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market-researcher

Automate market research data collection and competitive analysis with Python scripts.

1|1|Updated Mar 22, 2026
Search Tags:#automation#python#surveys#social-media#market-research#competitive-analysis#data-collection
One-click install
npx skills add https://github.com/polaris-dxz/xclaw --skill market-researcher-polaris-dxz
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: market-researcher
Source: https://github.com/polaris-dxz/xclaw/tree/main/apps/desktop/openclaw-runtime/config/skills/market-researcher
Command: npx skills add https://github.com/polaris-dxz/xclaw --skill market-researcher-polaris-dxz

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Manual, time-consuming market research and competitive benchmarking across social media data, leading to slower product decisions.

Core Features & Use Cases

  • Automatic market size estimation using TAM/SAM/SOM models for quick sizing.
  • Deep competitor analysis comparing features, pricing, and user reviews.
  • Auto-generation of user interview frameworks and surveys to accelerate data collection.
  • Use Case: Before product validation, run this tool to map key market signals and vendor options.

Quick Start

Run a market research task with the tool to start collecting insights.

Frequently Asked Questions about market-researcher

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate market research data collection from social media?▼

Automate market research data collection from social media by running Python scripts that use requests, BeautifulSoup, and pandas to extract user needs and map market signals for product validation.

What is the best way to run a competitive analysis on competitor features and pricing?▼

The best way to run a competitive analysis is using automated tools to compare competitor features, pricing, and user reviews, providing deep benchmarking data to inform product decisions and vendor options.

How does the TAM SAM SOM model work for market size estimation?▼

The TAM SAM SOM model works for market size estimation by calculating the Total Addressable Market, Serviceable Available Market, and Serviceable Obtainable Market to quickly size your target audience and validate product scope.

Can I use Python and BeautifulSoup to auto-generate user interview surveys?▼

Yes, you can use Python scripts within this tool to auto-generate user interview frameworks and surveys, accelerating data collection for user needs discovery and product validation tasks.

Do I need any external dependencies to run this market research tool?▼

No, you do not need any external dependencies to run this market research tool, as it operates independently using built-in Python scripts, references, and standard data processing libraries.

What are the limitations of using Python scripts for social media market research?▼

Limitations of using Python scripts for social media market research include potential scraping restrictions from platforms and the need for manual validation of automated data collection results to ensure accuracy.

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