5 Real Ways to Recover Lost MongoDB Website Data Without Backup

How I Recovered Lost MongoDB Data Without Backup Using Node.js and Puppeteer

Let me confess something painful:
I once deleted my entire MongoDB database. On a live project.

Yep — all my blog posts, user data, and analytics — gone in the blink of an overly confident db.dropDatabase() command.

If you’re reading this because you just nuked your MongoDB too… take a deep breath. I’ve been there. It’s not fun, but it’s recoverable (sort of).

The Great MongoDB Disaster

It all started when I was “cleaning up” my collections.
One wrong database selection later — boom.
Empty.

I opened MongoDB Atlas — no snapshots.
Checked my /data/db folder — nothing.
My dynamic sitemap? Of course it was also stored in MongoDB.

I basically deleted my site and the map to find it again.

At that moment, I considered a career in gardening.

My “Wait, I Can Fix This” Moment

After 10 minutes of staring blankly at my screen (and one cup of panic coffee), I remembered:

👉 Google Search Console still had my site’s URLs!

Each indexed URL was like a breadcrumb from my old website.
So I thought — what if I re-scraped all my posts from Google’s cached pages or any live mirrors that still existed?

That became my insane-but-successful recovery plan.

Step-by-Step: How I Recovered MongoDB Data Without Backup

Here’s how you can try it too if you ever lose your MongoDB data.

1. Export URLs from Google Search Console

  • Go to Search Console → Pages → Indexed Pages.

  • Export the list as a CSV or Excel file.

  • Clean it up — keep only the URLs you need to rebuild.

You can also grab URLs from Google Search like this:

site:yourdomain.com

Copy those links manually or scrape them (more on that next ).

2. Scrape Page Content Using Node.js + Puppeteer

Once you’ve got your URLs, you can use Puppeteer (a headless Chrome library for Node.js) to scrape and rebuild your data.

Here’s a simple script I wrote during my caffeine-fueled recovery mission:

// scrape.js
import fs from "fs";
import puppeteer from "puppeteer";

async function scrapeUrls(urls) {
  const browser = await puppeteer.launch({ headless: true });
  const page = await browser.newPage();

  const results = [];

  for (const url of urls) {
    try {
      console.log(`Scraping: ${url}`);
      await page.goto(url, { waitUntil: "domcontentloaded", timeout: 60000 });

      const title = await page.$eval("h1", el => el.textContent.trim());
      const content = await page.$eval("article", el => el.innerHTML.trim());
      const date = await page.$eval("time", el => el.getAttribute("datetime") || "unknown");

      results.push({ title, content, date, url });
    } catch (err) {
      console.error(`Failed to scrape ${url}:`, err.message);
    }
  }

  await browser.close();

  // Save the results to a JSON file
  fs.writeFileSync("recoveredData.json", JSON.stringify(results, null, 2));
  console.log("✅ Scraping complete! Data saved to recoveredData.json");
}

const urls = [
  "https://yourwebsite.com/post1",
  "https://yourwebsite.com/post2",
  // ...add all your URLs here
];

scrapeUrls(urls);

 **What this does:**

  • Opens each URL in a headless browser

  • Extracts your post title, content, and publish date

  • Saves everything as structured JSON (ready to re-import into MongoDB)

3. Rebuild Your MongoDB Collection

Once you’ve got your recovered JSON file, just feed it back into your MongoDB:

// restore.js
import { MongoClient } from "mongodb";
import fs from "fs";

const MONGO_URI = "mongodb+srv://<your-connection-string>";
const client = new MongoClient(MONGO_URI);

async function restoreData() {
  const data = JSON.parse(fs.readFileSync("recoveredData.json", "utf-8"));
  await client.connect();
  const db = client.db("yourdbname");
  const collection = db.collection("posts");

  await collection.insertMany(data);
  console.log(`✅ Inserted ${data.length} documents successfully!`);

  await client.close();
}

restoreData().catch(console.error);

This script reads the JSON file created by Puppeteer and inserts it into your MongoDB collection.

And just like that — your content lives again!

Bonus Recovery Tips

✅ Check MongoDB’s Local Data Folder

If MongoDB was running locally, look inside /data/db.
Sometimes data files (.wt, .ns) can still be repaired using:

mongod --repair --dbpath /data/db

✅ Use mongorestore If You Ever Did a mongodump

If you’ve got any old .bson files, restore them with:

mongorestore --db yourdb path/to/dump

✅ Try Atlas Snapshots (if you’re lucky)

MongoDB Atlas offers automatic continuous backups on higher tiers.
Go to Backups → Snapshots in your cluster — you might have one waiting.

✅ Use Wayback Machine or Google Cache

Search:

cache:yourdomain.com/blog-post

or check archive.org/web to retrieve snapshots.

Recovery Tools That Might Help

If you’re dealing with corrupted files, try:

  • Kernel for MongoDB Recovery

  • Stellar Repair for MongoDB

  • EaseUS Data Recovery

They can sometimes extract raw BSON data even from broken .wt files.

What I Learned (The Hard Way)

After that fiasco, I started automating backups:

mongodump --uri="your_connection_string" --out=/backups/$(date +%F)

Then set it to run daily with a cron job.

Now my backups are safer than my lunch leftovers.

Moral of the Story

  • Never run MongoDB commands without backups.

  • Google Search Console is your unexpected hero.

  • Puppeteer can become your best friend in digital archaeology.

  • And most importantly — always test your commands on staging first.

Find it useful also read how to remove trailing slash error

Final Thoughts

Losing a database feels like watching your digital life flash before your eyes.
But if you think creatively — scraping, caching, or even Google indexing — you can rebuild almost anything.

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