Reliable data extraction. Clean datasets. Simple automation.

Data Hub builds production-ready Apify Actors for collecting, processing, and delivering structured data from public web sources.

Our goal is simple: turn complex websites and repetitive data collection tasks into easy-to-use data products.

• 🌐 Web scraping and data extraction
• ⚙️ Automated data collection workflows
• 📊 Structured datasets
• 🔌 API-ready data pipelines
• 🧹 Data cleaning and normalization
• 🔄 Scheduled and repeatable scraping
• 📁 JSON, CSV, and other structured outputs

Data Hub Actors are designed with a focus on:

• Clean output — structured and consistent datasets
• Easy configuration — simple inputs with sensible defaults
• Scalability — suitable for small requests and larger data collection jobs
• Performance — efficient concurrent processing where appropriate
• Automation — Actors can be scheduled or integrated into external workflows
• Maintainability — tools are designed to adapt as source websites evolve

Data generated by Data Hub Actors can be used with:

• REST APIs
• Python applications
• Data pipelines
• Databases
• BI and analytics tools
• AI applications
• Automation platforms
• Scheduled workflows

Data Hub focuses on building specialized data products across areas such as:

• 🏀 Sports statistics
• 📈 Analytics datasets
• 🏢 Business data
• 🔍 Public web data
• 🤖 Data automation tools

New Actors and additional datasets will continue to be added.

1. Configure the Actor input
2. Start the Actor
3. Data is collected and processed
4. Receive clean structured results
5. Export or integrate the dataset into your workflow