steph.js

// Name: shoes

import "@johnlindquist/kit";

let Jimp = await npm("jimp")

let text = await editor(`
## Enter a url per line
## Hit cmd+s to "continue"

https://grotemaatschoenen.nl/jana-2230-20-154.html

`.trim())

let urls = text.split("\n").filter(line => line.startsWith("http"))

setDescription(`Set download folder`)
//let folderPath = await path();
let folderPath = await selectFolder();


// If there are no more prompts, clear prompt
setChoices(null)
setInput(``)
setPlaceholder(`🙏 Please hold`)
setIgnoreBlur(true) //Prevents losing focus from terminating the process

let dots = ``
let id = setInterval(()=> {
  dots = dots === "..."  ? "." : dots + "."
  setHint(`Scraping${dots}`)
}, 250)


for await (let url of urls){  
  // Destructure for first, get `src`, alias as imageUrl :)
  setDescription(url)
  let [{src:imageUrl}] = await scrapeSelector(
    url,
    ".fotorama__active > .fotorama__img", //adding the >
    el => ({
      src: el.src,
    })
  );

  // `download` is part of the API: https://www.npmjs.com/package/download
  await download(
    imageUrl,
    folderPath,
  )
  .catch(error => {
    console.log(error)
  })

  let imagePath = path.resolve(folderPath, path.basename(imageUrl))

  // // Create a path for image with selected folder path.
  let ext = path.extname(imageUrl)
  let resizedImageName = imagePath.replace(new RegExp(`${ext}$`), `-resized${ext}`)

  // Resize image and save to taget folder.
  let image = await Jimp.read(imagePath)

  await image.resize(300, 225).write(resizedImageName)
}

await exec(`open ${folderPath}`)
clearInterval(id)