Rate limit handling? about tweetbotornot HOT 7 OPEN

You can call the classifier function as follows to have retryonratelimit functionality (slightly modified from the readme):

## get most recent 100 tweets from each user
tmls <- get_timelines(users, n = 100, retryonratelimit = TRUE)

## pass the returned data to botornot()
data <- botornot(tmls)

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I'm interested in this as well. Passing rtweets retryonratelimit to botrnot would be a great start.

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Hi, have you fixed this issue yet? I came into the same problem and need some help.

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Same problem here.

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Same problem... retryonratelimit will be very handy...

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You can call the classifier function as follows to have retryonratelimit functionality (slightly modified from the readme):

## get most recent 100 tweets from each user
tmls <- get_timelines(users, n = 100, retryonratelimit = TRUE)

## pass the returned data to botornot()
data <- botornot(tmls)

How this works?

I am trying to parse a list of 70k "rows" and all I get is 'Warning: Rate limit exceeded - 88'

I am also having problems when I pass my list through parameter in the botornot(). It does not accept list as parameters. I just gave up to pass all the database manually as parameter.

My code trying to pass a list as parameter

## load package
library(tweetbotornot)
library(rtweet)
library(reticulate)

users <- c(py_run_file("script.py"))
#vector <- unlist(users)
users <- c(users)
**#  method not applicable to 'botornot' applied to a class object "list"**
data <- botornot(users)

data[order(data$prob_bot), ]

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I'm having the same problem. Is there already an update on how to handle rate limits in order to test thousands of usernames?

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