Reddit Software Reviews Scraper | Real User Opinions & Alternatives (2026)

Real-time Reddit opinions on any software product, structured with sentiment, alternatives, and use cases.

Search Reddit live for what real users think. Not cached data, not a static dump. Every run pulls fresh comments and runs AI extraction to surface genuine evaluations.

Zen Studio Software Reviews   •  Real-time review data across every major platform
Reddit Reviews ➤ You are here	G2 Reviews Ratings, pros/cons, segments	TrustRadius Reviews Enterprise reviews, trueScore

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Reddit Software Reviews Scraper (zen-studio/reddit-software-reviews-scraper) on Apify extracts real user opinions on any software product from Reddit. Each result includes: product name, raw comment text, sentiment (positive/negative/mixed/neutral), alternatives mentioned, use case classification, subreddit, author, upvotes, comment date, thread title, direct URL. Optional thread context adds original post body/author/upvotes. Input: query (product name, domain, G2/Capterra URL, or Reddit thread URL), maxResults (10-1000, default 500), dateRange (past30days/past90days/pastYear/allTime), includeThreadContext (boolean). Output: JSON dataset. Pricing: $0.10 start + $0.00999 per opinion + $0.00999 per thread context (optional). Free tier: 5 runs, 25 opinions per run. Apify token required.

Key Features

• Real-time Reddit search -- every run queries Reddit live, no cached or outdated data
• AI-powered extraction -- filters genuine opinions from noise, classifies sentiment, identifies alternatives and use cases
• Smart product discovery -- automatically finds the right subreddits, threads, and discussions for any product
• Works for any software -- from Notion (1000+ opinions) to GorillaDesk (3 opinions in r/PestControlIndustry)
• Free tier -- 5 runs, 25 opinions per run

How to Get Reddit Software Reviews

Search by product name

{
    "query": "Notion"
}

Search by G2 review page URL

{
    "query": "https://www.g2.com/products/clickup/reviews"
}

Recent opinions only

{
    "query": "Pipedrive",
    "dateRange": "past30days",
    "maxResults": 100
}

With full thread context (for LLM pipelines)

{
    "query": "Figma",
    "includeThreadContext": true,
    "maxResults": 50
}

Input Parameters

Parameter	Type	Default	Description
query	string	required	Product name, domain, G2/Capterra/TrustRadius URL, or Reddit thread URL
maxResults	integer	500	Maximum opinions to extract (10-1000)
dateRange	select	pastYear	past30days, past90days, pastYear, or allTime
includeThreadContext	boolean	false	Add original post text, author, and upvotes per thread

What Data Can You Extract from Reddit?

Every result includes:

• Opinion data -- raw comment text, AI-classified sentiment, use case
• Competitive intelligence -- other software tools mentioned in the same comment
• Source metadata -- subreddit, thread title, author, upvotes, direct URL, date
• Thread context (optional) -- original post that started the discussion

Demo

Output Example

{
  "product": "Notion",
  "comment": "Switched from Notion to Obsidian 6 months ago. Notion's web-first approach made it sluggish with large databases. Obsidian is instant because everything is local markdown. Miss the collaboration features though.",
  "sentiment": "mixed",
  "url": "https://reddit.com/r/productivity/comments/1abc123/comment/xyz789/",
  "threadTitle": "Is Notion overrated? What are you using instead?",
  "subreddit": "productivity",
  "author": "u/devtools_fan",
  "upvotes": 47,
  "commentDate": "2026-03-15T14:22:33+00:00",
  "alternativesMentioned": ["Obsidian"],
  "useCase": "knowledge management and databases",
  "threadBody": "I've been using Notion for 2 years and I'm starting to feel like it tries to do too much. The databases are slow, the mobile app is clunky...",
  "threadAuthor": "u/productivity_seeker",
  "threadUpvotes": 234,
  "scrapedAt": "2026-04-03T08:15:00.000Z"
}

threadBody, threadAuthor, and threadUpvotes only appear when includeThreadContext is enabled.

How It Works

The scraper runs a 3-stage pipeline per query:

1. Discovery -- identifies the product, finds relevant subreddits and high-signal threads
2. Collection -- searches multiple subreddits in parallel, harvests full comment trees from targeted threads
3. Extraction -- AI analyzes each comment, keeps only genuine evaluations, classifies sentiment and alternatives

The whole process takes 30-120 seconds depending on how much the product is discussed on Reddit.

Pricing -- Pay Per Event (PPE)

Event	Cost
Actor start	$0.10
Per opinion extracted	$0.00999
Per thread context (optional)	$0.00999

Free tier: 5 runs, 25 opinions per run.

Advanced Usage

Competitive analysis

Compare how Reddit talks about your product vs competitors. Run the scraper for each product and compare alternativesMentioned fields.

{
    "query": "Asana",
    "maxResults": 200
}

Sentiment monitoring

Schedule runs with past30days to track how opinions shift over time. Useful for detecting backlash after pricing changes or feature removals.

{
    "query": "Figma",
    "dateRange": "past30days",
    "maxResults": 100
}

LLM-powered report generation

Enable thread context and feed the results into GPT-4 or Claude for automated "What does Reddit think about X?" reports.

{
    "query": "Linear",
    "includeThreadContext": true,
    "maxResults": 100
}

Extract from a specific thread

Pass a Reddit thread URL to extract opinions from that specific discussion.

{
    "query": "https://www.reddit.com/r/sysadmin/comments/abc123/best_helpdesk_software/"
}

FAQ

How many opinions can I get?

Depends on how much the product is discussed on Reddit. Popular products (Notion, Slack, Airtable) can return 500+. Mid-size products (Pipedrive, Linear) typically yield 50-200. Very niche products may return fewer than 20.

What if a product has a generic name like "Linear" or "Monday"?

The scraper uses AI to distinguish between the software product and the common word. Comments about "linear algebra" or "Monday the day of the week" are automatically filtered out.

What if the product isn't discussed on Reddit?

You'll get 0 results. The scraper only returns genuine opinions it can verify. No padding with irrelevant data.

How fresh is the data?

Every run searches Reddit live. There is no cache. With past30days, you get opinions posted in the last 30 days.

What counts as an "opinion"?

A comment where someone evaluates the product. "Airtable is solid for project tracking" counts. "I pipe data into Airtable" does not. Questions like "Is Notion worth it?" are excluded.

Can I use a G2 or Capterra URL as input?

Yes. The scraper extracts the product name from the URL and searches Reddit for opinions about that product.

What's in alternativesMentioned?

Other software tools the commenter mentions in the same comment. If someone says "I switched from Notion to Obsidian," the alternatives array will contain ["Obsidian"].

What does includeThreadContext add?

The original post (OP) that started the Reddit discussion. Includes the post body, author, and upvotes. Useful when you need to understand what question or statement triggered the opinions.

Is there a free tier?

Yes. 5 runs with up to 25 opinions per run.

What subreddits does it search?

The scraper automatically discovers relevant subreddits for each product using AI. It typically searches 10-20 subreddits including the product's own subreddit (e.g., r/Airtable), category subreddits (r/projectmanagement), and general tech communities (r/SaaS).

Support

• Bugs: Issues tab
• Features: Issues tab

Legal Compliance

Extracts publicly available data from Reddit. Users must comply with Reddit's terms of service and applicable data protection regulations (GDPR, CCPA).

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Real user opinions on any software product, structured for analysis.