What is Flowise?
Open-source drag-and-drop tool for building LLM flows. Visual interface for creating chatbots and AI agents.
Searching Apple App Store with Flowise
This integration lets your Flowise agent search Apple App Store in real time via the Scavio API. The agent gets back structured JSON with app results, ratings, review counts, category rank — ready for reasoning and decision-making.
Setup
Bash
# No installation — configure in Flowise's drag-and-drop editorCode Example
Here is a complete Flowise agent that searches Apple App Store using Scavio:
Text
// In Flowise, add a Custom Tool node:
// Name: Scavio Apple App Store Search
// Description: Search Apple App Store for real-time results
// Method: POST
// URL: https://api.scavio.dev/api/v1/search
// Headers: {"x-api-key": "your_scavio_api_key", "Content-Type": "application/json"}
// Body: {"query": "{query}"}Full Working Example
A production-ready example with error handling:
Text
// Flowise Custom Tool Configuration for Apple App Store Search
//
// 1. Add a Custom Tool node to your flow
// 2. Configure:
// - Name: scavio_search
// - Description: Search Apple App Store for real-time results
// - Method: POST
// - URL: https://api.scavio.dev/api/v1/search
// - Headers: {"x-api-key": "your_scavio_api_key"}
// - Body: {"query": "{query}"}
// 3. Connect to an Agent or Chain nodePricing
Scavio offers a free tier with 500 credits/month (1 credit per search). No credit card required. This is enough to build and test your Flowise integration. Paid plans start at $30/month for higher volumes.