Reddit Product Research Scraper
Pricing
$25.00/month + usage
Reddit Product Research Scraper
Reddit product research for Amazon sellers and e-commerce brands. Classifies every mention as complaint, feature request, praise, or question — counts + top examples per keyword. Turn Reddit's unfiltered opinions into your product roadmap.
Pricing
$25.00/month + usage
Rating
0.0
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Developer
Mark West
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Bookmarked
2
Total users
1
Monthly active users
3 days ago
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Reddit Product Research Scraper — Find What Reddit Users Want, Hate, and Are Asking About
Search Reddit for any product or category. Every mention classified — complaint, feature request, praise, or question. Counts and top examples per category, per keyword.
One run. Every Reddit mention tagged. Clear breakdown of what users are complaining about, what features they want, what they love, and what they're still deciding — so you can build better products, write sharper listings, and outposition your competitors.
What It Does
Reddit is the world's largest product focus group — millions of real users discussing products, sharing frustrations, requesting features, and asking for recommendations. This actor searches Reddit for your product or category keywords, classifies every post and comment into one of four categories, and returns a clear summary per keyword: how many complaints, how many feature requests, how many praise mentions, how many questions.
How Classification Works
Each mention is classified by scanning for patterns in the title and body text, in priority order:
1. Feature Request — "I wish", "would be nice", "please add", "needs a", "missing a", "if only it had" The single most valuable signal for product teams. Direct evidence of what users want but don't have.
2. Complaint — "terrible", "broken", "doesn't work", "waste of money", "returning it", "avoid" Pain points and failure modes. What competitors are getting wrong. What to fix before launch.
3. Question — Contains ?, or phrases like "looking for", "alternatives to", "should I", "anyone tried"
Buyers in research mode. People actively deciding between products.
4. Praise — "love it", "highly recommend", "game changer", "works perfectly", "best purchase" What's resonating. Proof points to use in your marketing and listings.
5. General — Mentions that don't match any of the above patterns.
Output
Two types of records in the dataset:
Research Summary (one per keyword)
| Field | Description |
|---|---|
keyword | The search keyword |
totalMentions | Total mentions analysed |
complaintCount | Number of complaint mentions |
featureRequestCount | Number of feature request mentions |
praiseCount | Number of praise mentions |
questionCount | Number of question/research mentions |
topComplaint | Highest-buzz complaint (title + URL) |
topFeatureRequest | Highest-buzz feature request (title + URL) |
topPraise | Highest-buzz praise mention (title + URL) |
topQuestion | Highest-buzz question (title + URL) |
Mentions (one per post or comment)
| Field | Description |
|---|---|
category | complaint, feature_request, praise, question, or general |
contentType | post or comment |
matchedKeywords | Which of your keywords matched this mention |
title | Post title |
body | Comment text (for comments) |
subreddit | Which subreddit |
score | Reddit upvote score |
upvoteRatio | Upvote ratio (posts only) |
buzzScore | Engagement momentum score |
postUrl | Link to the post |
commentUrl | Link to the comment (for comments) |
author | Reddit username |
createdAt | When it was posted |
Getting Started
- Enter your product names or categories (e.g. "standing desk", "protein powder", "wireless earbuds")
- Set your time window (past month is a good default for product research)
- Run — get a classified breakdown per keyword + every mention tagged
Use Cases
Amazon seller research Before launching a product, search your category. Read the top complaints — those are your listing bullet points ("unlike competitors, this one doesn't X"). Read the feature requests — those are your product differentiation opportunities.
Product roadmap input Search your product name. Sort by feature requests. That's your backlog, sourced directly from Reddit users who wanted the feature badly enough to post about it.
Competitor gap analysis Search your competitors' product names. Filter to complaints and feature requests. You now know exactly what their customers hate and what they're missing.
Listing and ad copy Search your category, filter to praise. Read what people love about the best products. Those phrases — in Reddit users' own words — are your copy.
Market validation Entering a new market? Search the category. High question count = active buying intent. High complaint count + low praise = ripe for disruption.
Input Parameters
| Parameter | Default | Description |
|---|---|---|
keywords | — | Products or categories to research (required) |
sortBy | new | Sort order: new, relevance, top, hot, comments |
timeFilter | month | Time window: hour, day, week, month, year, all |
searchPosts | true | Include Reddit posts |
searchComments | false | Include comments (slower, more coverage) |
subredditFilter | [] | Restrict to specific subreddits (optional) |
maxResultsPerKeyword | 100 | Max mentions per keyword |
minScore | 0 | Minimum upvote score to include |
proxyConfiguration | Residential | Proxy settings |
Related Actors
- Reddit Sentiment Tracker — positive/negative/neutral scoring with upvote ratio as community signal
- Reddit Brand Monitor — track mentions and score changes between scheduled runs
- Reddit Lead Gen Scraper — find people actively looking to buy what you sell
Built for Amazon sellers, Shopify store owners, e-commerce product managers, and DTC brands who want to turn Reddit's unfiltered product opinions into a competitive advantage.
