https://github.com/pythoncoderunicorn/rtweet-tutorial
Beginner intro to the R package rtweet for scraping the Twitter API for tweets
https://github.com/pythoncoderunicorn/rtweet-tutorial
rtweet tutorial twitter-api twitter-bot
Last synced: 5 months ago
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Beginner intro to the R package rtweet for scraping the Twitter API for tweets
- Host: GitHub
- URL: https://github.com/pythoncoderunicorn/rtweet-tutorial
- Owner: PythonCoderUnicorn
- Created: 2021-09-03T19:52:22.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2022-02-09T18:27:37.000Z (almost 4 years ago)
- Last Synced: 2025-01-17T20:24:16.422Z (11 months ago)
- Topics: rtweet, tutorial, twitter-api, twitter-bot
- Language: HTML
- Homepage: https://pythoncoderunicorn.github.io/rtweet-tutorial/#1
- Size: 46 MB
- Stars: 2
- Watchers: 1
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# rtweet tutorial
Beginner intro to the R package rtweet for scraping the Twitter API for tweets
## RLadies Coventry meetup
- January 26, 2022
- [the RLadies meetup description](https://www.meetup.com/rladies-coventry/events/282268890/?rv=me1&_xtd=gatlbWFpbF9jbGlja9oAJGNhZTNiMGNkLTk0Y2UtNDM2Yy1iOTJkLWQwNjI3ODI1YTEwOA&_af=event&_af_eid=282268890)
- the Twitter datasets have been removed on Jan 27, 2022.
The link to my rtweet guide is [here](https://rtweetguide.netlify.app) which was the `learnr` file documentation/
## Quick rtweet guide
Here are some of the functions for getting started.
### Libraries
```
library(rtweet)
library(tidytext) # text analysis and cleaning
library(ggplot2) # plot your data
```
### Search Twitter
Give your search functions variables, avoid **rate limit** errors.
Maximum amount of tweets is 18,000 in a single API request and returns
tweets <= 9 days old.
```
searched_tweets = search_tweets(
"rstats OR RStats", # the #hashtag or phrase you want to search
n = 4000, # number of tweets to capture
type = "recent", # recent | mixed | popular
include_rts = FALSE, # no retweets
verbose = TRUE,
retryonratelimit = FALSE, # set to true if you want it to run again
lang = "en" # English language tweets
)
```
### Save your Tweets
Saving your Tweets keeps you safe from **rate limit** errors.
```
save_as_csv(
searched_tweets, # the name of your Twitter dataframe
file_name = "new_twitter_df_name",
prepend_ids = TRUE,
na = " ",
fileEncoding = "UTF-8"
)
```
### Read in your Twitter dataframe
```
twitter_df = read_twitter_csv(file = "", unflatten= FALSE)
```