🔎 Reddit Pain Point & Demand Miner

Find out what people hate, what they are looking for and what they would pay for, straight from Reddit. Type a product, brand or topic (notion, shopify, invoice app) or a list of subreddits. The Actor finds the right communities, reads the posts and the comments of the most discussed threads, and labels every item as a complaint, "looking for a tool", feature request, question or praise. On top you get an insights report with top pain points, what people are searching for, competitor moves ("alternative to X", "switched from X to Y") and willing-to-pay mentions.

• ✅ Keyword or subreddit: notion finds r/Notion by itself. No subreddit for your topic? The keyword is searched in r/SaaS, r/Entrepreneur, r/smallbusiness, r/startups, r/software and r/productivity
• ✅ Posts + comments with upvotes, comment count, flair, date and link. No usernames are collected
• ✅ Every item labelled: complaint, looking for a tool, request, question, praise, other, plus a willingToPay flag
• ✅ Competitor moves: which brands people want an alternative to, which ones they leave and where they go
• ✅ Pain point and demand themes: recurring phrases, weighted by upvotes, with example posts
• ✅ HTML insights report + clean JSON / CSV / Excel
• ✅ No login, no Reddit API key. $1 per 1,000 results

🎯 Who is it for?

• Founders and indie hackers: validate an idea before you build it. Real people asking "is there a tool for…" is the best signal there is.
• Product managers: the top complaints about your product and your competitors, ranked by upvotes.
• Marketers and agencies: the exact words customers use, for ads, landing pages and cold emails.
• E-commerce sellers: what buyers complain about in r/AmazonSeller, r/shopify, r/FulfillmentByAmazon or any product niche.

🚀 Quick start

1. Type one or more keywords (e.g. notion) and/or subreddits (e.g. SaaS).
2. Pick a time window (default: last 90 days).
3. Click Start. Open the REPORT in the Storage tab, or download all posts and comments as JSON, CSV or Excel.

⬇️ Input examples

Everything people said about Notion in the last 30 days (this is the run the examples below come from):

{ "keywords": ["notion"], "days": 30, "maxPostsPerSubreddit": 150, "commentsFromTopPosts": 10 }

Idea validation: who is looking for an invoicing tool in small-business communities, demand signals only:

{ "keywords": ["invoice"], "subreddits": ["smallbusiness", "freelance", "Entrepreneur"], "days": 180, "onlyDemandSignals": true }

Weekly monitoring of a whole community (schedule it):

{ "subreddits": ["SaaS"], "days": 7, "maxPostsPerSubreddit": 500 }

⬆️ Output

One row per post or comment:

{
  "type": "post",
  "id": "1wl2t46",
  "subreddit": "Notion",
  "title": "anything similar to notion that’s not obsidian?",
  "text": "anything similar to notion that’s not obsidian?\n\ni have used notion for years because...",
  "label": "seeking",
  "willingToPay": false,
  "score": 63,
  "numComments": 51,
  "createdAt": "2026-09-20T00:55:16.000Z",
  "url": "https://www.reddit.com/r/Notion/comments/1wl2t46/",
  "flair": ":community: Community",
  "matchedKeyword": null,
  "postId": "1wl2t46",
  "postTitle": "anything similar to notion that’s not obsidian?"
}

Comments have "type": "comment", the postId and postTitle of their thread and a depth (0 = top-level).

The key-value store has OUTPUT (insights as JSON) and REPORT (HTML):

{
  "items": 675,
  "mix": { "complaint": { "count": 64, "share": 0.095 }, "seeking": { "count": 19, "share": 0.028 }, "request": { "count": 11, "share": 0.016 } },
  "willingToPay": { "count": 0, "examples": [] },
  "painPoints": [{ "theme": "price", "mentions": 7, "totalScore": 125, "examples": [] }, { "theme": "price increase", "mentions": 4, "totalScore": 102, "examples": [] }],
  "demandThemes": [{ "theme": "obsidian", "mentions": 6, "totalScore": 79, "examples": [] }],
  "competitorFlows": { "alternativesWanted": [], "leaving": [{ "name": "Evernote", "mentions": 1 }], "movingTo": [{ "name": "Obsidian", "mentions": 2 }] },
  "topSeeking": [], "topComplaints": [], "topRequests": [], "topQuestions": [],
  "subreddits": [{ "subreddit": "Notion", "items": 668, "complaint": 64, "seeking": 19, "request": 11 }]
}

💵 Pricing

Event	Price
Post or comment returned	$0.001 ($1 per 1,000)
Insights report (themes, competitor moves, willing to pay), once per run with 20+ items	$0.10

Example: the Notion run above (154 posts + 521 comments from the last 30 days) + the report = $0.78. With Only return demand signals you pay only for complaints, "looking for" posts, requests and willing-to-pay mentions, and the report still uses everything that was read.

🤖 Use it from AI agents (MCP)

Add this URL as an MCP server in Claude, Cursor or any MCP client and ask "What do people complain about in r/shopify this month?":

https://mcp.apify.com?tools=lsso/reddit-demand-miner

❓ FAQ

Where does the data come from? From a public, near real-time archive of Reddit (the same public posts and comments you can see on reddit.com), so no Reddit login or API key is needed.

How are items labelled? With keyword rules and negation handling, tuned for English. "Looking for a tool" means phrases like is there a tool for…, alternative to…, anything similar to…. A complaint needs a clear negative signal. Rules are fast, free and consistent; they are not perfect, so the report always links to the original posts.

Why are upvotes on very new posts low? The archive stores a post shortly after it is published, so upvote and comment counts of posts from the last day or two can be lower than on reddit.com. Older posts are accurate. Rankings use upvotes plus the comments the Actor actually read, so new threads still surface.

What about NSFW content? NSFW posts are skipped, and so are bots such as AutoModerator.

Is it legal? What about privacy? The Actor reads only public posts that anyone can see without logging in, through a public third-party archive of Reddit. It does not output usernames or any other personal data; only the post text, scores, dates and links. Reddit content belongs to its authors: use the results for research and analysis, and follow Reddit's terms and privacy laws such as GDPR in how you use and store them. Do not use the output to contact or track individual users.

📝 Changelog

• 1.1 (2026-09-25): Usernames are no longer collected. Faster runs (no extra requests to reddit.com). A report is created and charged only when at least 20 items are found. If the archive stops responding mid-run, you get (and pay for) the results collected so far.
• 1.0 (2026-09-24): First release: keyword and subreddit mode, automatic subreddit discovery, posts and comments, six labels, willing-to-pay flag, pain point and demand themes, competitor moves, HTML insights report.