01
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.
Status: Operational
Stop mining raw data. Start harvesting customer language.
Free handles clean exports. Hobby gives solo researchers more room. Pro turns a niche into repeatable research. Research keeps market intelligence updated.
Core Systems
A research workbench, not a raw exporter.
02
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
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
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
Pricing
Pricing tied to research value.
Early-access builds expose the local MVP while Stripe checkout, account login, and tier gates are prepared.
Solo researchers
Hobby
$48/yr
Save 20% yearly
Small queues plus saved context
- Subreddit discovery
- Small research queues
- Saved local projects
- Markdown evidence packs
- Light run history
- Spreadsheet-ready exports
Recommended
Most useful
Pro
$72/yr
Save 33% yearly
The complete repeat research workflow
- Larger bulk queues
- More saved projects
- Cross-run dedupe
- Run comparison
- Airtable and Notion presets
- Project evidence exports
Market monitoring
Research
$120/yr
Save 33% yearly
Recurring tracking and Sheets workflow
- Scheduled refresh (planned)
- New since last run
- Google Sheets sync
- Competitor mention tracking
- BYO-key AI summaries (planned)
- Larger queues and history
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 core engine is deterministic and local-first. AI summaries should sit on top of source-linked evidence packs, with a BYO-key option planned for the Research tier.
Are paid tiers live?
Not yet. Free, Hobby, Pro, and Research define the planned Stripe gates. The current early-access build focuses on validating the local Reddit research workflow before payments are enforced.
Ready for input