He4rt Marketing Extension Skill
Skill by ara.so — Marketing Skills collection.
Overview
The He4rt Marketing Extension is a Chrome browser extension that passively intercepts X/Twitter GraphQL API responses to capture community engagement metrics. It's designed for community managers who need granular engagement data that Twitter's native analytics don't provide — like bulk engagement exports, consistent community member interactions, reply tracking across posts, and favoriter lists.
The extension runs in the background while you browse X, captures GraphQL responses, deduplicates data, and exports structured JSON ready for ingestion into a Laravel backend (or any analytics system).
Installation
- Clone or Download: Get the extension files into a local directory
- Load in Chrome:
- Navigate to
chrome://extensions/ - Enable Developer mode (toggle in top right)
- Click Load unpacked
- Select the extension directory
- Verify: The He4rt Analytics icon should appear in your extensions toolbar
Architecture
The extension uses three core scripts:
interceptor.js: Runs in MAIN world (page context) to patchwindow.fetch()and intercept GraphQL responsescontent.js: Runs in ISOLATED world (extension context) to bridge page → background viachrome.runtime.sendMessagebackground.js: Service worker that filters, consolidates, deduplicates, and stores captured data
Communication flow:
X.com page → interceptor.js (fetch patch) → postMessage → content.js → chrome.runtime → background.js → chrome.storage
Key Workflows
1. Start Tracking an Account
Open the extension popup and set the Twitter handle to track:
// In popup.js - setting tracked handle
document.getElementById('trackBtn').addEventListener('click', async () => {
const handle = document.getElementById('handleInput').value.trim().replace('@', '');
await chrome.storage.local.set({ trackedHandle: handle });
// Notify background script
chrome.runtime.sendMessage({
type: 'SET_TRACKED_HANDLE',
handle
});
});
User action: Type the handle (e.g., He4rtDevs) and click "Track"
2. Passive Data Capture
Once tracking is active, browse normally on x.com:
- Scroll the tracked account's profile → Captures
UserTweetsendpoint (tweets + metrics) - Click on a tweet's like count → Captures
Favoritersendpoint (users who liked) - Open individual tweets → Captures
TweetDetailendpoint (replies) - Visit the profile → Captures
UserByScreenNameendpoint (profile data)
The extension automatically filters for the tracked handle and stores relevant data.
3. Export Captured Data
Click "Export JSON" in the popup to download structured data:
// In popup.js - export logic
document.getElementById('exportBtn').addEventListener('click', async () => {
const response = await chrome.runtime.sendMessage({ type: 'EXPORT_JSON' });
const blob = new Blob([JSON.stringify(response.data, null, 2)], {
type: 'application/json'
});
const url = URL.createObjectURL(blob);
const a = document.createElement('a');
a.href = url;
a.download = `x-${response.trackedHandle}-${new Date().toISOString().split('T')[0]}.json`;
a.click();
URL.revokeObjectURL(url);
});
Captured Data Structure
Export JSON Schema
{
"tracked_account": {
"screen_name": "He4rtDevs",
"name": "He4rt Developers",
"rest_id": "1098020856431824897",
"followers_count": 20945,
"following_count": 1250,
"statuses_count": 2178,
"description": "Community bio...",
"verified": false
},
"exported_at": "2026-05-19T00:15:00.000Z",
"tweets": [
{
"tweet_id": "2056491987205865474",
"text": "Tweet content...",
"type": "original",
"created_at": "2026-05-18T23:30:00.000Z",
"metrics": {
"favorite_count": 8,
"retweet_count": 4,
"reply_count": 2,
"quote_count": 1,
"bookmark_count": 0,
"view_count": 354
},
"hashtags": ["He4rtDevelopers"],
"user_mentions": [{"screen_name": "He4rtDevs", "id": "..."}],
"media_count": 2,
"source": "Twitter for iPhone"
}
],
"community_replies": [
{
"tweet_id": "2056491988000000001",
"author": {
"screen_name": "community_member",
"rest_id": "123456789",
"followers_count": 150,
"verified": false
},
"text": "Reply text...",
"in_reply_to_tweet_id": "2056491987205865474",
"created_at": "2026-05-19T00:00:00.000Z"
}
],
"favoriters_by_tweet": {
"2056491987205865474": [
{
"rest_id": "987654321",
"screen_name": "engaged_user",
"name": "Display Name",
"followers_count": 500,
"following": true,
"followed_by": true,
"verified": false
}
]
},
"summary": {
"total_tweets": 20,
"total_original": 15,
"total_retweets": 3,
"total_replies": 2,
"total_community_replies": 45,
"total_likes": 500,
"total_views": 15000,
"avg_likes_per_original": 33,
"avg_views_per_original": 1000,
"unique_engagers": 87,
"top_tweet_by_likes": "2052386746126553531",
"top_tweet_by_views": "2051468028299153703"
}
}
Integration with Backend (Laravel Example)
Ingestion Command
<?php
namespace App\Console\Commands;
use App\Models\TwitterAccount;
use App\Models\Tweet;
use App\Models\CommunityEngagement;
use Illuminate\Console\Command;
class IngestTwitterAnalytics extends Command
{
protected $signature = 'analytics:ingest {file}';
protected $description = 'Ingest exported JSON from He4rt Analytics extension';
public function handle()
{
$path = $this->argument('file');
if (!file_exists($path)) {
$this->error("File not found: {$path}");
return 1;
}
$data = json_decode(file_get_contents($path), true);
// Upsert tracked account
$account = TwitterAccount::updateOrCreate(
['rest_id' => $data['tracked_account']['rest_id']],
[
'screen_name' => $data['tracked_account']['screen_name'],
'name' => $data['tracked_account']['name'],
'followers_count' => $data['tracked_account']['followers_count'],
'following_count' => $data['tracked_account']['following_count'] ?? null,
'statuses_count' => $data['tracked_account']['statuses_count'],
'description' => $data['tracked_account']['description'] ?? null,
'verified' => $data['tracked_account']['verified'] ?? false,
]
);
$this->info("Updated account: @{$account->screen_name}");
// Upsert tweets
foreach ($data['tweets'] as $tweetData) {
Tweet::updateOrCreate(
['tweet_id' => $tweetData['tweet_id']],
[
'twitter_account_id' => $account->id,
'text' => $tweetData['text'],
'type' => $tweetData['type'],
'created_at' => $tweetData['created_at'],
'favorite_count' => $tweetData['metrics']['favorite_count'],
'retweet_count' => $tweetData['metrics']['retweet_count'],
'reply_count' => $tweetData['metrics']['reply_count'],
'quote_count' => $tweetData['metrics']['quote_count'],
'view_count' => $tweetData['metrics']['view_count'] ?? null,
'hashtags' => json_encode($tweetData['hashtags'] ?? []),
'media_count' => $tweetData['media_count'] ?? 0,
]
);
}
$this->info("Ingested {$data['summary']['total_tweets']} tweets");
// Track community replies
foreach ($data['community_replies'] ?? [] as $reply) {
CommunityEngagement::updateOrCreate(
[
'tweet_id' => $reply['tweet_id'],
'author_rest_id' => $reply['author']['rest_id'],
],
[
'author_screen_name' => $reply['author']['screen_name'],
'engagement_type' => 'reply',
'in_reply_to_tweet_id' => $reply['in_reply_to_tweet_id'],
'followers_count' => $reply['author']['followers_count'],
'engaged_at' => $reply['created_at'],
]
);
}
// Track favoriters
foreach ($data['favoriters_by_tweet'] ?? [] as $tweetId => $users) {
foreach ($users as $user) {
CommunityEngagement::updateOrCreate(
[
'tweet_id' => $tweetId,
'author_rest_id' => $user['rest_id'],
'engagement_type' => 'like',
],
[
'author_screen_name' => $user['screen_name'],
'followers_count' => $user['followers_count'],
'is_mutual' => $user['following'] && $user['followed_by'],
'engaged_at' => now(), // Approximate
]
);
}
}
$this->info("Tracked {$data['summary']['unique_engagers']} unique engagers");
$this->info("Ingestion complete!");
return 0;
}
}
Database Schema Example
// Migration for tweets table
Schema::create('tweets', function (Blueprint $table) {
$table->id();
$table->string('tweet_id')->unique();
$table->foreignId('twitter_account_id')->constrained();
$table->text('text');
$table->enum('type', ['original', 'retweet', 'reply', 'quote']);
$table->integer('favorite_count')->default(0);
$table->integer('retweet_count')->default(0);
$table->integer('reply_count')->default(0);
$table->integer('quote_count')->default(0);
$table->integer('view_count')->nullable();
$table->json('hashtags')->nullable();
$table->integer('media_count')->default(0);
$table->timestamps();
$table->index('created_at');
});
// Migration for community_engagements table
Schema::create('community_engagements', function (Blueprint $table) {
$table->id();
$table->string('tweet_id');
$table->string('author_rest_id');
$table->string('author_screen_name');
$table->enum('engagement_type', ['like', 'reply', 'retweet', 'quote']);
$table->string('in_reply_to_tweet_id')->nullable();
$table->integer('followers_count')->nullable();
$table->boolean('is_mutual')->default(false);
$table->timestamp('engaged_at')->nullable();
$table->timestamps();
$table->unique(['tweet_id', 'author_rest_id', 'engagement_type']);
$table->index('author_screen_name');
});
Extension Development Patterns
Adding Custom GraphQL Endpoint Parsing
To capture additional endpoints, modify background.js:
// In background.js
chrome.runtime.onMessage.addListener((message, sender, sendResponse) => {
if (message.type === 'GRAPHQL_RESPONSE') {
const { url, data, trackedHandle } = message;
// Custom endpoint: Retweeters
if (url.includes('Retweeters')) {
const retweeters = extractRetweeters(data);
const tweetId = extractTweetIdFromUrl(url);
chrome.storage.local.get(['retweetersByTweet'], (result) => {
const existing = result.retweetersByTweet || {};
existing[tweetId] = retweeters;
chrome.storage.local.set({ retweetersByTweet: existing });
});
}
}
});
function extractRetweeters(data) {
try {
const timeline = data?.data?.retweeters_timeline?.timeline;
const entries = timeline?.instructions?.find(i => i.type === 'TimelineAddEntries')?.entries || [];
return entries
.filter(e => e.entryId.startsWith('user-'))
.map(e => {
const user = e.content?.itemContent?.user_results?.result?.legacy;
return {
rest_id: user?.id_str,
screen_name: user?.screen_name,
name: user?.name,
followers_count: user?.followers_count,
};
})
.filter(u => u.rest_id);
} catch (e) {
console.error('Error extracting retweeters:', e);
return [];
}
}
Custom Export Filters
Filter exported data programmatically:
// Export only high-performing tweets
async function exportHighPerformers(minLikes = 10, minViews = 1000) {
const response = await chrome.runtime.sendMessage({ type: 'EXPORT_JSON' });
const data = response.data;
data.tweets = data.tweets.filter(t =>
t.metrics.favorite_count >= minLikes &&
t.metrics.view_count >= minViews
);
// Recalculate summary
data.summary.total_tweets = data.tweets.length;
data.summary.total_likes = data.tweets.reduce((sum, t) => sum + t.metrics.favorite_count, 0);
return data;
}
Webhook Integration (Auto-Push)
Instead of manual exports, push to an API endpoint:
// In background.js - add periodic sync
chrome.alarms.create('syncAnalytics', { periodInMinutes: 60 });
chrome.alarms.onAlarm.addListener(async (alarm) => {
if (alarm.name === 'syncAnalytics') {
const data = await buildExportJSON();
// Push to your API
fetch(process.env.HE4RT_API_ENDPOINT, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': `Bearer ${process.env.HE4RT_API_TOKEN}`,
},
body: JSON.stringify(data),
})
.then(res => console.log('Synced analytics:', res.status))
.catch(err => console.error('Sync failed:', err));
}
});
Troubleshooting
Extension Not Capturing Data
Symptom: Popup shows 0 tweets captured after browsing
Solutions:
- Check tracked handle: Open popup → verify handle is set correctly (no @ symbol)
- Verify you're on x.com: Extension only runs on
://x.com/and://twitter.com/ - Inspect console: Right-click extension icon → Inspect popup → check Console for errors
- Check background service worker:
chrome://extensions/→ He4rt Analytics → "service worker" link → check logs - Reload extension: Toggle off/on in
chrome://extensions/
Favoriters Not Captured
Symptom: favoriters_by_tweet is empty in export
Cause: Must manually click on the like count to trigger the Favoriters GraphQL request
Solution:
- Click the "X likes" text on a tweet (not the heart icon)
- Wait for modal to load
- Scroll through the list of users
- Extension captures all visible users
Duplicate Tweets in Export
Symptom: Same tweet_id appears multiple times
Cause: Bug in deduplication logic in background.js
Solution: Check consolidateTweets() function uses proper Map-based deduplication:
function consolidateTweets(tweets) {
const map = new Map();
tweets.forEach(tweet => {
if (!map.has(tweet.tweet_id)) {
map.set(tweet.tweet_id, tweet);
}
});
return Array.from(map.values());
}
CSP Errors in Console
Symptom: Refused to execute inline script errors
Cause: X.com's Content Security Policy blocks inline scripts
Solution: Ensure interceptor.js uses "world": "MAIN" in manifest.json:
{
"content_scripts": [
{
"matches": ["*://x.com/*", "*://twitter.com/*"],
"js": ["interceptor.js"],
"run_at": "document_start",
"world": "MAIN"
}
]
}
Extension Breaks X.com Functionality
Symptom: X.com stops loading tweets or errors out
Cause: fetch() patch breaking original requests
Solution: Ensure interceptor.js properly clones and passes through responses:
const originalFetch = window.fetch;
window.fetch = async function(...args) {
const response = await originalFetch.apply(this, args);
// Clone before reading (response can only be read once)
const clonedResponse = response.clone();
// Process clone, return original
processGraphQLResponse(args[0], clonedResponse);
return response; // Original unmodified
};
Environment Variables
When integrating with backend APIs, use environment variables:
// For Chrome extensions, use chrome.storage for config
chrome.storage.sync.get(['apiEndpoint', 'apiToken'], (config) => {
const API_ENDPOINT = config.apiEndpoint || 'https://hub.heartdevs.com/api/analytics';
const API_TOKEN = config.apiToken || '';
// Use in fetch calls
});
Set via options page:
// options.js
document.getElementById('saveConfig').addEventListener('click', () => {
const apiEndpoint = document.getElementById('apiEndpoint').value;
const apiToken = document.getElementById('apiToken').value;
chrome.storage.sync.set({ apiEndpoint, apiToken }, () => {
alert('Configuration saved!');
});
});
Best Practices
- Respect Rate Limits: Don't auto-scroll aggressively; capture data during normal browsing
- Privacy: Only track public data; never capture DMs or private account data
- Data Hygiene: Regularly export and clear old data to prevent storage bloat
- Testing: Test on a secondary account before tracking production community accounts
- Version Control: Keep
manifest.jsonversion synced with releases for update tracking



