I am wondering which is the most efficient way to read from 55 folders with 1, 2 or 3 files json...

[![enter image description here](https://i.stack.imgur.com/070dE.png)](https://i.stack.imgur.com/070dE.png)

For now, I am opening each folder, changing the name, putting in the same folder that I am using in R, and reading them, and at the very end concat all the files, but I am completely sure that there is a better way

I want to know if there any chance to say to R Studio:

1. Read this folder with the name starting in 2018-10-27 and finish in 2018-12-20
2. Read each of the files inside using `parseTweets`
3. concat each file with the previous one

For now my provisional solution:

```
 install.packages("streamR")
 library(streamR)

 #reading file

 tweets.df.31 <- parseTweets("10_31_0_raw.json")
 tweets.df.30 <- parseTweets("10_30_0_raw.json")
 tweets.df.29 <- parseTweets("10_29_0_raw.json")
 tweets.df.28 <- parseTweets("10_28_0_raw.json")

 #concat multiple files

 new <- rbind(tweets.df.31, tweets.df.30,tweets.df.29,tweets.df.28)

```

Thank you!