Monitor social media trends across Reddit, Instagram & TikTok with Apify
Who's it for
Social media managers, content creators, brand managers, and marketing teams who need to track keyword performance and trending content across TikTok, Instagram, and Reddit for competitive analysis and content inspiration.
What it does
This workflow automatically monitors trending content across three major social media platforms using specified keywords. It scrapes posts from TikTok, Instagram, and Reddit, calculates engagement scores using platform-specific metrics, ranks content by performance, and generates a comprehensive HTML email report with the top-performing posts across all platforms.
How it works
The workflow follows a sequential multi-platform scraping process:
Reddit Scraping: Searches for keyword-based posts and comments with engagement metrics Instagram Monitoring: Analyzes hashtag-based content with likes and comments data TikTok Analysis: Tracks hashtag performance including views, likes, shares, and comments Score Calculation: Applies platform-specific scoring algorithms based on engagement metrics Unified Ranking: Combines and ranks all content across platforms by engagement score Report Generation: Creates a detailed HTML email report with top performers and analytics
Requirements
Apify account with API access Gmail account for report delivery Platform-specific scrapers: Reddit Scraper Lite, Instagram Scraper, TikTok Scraper
How to set up
Step 1: Configure Apify credentials
Set up Apify HTTP header authentication in n8n Ensure access to the required scrapers:
Reddit: trudax~reddit-scraper-lite Instagram: apify~instagram-scraper TikTok: clockworks~tiktok-scraper
Step 2: Customize search parameters
Reddit configuration:
Search terms: Modify "searches" array with your keywords Content type: Posts and comments (searchComments can be enabled) Sort method: "top" (alternatives: hot, new, relevance) Time period: "month" (alternatives: hour, day, week, year, all) Result limits: maxItems: 50, maxPostCount: 25
Instagram configuration:
Hashtag URLs: Update directUrls with target hashtags Results type: "posts" (alternatives: stories, reels) Time filter: "onlyPostsNewerThan": "7 days" Result limit: resultsLimit: 15
TikTok configuration:
Hashtags: Update hashtags array with target keywords Results per page: resultsPerPage: 20 Time filter: "oldestPostDateUnified": "7 days"
Step 3: Set up email reporting
Configure Gmail OAuth2 credentials Update recipient email address in "Send a message" node Customize email subject and styling as needed
Step 4: Adjust scoring algorithms
Current scoring formulas:
Reddit: (upvotes × 1) + (comments × 2) Instagram: (likes × 1) + (comments × 2) TikTok: (likes × 1) + (comments × 2) + (shares × 3) + (views ÷ 1000)
Modify the code nodes to adjust scoring based on your priorities.
How to customize the workflow
Keyword and hashtag targeting
Multiple keywords: Add arrays of search terms for broader monitoring Brand-specific terms: Include brand names, product names, competitor analysis Seasonal tracking: Adjust keywords based on campaigns or seasonal trends Negative filtering: Exclude irrelevant content with filtering logic
Platform-specific customization
Reddit enhancements:
Subreddit targeting: Focus on specific communities Comment analysis: Enable comment scraping for deeper insights User profiling: Track specific user activity and influence
Instagram modifications:
Story monitoring: Track story mentions and hashtag usage Influencer tracking: Monitor specific account performance Location-based: Add geo-targeted hashtag monitoring
TikTok optimizations:
Trend detection: Identify viral sounds and effects Creator analysis: Track trending creators in your niche Challenge monitoring: Follow hashtag challenge performance
Scoring and ranking customization
Weighted metrics: Adjust multipliers based on platform importance Recency factors: Give bonus points to newer content Quality filters: Exclude low-engagement or spam content Sentiment analysis: Integrate sentiment scoring for brand monitoring
Reporting enhancements
Multiple recipients: Send reports to different team members Scheduled execution: Add scheduling triggers for automated monitoring Data export: Save results to spreadsheets or databases Alert thresholds: Set up notifications for high-performing content
Engagement scoring methodology
Platform-specific algorithms
Reddit scoring logic:
Emphasizes community engagement through upvotes and discussion Comments weighted higher (×2) as they indicate deeper engagement Filters out low-quality posts and spam content
Instagram scoring approach:
Balances visual appeal (likes) with engagement depth (comments) Focuses on recent content to capture trending moments Excludes carousel sub-items to avoid duplicate counting
TikTok scoring system:
Multi-factor algorithm considering all engagement types Views normalized (÷1000) to balance with other metrics Shares heavily weighted (×3) as they indicate viral potential
Level classification
Content automatically categorized into performance tiers:
High: Score ≥ 10,000 (viral or highly engaging content) Medium: Score ≥ 1,000 (good engagement, worth monitoring) Low: Score < 1,000 (baseline engagement)
Results interpretation
Comprehensive analytics dashboard
The email report includes:
Cross-platform leaderboard: Top 15 posts ranked by engagement score Platform breakdown: Performance summary by social network Engagement metrics: Detailed scoring and classification Direct links: Clickable access to original content Author tracking: Creator identification for influencer outreach
Actionable insights
Content inspiration: Identify high-performing content formats and topics Competitor analysis: Monitor competitor content performance Trend identification: Spot emerging topics before they peak Influencer discovery: Find creators driving engagement in your niche
Use cases
Brand monitoring and competitive analysis
Brand mention tracking: Monitor how your brand performs across platforms Competitor surveillance: Track competitor content and engagement rates Crisis management: Early detection of negative sentiment or issues Market positioning: Understand your brand's social media presence
Content strategy optimization
Content format analysis: Identify which content types perform best Hashtag research: Discover effective hashtags for your niche Posting timing: Analyze when high-engagement content is published Trend forecasting: Spot emerging trends for proactive content creation
Influencer and partnership identification
Creator discovery: Find influential voices in your industry Partnership evaluation: Assess potential collaborator engagement rates Campaign performance: Track sponsored content and brand partnerships Community building: Identify active community members and advocates
Workflow limitations
API rate limiting: Subject to Apify scraper limitations and quotas Platform restrictions: Some content may be private or restricted Real-time delays: 30-second waits between platform scraping prevent rate limiting Manual execution: Currently triggered manually (easily schedulable) Single keyword focus: Current setup optimized for one keyword at a time Platform availability: Dependent on third-party scrapers and their maintenance
Monitor Social Media Trends with Apify
This n8n workflow demonstrates a basic structure for interacting with external APIs, processing data, and sending notifications. While the provided JSON defines a foundational setup, it serves as a robust starting point for building more complex social media monitoring solutions.
What it does
This workflow outlines the following steps:
- Triggers on a Schedule: The workflow starts at predefined intervals, allowing for regular execution.
- Makes an HTTP Request: It initiates an HTTP request, which can be configured to interact with a social media scraping API like Apify, or any other external service.
- Processes Data with Code: A Code node is included, providing a placeholder for custom JavaScript logic to process the data received from the HTTP request. This is where you would transform, filter, or analyze the social media data.
- Sends Email Notification: It includes a Gmail node, which can be configured to send email notifications, for example, to alert you about new trends, errors, or a summary of the processed data.
- Introduces a Delay: A Wait node is present, which can be used to pause the workflow for a specified duration, useful for rate limiting API calls or waiting for data processing.
- Provides Documentation: A Sticky Note node is included for adding comments or documentation directly within the workflow canvas, enhancing readability and maintainability.
Prerequisites/Requirements
- n8n Instance: A running instance of n8n.
- Gmail Account: A configured Gmail credential in n8n to send email notifications.
- Apify Account (Recommended): Although not explicitly configured in the provided JSON, to fulfill the implied purpose of "monitoring social media trends with Apify," you would need an Apify account and an API key.
- Understanding of JavaScript: For customizing the data processing in the Code node.
Setup/Usage
- Import the Workflow: Import the provided JSON into your n8n instance.
- Configure Credentials:
- Gmail: Set up your Gmail OAuth2 or API Key credential within n8n.
- Configure Nodes:
- Schedule Trigger: Adjust the schedule to your desired frequency (e.g., daily, hourly).
- HTTP Request:
- Update the URL, method, headers, and body to point to the Apify API endpoint (e.g., to run a specific Apify actor for Reddit, Instagram, or TikTok scraping).
- Add any necessary authentication (e.g., Apify API token).
- Code: Modify the JavaScript code to parse and process the data returned by the HTTP Request node. This is where you'd implement your trend analysis logic.
- Gmail: Configure the recipient email address, subject, and body of the email notification. You can dynamically include data from previous nodes in the email.
- Wait: Adjust the delay duration if needed.
- Activate the Workflow: Once configured, activate the workflow to start monitoring social media trends on your defined schedule.
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Update Node Parameters All Google Sheets nodes: Select your finance spreadsheet Slack nodes: Select your finance channel Schedule Trigger: Adjust time if you prefer a different check-in hour (default: 11 PM) Postgres Chat Memory: Change sessionKey to something unique (e.g., financetrackeryour_name) Keep tableName as n8nchathistory_finance or rename consistently C. Slack Trigger Setup Activate the "Bot Mention trigger" node Copy the webhook URL from n8n In Slack App settings, go to Event Subscriptions Enable events and paste the webhook URL Subscribe to bot event: app_mention Save changes Test the Workflow Activate both workflow branches (scheduled and agent) In your Slack channel, mention the bot: @YourBot ₹100 cash snacks Bot should respond with a preview Reply "yes" to approve Verify Google Sheets are updated How to customize Change Transaction Categories Edit the AI Agent's system message to add/remove categories. 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