Block 1 - Linear Trigger
- Type / Role
- n8n-nodes-base.linearTrigger - linearTrigger
- Config choices
- Version 1
AI-powered research assistant with Linear, Scrapeless, and Claude
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Important notice
This workflow is provided as-is. Please review and test before using in production.
1. Workflow Overview
Brief Overview This workflow integrates Linear, Scrapeless, and Claude AI to create an AI research assistant that can respond to natural language commands and automaticall...
Best for
- Market Research automation workflows
- AI Chatbot automation workflows
- advanced n8n builders looking for reusable templates
Tools used
n8n-nodes-base.lineartrigger, n8n-nodes-base.switch, n8n-nodes-scrapeless.scrapeless, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatanthropic, n8n-nodes-base.linear
Source and attribution
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by scrapeless official.
Original n8n.io source1.1 Workflow description
- Title
- AI-powered research assistant with Linear, Scrapeless, and Claude
- Workflow name
- AI-powered research assistant with Linear, Scrapeless, and Claude
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.
Simply enter commands such as /search, /trends, /crawl in the Linear task, and the system will automatically perform search, crawling, or trend analysis operations, and return Claude AI's analysis results to Linear in the form of comments.
How It Works
- Trigger: A user creates or updates an issue in Linear and enters a specific command (e.g. /search competitor analysis).
- n8n Webhook: Listens to Linear events and triggers automated processes.
- Command identification: Determines the type of command entered by the user through the Switch node (search/trends/unlock/scrape/crawl).
- Data extraction: Calls the Scrapeless API to perform the corresponding data crawling task.
- Data cleaning and aggregation: Use Code Node to unify the structure of the data returned by Scrapeless.
- Claude AI analysis: Claude receives structured data and generates summaries, insights, and recommendations.
- Result writing: Writes the analysis results to the original issue as comments through the Linear API.
Features
Multiple commands supported
- /search: Google SERP data query
- /trends: Google Trends trend analysis
- /unlock: Unlock protected web content (JS rendering)
- /scrape: Single page crawling
- /crawl: Whole site multi-page crawling
Claude AI intelligent analysis
- Automatically structure Scrapeless data
- Generate executable suggestions and trend insights
- Format optimization to adapt to Linear comment format
Complete automation process
- Codeless process management based on n8n
- Multi-channel parallel logic distribution + data standardization processing
- Support custom API Key, regional language settings and other parameters
Requirements
- Scrapeless API Key: Scrapeless Service request credentials.
- Log in to the Scrapeless Dashboard
- Then click "Setting" on the left -> select "API Key Management" -> click "Create API Key". Finally, click the API Key you created to copy it.
- n8n Instance: Self-hosted or n8n.cloud account.
- Claude AI: Anthropic API Key (Claude Sonnet 3.7 model recommended)
Installation
- Log in to Linear and get a Personal API Token
- Log in to n8n Cloud or a local instance
- Import the n8n workflow JSON file provided by Scrapeless
- Configure the following environment variables and credentials:
- Linear API Token
- Scrapeless API Token
- Claude API Key
- Configure the Webhook URL and bind to the Linear Webhook settings page
Usage
This automated job finder agent is ideal for:
| Industry / Role | Use Case |
|---|---|
| SaaS / B2B Software | |
| Market Research Teams | Analyze competitor pricing pages using /unlock, and feature pages via /scrape. |
| Content & SEO | Discover trending keywords and SERP data via /search and /trends to guide content topics. |
| Product Managers | Use /crawl to explore product documentation across competitor sites for feature benchmarking. |
| AI & Data-Driven Teams | |
| AI Application Developers | Automate info extraction + LLM summarization for building intelligent research agents. |
| Data Analysts | Aggregate structured insights at scale using /crawl + Claude summarization. |
| Automation Engineers | Integrate command workflows (e.g., /scrape, /search) into tools like Linear to boost productivity. |
| E-commerce / DTC Brands | |
| Market & Competitive Analysts | Monitor competitor sites, pricing, and discounts with /unlock and /scrape. |
| SEO & Content Teams | Track keyword trends and popular queries via /search and /trends. |
| Investment / Consulting / VC | |
| Investment Analysts | Crawl startup product docs, guides, and support pages via /crawl for due diligence. |
| Consulting Teams | Combine SERP and trend data (/search, /trends) for fast market snapshots. |
| Media / Intelligence Research | |
| Journalists & Editors | Extract forum/news content from platforms like HN or Reddit using /scrape. |
| Public Opinion Analysts | Monitor multi-source keyword trends and sentiment signals to support real-time insights. |
Output
1.2 Logical Blocks
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
2. Block-by-Block Analysis
Block 2 - Switch
- Type / Role
- n8n-nodes-base.switch - switch
- Config choices
- Version 3.2
Block 3 - Google Search
- Type / Role
- n8n-nodes-scrapeless.scrapeless - scrapeless
- Config choices
- Version 1
Block 4 - Google Trends
- Type / Role
- n8n-nodes-scrapeless.scrapeless - scrapeless
- Config choices
- Version 1
Block 5 - Web Unlocker
- Type / Role
- n8n-nodes-scrapeless.scrapeless - scrapeless
- Config choices
- Version 1
Block 6 - Scrape
- Type / Role
- n8n-nodes-scrapeless.scrapeless - scrapeless
- Config choices
- Version 1
Block 7 - Crawl
- Type / Role
- n8n-nodes-scrapeless.scrapeless - scrapeless
- Config choices
- Version 1
Block 8 - Code2
- Type / Role
- n8n-nodes-base.code - code
- Config choices
- Version 2
Block 9 - Code
- Type / Role
- n8n-nodes-base.code - code
- Config choices
- Version 2
Block 10 - Code3
- Type / Role
- n8n-nodes-base.code - code
- Config choices
- Version 2
Block 11 - Code4
- Type / Role
- n8n-nodes-base.code - code
- Config choices
- Version 2
Block 12 - Code5
- Type / Role
- n8n-nodes-base.code - code
- Config choices
- Version 2
Block 13 - Code6
- Type / Role
- n8n-nodes-base.code - code
- Config choices
- Version 2
Block 14 - AI Agent1
- Type / Role
- @n8n/n8n-nodes-langchain.agent - agent
- Config choices
- Version 2
Block 15 - Anthropic Chat Model1
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatAnthropic - lmChatAnthropic
- Config choices
- Version 1.3
Block 16 - Code7
- Type / Role
- n8n-nodes-base.code - code
- Config choices
- Version 2
Block 17 - Add a comment to an issue1
- Type / Role
- n8n-nodes-base.linear - linear
- Config choices
- Version 1
3. Summary Table
| Workflow | AI-powered research assistant with Linear, Scrapeless, and Claude |
|---|---|
| Complexity | advanced |
| Nodes | 17 |
| Categories | Market Research, AI Chatbot |
| Author | scrapeless official |
| Published | 21 Jul 2025 |
4. Reproducing the Workflow from Scratch
-
1. Download the workflow JSON
Use the JSON export at /data/workflows/6220/6220.json as the source template for this automation.
-
2. Import the template into n8n
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
-
3. Configure credentials and variables
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
-
4. Test with sample data
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
-
5. Activate and monitor
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
5. General Notes & Resources
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Frequently asked questions
What does AI-powered research assistant with Linear, Scrapeless, and Claude do?
Brief Overview This workflow integrates Linear, Scrapeless, and Claude AI to create an AI research assistant that can respond to natural language commands and automaticall...
What do I need before importing this workflow?
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Can I customize this workflow?
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Market Research, AI Chatbot use case.