Reddit Market Research - Complaints and Feature Gaps
Upvoted r/SaaS, r/Notion, r/ProductManagement and r/webdev threads with up to 50 replies each, where people say what a tool gets wrong. Text posts only.
What this run is set to
The settings saved on this example. Every one of them is editable once you open it on Apify — these are a starting point, not a limit.
| Setting | Value | What it does |
|---|---|---|
Sources (subreddits or user profiles) | r/SaaS, r/Notion, r/ProductManagement +1 more | Any mix of subreddits and Reddit user profiles. |
Fetch method | rss | rss = no key/login needed (recommended, default). |
Sort | top | top, hot (trending), new (latest), rising, or controversial. |
Time range | month | Time window for 'top' and 'controversial' sorts (ignored for hot/new/rising). |
Max stories per subreddit | 50 | How many qualifying stories to return per subreddit. |
Minimum upvotes | 10 | Skip posts below this upvote count. |
Min words (short-form fit) | 40 | Skip stories shorter than this (too thin for a short). |
Text stories only | on | Keep only self/text-post stories (skip link/image posts) and apply the word-count fit. |
Clean narration text | on | Strip markdown/links/edit-stamps and produce TTS-ready sentences. |
Comments per post | 50 | Fetch up to this many top comments per post (0 = none). |
Pricing
$0.0005 per Reddit post = $0.5 per 1,000
| You are charged for | When | Price |
|---|---|---|
| Reddit post scraped | One Reddit post in the dataset. | $0.0005 |
Pay-per-event pricing: you are billed per result, not per subscription. Billing is handled by Apify on your own account. These are the live Apify store prices, in effect since 2026-08-04, and they are what you are actually charged.
What you get
A structured dataset — each result includes fields like:
authorcreatedUtcfetchedAtfitsShortflairhookScoreidisStorynarrationnumCommentsover18postTypereadTimeSecondsscoresubreddittitleselftextfetchedCommentCounturlExport every run as JSON, CSV or Excel, or send it to your app, a database, Google Sheets, or an AI agent.
More use cases for Reddit Scraper
- Try
- Reddit Dataset Builder for LLM Fine-Tuning and RAGReddit Relationship Stories for YouTube and TikTokReddit Horror Stories from r/nosleep for NarrationReddit Stock Sentiment: WSB, r/stocks and r/optionsReddit Crypto Sentiment Data from r/CryptoCurrencyReddit Trending Topics - Rising Posts in Niche Subs
Built on Reddit Scraper — every input, output field, price and the full how-to are on the tool page.
Where this tool sits
- Categories
- Social Media Scrapers
- Platforms