Rate limit handling?

[henriklied]

I see that rtweet supports a parameter called retryonratelimit, but I cannot find this parameter in the botrnot package. I have a list of about 1 million user IDs to classify, so I need rate limiting handled properly.

Any suggestions?

[Kudusch]

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

[yongleZ]

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

[brainprint]

Same problem here.

[Hawkeye407]

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

[uluturki]

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)

[victorgois]

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), ]

[kuyaKS]

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