Doubt on retryonratelimit

[rain1234]

Hi,
I am trying to put the followers of 45 accounts in a data fame using the following code:
followers <- map_df(account_name, ~ get_followers(.x, n = 50000, retryonratelimit = TRUE) %>% mutate(account = .x))
Can someone please tell me how long it takes for R to collect the results?
Thank you!

[andresrcs]

@rain1234

followers <- map_df(account_name, ~ get_followers(.x, n = 50000, retryonratelimit = TRUE) %>% mutate(account = .x))

Hi, welcome,

This function is not part of base R, you must be using some package but we can't know for sure which one. Could you ask this with a minimal REPRoducible EXample (reprex)? A reprex makes it much easier for others to understand your issue and figure out how to help.

If you've never heard of a reprex before, you might want to start by reading this FAQ:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…

[rain1234]

Hi,
Thank you for your reply.

Here is the coding
nodes <- read.csv("ussenators_nodes.csv", header = TRUE, as.is = TRUE)
links <- read.csv("ussenators_edges.csv", header = TRUE, as.is = TRUE)
head(nodes)
head(links)
fulldata <- merge(nodes, links)
install.packages("igraph")
require(igraph)
library(rtweet)
library(tidyverse)
library(UpSetR)
install.packages("UpSetR")
nodes$Twitter_handle
account_name <- nodes$Twitter_handle
followers <- map_df(account_name, ~ get_followers(.x, n = 1000, retryonratelimit = TRUE) %>% mutate(account = .x))
head(followers)

nodes contains the twitter account names of the 45 US senators, Republican or Democrat and gender.

Thank you again

[andresrcs]

@rain1234

get_followers(.x, n = 50000, retryonratelimit = TRUE)

Well, you are asking for 50,000 folowers for each one of the 45 accounts, this would end up on 2,250,000 folowers and, accordingly to the documentation of rtweet, you only can get 75,000 every 15 minutes,so, if my calculations are correct, this would take like around 7.5 hours, although I can't be sure because I don't know what is the behaviour of the API when querying different accounts.

https://rtweet.info/reference/get_followers.html