Automate deep research with ScrapeGraphAI, GPT-4 & Google Sheets
UnknownWhat this workflow does
This workflow has 11 nodes and runs when an HTTP POST request hits its webhook URL. Along the way it connects Google Sheets and Scrapegraphai (community).
How it runs
Trigger: When an HTTP POST request hits its webhook URL.
- Research Configuration Processor (Code): runs custom JavaScript code
- Split Search Queries (Loop Over Items (Split in Batches)): loops over the items in batches
- Query Selector (Code): runs custom JavaScript code
- AI Research Scraper (Scrapegraph Ai): uses Scrapegraph Ai
- News Sources Scraper (Scrapegraph Ai): uses Scrapegraph Ai
- Academic Sources Scraper (Scrapegraph Ai): uses Scrapegraph Ai
- Merge: merges the data from its input branches
- Research Data Processor (Code): runs custom JavaScript code
- Research Data Storage (Google Sheets): append
- Research Complete Response (Respond to Webhook): sends the response back to the webhook caller
Services it uses
Before you upgrade to n8n 3.0
We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).
- Check that n8n-nodes-scrapegraphai is verified or supports 3.0 (used in AI Research Scraper, News Sources Scraper, Academic Sources Scraper).
Nodes used (7)
- Webhook
n8n-nodes-base.webhook - Code
n8n-nodes-base.code - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - Scrapegraph Ai
n8n-nodes-scrapegraphai.scrapegraphAi - Merge
n8n-nodes-base.merge - Google Sheets
n8n-nodes-base.googleSheets - Respond to Webhook
n8n-nodes-base.respondToWebhook
From the author
Deep Research Agent with AI Analysis and Multi-Source Data Collection 🎯 Target Audience - Market researchers and analysts - Business intelligence teams - Academic researchers and students - Content creators and journalists - Product managers conducting…