🗄️ MongoDB Database Extractor

Connect to your MongoDB database and extract entire collections into Apify datasets. No coding required. Collect data from one collection or your entire database, apply filters to exclude unwanted data, and download results in CSV, Excel, or JSON format.

The MongoDB Database Extractor connects to any MongoDB instance and exports collection data into Apify storage with up to 1,000,000 documents per run - no coding or technical setup required.

✨ What Does It Do

• 📊 Database Connection - Connect securely using connection strings, authentication parameters, or MongoDB Atlas credentials
• 🔄 Collection Selection - Extract specific collections by name or exclude unwanted ones with simple list filtering
• 📈 Document Limits - Set maximum documents per collection to control extraction scope and costs
• 📁 Multi-Dataset Export - Each collection gets its own dataset for organized, downloadable results
• 📋 Automatic Schema Detection - Displays field names and types for every collection in your overview report
• 💾 Batch Processing - Handles large collections efficiently with automatic batch streaming in 100-document chunks

🔧 Input

• Connection String - Paste your MongoDB connection URL (mongodb:// or mongodb+srv://) to skip individual parameters
• Host - MongoDB server hostname or IP address where your database is running
• Port - TCP port number for MongoDB (default: 27017)
• Database - Name of the database to connect to (required)
• Username - User account for authentication (leave blank if no auth is enabled)
• Password - Password for the account
• Authentication Database - Database containing your user account (usually 'admin')
• Use SSL - Enable for secure connections to cloud databases like MongoDB Atlas
• Collections to Extract - Leave blank to extract all collections, or list specific ones to limit the scope
• Collections to Exclude - Specify collections to skip (useful for logs or temporary data)
• Max Documents Per Collection - Set a limit on the number of documents extracted from each collection (e.g., 100 for quick tests)

Example input:

{
  "connectionString": "mongodb+srv://user:password@cluster.mongodb.net/mydb?retryWrites=true&w=majority",
  "database": "mydb",
  "collections": ["users", "orders"],
  "maxDocumentsPerCollection": 1000
}

📊 Output

Each extraction produces summary records with up to 7 data fields. Download as JSON, CSV, or Excel.

🗂️ Collection Name	🗄️ Database Name	📅 Extraction Date
📊 Document Count	📋 Schema Fields	🔗 Dataset Name

Each collection's data is also saved to its own dataset within Apify, making it easy to access and download individual collection exports.

💎 Why Choose the MongoDB Database Extractor?

Feature	Our Actor	Similar Tools
Connect using connection strings	✔️	❌
MongoDB Atlas support (mongodb+srv://)	✔️	❌
Collection-level filtering (include/exclude)	✔️	Partial
Document limit per collection	✔️	❌
Automatic schema detection	✔️	❌
Multi-dataset export (one per collection)	✔️	❌
Batch streaming for large collections	✔️	❌
SSL/secure connections	✔️	✔️
Free tier with 100 documents	✔️	❌
Paid tier up to 1,000,000 documents	✔️	❌
No authentication required option	✔️	❌
Per-event charging model	✔️	❌

📋 How to Use

No technical skills required. Follow these simple steps:

1. Sign Up: Create a free account with $5 credit
2. Find the Tool: Search for "MongoDB Database Extractor" in the Apify Store and configure your input
3. Run It: Click "Start" and watch your results appear

That's it. No coding, no setup, no complicated configuration. Now you can export your data in CSV, Excel, or JSON format.

🎯 Business Use Cases

• 📊 Data Analyst - Extract customer data monthly to analyze trends and segment users for business intelligence reporting
• 💼 Database Administrator - Back up collection data to external storage for disaster recovery and audit compliance
• 🔄 Integration Developer - Export MongoDB collections on-demand to feed data pipelines and ETL workflows

❓ FAQ

🔍 How does it work? It connects to your MongoDB database using the credentials you provide, retrieves all documents from your selected collections, and saves them to Apify datasets. Each collection gets its own dataset for easy download.

📊 How accurate is the extracted data? The data is exactly as stored in your MongoDB database. The tool reads documents without modification, preserving all field names, types, and values including nested objects and arrays.

📅 Can I schedule extractions to run on a schedule? Yes. Use the Apify platform's scheduler to run this actor daily, weekly, or at any interval you choose.

⚖️ Is it legal to extract my own database? Absolutely. You are extracting data from your own MongoDB database. You own the data and can export it whenever you need.

🛡️ Will my database block me? No. This tool connects using standard MongoDB drivers from your own network or the Apify platform. There is no risk of blocking.

⚡ How long does a run take? Time depends on your collection size and network speed. Extracting 1,000 documents typically takes 10-30 seconds. Large databases with millions of documents may take several minutes.

⚠️ Are there any limits? Free users can collect up to 100 results per run. Paid users can collect up to 1,000,000 results per run.

🔗 Integrate MongoDB Database Extractor with any app

• Make - Automate workflows
• Zapier - Connect 5000+ apps
• GitHub - Version control integration
• Slack - Get notifications
• Airbyte - Data pipelines
• Google Drive - Export to spreadsheets

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Browse our complete collection of data extraction tools for more.

🚀 Ready to Start?

Create a free account with $5 credit and collect your first 100 results for free. No coding, no setup.

🆘 Need Help?

• Check the FAQ section above for common questions
• Visit the Apify support page for documentation and tutorials
• Contact us to request a new scraper, propose a custom project, or report an issue at Tally contact form

⚠️ Disclaimer

This Actor is an independent tool provided as-is. Users are responsible for complying with applicable laws and terms of service when processing data. All trademarks mentioned are the property of their respective owners.