Zenserp is a powerful web scraping and data extraction tool that helps businesses gather and analyze data from search engines and websites efficiently.
Enhance your data collection capabilities with AI Agents that can automatically extract, process, and act on real-time information.
Zenserp delivers real-time web data extraction and search engine insights. Relevance AI transforms this raw data into intelligent actions through AI agents that can analyze, interpret, and automate decision-making processes.
Real-Time Insight Generation
Agents can access and analyze the latest data instantly, enhancing decision-making.
Dynamic Data Adaptation
Agents can adjust strategies based on real-time market changes and competitor actions.
Enhanced Predictive Analytics
Agents leverage real-time data to improve forecasting and trend analysis capabilities.
Relevance AI gives you access to Zenserp's powerful 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 Zenserp account
- A Relevance AI account with access to your project settings
- Authorization (you'll connect securely using API keys—no sensitive info stored manually)
Security & Reliability
The integration leverages secure OAuth authentication through Zenserp's API, enabling authorized search data access and retrieval. Relevance AI manages all API operations seamlessly in the background while handling rate limits, data formatting, and error handling automatically.
Built-in request validation and response parsing ensure consistent data delivery across your search intelligence 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 Zenserp + Relevance AI integration without writing code:
- Configure API settings properly: Set appropriate search parameters and location targeting for accurate results.
- Optimize request timing: Space out API calls to respect Zenserp's rate limits and quotas.
- Structure search queries: Use specific keywords and filters to get the most relevant SERP data.
- Monitor usage: Track API consumption to stay within plan limits and avoid interruptions.
- Handle responses efficiently: Process and store SERP data in batches for optimal performance.
