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Integration

Flowise + Reddit Comments Tree

Search Reddit Comments Tree from your Flowise agent with Scavio. Get comment text, authors, scores in structured JSON.

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What is Flowise?

Open-source drag-and-drop tool for building LLM flows. Visual interface for creating chatbots and AI agents.

Searching Reddit Comments Tree with Flowise

This integration lets your Flowise agent search Reddit Comments Tree in real time via the Scavio API. The agent gets back structured JSON with comment text, authors, scores, depth -- ready for reasoning and decision-making.

Setup

Bash
# No installation - configure in Flowise's drag-and-drop editor

Code Example

Here is a complete Flowise agent that searches Reddit Comments Tree using Scavio:

Text
// In Flowise, add a Custom Tool node:
// Name: scavio_search
// Description: Query Reddit Comments Tree for real-time results
// Method: POST
// URL: https://api.scavio.dev/api/v1/reddit/post/comments
// Headers: {"Authorization": "Bearer sk_live_your_key", "Content-Type": "application/json"}
// Body: {"post_id":"your search query","sort":"TOP"}
//
// Comments are fetched per post: get a post_id from POST /api/v1/reddit/search, or resolve a URL with POST /api/v1/reddit/post. Deeper replies come from POST /api/v1/reddit/post/comments/replies using a row's reply_cursor.

Full Working Example

A production-ready example with error handling:

Text
// Flowise Custom Tool for Reddit Comments Tree data via Scavio
//
// 1. Add a Custom Tool node to your flow.
// 2. Configure:
//    - Name: scavio_search
//    - Description: Query Reddit Comments Tree for real-time results
//    - Method: POST
//    - URL: https://api.scavio.dev/api/v1/reddit/post/comments
//    - Headers: {"Authorization": "Bearer sk_live_your_key", "Content-Type": "application/json"}
//    - Body: {"post_id":"your search query","sort":"TOP"}
// 3. Rows arrive under data.comments.
// 4. Connect the tool to an Agent or Chain node.
//
// Comments are fetched per post: get a post_id from POST /api/v1/reddit/search, or resolve a URL with POST /api/v1/reddit/post. Deeper replies come from POST /api/v1/reddit/post/comments/replies using a row's reply_cursor.

Pricing

Scavio offers a free tier with 50 credits on signup (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.

Frequently Asked Questions

Install Scavio and connect it to your Flowise agent with a short tool or HTTP request that calls the Scavio API. Once connected, your Flowise agent has access to real-time search across Google, Amazon, YouTube, and Walmart.

Scavio works with Flowise via HTTP requests or custom tool definitions. The integration takes under 10 minutes to set up. See the code example above for the full setup.

Once connected, your Flowise agent can search Google (web, news, images, shopping, maps), Amazon (22 marketplaces), YouTube (videos, transcripts, channels), and Walmart. All from a single API key.

Scavio has a free tier with 50 credits on signup (1 credit per search). This is enough to build and test your Flowise integration. Paid plans start at $30/month. There is no per-seat or per-agent pricing.

Yes. The Scavio API returns live Reddit Comments Tree results with comment text, authors, scores in structured JSON. Your Flowise agent can use this data to make informed decisions based on current information.

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Add Real-Time Search to Flowise

Get your free Scavio API key and connect Flowise to Google, Amazon, YouTube, Walmart, and Reddit. 50 free credits on signup.

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