11---
22name : requesthunt
3- description : Generate user demand research reports from real user feedback. Scrape and analyze feature requests, complaints, and questions from Reddit, X, GitHub, YouTube, and LinkedIn . Use when user wants to do demand research, find feature requests, analyze user demand, or run RequestHunt queries.
3+ description : Generate user demand research reports from real user feedback. Scrape and analyze feature requests, complaints, and questions from Reddit, X, GitHub, YouTube, LinkedIn, and Amazon . Use when user wants to do demand research, find feature requests, analyze user demand, or run RequestHunt queries.
44---
55
66# RequestHunt Skill
77
8- Generate user demand research reports by collecting and analyzing real user feedback from Reddit, X (Twitter), GitHub, YouTube, and LinkedIn .
8+ Generate user demand research reports by collecting and analyzing real user feedback from Reddit, X (Twitter), GitHub, YouTube, LinkedIn, and Amazon .
99
1010## Prerequisites
1111
@@ -55,28 +55,31 @@ Each platform captures different types of user feedback. Choose platforms based
5555| ** LinkedIn** | B2B software, healthcare, enterprise tools | Professional/industry opinions, market context | Low volume but high engagement |
5656| ** X** | Trending topics, quick sentiment signals | Fragmented feedback, emotional reactions | Low-medium (1-6 per topic) |
5757| ** GitHub** | Open-source tools, developer infrastructure | Concrete bugs and feature requests from issues | High for OSS, zero for non-tech |
58+ | ** Amazon** | Consumer products, electronics, home goods | Product review complaints and feature wishes | High for physical products |
5859
5960### Recommended Platforms by Category
6061
6162| Category | Primary | Secondary | Notes |
6263| ----------| ---------| -----------| -------|
63- | ** Automotive / Hardware** | YouTube | Reddit | Video review comments are the richest source (dashcams: 29, EVs: 19) |
64- | ** Gaming / Entertainment** | YouTube | Reddit | Game streams and reviews generate natural feedback |
65- | ** Travel / Transportation** | YouTube | LinkedIn | Travel vlogs + LinkedIn for business travel needs |
64+ | ** Automotive / Hardware** | YouTube | Amazon, Reddit | Video review comments + Amazon product reviews are richest sources |
65+ | ** Gaming / Entertainment** | YouTube | Amazon, Reddit | Game streams, product reviews, and community feedback |
66+ | ** Travel / Transportation** | YouTube | Amazon, LinkedIn | Travel vlogs + Amazon gear reviews + business travel needs |
6667| ** Social / Communication** | YouTube | Reddit | App review videos + community discussions |
67- | ** Food / Dining** | YouTube | Reddit | Recipe and delivery app review comments |
68- | ** Real Estate / Home** | YouTube | X | Interior design and renovation videos dominate |
69- | ** Education / Learning** | YouTube | — | Tutorial video comments are the only reliable source |
70- | ** Health / Medical** | LinkedIn | X | Rare LinkedIn-dominant category (professional healthcare) |
68+ | ** Food / Dining** | YouTube | Amazon, Reddit | Recipe/ delivery app reviews + Amazon kitchen product feedback |
69+ | ** Real Estate / Home** | Amazon | YouTube, Reddit | Amazon dominates for home improvement and smart home products |
70+ | ** Education / Learning** | YouTube | Amazon | Tutorial video comments + Amazon course/book reviews |
71+ | ** Health / Medical** | LinkedIn | Amazon, X | Professional healthcare + Amazon health product reviews |
7172| ** Creator Economy** | Reddit | GitHub | Reddit communities overwhelmingly active (Newsletter: 176 requests) |
7273| ** Developer Tools** | Reddit | GitHub | Technical communities + open-source issue trackers |
7374| ** AI / SaaS Products** | Reddit | LinkedIn | Reddit for user complaints, LinkedIn for industry analysis |
75+ | ** Consumer Electronics** | Amazon | YouTube, Reddit | Amazon product reviews are the primary signal source |
7476
7577### Quick Selection Rules
7678
77- - ** Consumer / hardware / lifestyle** → YouTube first, Reddit second
79+ - ** Consumer / hardware / lifestyle** → Amazon + YouTube first, Reddit second
7880- ** Developer / creator tools** → Reddit first, GitHub second
7981- ** B2B / enterprise / medical** → LinkedIn first, X second
82+ - ** Physical products / electronics** → Amazon first, YouTube second
8083- ** Has open-source projects** → add GitHub
8184- ** Everything** → add X as a supplementary source
8285
@@ -105,8 +108,11 @@ requesthunt scrape start "code editors" --platforms reddit,github --depth 2
105108# B2B / enterprise — LinkedIn-first strategy
106109requesthunt scrape start " electronic health records" --platforms linkedin,x --depth 2
107110
111+ # Consumer products — Amazon-first strategy
112+ requesthunt scrape start " wireless earbuds" --platforms amazon,youtube,reddit --depth 2
113+
108114# Broad research — all platforms
109- requesthunt scrape start " AI coding assistants" --platforms reddit,x,github,youtube,linkedin --depth 2
115+ requesthunt scrape start " AI coding assistants" --platforms reddit,x,github,youtube,linkedin,amazon --depth 2
110116
111117# Search with expansion for more data
112118requesthunt search " dark mode" --expand --limit 50
@@ -124,7 +130,7 @@ Analyze collected data and generate a structured Markdown report:
124130
125131## Overview
126132- Scope: ...
127- - Data Sources: Reddit (N), X (N), GitHub (N), YouTube (N), LinkedIn (N)
133+ - Data Sources: Reddit (N), X (N), GitHub (N), YouTube (N), LinkedIn (N), Amazon (N)
128134- Platform Strategy: [ why these platforms were chosen for this category]
129135- Time Range: ...
130136
@@ -139,10 +145,10 @@ Analyze collected data and generate a structured Markdown report:
139145- Sources: [ which platforms surfaced this]
140146
141147### 3. Platform Signal Comparison
142- | Insight | Reddit | YouTube | LinkedIn | X | GitHub |
143- | ---------| --------| ---------| ----------| ---| --------|
144- | Volume | ... | ... | ... | ... | ... |
145- | Signal type | Technical | UX/Feature | Strategic | Sentiment | Bug/FR |
148+ | Insight | Reddit | YouTube | LinkedIn | X | GitHub | Amazon |
149+ | ---------| --------| ---------| ----------| ---| --------| -------- |
150+ | Volume | ... | ... | ... | ... | ... | ... |
151+ | Signal type | Technical | UX/Feature | Strategic | Sentiment | Bug/FR | Product |
146152
147153### 4. Competitive Comparison (if specified)
148154| Feature | Product A | Product B | User Expectations |
@@ -184,7 +190,7 @@ requesthunt list --sort top --limit 20 # Top voted
184190### Scrape
185191``` bash
186192requesthunt scrape start " developer-tools" --depth 1 # Default: all platforms
187- requesthunt scrape start " ai-assistant" --platforms reddit,x,github,youtube,linkedin --depth 2
193+ requesthunt scrape start " ai-assistant" --platforms reddit,x,github,youtube,linkedin,amazon --depth 2
188194requesthunt scrape status " job_123" # Check job status
189195```
190196
@@ -203,6 +209,6 @@ requesthunt config show # Check auth status
203209 - Pro tier: 2,000 credits/month, 60 req/min
204210- ** Costs** :
205211 - API call: 1 credit
206- - Scrape: depth x number of platforms credits
212+ - Scrape: depth x number of platforms credits (Amazon capped at depth 5)
207213- ** Docs** : https://requesthunt.com/docs
208214- ** Agent Setup** : https://requesthunt.com/setup.md
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