Templates / Search & summarize web data with Perplexity, Gemini AI & Bright Data to webhooks

Search & summarize web data with Perplexity, Gemini AI & Bright Data to webhooks

Ready for 3.0

by Ranjan Dailata ✓ · 2,289 views · created 2025-04-13 · Market Research, AI Summarization

Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.

What this workflow does

This AI workflow has 15 nodes and runs manually, when you click “Execute workflow”. Along the way it connects Google Gemini Chat Model. It also calls api.brightdata.com and webhook.site over HTTP.

How it runs

Trigger: Manually, when you click “Execute workflow”.

  1. Perplexity Search Request (HTTP Request): calls api.brightdata.com (POST)
  2. Set Snapshot Id (Edit Fields (Set)): sets 1 field: snapshot_id
  3. Check Snapshot Status (HTTP Request): calls an HTTP API
  4. If: checks a condition and branches into true / false
  5. Check on the errors (If): checks a condition and branches into true / false
  6. Wait: waits 30 seconds
  7. Download Snapshot (HTTP Request): calls an HTTP API
  8. Readable Data Extractor (Information Extractor): extracts structured fields from text with AI, with model: Google Gemini Chat Model
  9. Summarization of search result (Summarization Chain): summarizes text with AI, with model: Google Gemini Chat Model; document loader: Default Data Loader
  10. Webhook Notifier (HTTP Request): calls webhook.site

Services it uses

Google Gemini Chat Model

HTTP calls to: api.brightdata.com, webhook.site

Before you upgrade to n8n 3.0

Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.

Nodes used (10)

From the author

Who this is for? This workflow is designed for professionals and teams who need real-time, structured insights from Perplexity Search results without manual effort. What problem is this workflow solving? This n8n workflow solves the problem of automating…

Excerpt from Ranjan Dailata's description on n8n.io.

View the original on n8n.io → Check your own copy

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