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Overview

The AnySite Reddit node allows you to extract valuable data from Reddit within your n8n workflows. Search posts, monitor subreddits, analyze discussions, and track community sentiment.

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Node Configuration

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Authentication

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credential
AnySite API Credentials
required
Select your AnySite API credentials from the dropdown or create new ones.

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Available Operations

  • Search Posts
  • Get Post Comments
  • Get Subreddit Info
  • Monitor Hot Posts
Search for Reddit posts across all subreddits or within specific communities.Parameters:
  • Query (required): Search terms for finding posts
  • Subreddit: Specific subreddit to search (optional)
  • Sort: “relevance”, “hot”, “new”, “top”
  • Time Range: “hour”, “day”, “week”, “month”, “year”, “all”
  • Limit: Maximum results to return (1-100)
Example Output:
{
  "posts": [
    {
      "id": "post123",
      "title": "How to build scalable web applications",
      "text": "Here's what I learned after building 10+ web apps...",
      "subreddit": "webdev",
      "author": "experienced_dev",
      "score": 245,
      "upvoteRatio": 0.92,
      "comments": 67,
      "created": "2024-08-26T10:30:00Z",
      "url": "https://reddit.com/r/webdev/comments/abc123/"
    }
  ]
}

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Workflow Examples

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Brand Monitoring

1

Monitor Mentions

Search for posts mentioning your brand, product, or competitors across relevant subreddits.
2

Analyze Sentiment

Use AI nodes to analyze sentiment and identify positive/negative discussions.
3

Track Engagement

Monitor upvotes, comments, and discussion activity around your brand.
4

Alert Team

Send notifications for high-impact mentions or negative sentiment.
Example Workflow: 
{
  "nodes": [
    {
      "name": "Monitor Brand Mentions",
      "type": "@horizondatawave/n8n-nodes-anysite.Reddit",
      "operation": "searchPosts",
      "parameters": {
        "query": "YourBrand OR YourProduct",
        "subreddit": "technology,startups,entrepreneur",
        "sort": "new",
        "limit": 50
      }
    },
    {
      "name": "Filter High Engagement",
      "type": "n8n-nodes-base.filter",
      "parameters": {
        "conditions": [
          {
            "field": "score",
            "operation": "greaterThan",
            "value": 10
          },
          {
            "field": "comments",
            "operation": "greaterThan", 
            "value": 5
          }
        ]
      }
    },
    {
      "name": "Get Comments",
      "type": "@horizondatawave/n8n-nodes-anysite.Reddit",
      "operation": "getPostComments",
      "parameters": {
        "postUrl": "={{ $json.url }}",
        "commentDepth": 2,
        "limit": 25
      }
    },
    {
      "name": "Analyze Sentiment",
      "type": "n8n-nodes-base.openAi",
      "parameters": {
        "prompt": "Analyze sentiment of this Reddit discussion: {{ $json.title }} - {{ $json.text }}"
      }
    }
  ]
}

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Market Research

Research customer opinions and market trends:
  1. Industry Monitoring - Track discussions in industry-specific subreddits
  2. Product Feedback - Find mentions of your product or competitors
  3. Feature Requests - Identify commonly requested features or pain points
  4. Trend Analysis - Analyze trending topics and emerging technologies
  5. Report Generation - Create weekly market research reports

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Community Management

Monitor and engage with your community:
  1. Support Questions - Find users asking for help with your product
  2. Bug Reports - Identify and track bug reports from users
  3. Feature Discussions - Monitor discussions about new features
  4. Community Health - Track sentiment and engagement in your subreddit
  5. Moderation Alerts - Get notified about posts needing attention

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Search Operators

Use Reddit’s search syntax for precise queries: 
// Exact title match
{
  "query": "title:\"How to learn machine learning\""
}

// Author search
{
  "query": "author:specific_username"
}

// Multiple subreddits
{
  "query": "subreddit:MachineLearning OR subreddit:programming"
}

// URL search
{
  "query": "url:github.com"
}

// Flair search
{
  "query": "flair:Discussion"
}

// Self posts only
{
  "query": "self:yes machine learning tutorial"
}

// Score filter
{
  "query": "score:>100 artificial intelligence"
}

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Time-based Analysis

Track discussions over time: 
{
  "name": "Weekly Trend Analysis",
  "type": "@horizondatawave/n8n-nodes-anysite.Reddit", 
  "operation": "searchPosts",
  "parameters": {
    "query": "artificial intelligence",
    "subreddit": "MachineLearning",
    "sort": "top",
    "timeRange": "week",
    "limit": 100
  }
}

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Data Analysis

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Engagement Metrics

Calculate post and comment engagement: 
// Engagement rate calculation
{
  "engagementRate": "={{ ($json.comments / ($json.score || 1)) * 100 }}"
}

// Controversy score
{
  "controversyScore": "={{ (1 - $json.upvoteRatio) * 100 }}"
}

// Discussion density
{
  "discussionDensity": "={{ $json.comments / Math.max($json.text.length / 100, 1) }}"
}

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Content Analysis

Extract insights from Reddit content: 
{
  "name": "Extract Keywords",
  "type": "n8n-nodes-base.function",
  "parameters": {
    "functionCode": `
      const text = $input.first().json.text.toLowerCase();
      const keywords = text.match(/\\b\\w{4,}\\b/g) || [];
      const wordCount = {};
      
      keywords.forEach(word => {
        wordCount[word] = (wordCount[word] || 0) + 1;
      });
      
      const topKeywords = Object.entries(wordCount)
        .sort(([,a], [,b]) => b - a)
        .slice(0, 10)
        .map(([word, count]) => ({ word, count }));
        
      return [{ json: { ...item.json, topKeywords } }];
    `
  }
}

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Error Handling

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Common Errors

Error: 404 - Subreddit not foundSolution:
  • Verify subreddit name is spelled correctly
  • Check if subreddit is private or banned
  • Handle missing subreddits gracefully in bulk operations
Error: 404 - Post not foundSolution:
  • Post may have been deleted by user or moderator
  • Store post data when first accessed
  • Implement fallback logic for missing posts
Error: 429 - Too many requestsSolution:
  • Add delays between requests (recommended: 2-3 seconds)
  • Implement exponential backoff retry logic
  • Consider upgrading API plan for higher limits

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Robust Error Handling

{
  "name": "Reddit with Error Handling",
  "type": "@horizondatawave/n8n-nodes-anysite.Reddit",
  "continueOnFail": true,
  "retryOnFail": true,
  "maxTries": 3,
  "waitBetweenTries": 3000,
  "parameters": {
    "operation": "searchPosts",
    "query": "your search query"
  }
}

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Integration Examples

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Slack Notifications

Send alerts for important discussions: 
{
  "name": "High-Impact Alert",
  "type": "n8n-nodes-base.slack",
  "parameters": {
    "channel": "#marketing",
    "text": "🔥 Trending Reddit post about {{ $json.title }}\n📊 Score: {{ $json.score }} | 💬 Comments: {{ $json.comments }}\n🔗 {{ $json.url }}"
  }
}

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Database Storage

Store Reddit data for analysis: 
{
  "name": "Store in Database",
  "type": "n8n-nodes-base.postgres",
  "parameters": {
    "operation": "insert",
    "table": "reddit_posts",
    "columns": [
      "post_id",
      "title", 
      "subreddit",
      "score",
      "comments",
      "created_at"
    ],
    "values": [
      "={{ $json.id }}",
      "={{ $json.title }}",
      "={{ $json.subreddit }}",
      "={{ $json.score }}",
      "={{ $json.comments }}",
      "={{ $json.created }}"
    ]
  }
}

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Content Aggregation

Combine Reddit data with other sources: 
{
  "workflow": [
    "Reddit Search → Get Hot Posts",
    "Twitter Search → Find Related Tweets",
    "Google News → Get News Articles",
    "AI Analysis → Extract Common Themes",
    "Report Generation → Create Daily Brief"
  ]
}

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Performance Tips

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Efficient Bulk Operations

{
  "name": "Batch Subreddit Monitor",
  "type": "n8n-nodes-base.splitInBatches",
  "parameters": {
    "batchSize": 5,
    "options": {
      "reset": false
    }
  }
}

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Data Deduplication

Remove duplicate posts: 
// Deduplicate by post ID
{
  "name": "Remove Duplicates",
  "type": "n8n-nodes-base.removeDuplicates",
  "parameters": {
    "compare": "selectedFields",
    "fieldsToCompare": ["id"]
  }
}

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Community Insights

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Subreddit Analysis

Analyze subreddit health and trends: 
{
  "name": "Subreddit Health Check",
  "type": "@horizondatawave/n8n-nodes-anysite.Reddit",
  "operation": "getSubredditInfo",
  "parameters": {
    "subredditName": "{{ $json.subreddit }}",
    "includeRules": true,
    "includeModerators": false
  }
}

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Discussion Quality

Assess discussion quality metrics: 
// Calculate discussion quality score
{
  "qualityScore": "={{ (($json.score * 0.4) + ($json.comments * 0.3) + (($json.upvoteRatio - 0.5) * 200 * 0.3)) }}"
}

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Next Steps

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