    plot.title = ggplot2::element_text(face = "bold")) +
    x = NULL, y = NULL,
    title = "Frequency of Twitter statuses posted by news organization",
    subtitle = "Twitter status (tweet) counts aggregated by day from October/November 2017",
    caption = "\nSource: Data collected from Twitter's REST API via rtweet"

Get favorites

Get the 3,000 most recently favorited statuses by JK Rowling.

jkr <- get_favorites("jk_rowling", n = 3000)

Search users

Search for 1,000 users with the rstats hashtag in their profile bios.

## search for users with #rstats in their profiles
usrs <- search_users("#rstats", n = 1000)

Discover what’s currently trending in San Francisco.

sf <- get_trends("san francisco")

Post actions

  • Posting (tweeting from R console) or reading direct messages require additional permissions
  • If you’d like to post Twitter statuses, follow or unfollow accounts, and/or read your direct messages, you’ll need to create your own Twitter app
  • To create your own Twitter app, follow the instructions in the authorization vignette on obtaining and using access tokens


Obtaining and using Twitter API tokens

## quick overview of rtweet functions
vignette("auth", package = "rtweet")

Quick overview of rtweet package

## quick overview of rtweet functions
vignette("intro", package = "rtweet")

Live streaming tweets data

## working with the stream
vignette("stream", package = "rtweet")

Troubleshooting common rtweet problems

## working with the stream
vignette("FAQ", package = "rtweet")


Communicating with Twitter’s APIs relies on an internet connection, which can sometimes be inconsistent. With that said, if you encounter an obvious bug for which there is not already an active issue, please create a new issue with all code used (preferably a reproducible example) on Github.

Functions in rtweet

Name Description
get_collections Get collections by user or status id.
get_favorites Get tweets data for statuses favorited by one or more target users.
get_retweeters Get user IDs of users who retweeted a given status.
get_retweets Get the most recent retweets of a specific Twitter status
lookup_coords Get coordinates of specified location.
lookup_friendships Lookup friendship information between two specified users.
post_list Manage Twitter lists
post_friendship Updates friendship notifications and retweet abilities.
rtweet-package rtweet: Collecting Twitter data
direct_messages_received (DEPRECATED) Get the most recent direct messages sent to the authenticating user.
do_call_rbind Binds list of data frames while preserving attribute (tweets or users) data.
get_friends Get user IDs of accounts followed by target user(s).
get_followers Get user IDs for accounts following target user.
search_tweets Get tweets data on statuses identified via search query.
langs Language codes recognized by Twitter data.
stream_tweets Collect a live stream of Twitter data.
suggested_users_all Get all user [account] suggestions for authenticating user
lat_lng Adds single-point latitude and longitude variables to tweets data.
write_as_csv Save Twitter data as a comma separated value file.
as_screenname Coerces user identifier(s) to be evaluated as a screen name(s).
bearer_token Bearer token
get_mentions Get mentions for the authenticating user.
post_favorite Favorites target status id.
get_my_timeline Get your timeline
post_follow Follows target twitter user.
post_message Posts direct message from user's Twitter account
emojis Emojis codes and descriptions data.
flatten flatten/unflatten data frame
get_trends Get Twitter trends data.
lists_users Get all lists a specified user subscribes to, including their own.
post_tweet Posts status update to user's Twitter account
tweet_shot Capture an image of a tweet/thread
invalidate_bearer Invalidate bearer token
tweets_data Extracts tweets data from users data object.
lists_members Get Twitter list members (users on a given list).
lists_statuses Get a timeline of tweets authored by members of a specified list.
parse_stream Converts Twitter stream data (JSON file) into parsed data frame.
plain_tweets Clean up character vector (tweets) to more of a plain text.
create_token Creating Twitter authorization token(s).
rate_limit Get rate limit data for given Twitter access tokens.
direct_messages Get direct messages sent to and received by the authenticating user from the past 30 days
lookup_collections Get collections by user or status id.
my_friendships Lookup friendship information between users.
read_twitter_csv Read comma separated value Twitter data.
ts_data Converts tweets data into time series-like data object.
next_cursor next_cursor/max_id
ts_plot Plots tweets data as a time series-like data object.
get_timeline Get one or more user timelines (tweets posted by target user(s)).
search_users Get users data on accounts identified via search query.
get_tokens Fetching Twitter authorization token(s).
tweets_with_users Parsing data into tweets/users data tibbles
stopwordslangs Twitter stop words in multiple languages data.
lists_subscribers Get subscribers of a specified list.
lists_subscriptions Get list subscriptions of a given user.
lookup_statuses Get tweets data for given statuses (status IDs).
lookup_users Get Twitter users data for given users (user IDs or screen names).
reexports Objects exported from other packages
round_time A generic function for rounding date and time values
users_data Extracts users data from tweets data object.
suggested_slugs Get user [account] suggestions for authenticating user
trends_available Available Twitter trends along with associated WOEID.
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Vignettes of rtweet

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Type Package
License MIT + file LICENSE
URL https://CRAN.R-project.org/package=rtweet
BugReports https://github.com/mkearney/rtweet/issues
Encoding UTF-8
VignetteBuilder knitr
LazyData yes
NeedsCompilation no
Packaged 2018-06-20 01:39:54 UTC; mwk
Repository CRAN
Date/Publication 2018-06-20 04:38:02 UTC

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