Tools
Build an Instagram Competitor Tracker to Steal Their Strategy
2025-12-20
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The Problem with Manual Competitor Research ## The Stack ## Step 1: Setup ## Step 2: Fetch Profile Data ## Step 3: Get Recent Posts ## Step 4: Get Reels Separately ## Step 5: Analyze Post Performance ## Step 6: AI Content Strategy Analysis ## Step 7: Full Competitor Report ## Step 8: Compare Multiple Competitors ## Step 9: Automated Monitoring ## Step 10: Run It ## Sample Output ## Why This Matters ## Get Started Your competitors are posting on Instagram every day. Some posts flop. Some go viral. They're constantly testing what works. Why figure it out yourself when you can just... watch what works for them? In this tutorial, we'll build an Instagram Competitor Tracker that: Ethical espionage. Totally legal. You could check competitors' profiles manually. But: Automation fixes all of this. Let's start by getting a competitor's profile info. Now fetch their recent content: Reels often perform differentlyβlet's track them: Calculate what's actually working: Extract actionable insights: Track changes over time: Competitor analysis tools charge: You just built a custom solution that does what you need for the cost of API calls. Plus: you can customize it for YOUR specific competitors and metrics. Don't reinvent the wheel. Learn from what's already working. Templates let you quickly answer FAQs or store snippets for re-use. Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink. Hide child comments as well For further actions, you may consider blocking this person and/or reporting abuse CODE_BLOCK:
mkdir instagram-competitor-tracker
cd instagram-competitor-tracker
npm init -y
npm install axios dotenv openai node-cron Enter fullscreen mode Exit fullscreen mode CODE_BLOCK:
mkdir instagram-competitor-tracker
cd instagram-competitor-tracker
npm init -y
npm install axios dotenv openai node-cron CODE_BLOCK:
mkdir instagram-competitor-tracker
cd instagram-competitor-tracker
npm init -y
npm install axios dotenv openai node-cron CODE_BLOCK:
SOCIAVAULT_API_KEY=your_sociavault_key
OPENAI_API_KEY=your_openai_key Enter fullscreen mode Exit fullscreen mode CODE_BLOCK:
SOCIAVAULT_API_KEY=your_sociavault_key
OPENAI_API_KEY=your_openai_key CODE_BLOCK:
SOCIAVAULT_API_KEY=your_sociavault_key
OPENAI_API_KEY=your_openai_key CODE_BLOCK:
require('dotenv').config();
const axios = require('axios');
const OpenAI = require('openai');
const cron = require('node-cron'); const openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });
const SOCIAVAULT_BASE = 'https://api.sociavault.com'; async function getProfile(username) { console.log(`π₯ Fetching profile for @${username}...`); try { const response = await axios.get(`${SOCIAVAULT_BASE}/v1/scrape/instagram/profile`, { params: { username }, headers: { 'Authorization': `Bearer ${process.env.SOCIAVAULT_API_KEY}` } }); const profile = response.data.data; return { username: profile.username, fullName: profile.full_name || profile.fullName, bio: profile.biography || profile.bio, followers: profile.follower_count || profile.followers, following: profile.following_count || profile.following, posts: profile.media_count || profile.posts, isVerified: profile.is_verified || profile.verified, isBusinessAccount: profile.is_business_account || profile.isBusiness, category: profile.category_name || profile.category, externalUrl: profile.external_url || profile.website }; } catch (error) { console.error('Error fetching profile:', error.message); return null; }
} Enter fullscreen mode Exit fullscreen mode CODE_BLOCK:
require('dotenv').config();
const axios = require('axios');
const OpenAI = require('openai');
const cron = require('node-cron'); const openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });
const SOCIAVAULT_BASE = 'https://api.sociavault.com'; async function getProfile(username) { console.log(`π₯ Fetching profile for @${username}...`); try { const response = await axios.get(`${SOCIAVAULT_BASE}/v1/scrape/instagram/profile`, { params: { username }, headers: { 'Authorization': `Bearer ${process.env.SOCIAVAULT_API_KEY}` } }); const profile = response.data.data; return { username: profile.username, fullName: profile.full_name || profile.fullName, bio: profile.biography || profile.bio, followers: profile.follower_count || profile.followers, following: profile.following_count || profile.following, posts: profile.media_count || profile.posts, isVerified: profile.is_verified || profile.verified, isBusinessAccount: profile.is_business_account || profile.isBusiness, category: profile.category_name || profile.category, externalUrl: profile.external_url || profile.website }; } catch (error) { console.error('Error fetching profile:', error.message); return null; }
} CODE_BLOCK:
require('dotenv').config();
const axios = require('axios');
const OpenAI = require('openai');
const cron = require('node-cron'); const openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });
const SOCIAVAULT_BASE = 'https://api.sociavault.com'; async function getProfile(username) { console.log(`π₯ Fetching profile for @${username}...`); try { const response = await axios.get(`${SOCIAVAULT_BASE}/v1/scrape/instagram/profile`, { params: { username }, headers: { 'Authorization': `Bearer ${process.env.SOCIAVAULT_API_KEY}` } }); const profile = response.data.data; return { username: profile.username, fullName: profile.full_name || profile.fullName, bio: profile.biography || profile.bio, followers: profile.follower_count || profile.followers, following: profile.following_count || profile.following, posts: profile.media_count || profile.posts, isVerified: profile.is_verified || profile.verified, isBusinessAccount: profile.is_business_account || profile.isBusiness, category: profile.category_name || profile.category, externalUrl: profile.external_url || profile.website }; } catch (error) { console.error('Error fetching profile:', error.message); return null; }
} COMMAND_BLOCK:
async function getPosts(username, limit = 30) { console.log(`π₯ Fetching posts from @${username}...`); try { const response = await axios.get(`${SOCIAVAULT_BASE}/v1/scrape/instagram/posts`, { params: { username, limit }, headers: { 'Authorization': `Bearer ${process.env.SOCIAVAULT_API_KEY}` } }); const posts = response.data.data || []; return posts.map(p => ({ id: p.id || p.pk, shortcode: p.shortcode || p.code, type: p.media_type || p.type, // 1=image, 2=video, 8=carousel caption: p.caption?.text || p.caption || '', likes: p.like_count || p.likes || 0, comments: p.comment_count || p.comments || 0, views: p.view_count || p.views || 0, // for videos/reels timestamp: p.taken_at || p.timestamp, url: p.url || `https://instagram.com/p/${p.shortcode || p.code}` })); } catch (error) { console.error('Error fetching posts:', error.message); return []; }
} Enter fullscreen mode Exit fullscreen mode COMMAND_BLOCK:
async function getPosts(username, limit = 30) { console.log(`π₯ Fetching posts from @${username}...`); try { const response = await axios.get(`${SOCIAVAULT_BASE}/v1/scrape/instagram/posts`, { params: { username, limit }, headers: { 'Authorization': `Bearer ${process.env.SOCIAVAULT_API_KEY}` } }); const posts = response.data.data || []; return posts.map(p => ({ id: p.id || p.pk, shortcode: p.shortcode || p.code, type: p.media_type || p.type, // 1=image, 2=video, 8=carousel caption: p.caption?.text || p.caption || '', likes: p.like_count || p.likes || 0, comments: p.comment_count || p.comments || 0, views: p.view_count || p.views || 0, // for videos/reels timestamp: p.taken_at || p.timestamp, url: p.url || `https://instagram.com/p/${p.shortcode || p.code}` })); } catch (error) { console.error('Error fetching posts:', error.message); return []; }
} COMMAND_BLOCK:
async function getPosts(username, limit = 30) { console.log(`π₯ Fetching posts from @${username}...`); try { const response = await axios.get(`${SOCIAVAULT_BASE}/v1/scrape/instagram/posts`, { params: { username, limit }, headers: { 'Authorization': `Bearer ${process.env.SOCIAVAULT_API_KEY}` } }); const posts = response.data.data || []; return posts.map(p => ({ id: p.id || p.pk, shortcode: p.shortcode || p.code, type: p.media_type || p.type, // 1=image, 2=video, 8=carousel caption: p.caption?.text || p.caption || '', likes: p.like_count || p.likes || 0, comments: p.comment_count || p.comments || 0, views: p.view_count || p.views || 0, // for videos/reels timestamp: p.taken_at || p.timestamp, url: p.url || `https://instagram.com/p/${p.shortcode || p.code}` })); } catch (error) { console.error('Error fetching posts:', error.message); return []; }
} COMMAND_BLOCK:
async function getReels(username, limit = 20) { console.log(`π₯ Fetching reels from @${username}...`); try { const response = await axios.get(`${SOCIAVAULT_BASE}/v1/scrape/instagram/reels`, { params: { username, limit }, headers: { 'Authorization': `Bearer ${process.env.SOCIAVAULT_API_KEY}` } }); const reels = response.data.data || []; return reels.map(r => ({ id: r.id || r.pk, shortcode: r.shortcode || r.code, caption: r.caption?.text || r.caption || '', plays: r.play_count || r.plays || 0, likes: r.like_count || r.likes || 0, comments: r.comment_count || r.comments || 0, timestamp: r.taken_at || r.timestamp, duration: r.video_duration || r.duration })); } catch (error) { console.error('Error fetching reels:', error.message); return []; }
} Enter fullscreen mode Exit fullscreen mode COMMAND_BLOCK:
async function getReels(username, limit = 20) { console.log(`π₯ Fetching reels from @${username}...`); try { const response = await axios.get(`${SOCIAVAULT_BASE}/v1/scrape/instagram/reels`, { params: { username, limit }, headers: { 'Authorization': `Bearer ${process.env.SOCIAVAULT_API_KEY}` } }); const reels = response.data.data || []; return reels.map(r => ({ id: r.id || r.pk, shortcode: r.shortcode || r.code, caption: r.caption?.text || r.caption || '', plays: r.play_count || r.plays || 0, likes: r.like_count || r.likes || 0, comments: r.comment_count || r.comments || 0, timestamp: r.taken_at || r.timestamp, duration: r.video_duration || r.duration })); } catch (error) { console.error('Error fetching reels:', error.message); return []; }
} COMMAND_BLOCK:
async function getReels(username, limit = 20) { console.log(`π₯ Fetching reels from @${username}...`); try { const response = await axios.get(`${SOCIAVAULT_BASE}/v1/scrape/instagram/reels`, { params: { username, limit }, headers: { 'Authorization': `Bearer ${process.env.SOCIAVAULT_API_KEY}` } }); const reels = response.data.data || []; return reels.map(r => ({ id: r.id || r.pk, shortcode: r.shortcode || r.code, caption: r.caption?.text || r.caption || '', plays: r.play_count || r.plays || 0, likes: r.like_count || r.likes || 0, comments: r.comment_count || r.comments || 0, timestamp: r.taken_at || r.timestamp, duration: r.video_duration || r.duration })); } catch (error) { console.error('Error fetching reels:', error.message); return []; }
} COMMAND_BLOCK:
function analyzePerformance(profile, posts) { if (!posts || posts.length === 0) return null; // Separate by type const images = posts.filter(p => p.type === 1 || p.type === 'IMAGE'); const videos = posts.filter(p => p.type === 2 || p.type === 'VIDEO'); const carousels = posts.filter(p => p.type === 8 || p.type === 'CAROUSEL'); // Calculate engagement per type const calculateAvg = (arr, key) => arr.length ? arr.reduce((sum, p) => sum + (p[key] || 0), 0) / arr.length : 0; const avgByType = { images: { count: images.length, avgLikes: Math.round(calculateAvg(images, 'likes')), avgComments: Math.round(calculateAvg(images, 'comments')) }, videos: { count: videos.length, avgLikes: Math.round(calculateAvg(videos, 'likes')), avgComments: Math.round(calculateAvg(videos, 'comments')), avgViews: Math.round(calculateAvg(videos, 'views')) }, carousels: { count: carousels.length, avgLikes: Math.round(calculateAvg(carousels, 'likes')), avgComments: Math.round(calculateAvg(carousels, 'comments')) } }; // Overall engagement rate const totalEngagement = posts.reduce((sum, p) => sum + (p.likes || 0) + (p.comments || 0), 0 ); const avgEngagementRate = (totalEngagement / posts.length / profile.followers * 100); // Find top performers const sortedByEngagement = [...posts].sort((a, b) => (b.likes + b.comments) - (a.likes + a.comments) ); // Identify posting patterns const postsByDay = {}; posts.forEach(p => { if (p.timestamp) { const date = new Date(p.timestamp * 1000); const day = date.toLocaleDateString('en-US', { weekday: 'long' }); postsByDay[day] = (postsByDay[day] || 0) + 1; } }); return { overall: { totalPosts: posts.length, avgEngagementRate: avgEngagementRate.toFixed(2) + '%', avgLikes: Math.round(calculateAvg(posts, 'likes')), avgComments: Math.round(calculateAvg(posts, 'comments')) }, byType: avgByType, topPosts: sortedByEngagement.slice(0, 5), worstPosts: sortedByEngagement.slice(-3), postingPattern: postsByDay, bestFormat: Object.entries(avgByType) .filter(([_, v]) => v.count > 0) .sort((a, b) => b[1].avgLikes - a[1].avgLikes)[0]?.[0] || 'unknown' };
} Enter fullscreen mode Exit fullscreen mode COMMAND_BLOCK:
function analyzePerformance(profile, posts) { if (!posts || posts.length === 0) return null; // Separate by type const images = posts.filter(p => p.type === 1 || p.type === 'IMAGE'); const videos = posts.filter(p => p.type === 2 || p.type === 'VIDEO'); const carousels = posts.filter(p => p.type === 8 || p.type === 'CAROUSEL'); // Calculate engagement per type const calculateAvg = (arr, key) => arr.length ? arr.reduce((sum, p) => sum + (p[key] || 0), 0) / arr.length : 0; const avgByType = { images: { count: images.length, avgLikes: Math.round(calculateAvg(images, 'likes')), avgComments: Math.round(calculateAvg(images, 'comments')) }, videos: { count: videos.length, avgLikes: Math.round(calculateAvg(videos, 'likes')), avgComments: Math.round(calculateAvg(videos, 'comments')), avgViews: Math.round(calculateAvg(videos, 'views')) }, carousels: { count: carousels.length, avgLikes: Math.round(calculateAvg(carousels, 'likes')), avgComments: Math.round(calculateAvg(carousels, 'comments')) } }; // Overall engagement rate const totalEngagement = posts.reduce((sum, p) => sum + (p.likes || 0) + (p.comments || 0), 0 ); const avgEngagementRate = (totalEngagement / posts.length / profile.followers * 100); // Find top performers const sortedByEngagement = [...posts].sort((a, b) => (b.likes + b.comments) - (a.likes + a.comments) ); // Identify posting patterns const postsByDay = {}; posts.forEach(p => { if (p.timestamp) { const date = new Date(p.timestamp * 1000); const day = date.toLocaleDateString('en-US', { weekday: 'long' }); postsByDay[day] = (postsByDay[day] || 0) + 1; } }); return { overall: { totalPosts: posts.length, avgEngagementRate: avgEngagementRate.toFixed(2) + '%', avgLikes: Math.round(calculateAvg(posts, 'likes')), avgComments: Math.round(calculateAvg(posts, 'comments')) }, byType: avgByType, topPosts: sortedByEngagement.slice(0, 5), worstPosts: sortedByEngagement.slice(-3), postingPattern: postsByDay, bestFormat: Object.entries(avgByType) .filter(([_, v]) => v.count > 0) .sort((a, b) => b[1].avgLikes - a[1].avgLikes)[0]?.[0] || 'unknown' };
} COMMAND_BLOCK:
function analyzePerformance(profile, posts) { if (!posts || posts.length === 0) return null; // Separate by type const images = posts.filter(p => p.type === 1 || p.type === 'IMAGE'); const videos = posts.filter(p => p.type === 2 || p.type === 'VIDEO'); const carousels = posts.filter(p => p.type === 8 || p.type === 'CAROUSEL'); // Calculate engagement per type const calculateAvg = (arr, key) => arr.length ? arr.reduce((sum, p) => sum + (p[key] || 0), 0) / arr.length : 0; const avgByType = { images: { count: images.length, avgLikes: Math.round(calculateAvg(images, 'likes')), avgComments: Math.round(calculateAvg(images, 'comments')) }, videos: { count: videos.length, avgLikes: Math.round(calculateAvg(videos, 'likes')), avgComments: Math.round(calculateAvg(videos, 'comments')), avgViews: Math.round(calculateAvg(videos, 'views')) }, carousels: { count: carousels.length, avgLikes: Math.round(calculateAvg(carousels, 'likes')), avgComments: Math.round(calculateAvg(carousels, 'comments')) } }; // Overall engagement rate const totalEngagement = posts.reduce((sum, p) => sum + (p.likes || 0) + (p.comments || 0), 0 ); const avgEngagementRate = (totalEngagement / posts.length / profile.followers * 100); // Find top performers const sortedByEngagement = [...posts].sort((a, b) => (b.likes + b.comments) - (a.likes + a.comments) ); // Identify posting patterns const postsByDay = {}; posts.forEach(p => { if (p.timestamp) { const date = new Date(p.timestamp * 1000); const day = date.toLocaleDateString('en-US', { weekday: 'long' }); postsByDay[day] = (postsByDay[day] || 0) + 1; } }); return { overall: { totalPosts: posts.length, avgEngagementRate: avgEngagementRate.toFixed(2) + '%', avgLikes: Math.round(calculateAvg(posts, 'likes')), avgComments: Math.round(calculateAvg(posts, 'comments')) }, byType: avgByType, topPosts: sortedByEngagement.slice(0, 5), worstPosts: sortedByEngagement.slice(-3), postingPattern: postsByDay, bestFormat: Object.entries(avgByType) .filter(([_, v]) => v.count > 0) .sort((a, b) => b[1].avgLikes - a[1].avgLikes)[0]?.[0] || 'unknown' };
} COMMAND_BLOCK:
async function analyzeContentStrategy(posts, profile) { console.log('π€ Analyzing content strategy...'); const topPosts = [...posts] .sort((a, b) => (b.likes + b.comments) - (a.likes + a.comments)) .slice(0, 15); const prompt = ` Analyze this Instagram competitor's content strategy based on their top posts. Account: @${profile.username} Bio: ${profile.bio} Followers: ${profile.followers} Category: ${profile.category || 'Unknown'} Return JSON with: { "contentPillars": [top 3-5 content themes they consistently post about], "captionPatterns": { "hooks": [5 opening hooks they use frequently], "ctas": [common calls to action], "avgLength": "short/medium/long", "emojiUsage": "none/minimal/heavy", "hashtagStrategy": "description of their hashtag approach" }, "visualStyle": { "aesthetic": "clean/bold/minimal/colorful/etc", "brandConsistency": "high/medium/low", "facesInContent": "always/sometimes/rarely" }, "postingStrategy": { "frequencyGuess": "posts per week", "bestPerformingType": "images/videos/carousels/reels", "timing": "any patterns noticed" }, "whatWorks": [5 specific tactics that drive engagement], "whatToSteal": [5 actionable things to copy for your own account], "whatToAvoid": [3 things that don't seem to work for them] } Top Posts: ${JSON.stringify(topPosts.map(p => ({ type: p.type, caption: p.caption?.substring(0, 200), likes: p.likes, comments: p.comments })))} `; const completion = await openai.chat.completions.create({ model: 'gpt-4o-mini', messages: [{ role: 'user', content: prompt }], response_format: { type: 'json_object' } }); return JSON.parse(completion.choices[0].message.content);
} Enter fullscreen mode Exit fullscreen mode COMMAND_BLOCK:
async function analyzeContentStrategy(posts, profile) { console.log('π€ Analyzing content strategy...'); const topPosts = [...posts] .sort((a, b) => (b.likes + b.comments) - (a.likes + a.comments)) .slice(0, 15); const prompt = ` Analyze this Instagram competitor's content strategy based on their top posts. Account: @${profile.username} Bio: ${profile.bio} Followers: ${profile.followers} Category: ${profile.category || 'Unknown'} Return JSON with: { "contentPillars": [top 3-5 content themes they consistently post about], "captionPatterns": { "hooks": [5 opening hooks they use frequently], "ctas": [common calls to action], "avgLength": "short/medium/long", "emojiUsage": "none/minimal/heavy", "hashtagStrategy": "description of their hashtag approach" }, "visualStyle": { "aesthetic": "clean/bold/minimal/colorful/etc", "brandConsistency": "high/medium/low", "facesInContent": "always/sometimes/rarely" }, "postingStrategy": { "frequencyGuess": "posts per week", "bestPerformingType": "images/videos/carousels/reels", "timing": "any patterns noticed" }, "whatWorks": [5 specific tactics that drive engagement], "whatToSteal": [5 actionable things to copy for your own account], "whatToAvoid": [3 things that don't seem to work for them] } Top Posts: ${JSON.stringify(topPosts.map(p => ({ type: p.type, caption: p.caption?.substring(0, 200), likes: p.likes, comments: p.comments })))} `; const completion = await openai.chat.completions.create({ model: 'gpt-4o-mini', messages: [{ role: 'user', content: prompt }], response_format: { type: 'json_object' } }); return JSON.parse(completion.choices[0].message.content);
} COMMAND_BLOCK:
async function analyzeContentStrategy(posts, profile) { console.log('π€ Analyzing content strategy...'); const topPosts = [...posts] .sort((a, b) => (b.likes + b.comments) - (a.likes + a.comments)) .slice(0, 15); const prompt = ` Analyze this Instagram competitor's content strategy based on their top posts. Account: @${profile.username} Bio: ${profile.bio} Followers: ${profile.followers} Category: ${profile.category || 'Unknown'} Return JSON with: { "contentPillars": [top 3-5 content themes they consistently post about], "captionPatterns": { "hooks": [5 opening hooks they use frequently], "ctas": [common calls to action], "avgLength": "short/medium/long", "emojiUsage": "none/minimal/heavy", "hashtagStrategy": "description of their hashtag approach" }, "visualStyle": { "aesthetic": "clean/bold/minimal/colorful/etc", "brandConsistency": "high/medium/low", "facesInContent": "always/sometimes/rarely" }, "postingStrategy": { "frequencyGuess": "posts per week", "bestPerformingType": "images/videos/carousels/reels", "timing": "any patterns noticed" }, "whatWorks": [5 specific tactics that drive engagement], "whatToSteal": [5 actionable things to copy for your own account], "whatToAvoid": [3 things that don't seem to work for them] } Top Posts: ${JSON.stringify(topPosts.map(p => ({ type: p.type, caption: p.caption?.substring(0, 200), likes: p.likes, comments: p.comments })))} `; const completion = await openai.chat.completions.create({ model: 'gpt-4o-mini', messages: [{ role: 'user', content: prompt }], response_format: { type: 'json_object' } }); return JSON.parse(completion.choices[0].message.content);
} COMMAND_BLOCK:
async function trackCompetitor(username) { console.log('\nπΈ Instagram Competitor Tracker\n'); console.log('βββββββββββββββββββββββββββββββββββββββ\n'); // 1. Get profile const profile = await getProfile(username); if (!profile) { console.log('Could not fetch profile.'); return; } console.log(`π€ @${profile.username} ${profile.isVerified ? 'β' : ''}`); console.log(` ${profile.fullName}`); console.log(` ${profile.category || 'Personal Account'}`); console.log(` "${profile.bio?.substring(0, 60) || 'No bio'}..."\n`); console.log(` π ${Number(profile.followers).toLocaleString()} followers`); console.log(` π· ${profile.posts} posts`); // 2. Get posts const posts = await getPosts(username); if (posts.length === 0) { console.log('\nNo posts found.'); return; } console.log(`\nβ
Analyzed ${posts.length} recent posts\n`); // 3. Performance analysis const performance = analyzePerformance(profile, posts); console.log('βββββββββββββββββββββββββββββββββββββββ'); console.log('π PERFORMANCE METRICS'); console.log('βββββββββββββββββββββββββββββββββββββββ\n'); console.log(`π Overall:`); console.log(` Engagement Rate: ${performance.overall.avgEngagementRate}`); console.log(` Avg Likes: ${performance.overall.avgLikes.toLocaleString()}`); console.log(` Avg Comments: ${performance.overall.avgComments.toLocaleString()}`); console.log(`\nπΈ By Format:`); console.log(` Images: ${performance.byType.images.count} posts, ${performance.byType.images.avgLikes.toLocaleString()} avg likes`); console.log(` Videos: ${performance.byType.videos.count} posts, ${performance.byType.videos.avgLikes.toLocaleString()} avg likes`); console.log(` Carousels: ${performance.byType.carousels.count} posts, ${performance.byType.carousels.avgLikes.toLocaleString()} avg likes`); console.log(`\nπ Best Format: ${performance.bestFormat.toUpperCase()}`); console.log('\nπ₯ Top Performing Posts:'); performance.topPosts.slice(0, 3).forEach((p, i) => { console.log(` ${i + 1}. ${(p.likes + p.comments).toLocaleString()} engagement`); console.log(` "${p.caption?.substring(0, 50) || 'No caption'}..."`); console.log(` ${p.url}`); }); // 4. AI Strategy Analysis const strategy = await analyzeContentStrategy(posts, profile); console.log('\nβββββββββββββββββββββββββββββββββββββββ'); console.log('π― CONTENT STRATEGY BREAKDOWN'); console.log('βββββββββββββββββββββββββββββββββββββββ\n'); console.log('π Content Pillars:'); strategy.contentPillars.forEach((pillar, i) => { console.log(` ${i + 1}. ${pillar}`); }); console.log('\nβοΈ Caption Patterns:'); console.log(` Length: ${strategy.captionPatterns.avgLength}`); console.log(` Emoji Usage: ${strategy.captionPatterns.emojiUsage}`); console.log(` Hashtags: ${strategy.captionPatterns.hashtagStrategy}`); console.log('\n Top Hooks:'); strategy.captionPatterns.hooks.forEach(h => console.log(` β’ ${h}`)); console.log('\nπ¨ Visual Style:'); console.log(` Aesthetic: ${strategy.visualStyle.aesthetic}`); console.log(` Brand Consistency: ${strategy.visualStyle.brandConsistency}`); console.log(` Faces: ${strategy.visualStyle.facesInContent}`); console.log('\nβ
What Works for Them:'); strategy.whatWorks.forEach((w, i) => console.log(` ${i + 1}. ${w}`)); console.log('\nπ― STEAL THESE TACTICS:'); strategy.whatToSteal.forEach((s, i) => console.log(` ${i + 1}. ${s}`)); console.log('\nβ οΈ What to Avoid:'); strategy.whatToAvoid.forEach((a, i) => console.log(` ${i + 1}. ${a}`)); return { profile, posts, performance, strategy };
} Enter fullscreen mode Exit fullscreen mode COMMAND_BLOCK:
async function trackCompetitor(username) { console.log('\nπΈ Instagram Competitor Tracker\n'); console.log('βββββββββββββββββββββββββββββββββββββββ\n'); // 1. Get profile const profile = await getProfile(username); if (!profile) { console.log('Could not fetch profile.'); return; } console.log(`π€ @${profile.username} ${profile.isVerified ? 'β' : ''}`); console.log(` ${profile.fullName}`); console.log(` ${profile.category || 'Personal Account'}`); console.log(` "${profile.bio?.substring(0, 60) || 'No bio'}..."\n`); console.log(` π ${Number(profile.followers).toLocaleString()} followers`); console.log(` π· ${profile.posts} posts`); // 2. Get posts const posts = await getPosts(username); if (posts.length === 0) { console.log('\nNo posts found.'); return; } console.log(`\nβ
Analyzed ${posts.length} recent posts\n`); // 3. Performance analysis const performance = analyzePerformance(profile, posts); console.log('βββββββββββββββββββββββββββββββββββββββ'); console.log('π PERFORMANCE METRICS'); console.log('βββββββββββββββββββββββββββββββββββββββ\n'); console.log(`π Overall:`); console.log(` Engagement Rate: ${performance.overall.avgEngagementRate}`); console.log(` Avg Likes: ${performance.overall.avgLikes.toLocaleString()}`); console.log(` Avg Comments: ${performance.overall.avgComments.toLocaleString()}`); console.log(`\nπΈ By Format:`); console.log(` Images: ${performance.byType.images.count} posts, ${performance.byType.images.avgLikes.toLocaleString()} avg likes`); console.log(` Videos: ${performance.byType.videos.count} posts, ${performance.byType.videos.avgLikes.toLocaleString()} avg likes`); console.log(` Carousels: ${performance.byType.carousels.count} posts, ${performance.byType.carousels.avgLikes.toLocaleString()} avg likes`); console.log(`\nπ Best Format: ${performance.bestFormat.toUpperCase()}`); console.log('\nπ₯ Top Performing Posts:'); performance.topPosts.slice(0, 3).forEach((p, i) => { console.log(` ${i + 1}. ${(p.likes + p.comments).toLocaleString()} engagement`); console.log(` "${p.caption?.substring(0, 50) || 'No caption'}..."`); console.log(` ${p.url}`); }); // 4. AI Strategy Analysis const strategy = await analyzeContentStrategy(posts, profile); console.log('\nβββββββββββββββββββββββββββββββββββββββ'); console.log('π― CONTENT STRATEGY BREAKDOWN'); console.log('βββββββββββββββββββββββββββββββββββββββ\n'); console.log('π Content Pillars:'); strategy.contentPillars.forEach((pillar, i) => { console.log(` ${i + 1}. ${pillar}`); }); console.log('\nβοΈ Caption Patterns:'); console.log(` Length: ${strategy.captionPatterns.avgLength}`); console.log(` Emoji Usage: ${strategy.captionPatterns.emojiUsage}`); console.log(` Hashtags: ${strategy.captionPatterns.hashtagStrategy}`); console.log('\n Top Hooks:'); strategy.captionPatterns.hooks.forEach(h => console.log(` β’ ${h}`)); console.log('\nπ¨ Visual Style:'); console.log(` Aesthetic: ${strategy.visualStyle.aesthetic}`); console.log(` Brand Consistency: ${strategy.visualStyle.brandConsistency}`); console.log(` Faces: ${strategy.visualStyle.facesInContent}`); console.log('\nβ
What Works for Them:'); strategy.whatWorks.forEach((w, i) => console.log(` ${i + 1}. ${w}`)); console.log('\nπ― STEAL THESE TACTICS:'); strategy.whatToSteal.forEach((s, i) => console.log(` ${i + 1}. ${s}`)); console.log('\nβ οΈ What to Avoid:'); strategy.whatToAvoid.forEach((a, i) => console.log(` ${i + 1}. ${a}`)); return { profile, posts, performance, strategy };
} COMMAND_BLOCK:
async function trackCompetitor(username) { console.log('\nπΈ Instagram Competitor Tracker\n'); console.log('βββββββββββββββββββββββββββββββββββββββ\n'); // 1. Get profile const profile = await getProfile(username); if (!profile) { console.log('Could not fetch profile.'); return; } console.log(`π€ @${profile.username} ${profile.isVerified ? 'β' : ''}`); console.log(` ${profile.fullName}`); console.log(` ${profile.category || 'Personal Account'}`); console.log(` "${profile.bio?.substring(0, 60) || 'No bio'}..."\n`); console.log(` π ${Number(profile.followers).toLocaleString()} followers`); console.log(` π· ${profile.posts} posts`); // 2. Get posts const posts = await getPosts(username); if (posts.length === 0) { console.log('\nNo posts found.'); return; } console.log(`\nβ
Analyzed ${posts.length} recent posts\n`); // 3. Performance analysis const performance = analyzePerformance(profile, posts); console.log('βββββββββββββββββββββββββββββββββββββββ'); console.log('π PERFORMANCE METRICS'); console.log('βββββββββββββββββββββββββββββββββββββββ\n'); console.log(`π Overall:`); console.log(` Engagement Rate: ${performance.overall.avgEngagementRate}`); console.log(` Avg Likes: ${performance.overall.avgLikes.toLocaleString()}`); console.log(` Avg Comments: ${performance.overall.avgComments.toLocaleString()}`); console.log(`\nπΈ By Format:`); console.log(` Images: ${performance.byType.images.count} posts, ${performance.byType.images.avgLikes.toLocaleString()} avg likes`); console.log(` Videos: ${performance.byType.videos.count} posts, ${performance.byType.videos.avgLikes.toLocaleString()} avg likes`); console.log(` Carousels: ${performance.byType.carousels.count} posts, ${performance.byType.carousels.avgLikes.toLocaleString()} avg likes`); console.log(`\nπ Best Format: ${performance.bestFormat.toUpperCase()}`); console.log('\nπ₯ Top Performing Posts:'); performance.topPosts.slice(0, 3).forEach((p, i) => { console.log(` ${i + 1}. ${(p.likes + p.comments).toLocaleString()} engagement`); console.log(` "${p.caption?.substring(0, 50) || 'No caption'}..."`); console.log(` ${p.url}`); }); // 4. AI Strategy Analysis const strategy = await analyzeContentStrategy(posts, profile); console.log('\nβββββββββββββββββββββββββββββββββββββββ'); console.log('π― CONTENT STRATEGY BREAKDOWN'); console.log('βββββββββββββββββββββββββββββββββββββββ\n'); console.log('π Content Pillars:'); strategy.contentPillars.forEach((pillar, i) => { console.log(` ${i + 1}. ${pillar}`); }); console.log('\nβοΈ Caption Patterns:'); console.log(` Length: ${strategy.captionPatterns.avgLength}`); console.log(` Emoji Usage: ${strategy.captionPatterns.emojiUsage}`); console.log(` Hashtags: ${strategy.captionPatterns.hashtagStrategy}`); console.log('\n Top Hooks:'); strategy.captionPatterns.hooks.forEach(h => console.log(` β’ ${h}`)); console.log('\nπ¨ Visual Style:'); console.log(` Aesthetic: ${strategy.visualStyle.aesthetic}`); console.log(` Brand Consistency: ${strategy.visualStyle.brandConsistency}`); console.log(` Faces: ${strategy.visualStyle.facesInContent}`); console.log('\nβ
What Works for Them:'); strategy.whatWorks.forEach((w, i) => console.log(` ${i + 1}. ${w}`)); console.log('\nπ― STEAL THESE TACTICS:'); strategy.whatToSteal.forEach((s, i) => console.log(` ${i + 1}. ${s}`)); console.log('\nβ οΈ What to Avoid:'); strategy.whatToAvoid.forEach((a, i) => console.log(` ${i + 1}. ${a}`)); return { profile, posts, performance, strategy };
} COMMAND_BLOCK:
async function compareCompetitors(usernames) { console.log('\nπ COMPETITOR COMPARISON\n'); console.log('βββββββββββββββββββββββββββββββββββββββ\n'); const results = []; for (const username of usernames) { console.log(`Analyzing @${username}...`); const profile = await getProfile(username); const posts = await getPosts(username); if (profile && posts.length > 0) { const performance = analyzePerformance(profile, posts); results.push({ username, profile, performance }); } await new Promise(r => setTimeout(r, 1000)); } // Sort by engagement rate results.sort((a, b) => parseFloat(b.performance.overall.avgEngagementRate) - parseFloat(a.performance.overall.avgEngagementRate) ); console.log('\nπ Ranked by Engagement Rate:\n'); results.forEach((r, i) => { console.log(`${i + 1}. @${r.username}`); console.log(` Followers: ${r.profile.followers.toLocaleString()}`); console.log(` Engagement: ${r.performance.overall.avgEngagementRate}`); console.log(` Avg Likes: ${r.performance.overall.avgLikes.toLocaleString()}`); console.log(` Best Format: ${r.performance.bestFormat}\n`); }); // Aggregate insights console.log('βββββββββββββββββββββββββββββββββββββββ'); console.log('π‘ INDUSTRY INSIGHTS'); console.log('βββββββββββββββββββββββββββββββββββββββ\n'); const avgEngagement = results.reduce((sum, r) => sum + parseFloat(r.performance.overall.avgEngagementRate), 0 ) / results.length; console.log(`Average Engagement Rate: ${avgEngagement.toFixed(2)}%`); console.log(`Leader: @${results[0]?.username} (${results[0]?.performance.overall.avgEngagementRate})`); return results;
} Enter fullscreen mode Exit fullscreen mode COMMAND_BLOCK:
async function compareCompetitors(usernames) { console.log('\nπ COMPETITOR COMPARISON\n'); console.log('βββββββββββββββββββββββββββββββββββββββ\n'); const results = []; for (const username of usernames) { console.log(`Analyzing @${username}...`); const profile = await getProfile(username); const posts = await getPosts(username); if (profile && posts.length > 0) { const performance = analyzePerformance(profile, posts); results.push({ username, profile, performance }); } await new Promise(r => setTimeout(r, 1000)); } // Sort by engagement rate results.sort((a, b) => parseFloat(b.performance.overall.avgEngagementRate) - parseFloat(a.performance.overall.avgEngagementRate) ); console.log('\nπ Ranked by Engagement Rate:\n'); results.forEach((r, i) => { console.log(`${i + 1}. @${r.username}`); console.log(` Followers: ${r.profile.followers.toLocaleString()}`); console.log(` Engagement: ${r.performance.overall.avgEngagementRate}`); console.log(` Avg Likes: ${r.performance.overall.avgLikes.toLocaleString()}`); console.log(` Best Format: ${r.performance.bestFormat}\n`); }); // Aggregate insights console.log('βββββββββββββββββββββββββββββββββββββββ'); console.log('π‘ INDUSTRY INSIGHTS'); console.log('βββββββββββββββββββββββββββββββββββββββ\n'); const avgEngagement = results.reduce((sum, r) => sum + parseFloat(r.performance.overall.avgEngagementRate), 0 ) / results.length; console.log(`Average Engagement Rate: ${avgEngagement.toFixed(2)}%`); console.log(`Leader: @${results[0]?.username} (${results[0]?.performance.overall.avgEngagementRate})`); return results;
} COMMAND_BLOCK:
async function compareCompetitors(usernames) { console.log('\nπ COMPETITOR COMPARISON\n'); console.log('βββββββββββββββββββββββββββββββββββββββ\n'); const results = []; for (const username of usernames) { console.log(`Analyzing @${username}...`); const profile = await getProfile(username); const posts = await getPosts(username); if (profile && posts.length > 0) { const performance = analyzePerformance(profile, posts); results.push({ username, profile, performance }); } await new Promise(r => setTimeout(r, 1000)); } // Sort by engagement rate results.sort((a, b) => parseFloat(b.performance.overall.avgEngagementRate) - parseFloat(a.performance.overall.avgEngagementRate) ); console.log('\nπ Ranked by Engagement Rate:\n'); results.forEach((r, i) => { console.log(`${i + 1}. @${r.username}`); console.log(` Followers: ${r.profile.followers.toLocaleString()}`); console.log(` Engagement: ${r.performance.overall.avgEngagementRate}`); console.log(` Avg Likes: ${r.performance.overall.avgLikes.toLocaleString()}`); console.log(` Best Format: ${r.performance.bestFormat}\n`); }); // Aggregate insights console.log('βββββββββββββββββββββββββββββββββββββββ'); console.log('π‘ INDUSTRY INSIGHTS'); console.log('βββββββββββββββββββββββββββββββββββββββ\n'); const avgEngagement = results.reduce((sum, r) => sum + parseFloat(r.performance.overall.avgEngagementRate), 0 ) / results.length; console.log(`Average Engagement Rate: ${avgEngagement.toFixed(2)}%`); console.log(`Leader: @${results[0]?.username} (${results[0]?.performance.overall.avgEngagementRate})`); return results;
} COMMAND_BLOCK:
// Store historical data
const competitorHistory = new Map(); async function monitorCompetitor(username) { const profile = await getProfile(username); const posts = await getPosts(username, 10); // Just recent posts const current = { timestamp: Date.now(), followers: profile.followers, avgLikes: posts.reduce((sum, p) => sum + p.likes, 0) / posts.length }; const history = competitorHistory.get(username) || []; history.push(current); competitorHistory.set(username, history); // Compare to previous if (history.length > 1) { const previous = history[history.length - 2]; const followerChange = current.followers - previous.followers; const engagementChange = current.avgLikes - previous.avgLikes; console.log(`\nπ @${username} Update:`); console.log(` Followers: ${followerChange >= 0 ? '+' : ''}${followerChange.toLocaleString()}`); console.log(` Avg Likes: ${engagementChange >= 0 ? '+' : ''}${Math.round(engagementChange).toLocaleString()}`); // Alert on significant changes if (Math.abs(followerChange) > 10000 || Math.abs(engagementChange) > 1000) { console.log(` β οΈ SIGNIFICANT CHANGE DETECTED`); } }
} // Monitor daily
const COMPETITORS = ['competitor1', 'competitor2', 'competitor3']; cron.schedule('0 9 * * *', async () => { console.log('\nπ
Daily Competitor Check\n'); for (const username of COMPETITORS) { await monitorCompetitor(username); await new Promise(r => setTimeout(r, 2000)); }
}); Enter fullscreen mode Exit fullscreen mode COMMAND_BLOCK:
// Store historical data
const competitorHistory = new Map(); async function monitorCompetitor(username) { const profile = await getProfile(username); const posts = await getPosts(username, 10); // Just recent posts const current = { timestamp: Date.now(), followers: profile.followers, avgLikes: posts.reduce((sum, p) => sum + p.likes, 0) / posts.length }; const history = competitorHistory.get(username) || []; history.push(current); competitorHistory.set(username, history); // Compare to previous if (history.length > 1) { const previous = history[history.length - 2]; const followerChange = current.followers - previous.followers; const engagementChange = current.avgLikes - previous.avgLikes; console.log(`\nπ @${username} Update:`); console.log(` Followers: ${followerChange >= 0 ? '+' : ''}${followerChange.toLocaleString()}`); console.log(` Avg Likes: ${engagementChange >= 0 ? '+' : ''}${Math.round(engagementChange).toLocaleString()}`); // Alert on significant changes if (Math.abs(followerChange) > 10000 || Math.abs(engagementChange) > 1000) { console.log(` β οΈ SIGNIFICANT CHANGE DETECTED`); } }
} // Monitor daily
const COMPETITORS = ['competitor1', 'competitor2', 'competitor3']; cron.schedule('0 9 * * *', async () => { console.log('\nπ
Daily Competitor Check\n'); for (const username of COMPETITORS) { await monitorCompetitor(username); await new Promise(r => setTimeout(r, 2000)); }
}); COMMAND_BLOCK:
// Store historical data
const competitorHistory = new Map(); async function monitorCompetitor(username) { const profile = await getProfile(username); const posts = await getPosts(username, 10); // Just recent posts const current = { timestamp: Date.now(), followers: profile.followers, avgLikes: posts.reduce((sum, p) => sum + p.likes, 0) / posts.length }; const history = competitorHistory.get(username) || []; history.push(current); competitorHistory.set(username, history); // Compare to previous if (history.length > 1) { const previous = history[history.length - 2]; const followerChange = current.followers - previous.followers; const engagementChange = current.avgLikes - previous.avgLikes; console.log(`\nπ @${username} Update:`); console.log(` Followers: ${followerChange >= 0 ? '+' : ''}${followerChange.toLocaleString()}`); console.log(` Avg Likes: ${engagementChange >= 0 ? '+' : ''}${Math.round(engagementChange).toLocaleString()}`); // Alert on significant changes if (Math.abs(followerChange) > 10000 || Math.abs(engagementChange) > 1000) { console.log(` β οΈ SIGNIFICANT CHANGE DETECTED`); } }
} // Monitor daily
const COMPETITORS = ['competitor1', 'competitor2', 'competitor3']; cron.schedule('0 9 * * *', async () => { console.log('\nπ
Daily Competitor Check\n'); for (const username of COMPETITORS) { await monitorCompetitor(username); await new Promise(r => setTimeout(r, 2000)); }
}); CODE_BLOCK:
async function main() { // Track a single competitor await trackCompetitor('hubspot'); // Or compare multiple // await compareCompetitors(['hubspot', 'buffer', 'hootsuite']);
} main(); Enter fullscreen mode Exit fullscreen mode CODE_BLOCK:
async function main() { // Track a single competitor await trackCompetitor('hubspot'); // Or compare multiple // await compareCompetitors(['hubspot', 'buffer', 'hootsuite']);
} main(); CODE_BLOCK:
async function main() { // Track a single competitor await trackCompetitor('hubspot'); // Or compare multiple // await compareCompetitors(['hubspot', 'buffer', 'hootsuite']);
} main(); CODE_BLOCK:
πΈ Instagram Competitor Tracker
βββββββββββββββββββββββββββββββββββββββ π€ @hubspot β HubSpot Marketing Software "Helping millions grow better. π§‘ CRM, marketing, sal..." π 748,000 followers π· 2,847 posts β
Analyzed 30 recent posts βββββββββββββββββββββββββββββββββββββββ
π PERFORMANCE METRICS
βββββββββββββββββββββββββββββββββββββββ π Overall: Engagement Rate: 0.89% Avg Likes: 5,234 Avg Comments: 147 πΈ By Format: Images: 8 posts, 4,892 avg likes Videos: 5 posts, 3,456 avg likes Carousels: 17 posts, 6,234 avg likes π Best Format: CAROUSELS βββββββββββββββββββββββββββββββββββββββ
π― CONTENT STRATEGY BREAKDOWN
βββββββββββββββββββββββββββββββββββββββ π Content Pillars: 1. Marketing tips and strategies 2. Workplace culture and humor 3. Product education 4. Industry news and trends 5. Customer success stories βοΈ Caption Patterns: Length: medium Emoji Usage: heavy Hashtags: 3-5 branded + niche hashtags Top Hooks: β’ "POV: [relatable work situation]" β’ "Here's what most marketers get wrong..." β’ "We asked 1000 marketers..." β’ Question-based hooks β’ "Save this for later π" π― STEAL THESE TACTICS: 1. Use carousels for educational content - swipe-through drives saves 2. Mix humor with value - relatable memes about marketing 3. Lead with data - "X% of marketers..." hooks work 4. End every carousel with a strong CTA slide 5. Repurpose blog content into visual carousels Enter fullscreen mode Exit fullscreen mode CODE_BLOCK:
πΈ Instagram Competitor Tracker
βββββββββββββββββββββββββββββββββββββββ π€ @hubspot β HubSpot Marketing Software "Helping millions grow better. π§‘ CRM, marketing, sal..." π 748,000 followers π· 2,847 posts β
Analyzed 30 recent posts βββββββββββββββββββββββββββββββββββββββ
π PERFORMANCE METRICS
βββββββββββββββββββββββββββββββββββββββ π Overall: Engagement Rate: 0.89% Avg Likes: 5,234 Avg Comments: 147 πΈ By Format: Images: 8 posts, 4,892 avg likes Videos: 5 posts, 3,456 avg likes Carousels: 17 posts, 6,234 avg likes π Best Format: CAROUSELS βββββββββββββββββββββββββββββββββββββββ
π― CONTENT STRATEGY BREAKDOWN
βββββββββββββββββββββββββββββββββββββββ π Content Pillars: 1. Marketing tips and strategies 2. Workplace culture and humor 3. Product education 4. Industry news and trends 5. Customer success stories βοΈ Caption Patterns: Length: medium Emoji Usage: heavy Hashtags: 3-5 branded + niche hashtags Top Hooks: β’ "POV: [relatable work situation]" β’ "Here's what most marketers get wrong..." β’ "We asked 1000 marketers..." β’ Question-based hooks β’ "Save this for later π" π― STEAL THESE TACTICS: 1. Use carousels for educational content - swipe-through drives saves 2. Mix humor with value - relatable memes about marketing 3. Lead with data - "X% of marketers..." hooks work 4. End every carousel with a strong CTA slide 5. Repurpose blog content into visual carousels CODE_BLOCK:
πΈ Instagram Competitor Tracker
βββββββββββββββββββββββββββββββββββββββ π€ @hubspot β HubSpot Marketing Software "Helping millions grow better. π§‘ CRM, marketing, sal..." π 748,000 followers π· 2,847 posts β
Analyzed 30 recent posts βββββββββββββββββββββββββββββββββββββββ
π PERFORMANCE METRICS
βββββββββββββββββββββββββββββββββββββββ π Overall: Engagement Rate: 0.89% Avg Likes: 5,234 Avg Comments: 147 πΈ By Format: Images: 8 posts, 4,892 avg likes Videos: 5 posts, 3,456 avg likes Carousels: 17 posts, 6,234 avg likes π Best Format: CAROUSELS βββββββββββββββββββββββββββββββββββββββ
π― CONTENT STRATEGY BREAKDOWN
βββββββββββββββββββββββββββββββββββββββ π Content Pillars: 1. Marketing tips and strategies 2. Workplace culture and humor 3. Product education 4. Industry news and trends 5. Customer success stories βοΈ Caption Patterns: Length: medium Emoji Usage: heavy Hashtags: 3-5 branded + niche hashtags Top Hooks: β’ "POV: [relatable work situation]" β’ "Here's what most marketers get wrong..." β’ "We asked 1000 marketers..." β’ Question-based hooks β’ "Save this for later π" π― STEAL THESE TACTICS: 1. Use carousels for educational content - swipe-through drives saves 2. Mix humor with value - relatable memes about marketing 3. Lead with data - "X% of marketers..." hooks work 4. End every carousel with a strong CTA slide 5. Repurpose blog content into visual carousels - Monitors any public Instagram account
- Tracks which posts perform best
- Extracts winning content patterns with AI - Time-consuming (who has 2 hours/day?)
- No historical data (you see what's there NOW)
- No engagement analysis (can't see what's actually working)
- No pattern detection (your brain misses trends) - Node.js: Runtime
- SociaVault API: To fetch Instagram data
- OpenAI API: For content strategy analysis
- node-cron: For scheduled monitoring - Sprout Social: $249+/month
- Iconosquare: $49+/month
- Socialbakers: Custom pricing ($$$$) - Get your SociaVault API Key
- List your top 5 competitors
- Run the tracker
- Steal their winning tactics (legally)
how-totutorialguidedev.toaiopenaigptcronnode