Market Discovery
Start with subreddits, feeds, scores, and keywords. Move beyond one-off thread scraping into repeatable market research.
Private Reddit evidence workspace
Reddit Research You Can Rerun—And Defend.
Find the threads. Keep the receipts. Preserve comment context and turn repeated source phrases into local evidence themes with exact contributing rows and openable links.
Local-first·No API keys needed·No account required (free)
Repeat the research. Reopen the evidence.
Projects preserve sources, tracked terms, seen/new state, and run comparisons so later research starts with memory instead of zero.
Core Systems
A research workbench, not a raw exporter.
Local Evidence Themes
Extract repeated source phrases with exact contributing rows, matched phrases, and openable Reddit context.
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 relevant 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 local themes into a research brief where every phrase, excerpt, and source link remains inspectable.
Output Preview
What local evidence themes look like.
Illustrative format—not a customer result. Production themes use phrases found directly in captured source rows.
01
"Every scraper I tried flattens the comment tree. I lose the context of what each reply answered."
02
"I need the research corpus to stay local until I choose to export it."
03
"Keep the original comments, scores, timestamps, and links so I can verify the analysis."
04
"Parent IDs and reply depth are necessary when the meaning depends on the conversation."
05
"A useful research pack needs evidence and methodology, not an unexplained summary."
06
"Repeat research should show what changed instead of starting from zero each time."
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
Repeated source phrases with exact row evidence
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
- Tracked competitor names
- Larger queues
- Longer project history
- Up to 5 extension devices
Paid checkout stays closed until production price IDs, billing cadence, and webhook delivery are verified.
FAQ
System Queries.
How does the extraction work?
Subharvest reads public Reddit JSON from your browser context, preserves comment metadata, and keeps source links attached to exported rows and local evidence themes.
What metadata is preserved?
Exports retain comment depth, parent IDs, author flags, timestamps, scores, authors, and full permalinks.
Is there an AI layer?
The current build uses deterministic local evidence themes. AI-ready exports keep quotes, context, and source links inspectable instead of replacing them with a black box.
Are paid tiers live?
Pricing is published for launch, but paid checkout remains unavailable until production prices and billing configuration are verified.
Ready for input