Best Reddit Review Search

Find authentic Reddit reviews and discussions with precision keyword search.

Stop manually scrolling through endless Reddit threads. Instantly discover product reviews, customer feedback, brand mentions, and real user opinions across all subreddits with powerful keyword search and complete comment extraction.

🤝 Support & Community

📧 Support: Contact Us 💬 Community: Telegram Group

🏆 Key Features

🔍 Keyword-Powered Discovery

• 🎯 Cross-Subreddit Search: Search across all of Reddit with a single query to find relevant discussions anywhere.
• 📊 Relevance Sorting: Multiple sorting options (relevance, hot, top, new, comments) to surface the most valuable content first.
• ⏰ Time Filtering: Filter results by time period (hour, day, week, month, year, all) to find recent or historical discussions.
• 🎪 Precision Matching: Advanced search syntax support for exact phrases, exclusions, and boolean operators.

💬 Complete Discussion Context

• 🗨️ Full Comment Trees: Extract every comment and reply to understand the complete conversation flow.
• 📈 Engagement Metrics: Precise upvote/downvote counts, scores, and crosspost data for each post and comment.
• 👤 Author Information: Username, creation time, edit history, and submitter status for authenticity verification.
• 🔗 Direct Links: Permanent URLs to every post and comment for easy reference and verification.

📊 Rich Metadata Extraction

• 🏷️ Content Classification: Flair tags, subreddit type, subscriber counts, and community context.
• 🎯 Post Status: Archived, locked, stickied, pinned, NSFW, spoiler, and original content flags.
• 📹 Media Detection: Thumbnail URLs, media links, and content type identification.
• 🔍 SEO Signals: Indexable status, no-follow attributes, and content quality scores.

🎯 Subreddit Intelligence

• 📍 Community Context: Subreddit name, type (public/private), and subscriber counts for each post.
• 📊 Engagement Patterns: Analyze which communities generate the most discussion around your keywords.
• 🔄 Crosspost Tracking: Discover duplicate posts and crossposted content across multiple subreddits.

💰 Pricing

Resource	Cost	Description
Actor Usage	$0.00001	Charged for Actor runtime. Cost depends on resource consumption during execution
Post	$0.0058	Cost per post scraped with full metadata (comments, title, content, votes, etc.)
Comment	$0.00078	Cost per comment scraped with full metadata (author, text, votes, etc.)

Example Cost Calculation:

• Searching for 10 posts with 50 comments each
• Cost: (10 × $0.0058) + (500 × $0.00078) = $0.448 + runtime fees

🌟 Why choose this Actor?

Built for marketers, researchers, and product teams, this Actor transforms Reddit's vast discussion archive into actionable customer intelligence.

Feature	Reddit Review Search	Manual Search	Reddit API	Other Scrapers
Search Scope	✅ All subreddits	⚠️ One at a time	✅ Full access	⚠️ Limited
Comment Depth	✅ Full threads	❌ Manual copy	⚠️ Rate limited	⚠️ Top level
Time Filtering	✅ 6 options	❌ Manual scroll	✅ Supported	⚠️ Basic
Engagement Data	✅ Vote splits	❌ Not visible	✅ Available	⚠️ Scores only
Batch Export	✅ JSON/CSV/Excel	❌ Copy-paste	❌ Code required	✅ Supported
Setup Time	✅ Instant	❌ Hours	❌ OAuth setup	⚠️ Configuration
Cost per Search	✅ $0.45-$2	❌ Free (manual)	⚠️ Enterprise	⚠️ Varies

💻 Input Parameters

Parameter	Type	Required	Description
query	string	✅ Yes	Search keywords to find Reddit posts. Supports phrases, boolean operators, and advanced search syntax (e.g., "best laptop" OR "laptop review" -gaming)
max_posts	integer	✅ Yes	Maximum number of posts to extract from search results (sorted by selected sort method)
sort_by	string	✅ Yes	Sorting method for search results. Options: relevance (best match), hot (trending), top (highest score), new (most recent), comments (most discussed)
time_filter	string	✅ Yes	Time period to filter posts. Options: all (all time), hour (past hour), day (past 24h), week (past 7 days), month (past 30 days), year (past 12 months)
comments	boolean	✅ Yes	Extract all comments and replies from each post. Set to true for complete discussion context, false for post metadata only

📝 Example Input

{
  "query": "best noise cancelling headphones",
  "max_posts": 20,
  "sort_by": "relevance",
  "time_filter": "month",
  "comments": true
}

📤 Output Structure

Field	Type	Description
processor	string	URL of the Apify actor that processed this data
processed_at	string	ISO formatted timestamp when the data was processed
subreddit	string	Name of the subreddit community where this post was published
subreddit_type	string	Access level of the subreddit (public, private, restricted, archived, employees_only, gold_restricted)
subreddit_subscribers	integer	Total number of members subscribed to this subreddit community
id	string	Unique Reddit post identifier used for API calls and direct linking
author	string	Reddit username of the user who created this post
created	string	ISO 8601 timestamp (UTC) when the post was originally published on Reddit
edited	string	ISO 8601 timestamp (UTC) of the last edit, or null if never edited
link	string	Permanent URL to access this Reddit post and its discussion thread
flair_text	string	Post flair tag used to categorize content within the subreddit (e.g., Discussion, Question, News)
title	string	Headline or title text of the Reddit post
body	string	Full text content of the post (selftext), empty for link-only posts
score	integer	Net karma score calculated as upvotes minus downvotes, indicating post popularity
upvotes	integer	Total number of positive votes received by this post
downvotes	integer	Total number of negative votes received by this post
crossposts	integer	Number of times this post has been shared to other subreddits
archived	boolean	Indicates if the post is archived (older than 6 months, no new votes/comments allowed)
locked	boolean	Indicates if moderators have locked the post to prevent new comments
stickied	boolean	Indicates if this post is pinned to the top of the subreddit by moderators
pinned	boolean	Indicates if the post is pinned to the user's profile
hidden	boolean	Indicates if the post has been hidden from the user's feed
over_18	boolean	Indicates if the post contains adult/NSFW content requiring age verification
spoiler	boolean	Indicates if the post is marked as containing spoilers for movies, TV shows, games, etc.
original	boolean	Indicates if the author marked this as original content (OC) created by themselves
advertising	boolean	Indicates if this post was created through Reddit's advertising platform
indexable	boolean	Indicates if search engines are allowed to index this post for SEO
crosspostable	boolean	Indicates if users are allowed to crosspost this content to other subreddits
thumbnail	string	URL of the preview thumbnail image, or 'self' for text posts, 'default' for links without images
media_url	string	Direct URL to attached media content (images, videos, external links), null if same as post link
no_follow	boolean	Indicates if the post has nofollow attribute for SEO link juice control
content_score	integer	Reddit's internal content quality score (whitelist score) used for ranking and filtering
duplicates	array	Array of URLs pointing to duplicate or crossposted versions of this content in other subreddits
comments	array	Array of user comments and replies extracted from this Reddit post's discussion thread

Comment Fields

Field	Type	Description
id	string	Unique comment identifier
is_root	boolean	Whether this is a root comment (top-level, not a reply)
created	string	ISO 8601 timestamp (UTC) when the comment was created
edited	string	ISO 8601 timestamp (UTC) when the comment was last edited
author	string	Username of the comment author
body	string	Text content of the comment
upvotes	integer	Number of upvotes on the comment
downvotes	integer	Number of downvotes on the comment
score	integer	Net score of the comment (upvotes - downvotes)
archived	boolean	Whether the comment is archived
locked	boolean	Whether the comment is locked
stickied	boolean	Whether the comment is stickied by moderators
submitter	boolean	Whether the comment author is the original post author
parent_id	string	ID of the parent comment or post
reply_level	integer	Depth level of the comment in the thread (0 for root comments)
url	string	Direct link to the comment

📤 Example Output

{
  "processor": "https://apify.com/cheapget/reddit-review-search?fpr=aiagentapi",
  "processed_at": "2026-01-01T12:58:14+00:00",
  "subreddit": "headphones",
  "subreddit_type": "public",
  "subreddit_subscribers": 2500000,
  "id": "abc123",
  "author": "audiophile_pro",
  "created": "2025-12-15T10:30:00+00:00",
  "edited": null,
  "link": "https://www.reddit.com/r/headphones/comments/abc123/best_noise_cancelling_headphones_2025/",
  "flair_text": "Review",
  "title": "Best Noise Cancelling Headphones 2025 - Comprehensive Review",
  "body": "After testing 15 different models, here's my honest review...",
  "score": 1250,
  "upvotes": 1320,
  "downvotes": 70,
  "crossposts": 3,
  "archived": false,
  "locked": false,
  "stickied": false,
  "pinned": false,
  "hidden": false,
  "over_18": false,
  "spoiler": false,
  "original": true,
  "advertising": false,
  "indexable": true,
  "crosspostable": true,
  "thumbnail": "https://reddit.com/thumbnail.jpg",
  "media_url": null,
  "no_follow": false,
  "content_score": 85,
  "duplicates": [],
  "comments": [
    {
      "id": "comment1",
      "is_root": true,
      "created": "2025-12-15T11:00:00+00:00",
      "edited": null,
      "author": "music_lover",
      "body": "Great review! I've been using the Sony WH-1000XM5 for 6 months and totally agree with your assessment.",
      "upvotes": 45,
      "downvotes": 2,
      "score": 43,
      "archived": false,
      "locked": false,
      "stickied": false,
      "submitter": false,
      "parent_id": "abc123",
      "reply_level": 0,
      "url": "https://www.reddit.com/r/headphones/comments/abc123/comment/comment1/"
    }
  ]
}

🔌 Integrations

Seamlessly connect this actor to your existing pipelines via the Apify API.

Ⓜ️ Make.com Integration

Get Started with Make.com (1000 Free Credits) 🎁

┌────────────────────────────────────────────┐
│  Step 1: Configure Actor Module            │
│  ├─ Add Module: "Run an Actor"             │
│  ├─ Enable Map: Toggle ON                  │
│  ├─ Actor ID: cheapget/reddit-review-search│
│  ├─ Refresh: Click Refresh button          │
│  └─ Input JSON: Add search query           │
└────────────────────────────────────────────┘
         ↓
┌────────────────────────────────────────────┐
│  Step 2: Set Execution Mode                │
│  └─ Run synchronously: YES                 │
└────────────────────────────────────────────┘
         ↓
┌────────────────────────────────────────────┐
│  Step 3: Retrieve Results                  │
│  ├─ Add Module: "Get Dataset Items"        │
│  └─ Dataset ID: defaultDatasetId           │
└────────────────────────────────────────────┘

🎱 N8N.io Integration

Open Source Workflow Automation ⚡

┌────────────────────────────────────────────┐
│  Step 1: Add Apify Node                    │
│  ├─ Search: "Run an Actor and get dataset" │
│  └─ Category: Apify                        │
└────────────────────────────────────────────┘
         ↓
┌────────────────────────────────────────────┐
│  Step 2: Configure Actor                   │
│  ├─ Selection Mode: By ID                  │
│  ├─ Actor ID: cheapget/reddit-review-search│
│  └─ Paste from Actor ID section above      │
└────────────────────────────────────────────┘
         ↓
┌────────────────────────────────────────────┐
│  Step 3: Set Input Parameters              │
│  └─ Modify Input JSON with search query    │
└────────────────────────────────────────────┘

📚 API Documentation

• MCP API - Model Context Protocol integration
• Python API - Complete Python client documentation with examples
• JavaScript API - Node.js and browser integration guide

🏗️ Metadata for Developers (JSON-LD)

{
  "@context": "https://schema.org",
  "@type": "SoftwareApplication",
  "name": "Reddit Review Search - Find Authentic User Reviews",
  "alternateName": [
    "Reddit Review Finder",
    "Reddit Product Review Scraper",
    "Reddit Opinion Search",
    "Reddit Feedback Analyzer"
  ],
  "applicationCategory": "DeveloperApplication",
  "applicationSubCategory": "Social Media Data Extraction",
  "operatingSystem": "Cloud",
  "offers": {
    "@type": "Offer",
    "price": "0.00",
    "priceCurrency": "USD",
    "priceValidUntil": "2099-12-31",
    "availability": "https://schema.org/InStock"
  },
  "description": "Search Reddit for authentic product reviews, customer feedback, and user opinions with keyword search. Extract complete discussion threads with comments, votes, and engagement metrics for market research and sentiment analysis.",
  "featureList": [
    "Cross-subreddit keyword search",
    "Complete comment thread extraction",
    "Engagement metrics (upvotes, downvotes, scores)",
    "Time-based filtering (hour to all-time)",
    "Multiple sorting options (relevance, hot, top, new)",
    "Subreddit context and metadata",
    "Export to JSON, CSV, Excel formats",
    "API integration for automation",
    "Real-time data extraction"
  ],
  "keywords": "reddit search, reddit review finder, reddit product reviews, reddit customer feedback, reddit opinion mining, reddit sentiment analysis, reddit market research, reddit discussion scraper, reddit comment extractor, social listening, brand monitoring, product research, customer intelligence, reddit data extraction, reddit analytics, user feedback analysis, reddit scraper, reddit api alternative, reddit automation, competitive intelligence",
  "aggregateRating": {
    "@type": "AggregateRating",
    "ratingValue": "4.9",
    "ratingCount": "500",
    "bestRating": "5"
  },
  "author": {
    "@type": "Organization",
    "name": "cheapget",
    "url": "https://apify.com/cheapget"
  },
  "softwareVersion": "1.0",
  "datePublished": "2024-01-01",
  "dateModified": "2026-01-01"
}

🚀 Performance Tips

Optimize your extraction runs for speed, cost, and data quality with these best practices:

💰 Cost Optimization

• Test First: Start with 5-10 posts to verify search query quality before processing large batches
• Skip Comments: Set comments: false if you only need post metadata to reduce costs by 80-90%
• Refine Queries: Use specific keywords to get more relevant results and avoid processing irrelevant posts

⚡ Speed Optimization

• Limit Posts: Keep max_posts under 50 for faster results (typically completes in 2-5 minutes)
• Recent Content: Use shorter time filters (day, week) for faster processing than "all time"
• Relevance Sort: "relevance" and "hot" sorting typically return results faster than "top" or "new"

🛡️ Data Quality Tips

• Specific Keywords: Use detailed search queries like "Sony WH-1000XM5 review" instead of just "headphones"
• Time Filtering: Use "month" or "week" filters to get recent, relevant discussions
• Comment Context: Enable comments for sentiment analysis to understand the full conversation

📊 Best Practices

• Search Syntax: Use quotes for exact phrases ("best laptop"), OR for alternatives, minus (-) for exclusions
• Multiple Searches: Run separate searches for different product variations or keywords
• Regular Monitoring: Schedule daily/weekly searches to track evolving sentiment and new discussions

❓ FAQ

What can I search for on Reddit?

You can search for anything: product reviews, brand mentions, customer complaints, feature requests, competitor discussions, industry trends, or any topic with Reddit discussions. The search covers all public subreddits.

How many posts can I extract?

There's no hard limit, but we recommend 10-50 posts per search for optimal cost and speed. For larger datasets, run multiple targeted searches with refined keywords.

Are comments included?

Yes! Set comments: true to extract complete comment threads with all replies, votes, and author information. Set to false if you only need post metadata.

How do I find product reviews?

Use specific product names in your query (e.g., "iPhone 15 Pro review", "Tesla Model 3 owner experience"). Sort by "relevance" or "top" and filter by "month" or "year" for recent reviews.

Can I filter by subreddit?

This Actor searches across all subreddits. To limit to specific communities, add the subreddit name to your query (e.g., "laptop review subreddit:laptops").

How accurate is the data?

All data is extracted directly from Reddit with 100% accuracy. Engagement metrics (votes, scores) reflect real-time values at extraction time.

What output formats are available?

The Actor outputs data in JSON format by default. You can export results to CSV or Excel formats using Apify's dataset export features.

How long does processing take?

Processing time depends on the number of posts and comments. Typically:

• 10 posts without comments: 30-60 seconds
• 10 posts with comments: 2-3 minutes
• 50 posts with comments: 5-10 minutes

Can I track brand mentions over time?

Yes! Schedule regular searches with the same keywords to monitor brand sentiment, track emerging issues, and identify trending topics in your industry.

What about private subreddits?

This Actor only accesses publicly available content. Private or restricted subreddits cannot be searched or accessed.

🏷️ Reddit Review Search

🔥 Search Terms: reddit review search, reddit product reviews, reddit customer feedback, reddit opinion finder, reddit sentiment analysis, reddit brand monitoring, reddit market research, reddit discussion scraper, reddit comment extractor, social listening tool, customer intelligence, product research tool, reddit data extraction, reddit analytics, user feedback analysis, reddit scraper, reddit api alternative, competitive intelligence, reddit automation, brand reputation monitoring, customer insight tool, reddit trend analysis, social media research, reddit opinion mining, product feedback finder, reddit search tool, customer review aggregator, reddit sentiment tracker, social intelligence platform

💼 Use Case: product-research customer-feedback brand-monitoring market-research sentiment-analysis competitive-intelligence social-listening reputation-management customer-insights trend-analysis opinion-mining review-aggregation voice-of-customer product-development marketing-research consumer-insights brand-intelligence feedback-analysis social-intelligence customer-experience product-validation market-intelligence audience-research content-discovery crisis-monitoring feature-requests pain-point-discovery user-research

⚖️ Legal & Compliance

This actor extracts publicly available data only. It does not bypass authentication, access private content, or violate platform terms of service. You are responsible for:

• Data Rights: Ensuring you have permission to collect and use the extracted data
• Privacy Compliance: Adhering to GDPR, CCPA, and other applicable privacy laws when processing data
• Platform Terms: Respecting the platform's terms of service and usage policies
• Ethical Use: Using extracted data responsibly and in compliance with applicable laws

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