🇰🇷 Korean Data Portal Scraper

Collect comprehensive dataset information from South Korea's official government open data portal (data.go.kr). This scraper helps researchers, data analysts, and organizations discover and extract structured data from 50,000+ public datasets including weather records, economic data, census information, and more. Perfect for anyone building a data.go.kr scraper without coding, downloading government datasets as CSV, or monitoring new public data releases from Korean agencies.

The Korean Data Portal Scraper collects dataset metadata, file information, and organization details from data.go.kr with up to 20 data fields per dataset, and requires no authentication.

✨ What Does It Do

• 📝 Dataset Title - Extract official names and descriptions to identify relevant resources
• 🏢 Organization Name - Capture which Korean government agency published each dataset
• 📊 Dataset Type - Identify available data formats and whether data is downloadable or accessed online
• 🔗 Data Access Links - Retrieve direct links and documentation for accessing datasets without manual downloads
• 📥 Download URLs - Get file download links, formats, and file sizes for data export
• 👤 Contact Information - Find responsible agency contacts and license terms for data usage
• 📈 Usage Metrics - Track dataset popularity through view counts and download statistics
• 📅 Dates - Capture creation and update timestamps for the most recent releases
• 🏷️ Categories - Organize datasets by topic tags for research and analysis

🔧 Input

• Start URL Paste a direct URL from data.go.kr search results. Visit the portal, apply your filters, then copy the URL from your browser address bar
• Search Keyword Find datasets by title or description using terms like "weather", "population", or "economic"
• Dataset Type Filter by data format such as FILE (downloadable), or other formats available on the portal
• Recommendation Type Show only datasets recommended by the portal or include all datasets
• Max Items Limit how many datasets to collect. Free users: up to 100. Paid users: up to 1,000,000. Leave blank for unlimited
• Keyword Array Advanced search using comma-separated keywords for multi-term queries

Example input:

{
  "keyword": "weather",
  "svcType": "FILE",
  "maxItems": 50
}

📊 Output

Each dataset includes up to 20 data fields. Download as JSON, CSV, or Excel.

📝 Dataset ID	📝 Dataset Title	🏢 Organization
📋 Description	📊 Dataset Type	📅 Created Date
📅 Last Updated	📈 View Count	📈 Download Count
🏷️ Categories	🏷️ Tags	🔗 Dataset URL
📥 Download URL	💾 File Format	📦 File Size
🔗 Data Access Link	📖 Documentation	👤 Contact Info
⚖️ License Info	🕐 Scraped Timestamp	⚠️ Error Details

💎 Why Choose the Korean Data Portal Scraper?

Feature	Our Actor	Similar Scrapers
Collects all 20 dataset metadata fields	✔️	Partial
Supports direct URL search or keyword/type filtering	✔️	❌
Extracts data access links and documentation	✔️	❌
Includes file size, format, and download links	✔️	❌
Captures organization contact and license info	✔️	Partial
Works with multiple data types and formats	✔️	❌
Fetches real-time view and download counts	✔️	❌
Parallel batch processing for speed	✔️	❌
No authentication required	✔️	✔️
Export to JSON, CSV, or Excel	✔️	✔️
Paid plan: up to 1,000,000 datasets	✔️	❌

📋 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 "Korean Data Portal Scraper" 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 Researcher - Search for government datasets by keyword to identify agencies publishing relevant data and assess quality through view counts
• 💼 Government Analyst - Monitor new dataset releases from health and economic agencies to inform quarterly policy reviews
• 🔍 Data Analyst - Evaluate which public data sources can be integrated into internal analytics pipelines by collecting access details from 100+ datasets

❓ FAQ

🔍 How does this scraper work? The actor visits data.go.kr, searches or browses datasets using your filters, and extracts structured metadata including titles, descriptions, data access links, and organization details.

📊 Is the data accurate? Yes. The scraper collects real-time data directly from data.go.kr, including current view counts and download statistics.

📅 Can I schedule this to run automatically? Yes. Set up recurring runs using Apify scheduling to collect new datasets daily, weekly, or monthly.

⚖️ Is it legal to scrape data.go.kr? Yes. data.go.kr is a public government data portal designed for open access. You are responsible for complying with local Korean laws and the portal's terms of service.

🛡️ Will data.go.kr block me? Unlikely. The scraper uses respectful rate limiting to avoid overloading the portal. Review the portal's robots.txt and terms before large-scale collection.

⚡ How long does a run take? Typically 5-30 seconds for 50 datasets, depending on network speed and how many details need to be fetched.

⚠️ 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 Korean Data Portal Scraper 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 and is not affiliated with, endorsed by, or sponsored by data.go.kr or the South Korean government. All trademarks mentioned are the property of their respective owners.