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nicemaths123

Amazon And Etsy Product Research

by nicemaths123 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install amazon-and-etsy-product-research
Description
Generates detailed Amazon and Etsy product research reports with bestsellers, pricing gaps, review insights, trends, profit margins, and listing strategies f...
README (SKILL.md)

🛍️ Amazon & Etsy Bestseller Product Research Engine

Slug: amazon-etsy-product-research
Category: E-Commerce / Product Research
Powered by: Apify + Claude AI

Input any niche. Get a complete product research report — bestsellers, pricing gaps, review weaknesses, search trends, profit margins & untapped opportunities — in minutes. Find your next winning product before your competitors do.


💥 Why This Skill Will Explode on ClawHub

Every dropshipper, Amazon FBA seller, Etsy creator, and e-commerce founder spends 20-40 hours/week manually researching products. That's the most painful, repetitive, high-stakes task in their business.

This skill cuts that to 5 minutes. With better data than anything they'd find manually.

What gets researched automatically:

  • 🏆 Top 50 bestselling products in any niche (Amazon + Etsy combined)
  • 💰 Real pricing data — average, min, max, optimal price point
  • ⭐ Review gap analysis — what customers LOVE and HATE about existing products
  • 📈 Search trend momentum — rising vs declining demand
  • 🏭 Supplier intelligence — estimated production cost & profit margin
  • 🔍 Keyword goldmine — top search terms driving sales
  • 🚀 Untapped opportunity score — low competition, high demand niches
  • 📦 Listing optimization tips — titles, tags, descriptions that rank

🛠️ Apify Actors Used

Actor ID Purpose
Amazon Product Scraper junglee/amazon-product-scraper Bestsellers, pricing, reviews, BSR rank
Amazon Reviews Scraper junglee/amazon-reviews-scraper Deep review sentiment analysis
Etsy Scraper emastra/etsy-scraper Top Etsy listings, sales estimates, tags
Google Trends Scraper emastra/google-trends-scraper Demand momentum & seasonal patterns
Google Search Scraper apify/google-search-scraper Market size, competitor brands, news

⚙️ Full Workflow

INPUT: Niche keyword + marketplace (Amazon / Etsy / Both) + budget range
        ↓
STEP 1 — Scrape Top 50 Bestsellers in the Niche
  └─ Amazon BSR rank, Etsy sales count, pricing, review volume
        ↓
STEP 2 — Deep Review Mining (1,000+ reviews analyzed)
  └─ What do buyers LOVE? What do they HATE?
  └─ Most mentioned complaints = your product improvement opportunity
        ↓
STEP 3 — Pricing Intelligence
  └─ Average price, price clustering, optimal entry price point
  └─ Identify underpriced gaps and premium opportunities
        ↓
STEP 4 — Google Trends Analysis
  └─ Is demand rising or declining?
  └─ Seasonal peaks, emerging micro-trends
        ↓
STEP 5 — Keyword & SEO Analysis
  └─ Top search terms, long-tail opportunities, low-competition keywords
        ↓
STEP 6 — Profit Margin Estimation
  └─ Estimated COGS based on product type & complexity
  └─ Realistic margin after platform fees, shipping, ads
        ↓
STEP 7 — Claude AI Generates Full Opportunity Report
  └─ Top 10 product opportunities ranked by score
  └─ Review gap = your product angle
  └─ Exact listing strategy to outrank existing sellers
        ↓
OUTPUT: Ranked product list + full opportunity report (JSON / Markdown / CSV)

📥 Inputs

{
  "niche": "minimalist home decor",
  "marketplace": "both",
  "price_range": {
    "min": 15,
    "max": 80
  },
  "target_margin": 40,
  "exclude_brands": ["IKEA", "Amazon Basics"],
  "research_depth": {
    "max_products": 50,
    "reviews_per_product": 100,
    "lookback_days": 90
  },
  "apify_token": "YOUR_APIFY_TOKEN"
}

📤 Output Example

{
  "niche": "minimalist home decor",
  "market_overview": {
    "total_products_analyzed": 50,
    "average_price": "$34.50",
    "average_reviews": 847,
    "market_trend": "📈 Rising +23% YoY",
    "competition_level": "🟡 Medium",
    "best_entry_price_point": "$24.99 - $39.99"
  },
  "top_opportunities": [
    {
      "rank": 1,
      "opportunity_score": 94,
      "product_idea": "Minimalist Wooden Desk Organizer with Hidden Wireless Charger",
      "why_it_wins": "Top 3 complaints in 800+ reviews of existing organizers: 'no cable management', 'takes up too much space', 'no charging'. Zero products currently solve all 3.",
      "estimated_price": "$39.99",
      "estimated_cogs": "$11.00",
      "estimated_margin": "62%",
      "monthly_search_volume": "28,400",
      "top_competitors": 4,
      "review_gap": {
        "buyers_love": ["clean design", "sturdy wood", "good size"],
        "buyers_hate": ["no wireless charging", "cables everywhere", "too bulky"],
        "your_angle": "Same minimalist aesthetic + built-in wireless charging pad + cable routing"
      },
      "listing_strategy": {
        "title": "Minimalist Wooden Desk Organizer with Wireless Charger — Cable-Free Workspace Storage for Home Office",
        "top_keywords": ["desk organizer", "wireless charging desk organizer", "minimalist office accessories", "wooden desk storage"],
        "price_to_win": "$37.99 (undercut leader by $4 while adding features)"
      }
    },
    {
      "rank": 2,
      "opportunity_score": 87,
      "product_idea": "Expandable Minimalist Spice Rack — Bamboo, No Assembly",
      "why_it_wins": "Best seller has 2,400 reviews. #1 complaint (340 reviews): 'took 45 min to assemble, instructions terrible'. Opportunity: same product, tool-free snap assembly.",
      "estimated_price": "$28.99",
      "estimated_cogs": "$7.50",
      "estimated_margin": "58%",
      "monthly_search_volume": "41,200",
      "top_competitors": 6,
      "review_gap": {
        "buyers_love": ["looks great", "holds a lot", "bamboo quality"],
        "buyers_hate": ["horrible assembly", "screws stripped", "instructions useless"],
        "your_angle": "Snap-fit bamboo construction — zero tools, 60 seconds to set up"
      }
    }
  ],
  "keyword_goldmine": [
    { "keyword": "minimalist desk organizer", "volume": 28400, "competition": "medium", "trend": "rising" },
    { "keyword": "aesthetic home office accessories", "volume": 18700, "competition": "low", "trend": "rising +41%" },
    { "keyword": "bamboo desk storage", "volume": 12300, "competition": "low", "trend": "stable" }
  ],
  "seasonal_insights": {
    "peak_months": ["October", "November", "January"],
    "advice": "Launch by September to catch Q4 gifting season — this niche sees 3x volume in November"
  },
  "sourcing_intelligence": {
    "recommended_platforms": ["Alibaba", "1688.com", "AliExpress"],
    "estimated_moq": "50-200 units for custom branding",
    "avg_sample_cost": "$15-30",
    "production_lead_time": "15-25 days"
  }
}

🧠 Claude AI Master Prompt

You are a world-class Amazon FBA and Etsy product research expert.

SCRAPED MARKETPLACE DATA:
- Bestsellers: {{bestsellers_data}}
- Review analysis: {{reviews_data}}
- Pricing data: {{pricing_data}}
- Google Trends: {{trends_data}}
- Keyword data: {{keyword_data}}

RESEARCH PARAMETERS:
- Niche: {{niche}}
- Target price range: {{price_range}}
- Target margin: {{target_margin}}%

GENERATE:
1. Market overview — average price, competition level, trend direction
2. Top 10 product opportunities ranked by opportunity score (0-100)
   For each opportunity include:
   - Why it wins (review gap + market gap)
   - Estimated price, COGS, and margin
   - Exact buyer complaints that become your product USP
   - Listing strategy: optimized title + top 5 keywords + recommended price
3. Keyword goldmine — top 10 search terms with volume, competition & trend
4. Seasonal insights — when to launch and peak months
5. Sourcing intelligence — where to source, MOQ, lead time estimates

SCORING CRITERIA (weight each):
- Review gap score (30%) — how many complaints can you fix?
- Demand trend (25%) — is search volume rising?
- Competition density (25%) — how many strong sellers dominate?
- Margin potential (20%) — can you hit the target margin?

OUTPUT: Valid JSON only. No markdown. No preamble.

💰 Cost Estimate

Research Runs Apify CU Cost Niches Researched
1 niche ~45 CU ~$0.45 1 full report
5 niches ~220 CU ~$2.20 5 full reports
20 niches ~880 CU ~$8.80 20 full reports
100 niches ~4,300 CU ~$43 100 full reports

💡 $5 free Apify credits on signup = your first 10 niche reports completely free.
👉 https://www.apify.com?fpr=dx06p


🔗 Who Makes Money With This Skill

User How They Use It Revenue Potential
Amazon FBA Seller Find next winning product before competitors $5K-$50K/month per product
Etsy Creator Identify trending niches with low competition $2K-$15K/month passive
Dropshipper Validate products before buying inventory Avoid $000s in bad stock
Product Research Agency Sell reports to clients at $200-$500 each $5K-$20K/month service
E-com Consultant Bundle into strategy package $2K-$10K per engagement
Private Label Brand Source & brand winning products Build 6-7 figure brand

📊 Why This Beats Every Existing Research Tool

Feature Helium10 ($99/mo) Jungle Scout ($69/mo) This Skill
Amazon data
Etsy data
Review gap analysis
AI-generated product angle
Listing strategy included
Monthly subscription $99/mo $69/mo ~$0.45/run
Works for any niche instantly

🚀 Setup in 3 Steps

Step 1 — Get your Apify API Token
Sign up free → https://www.apify.com?fpr=dx06p
Go to: Settings → Integrations → API Token

Step 2 — Define your niche & parameters
Keyword, marketplace, price range, target margin. The more specific, the better.

Step 3 — Run & get your report
Full opportunity report with ranked products in under 5 minutes.


⚡ Pro Tips to Find Winning Products Faster

  • Focus on products with 500+ reviews AND a 3.8-4.2★ rating — enough demand, enough complaints to improve on
  • The best opportunity is always in the reviews — sort by 1-3 stars and read 50 complaints
  • Target the #2 or #3 bestseller, not #1 — easier to dethrone, same demand
  • Launch in October for Q4 — home decor, gifts & organizers 3x in November
  • Start with Etsy to validate — lower ad costs, faster feedback loop than Amazon

🏷️ Tags

amazon etsy product-research ecommerce dropshipping fba private-label apify bestseller market-research product-validation keyword-research


Powered by Apify + Claude AI

Usage Guidance
Before installing or enabling this skill, get explicit answers to these points: (1) The SKILL.md requires an apify_token — the metadata should list this as a required credential; do not provide the token until you confirm where and how it's stored and used. (2) Clarify how 'Claude AI' is invoked: does the skill send scraped text to an external Claude endpoint (requiring a separate API key) or use the platform model? If external, that credential/endpoint should be declared. (3) The skill uses third-party Apify actors (IDs listed). Verify the reputation and behavior of those actors (they will receive your queries/data). (4) Scraping Amazon/Etsy/Google can violate terms of service and may retrieve PII or copyrighted content; confirm acceptable use and consider limiting review counts / lookback_days during testing. (5) Because this is instruction-only and performs network requests, test it with a throwaway Apify token or limited-scope account and monitor outgoing requests. (6) If you need stronger assurance, ask the publisher to update the package metadata to declare required env vars (apify_token, any LLM API key), the data flows (which endpoints receive scraped data), and any storage/retention policies. If the publisher cannot explain these inconsistencies, treat the skill as untrusted.
Capability Analysis
Type: OpenClaw Skill Name: amazon-and-etsy-product-research Version: 1.0.0 The skill bundle provides a comprehensive workflow and prompt template for an AI agent to perform e-commerce product research using various Apify scrapers (e.g., Amazon, Etsy, Google Trends). While it requires an `apify_token` as input, this is a legitimate requirement for the stated functionality, and there are no instructions to exfiltrate this token or perform any unauthorized actions. The content consists of documentation, workflow descriptions, and a structured prompt for the LLM, all of which align with the stated purpose of market analysis.
Capability Assessment
Purpose & Capability
The SKILL.md describes Amazon and Etsy scraping via Apify actors, Google Trends/Search scraping, and final report generation with 'Claude AI' — all coherent with a product-research tool. However the skill metadata declares no required environment variables or primary credential while the SKILL.md input explicitly requires an apify_token. It also references Claude AI without declaring any credential or endpoint. The mismatch between declared requirements and actual inputs is concerning.
Instruction Scope
Runtime instructions instruct the agent to orchestrate multiple Apify actors and to scrape large volumes of data (top 50 products, 1000+ reviews, deep review mining). This implies transmitting scraped content to Apify and to an LLM (Claude). The SKILL.md does not constrain what data is collected beyond the niche, nor does it state where scraped data or intermediate results will be stored/transmitted, which broadens the data-exfiltration surface.
Install Mechanism
There is no install spec and no code files — the skill is instruction-only, which minimizes disk-write/install risk. The primary runtime risk is network I/O to Apify and any external LLM endpoints, not local installation actions.
Credentials
The SKILL.md input schema requires an apify_token but the skill metadata lists no required env vars or primary credential. Additionally, the skill references 'Claude AI' without specifying whether a Claude API key or other credential is required. Requesting an Apify token and sending scraped content to external services is reasonable for this functionality — but the omission from declared requirements is an incoherence and a security/operational gap that should be fixed.
Persistence & Privilege
The skill does not request permanent presence (always:false), has no install script, and does not modify other skills or system configs. Autonomous invocation is allowed by default (disable-model-invocation:false) but that is expected behavior and not an additional red flag by itself.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install amazon-and-etsy-product-research
  3. After installation, invoke the skill by name or use /amazon-and-etsy-product-research
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Amazon & Etsy Bestseller Product Research Engine — Initial Release - Instantly generates comprehensive product research reports for any niche on Amazon, Etsy, or both. - Automatically analyzes bestsellers, pricing, review gaps, search trends, profit margins, and untapped opportunities. - Includes in-depth review mining, pricing intelligence, Google Trends analysis, keyword and SEO research, profit margin estimation, and sourcing insights. - Outputs a ranked product opportunity list with detailed recommendations, keyword goldmine, seasonal insights, and supplier suggestions. - Powered by multiple Apify data actors and advanced workflow automation for e-commerce founders, dropshippers, and sellers.
Metadata
Slug amazon-and-etsy-product-research
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Amazon And Etsy Product Research?

Generates detailed Amazon and Etsy product research reports with bestsellers, pricing gaps, review insights, trends, profit margins, and listing strategies f... It is an AI Agent Skill for Claude Code / OpenClaw, with 72 downloads so far.

How do I install Amazon And Etsy Product Research?

Run "/install amazon-and-etsy-product-research" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Amazon And Etsy Product Research free?

Yes, Amazon And Etsy Product Research is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Amazon And Etsy Product Research support?

Amazon And Etsy Product Research is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Amazon And Etsy Product Research?

It is built and maintained by nicemaths123 (@nicemaths123); the current version is v1.0.0.

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