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Market Discovery
Start with subreddits, feeds, scores, and keywords. Move beyond one-off thread scraping into repeatable market research.
Reddit voice-of-customer research
Reddit Research With Receipts.
Discover Reddit threads, extract comment context, and cluster pains, objections, requests, and buying triggers with source links.
·Chrome Extension·No account needed·Local-first
Status: Operational
Stop mining raw data. Start harvesting customer language.
Free handles clean exports. Starter adds subreddit discovery and saved context. Pro turns a niche into repeatable research. Research scales high-volume evidence work.
Core Systems
A research workbench, not a raw exporter.
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Evidence Clusters
Group raw comments into pains, requests, objections, failed solutions, buying triggers, and competitor mentions.
03
Research Exports
Export clean CSV, JSON, and Markdown evidence packs built for spreadsheets, briefs, docs, and LLM prompts.
Workflow
From subreddit to sourced insight.
Step 01
Discover
Point Subharvest at a niche. Find high-signal Reddit threads across selected subreddits before you scrape anything.
Step 02
Extract
Capture comment trees with context: parent IDs, depth, submitter flags, timestamps, scores, authors, and permalinks.
Step 03
Prove
Turn clusters into a research brief where every insight links back to the original Reddit evidence.
Output Preview
What evidence clusters look like.
Generated from 247 Reddit comments across 6 subreddits.
01
"Every scraper I tried flattens the comment tree. I lose all context about what they were replying to."
02
"I don't trust cloud tools with my research data. I need something that stays local."
03
"I just want the raw comments with scores, timestamps, and links so I can do my own analysis."
04
"The moment I saw the nested context preserved with parent IDs, I knew this was different."
05
"Tried PRAW, tried the API, tried copy-paste. None of them gave me research-ready output."
06
"I spend 3 hours manually collecting comments for every niche I research. There has to be a better way."
Evidence Format
Evidence packs, not mystery summaries.
r/SaaS - Pain cluster3 source comments
"Most scraping tools lose the nested context. If I cannot see what they were replying to, I cannot validate the pain point."
- Cluster
- Pain points, requests, objections
- Fields
- parent_id, depth, OP flag, score, timestamp, permalink
- Output
- Markdown evidence pack plus CSV and JSON
User Feedback
What researchers say.
R
Research LeadJul 2026
Finally a Reddit tool that preserves comment depth and context. Every other scraper flattens the tree. This keeps the evidence chain intact.
M
Marketing FounderJun 2026
I used to spend hours manually collecting Reddit comments for ad research. Subharvest cut that to minutes. The evidence packs are incredibly useful.
D
Data AnalystJun 2026
Clean CSV exports with parent IDs, depth levels, and permalinks. This is what I actually need for analysis, not some AI summary.
S
Solo ResearcherJul 2026
Local-first approach sold me. My research data stays in my browser until I explicitly export it. No cloud dependency, no account wall.
A
Agency StrategistJun 2026
The pain, objection, and buying trigger clusters are game-changing. I can hand a research brief to copywriters with actual Reddit evidence attached.
Comparison
Win on Reddit depth first.
Parameter
Broad scraper
Subharvest
Core job
Export comment text
Build evidence-backed Reddit research
Discovery
Manual thread hunting
Subreddit discovery and bulk queues
Context
Flattened comments
Parent IDs, depth, OP flags, links
Analysis
Generic summaries
Pains, requests, objections, triggers
Exports
CSV download
CSV, JSON, Markdown evidence packs
Privacy
Account or cloud workflow
Local-first by default
Founding pricing
Pricing tied to research value.
Launch rates for early users. Future pricing may change for new customers. Scraped Reddit research stays local unless you export and share it yourself.
Solo research
Starter
$4/mo
Billed $48 annually
Subreddit discovery plus saved context
- Subreddit discovery
- Small research queues
- Saved local projects
- Markdown evidence packs
- Light run history
- Sheets-ready TSV exports
Recommended
Most useful
Pro
$6/mo
Billed $72 annually
The complete repeat research workflow
- Larger bulk queues
- More saved projects
- Cross-run dedupe
- Run comparison
- Airtable and Notion presets
- Project evidence exports
High-volume research
Research
$10/mo
Billed $120 annually
The largest local research workspace
- New since last run
- Tracked-term evidence filters
- Competitor mention tracking
- Larger queues
- Longer project history
- Up to 5 extension devices
FAQ
System Queries.
How does the extraction work?
Subharvest reads Reddit JSON from your browser context, preserves comment metadata, and keeps source links attached to every exported row and insight.
What metadata is preserved?
We keep everything: comment depth, parent IDs, author flags (OP, Mod, Admin), exact Unix timestamps, and full permalinks.
Is there an AI layer?
The current public build uses deterministic local signal rules. Any future AI layer should sit on top of source-linked evidence packs instead of replacing inspectable comments.
Are paid tiers live?
Yes. Free, Starter, Pro, and Research are wired through Stripe. After checkout, use the Account Center to manage billing, refresh license access, and connect the extension.
Ready for input