Proxy Spider is a leading provider of web scraping and data extraction solutions, designed to help businesses gather and analyze data from various online sources efficiently.
Enhance your data collection capabilities with AI agents that can automatically gather, process and act on web data at scale.
Proxy Spider delivers powerful web data extraction and scraping capabilities. Relevance AI transforms this raw data into intelligent insights through AI agents that can analyze, process, and take action.
Dynamic Data Orchestration
The agent can seamlessly gather and organize data from multiple sources in real-time.
Enhanced Insight Generation
Empowers the agent to derive actionable insights from vast datasets quickly.
Real-Time Decision Support
Enables the agent to provide timely recommendations based on the latest data trends.
Relevance AI gives you access to Proxy Spider's web scraping and data extraction 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 Proxy Spider account
- A Relevance AI account with access to the API and datasets you want to use
- Authorization (connect securely via OAuth—no sensitive data stored manually)
Security & Reliability
The integration leverages secure OAuth authentication to safely access your Proxy Spider data through authorized workflows. Relevance AI manages API operations in the background while handling request formatting, rate limits, and error handling automatically.
Built-in request validation and response parsing ensure reliable proxy management across your workflows.
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 Proxy Spider + Relevance AI integration without writing code:
- Configure authentication properly: Ensure OAuth credentials are correctly set up and permissions are appropriate.
- Use proper HTTP methods: Match GET for retrieving data and POST/PUT for modifications.
- Handle responses carefully: Always check status codes and response bodies for successful API calls.
- Manage request headers: Set appropriate content-type headers while respecting authorization header restrictions.
- Monitor API usage: Stay within rate limits and implement proper error handling for API responses.
