πŸ“Š AI-powered research assistant with Linear, Scrapeless, and Claude

⚑ 759 views Β· πŸ“Š Market Research & Insights

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Description

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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

  1. Trigger: A user creates or updates an issue in Linear and enters a specific command (e.g. /search competitor analysis).
  2. n8n Webhook: Listens to Linear events and triggers automated processes.
  3. Command identification: Determines the type of command entered by the user through the Switch node (search/trends/unlock/scrape/crawl).
  4. Data extraction: Calls the Scrapeless API to perform the corresponding data crawling task.
  5. Data cleaning and aggregation: Use Code Node to unify the structure of the data returned by Scrapeless.
  6. Claude AI analysis: Claude receives structured data and generates summaries, insights, and recommendations.
  7. Result writing: Writes the analysis results to the original issue as comments through the Linear API.

Features

Multiple commands supported

Claude AI intelligent analysis

Complete automation process


Requirements


Installation

  1. Log in to Linear and get a Personal API Token
  2. Log in to n8n Cloud or a local instance
  3. Import the n8n workflow JSON file provided by Scrapeless
  4. Configure the following environment variables and credentials:
    • Linear API Token
    • Scrapeless API Token
    • Claude API Key
  5. Configure the Webhook URL and bind to the Linear Webhook settings page

Usage

This automated job finder agent is ideal for:

Industry / RoleUse Case
SaaS / B2B Software
Market Research TeamsAnalyze competitor pricing pages using /unlock, and feature pages via /scrape.
Content & SEODiscover trending keywords and SERP data via /search and /trends to guide content topics.
Product ManagersUse /crawl to explore product documentation across competitor sites for feature benchmarking.
AI & Data-Driven Teams
AI Application DevelopersAutomate info extraction + LLM summarization for building intelligent research agents.
Data AnalystsAggregate structured insights at scale using /crawl + Claude summarization.
Automation EngineersIntegrate command workflows (e.g., /scrape, /search) into tools like Linear to boost productivity.
E-commerce / DTC Brands
Market & Competitive AnalystsMonitor competitor sites, pricing, and discounts with /unlock and /scrape.
SEO & Content TeamsTrack keyword trends and popular queries via /search and /trends.
Investment / Consulting / VC
Investment AnalystsCrawl startup product docs, guides, and support pages via /crawl for due diligence.
Consulting TeamsCombine SERP and trend data (/search, /trends) for fast market snapshots.
Media / Intelligence Research
Journalists & EditorsExtract forum/news content from platforms like HN or Reddit using /scrape.
Public Opinion AnalystsMonitor multi-source keyword trends and sentiment signals to support real-time insights.

Output

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πŸ”— Nodes Used

Linear Trigger, Linear, AI Agent, Anthropic Chat Model

πŸ“₯ Import

Download workflow.json and import into n8n: Workflow menu β†’ Import from File

πŸ“– Importing guide Β· πŸ”‘ Credential setup