💾 PostgreSQL Database Extractor

Extract your entire PostgreSQL database without coding. Whether you need to back up critical data, migrate to a new system, or analyze tables for compliance, this tool exports all tables with complete flexibility. Connect via a single string or individual parameters, filter which tables to include, and get your data as JSON, CSV, or Excel. No setup required, no database knowledge needed.

The PostgreSQL Database Extractor collects all your database tables as structured datasets. Extract unlimited columns and rows per table with no coding required.

✨ What Does It Do

• 📊 Table List - Discover all available tables in your database with row and column counts to plan your extraction
• 📄 Table Data - Export complete row data from each table with all column types preserved for downstream analysis
• 📅 Extraction Timestamp - Track when each table was extracted for audit trails and data freshness verification
• 🔢 Row Count - Get accurate counts of rows per table to estimate export size and validate completeness
• 🏗️ Schema Information - Understand table structure with column names, data types, and positions for ETL pipelines
• 🔗 Dataset URLs - Access pre-generated links to your extracted data for easy sharing and documentation

🔧 Input

• Connection String (Optional) - Paste your full PostgreSQL connection string (e.g., postgresql://user:password@host:port/database) to skip individual parameters
• Host - The IP address or hostname of your PostgreSQL server (e.g., db.example.com or 192.168.1.1)
• Port - The port PostgreSQL listens on, typically 5432
• Database - The name of the database to connect to
• Username - Your PostgreSQL user account with appropriate table access permissions
• Password - Your PostgreSQL password for secure authentication
• Use SSL - Enable encrypted connection for cloud databases (required by most managed services)
• Tables to Extract (Optional) - Specify exact table names to extract only those (e.g., ['public.users', 'public.orders']). Leave empty to extract all
• Tables to Exclude (Optional) - Blacklist specific tables you don't need (e.g., ['public.logs', 'public.temp_data'])
• Max Rows Per Table (Optional) - Limit the number of rows extracted from each table for faster processing

Example input:

{
  "host": "db.example.com",
  "port": 5432,
  "database": "production",
  "username": "extractor_user",
  "password": "your-secure-password",
  "ssl": true,
  "tables": ["public.customers", "public.orders"],
  "maxRowsPerTable": 50000
}

📊 Output

Each database extraction includes table metadata and row data. Download as JSON, CSV, or Excel.

📋 Table Name	📊 Row Count	🏗️ Schema Name
🔢 Column Count	📝 Column Names	🔄 Column Data Types
📅 Extraction Date	🆔 Column Positions	🔗 Dataset URL

💎 Why Choose the PostgreSQL Database Extractor?

Feature	Our Actor	Similar Tools
No coding required	✔️	❌
Connection string or individual parameters	✔️	Partial
Filter by specific tables	✔️	❌
Exclude tables by name	✔️	❌
Row limits per table	✔️	❌
Batch processing for memory efficiency	✔️	❌
Real-time extraction timestamps	✔️	❌
Separate datasets per table	✔️	❌
Column metadata and types included	✔️	Partial
Free tier with $5 credit	✔️	❌
Handles large databases efficiently	✔️	Partial
CSV, JSON, and Excel export	✔️	✔️

📋 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 "PostgreSQL Database Extractor" in the Apify Store and configure your database connection details
3. Run It: Click "Start" and watch your tables extract into datasets

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

🎯 Business Use Cases

• 📊 Data Analyst - Extract sales tables weekly to track revenue trends and customer growth in your BI platform
• 💼 Database Administrator - Backup production tables for disaster recovery and maintain historical extracts for compliance
• 🔬 Data Engineer - Export database tables to cloud storage and feed them into your ETL pipeline

❓ FAQ

🔍 How does this actor work? It connects to your PostgreSQL database using the credentials you provide, discovers all tables, and exports their row data and schema information into Apify datasets.

📊 Is the extracted data accurate? Yes, all data is streamed directly from PostgreSQL and processed in batches. Column types and values are preserved exactly as they exist in your database.

📅 Can I schedule automatic extractions? Yes, you can set up scheduled runs in Apify to extract your database on a daily, weekly, or monthly basis for ongoing backups or syncing.

⚖️ Is it legal to extract my own database? Yes, you are extracting data from your own database that you control. You are responsible for ensuring you have proper authorization to access and export your data.

🛡️ Will my database block the extraction? No, as long as your PostgreSQL credentials are valid and the user has the necessary table permissions, the extraction will proceed normally.

⚡ How long does a database extraction take? It depends on your database size and network speed. A database with 100 tables and 1 million rows typically takes 2-5 minutes. Larger databases may take longer.

⚠️ Are there any limits? Free users can extract up to 100 rows per table. Paid users can extract up to 1,000,000 rows per table and access unlimited tables.

🔗 Integrate PostgreSQL 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 extract your first 100 rows per table 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.