AI-powered research assistant with Linear, Scrapeless, and Claude
UnknownWhat this workflow does
This AI workflow has 17 nodes and runs on Linear events. Along the way it connects Linear, Anthropic Chat Model and Scrapeless (community).
How it runs
Trigger: On Linear events.
- Switch: routes items into branches
- Code: runs custom JavaScript code
- Code: runs custom JavaScript code
- Code: runs custom JavaScript code
- Code: runs custom JavaScript code
- Code: runs custom JavaScript code
- Google Search (Scrapeless): uses Scrapeless
- Google Trends (Scrapeless): google trends
- Web Unlocker (Scrapeless): work with universal scraping api
- Scrape (Scrapeless): work with crawler
…plus 5 more steps. See the full node list below.
Services it uses
Scraping pages by hand? Firecrawl is a simpler option (10% off for new users).
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-scrapeless is verified or supports 3.0 (used in Google Search, Google Trends, Web Unlocker).
Nodes used (7)
- Linear Trigger
n8n-nodes-base.linearTrigger - Switch
n8n-nodes-base.switch - Scrapeless
n8n-nodes-scrapeless.scrapeless - Code
n8n-nodes-base.code - AI Agent
@n8n/n8n-nodes-langchain.agent - Anthropic Chat Model
@n8n/n8n-nodes-langchain.lmChatAnthropic - Linear
n8n-nodes-base.linear
From the author
Brief Overview This workflow integrates Linear, Scrapeless, and Claude AI to create an AI research assistant that can respond to natural language commands and automatically perform market research, trend analysis, data extraction, and intelligent analysis.…