Scraptio is a powerful web scraping platform that allows developers to extract structured data from websites effortlessly. By integrating with Relevance AI, you can transform this data into actionable insights and automate complex workflows.
Scraptio provides robust web scraping capabilities through a simple API, while Relevance AI empowers you to process and analyze that data intelligently with AI Agents. Together, they enable dynamic data-driven decision-making.
Real-Time Data Mastery
Empowers AI agents with instant access to live web data for up-to-the-minute insights and decision-making
Pattern Recognition Enhancement
Combines machine learning capabilities with advanced web scraping to identify and adapt to evolving data patterns
Scalable Knowledge Acquisition
Expands the agent's knowledge base through enterprise-grade data collection across millions of web pages
Relevance AI seamlessly integrates with Scraptio to enhance your data extraction 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 Scraptio integration platform provides powerful web scraping capabilities through a simple API interface, allowing developers to easily extract structured data from websites and process it through Relevance AI's data pipeline. This integration simplifies web scraping with customizable filters and ensures secure API access through OAuth-based authentication.
With flexible data extraction options, you can seamlessly integrate your scraping tasks into your data processing workflows, making it easier to manage and analyze the data you collect.
To get started, ensure you have a Scraptio account with API access and the necessary OAuth credentials configured. Your environment should support HTTPS and REST API calls, with JSON parsing capabilities to handle the data effectively.
When setting up the integration, configure your OAuth authentication and base URL settings, and initialize the API headers to ensure secure communication with the Scraptio API.
For basic web scraping, you can make a simple scraping request to extract content from a specified URL using defined filters. The expected response will include the scraped content and relevant metadata, allowing you to process the data as needed.
In addition to basic scraping, you can make custom API calls using GET and POST requests to tailor your data extraction to specific needs. Ensure you handle common issues such as authentication errors, scraping issues, and API response errors by verifying your configurations and validating request parameters.
Implement best practices like rate limiting and error handling to optimize your integration. Use specific CSS selectors to enhance performance, minimize unnecessary API calls, and consider caching strategies for efficient data management.
For further assistance or to explore specific use cases, refer to the full API documentation or contact Scraptio support for guidance.
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.
To get the most out of the Scraptio + Relevance AI integration without writing code:
- Start with a clear scraping strategy: Define your target URLs and the specific data you want to extract using clear filters.
- Utilize OAuth authentication: Ensure your OAuth credentials are correctly configured for secure API access.
- Test your requests: Make initial scraping requests on sample data to validate your filters and ensure the expected output.
- Monitor API usage: Keep track of your API calls to avoid hitting rate limits and implement appropriate delays between requests.
- Implement error handling: Always check for errors in API responses and handle them gracefully to avoid disruptions in your data pipeline.
