finding most common senders in gmail - apps script

appsscript.json

{
  "timeZone": "America/New_York",
  "oauthScopes": [
    "https://www.googleapis.com/auth/gmail.addons.execute",
    "https://www.googleapis.com/auth/gmail.readonly"
  ],
  "gmail": {
    "name": "find common gmail senders",
    "logoUrl": "https://www.gstatic.com/images/icons/material/system/1x/receipt_black_24dp.png",
    "primaryColor": "#41f470",
    "secondaryColor": "#94f441"
  },
  "exceptionLogging": "STACKDRIVER",
  "runtimeVersion": "V8"
}

Code.gs

// this is pretty quick and rough.. but it works
// script.google.com
// settings to allow editing the appscript.json
// set these two files
// then hit Run with function 'run'


const all = {};

function run() {
  collect();
  const commonsenders = Object.entries(all).sort((a, b) => b[1] - a[1]).filter(ent => ent[1] > 1);
  commonsenders.forEach(sender => {
    console.log(sender.join(':'));
  });
}

function collect() {
  for (const start of [0, 500, 1000, 1500, 2000])
  for (const thread of threads = GmailApp.getInboxThreads(start, 500)) {
    const msgs = thread.getMessages();
    const msg = msgs[0];
    const from = msg.getFrom();
    all[from] = all[from] || 0;
    all[from]++;
  }
}

Thank you so much for this!

I created a video tutorial about NodeJS method to find frequency of senders, receivers and more. The NodeJS method is much easier, much faster and more reliable than Apps Script method. NodeJS method can analyze 200,000 mails in about 30 minutes.

https://www.youtube.com/watch?v=KKU84ogffeM

@leodevbro sweet! Appreciate the comment. I will be returning to this at some point, and your mbox popularity script will probably be very useful. :)

I'm envisioning something that allows me to clean up my inbox.. Clustering messages from similar senders, and letting me archive them all with one button click. The second part will almost definitely be apps script, but using output from the mbox package seems fine.

Yeah, Apps Script is more comfortable than NodeJS terminal, but Apps Script is very limited by Google, it runs too slowly in Google system, it has daily data limit, execution time limit and so on. So, I guess MBOX file and NodeJS seems optimal solution to analyze large mailbox.