📺 Full walkthrough video: https://youtu.be/Me4d4BILvHk
📺 Full walkthrough video: https://youtu.be/Me4d4BILvHk What it does This workflow automatically monitors trending content across Reddit, Instagram, and TikTok using keywords you define. It scrapes the most engaging posts, calculates platform-specific engagement scores, ranks content in a unified leaderboard, and delivers a professional HTML email dashboard — while storing historical data in a structured table for long-term trend tracking. No manual research. No tab switching. Just the top-performing content in your inbox, automatically. Who's it for Social media managers, content creators, brand managers, marketing teams, and agencies who need to track keyword performance and trending content across multiple platforms for competitive analysis, content inspiration, and influencer discovery. How it works The workflow runs a full scraping cycle for each keyword in your list: Reddit Monitoring**: Searches top posts by keyword with upvotes and comment data Instagram Monitoring**: Scrapes hashtag-based posts with likes and comments TikTok Analysis**: Tracks hashtag content including views, likes, shares, and comments Engagement Scoring**: Applies platform-specific algorithms to rank content objectively Unified Ranking**: Combines all platforms into a single top 15 leaderboard Email Report**: Delivers a formatted HTML dashboard with clickable links to original posts Data Storage**: Pushes all results into a DataTable for historical tracking and trend analysis Requirements Apify account (free tier works — no recurring cost) Gmail account for report delivery n8n instance (cloud or self-hosted) Platform scrapers: Reddit Scraper Lite, Instagram Scraper, TikTok Scraper How to set up Step 1: Configure Apify credentials Set up Apify API authentication in n8n Ensure access to the required scrapers: Reddit: trudax~reddit-scraper-lite Instagram: apify~instagram-scraper TikTok: clockworks~tiktok-scraper Install the Apify community node: https://docs.apify.com/platform/integrations/n8n Step 2: Add your keywords Open the "Query social media" DataTable and add one keyword per row. The Loop Over Query node automatically runs a full Reddit + Instagram + TikTok scraping cycle for every keyword — no limit on the number of keywords. Step 3: Configure search parameters Reddit: Search terms via searches array Sort: top (alternatives: hot, new, relevance) Time period: month (alternatives: hour, day, week, year, all) Limits: maxItems 50, maxPostCount 25 Instagram: Target hashtags via directUrls Results type: posts Time filter: onlyPostsNewerThan: 7 days Result limit: 15 TikTok: Target hashtags via hashtags array Results per page: 20 Time filter: oldestPostDateUnified: 7 days Step 4: Set up email reporting Configure Gmail OAuth2 credentials in n8n Update the recipient email address in the Send a message node Customize subject and styling as needed Step 5: Schedule the workflow Add a Schedule Trigger to run the workflow automatically — daily, weekly, or at any interval that suits your monitoring needs. Engagement scoring methodology Platform-specific algorithms Reddit Score = (upvotes × 1) + (comments × 2) Comments weighted higher as they indicate deeper community engagement. Instagram Score = (likes × 1) + (comments × 2) Focused on recent content to capture trending moments. Carousel sub-items excluded to avoid duplicates. TikTok Score = (likes × 1) + (comments × 2) + (shares × 3) + (views ÷ 1000) Shares heavily weighted (×3) as the strongest viral indicator. Views normalized to balance with other metrics. Performance levels Content is automatically classified into three tiers: High**: Score ≥ 10,000 — viral or highly engaging content Medium**: Score ≥ 1,000 — solid engagement, worth monitoring Low**: Score < 1,000 — baseline engagement Results & dashboard The automated email report includes: Cross-platform leaderboard**: Top 15 posts ranked by unified engagement score Platform breakdown**: Total score per network (TikTok / Reddit / Instagram) Per-post detail**: Author, content preview, score, level, and direct link to original post Historical DataTable**: One row per post with keyword, source, score, date — queryable over time How to customize Keyword targeting Add as many keywords as needed — one row per keyword in the DataTable Use brand names, product names, competitor terms, or campaign hashtags Adjust for seasonal trends or campaign periods Scoring adjustments Modify the Code nodes to: Change metric multipliers based on your priorities Add recency bonuses for fresher content Filter out low-quality or spam content Integrate sentiment scoring for brand monitoring Reporting enhancements Add multiple email recipients Export results to Google Sheets or Airtable Set alert thresholds for high-performing content Connect to Slack or Teams for real-time notifications Use cases Brand & competitive monitoring Track brand mentions, competitor content performance, and market positioning across all three platforms simultaneously. Content strategy Identify top-performing content formats, discover effective hashtags, and spot emerging trends before they peak. Influencer discovery Find creators driving the most engagement in your niche and evaluate potential collaborators based on real performance data. Campaign tracking Monitor hashtag campaigns, track sponsored content performance, and measure share of voice over time. Limitations Subject to Apify scraper quotas (free tier: ~$5 credit/month included) Some private or restricted content may not be accessible 30-second processing waits between platforms to prevent rate limiting Dependent on third-party scraper availability and maintenance. An n8n automation workflow template by Allan Vaccarizi.
Allan Vaccarizi
web
paid
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