Extracting data from Twitter for @hrbrmstr’s #nom foodie images

Bob Rudis (@hrbrmstr) is a famed expert, author and developer in Data Security and the Chief Security Data Scientist at Rapid7. Bob also creates the most deliciously vivid images of his meals documented by the #nom hashtag. I’m going to use a similar method used in my previous projects (Hipster Veggies & Machine Learning Flashcards) to wrangle all those images into a nice collection – mostly for me to look at for inspiration in recipe planning.

Yum! Have you ever thought about collecting all these recipes & images into a cookbook?!

— Jasmine Dumas (@jasdumas) January 15, 2018

Source Repository: jasdumas/bobs-noms

Analysis

library(rtweet) # devtools::install_github("mkearney/rtweet")
library(tidyverse)
library(dplyr)
library(stringr)
library(magick)
library(knitr)
library(kableExtra)

# get all of bob's recent tweets
bobs_tweets <- get_timeline(user = "hrbrmstr", n = 3200)

#filter noms with images only
bobs_noms <- 
  bobs_tweets %>% dplyr::filter(str_detect(hashtags, "nom"), !is.na(media_url))

bobs_noms$clean_text <- bobs_noms$text
bobs_noms$clean_text <- str_replace(bobs_noms$clean_text,"#[a-zA-Z0-9]{1,}", "") # remove the hashtag
bobs_noms$clean_text <- str_replace(bobs_noms$clean_text, " ?(f|ht)(tp)(s?)(://)(.*)[.|/](.*)", "") # remove the url link
bobs_noms$clean_text <- str_replace(bobs_noms$clean_text, "[[:punct:]]", "") # remove punctuation

# let's look at these images in a smaller data set
bobs_noms_small <- bobs_noms %>% select(created_at, clean_text, media_url)

bobs_noms_small$img_md <- paste0("![", bobs_noms_small$clean_text, "](", bobs_noms_small$media_url, ")")

data.frame(images = bobs_noms_small$img_md) %>% 
kable( format = "markdown") %>%
  kable_styling(full_width = F, position = 'center') 

|images | |:———————————————————————————————————————————————————-| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |

# create a function to save these images!
save_image <- function(df){
  for (i in c(1:nrow(df))){
    image <- try(image_read(df$media_url[[i]]), silent = F)
  if(class(image)[1] != "try-error"){
    image %>%
      image_scale("1200x700") %>%
      image_write(paste0("../post_data/data/", bobs_noms$clean_text[i],".jpg"))
  }
 
  }
   cat("saved images...\n")
}

save_image(bobs_noms)

## saved images...