What is Flowise?
Open-source drag-and-drop tool for building LLM flows. Visual interface for creating chatbots and AI agents.
Searching X (Twitter) with Flowise
This integration lets your Flowise agent search X (Twitter) in real time via the Scavio API. The agent gets back structured JSON with post snippets, author handles, timestamps, engagement signals — 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 X (Twitter) using Scavio:
Text
// In Flowise, add a Custom Tool node:
// Name: Scavio X (Twitter) Search
// Description: Search X (Twitter) 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 X (Twitter) Search
//
// 1. Add a Custom Tool node to your flow
// 2. Configure:
// - Name: scavio_search
// - Description: Search X (Twitter) 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.