Scalable Research Data Integration | Rayyan API for Enterprise
Extend Rayyan beyond the interface
Use the API and Python SDK to access, automate, and integrate your review data into external systems.
The Industry Challenge
- Limits scalability when working with large datasets
- Increases the likelihood of human error
- Creates friction for teams handling high-volume data
- Complicates integration with broader data pipelines and systems
How API Access Solves This
- Provides programmatic access to review data via API
- Enables automation of repetitive workflows
- Supports integration with external systems and tools
- Allows teams to scale processes efficiently and consistently
Capabilities
1 Programmatic Data Access
Retrieve structured review data directly
Access reviews, references, decisions, and metadata programmatically, enabling direct interaction with your review data.
2 Python SDK
Simplify integration and automation
Use the official Rayyan Python SDK to handle authentication and API requests, making it easier to build scripts and workflows.
3 Workflow Automation
Reduce repetitive manual tasks
Automate sending and retrieving data, updates, and processing to streamline review workflows and reduce operational overhead.
4 System Integration
Connect Rayyan with your existing tools
Integrate with analytics platforms, databases, and internal systems to extend the use of your review data.
5 Scalable Data Processing
Handle large and complex datasets efficiently
Batch process data to support high-volume and enterprise-level workflows.