IScraper is a powerful web scraping tool designed to extract data from websites efficiently and effectively.
Enhance your data collection capabilities with AI agents that can automatically gather, process, and act on web data in real-time.
IScraper excels at automated data extraction from websites at scale. Relevance AI transforms this raw data into intelligent insights through AI agents that can analyze, monitor, and take action based on real-time web data.
Dynamic Data Orchestration
The agent can seamlessly schedule and execute data extraction tasks, ensuring timely access to critical information.
Real-time Insight Generation
With continuous data monitoring, the agent provides instant alerts on market changes, enhancing decision-making speed.
Cost-effective Data Solutions
By automating data processes, the agent significantly reduces labor costs associated with manual data collection.
Relevance AI gives you access to IScraper's powerful web scraping capabilities within your AI agent workflows.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- A Relevance AI account
- An Airtable account with access to the base and table you'd like to use
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
The integration leverages secure OAuth authentication through iScraper's API, enabling authorized data scraping and extraction workflows. Relevance AI manages the API operations seamlessly, handling request methods and response formatting automatically.
Built-in validation ensures reliable data extraction across varying website structures and content types.
No training on your data
Your data remains private and is never utilized for model training purposes.
Security first
We never store anything we don’t need to. The inputs or outputs of your tools are never stored.
Best Practices for Non-Technical Users
To get the most out of the iScraper + Relevance AI integration without writing code:
- Configure API endpoints properly: Use correct paths and methods for your scraping needs.
- Optimize request headers: Set appropriate user agents and authentication parameters.
- Handle rate limiting: Space out requests and implement proper retry mechanisms.
- Validate data structure: Ensure scraped data matches Relevance AI's expected format.
- Monitor performance: Track API response times and success rates for reliable data collection.
