Research and score leads with Tavily and ScrapeGraphAI

Form → Tavily search → fetch/clean sites (ScrapeGraphAI fallback) → LLM structured scoring → Sheets CRM.

by /u/FlakyBeyond585027 Sep 2026

Prompt for your agent

Goal: Research and qualify companies automatically.
Setup: agents used in source: n8n; tools/MCPs stated: n8n, Tavily, ScrapeGraphAI, OpenRouter, Google Sheets.
Steps:
1. Form trigger with a research request; validate input.
2. Tavily search; validate, normalise URLs, filter directories, de-duplicate.
3. Fetch websites, extract and clean text (ScrapeGraphAI fallback).
4. LLM chain with structured output; deterministic lead scoring.
5. Store in a Google Sheets CRM and generate a Markdown report.
Rules: ask me before anything irreversible (sending, posting, paying, deleting); don’t invent data, results or tools I haven’t given you; tell me what you couldn’t verify.
Based on: /u/FlakyBeyond5850 — https://www.reddit.com/r/n8n/comments/1wrbyx4/built_a_leadgeneration_and_companyintelligence/

Steps are from the source. Includes a “Based on” credit line.

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Agents, models and tools only what the source states

Agents
n8n
Tools
  • n8n
  • Tavily
  • ScrapeGraphAI
  • OpenRouter
  • Google Sheets

Sources & credit