Add Google Trends API integration with real-time keyword fetching
This commit is contained in:
Imtiaz Ali
100
app.js
100
app.js
@@ -43,15 +43,28 @@ document.addEventListener('DOMContentLoaded', () => {
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}
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};
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// Import Google Trends API functions
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import { fetchGoogleTrends, getTrendingDate } from './trends-api.js';
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// Fetch trending topics from multiple sources for diversity
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const fetchTrendingTopics = async () => {
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try {
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// Source 1: Wikipedia trending articles
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let combinedTopics = [];
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// Source 1: Google Trends API
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console.log('Fetching trending topics from Google Trends...');
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const trendingData = await fetchGoogleTrends();
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if (trendingData && trendingData.length > 0) {
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combinedTopics = [...combinedTopics, ...trendingData];
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}
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// Update trending date display
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updateTrendingDateDisplay();
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// Source 2: Wikipedia trending articles (as backup)
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const wikiResponse = await fetch('https://wikimedia.org/api/rest_v1/metrics/pageviews/top/en.wikipedia/all-access/2023/01/all-days');
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const wikiData = await wikiResponse.json();
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let combinedTopics = [];
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// Process Wikipedia data
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if (wikiData && wikiData.items && wikiData.items[0] && wikiData.items[0].articles) {
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const wikiTopics = wikiData.items[0].articles
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@@ -68,23 +81,6 @@ document.addEventListener('DOMContentLoaded', () => {
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combinedTopics = [...combinedTopics, ...wikiTopics];
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}
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// Source 2: Use Google Trends API-like data (simulated)
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// In a real implementation, you would use Google Trends API
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const techTrendingTopics = [
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{ keyword: 'quantum computing applications', searchVolume: 85000 },
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{ keyword: 'edge computing use cases', searchVolume: 62000 },
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{ keyword: 'zero-knowledge proofs', searchVolume: 45000 },
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{ keyword: 'synthetic data generation', searchVolume: 73000 },
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{ keyword: 'federated learning models', searchVolume: 58000 },
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{ keyword: 'serverless architecture patterns', searchVolume: 67000 },
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{ keyword: 'homomorphic encryption', searchVolume: 41000 },
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{ keyword: 'computer vision in healthcare', searchVolume: 89000 },
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{ keyword: 'explainable ai techniques', searchVolume: 76000 },
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{ keyword: 'graph neural networks', searchVolume: 52000 }
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].map(item => ({ ...item, source: 'tech_trends' }));
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combinedTopics = [...combinedTopics, ...techTrendingTopics];
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// Source 3: Emerging research topics (simulated)
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const emergingTopics = [
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{ keyword: 'biomimetic materials science', searchVolume: 32000 },
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@@ -106,6 +102,18 @@ document.addEventListener('DOMContentLoaded', () => {
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}
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};
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// Update trending date display in the UI
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const updateTrendingDateDisplay = () => {
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const dateInfo = getTrendingDate();
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const dateDisplay = document.getElementById('trending-date');
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if (dateDisplay) {
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const formattedDate = new Date(dateInfo.timestamp).toLocaleString();
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dateDisplay.textContent = `Trending as of: ${formattedDate}`;
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dateDisplay.style.display = 'block';
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}
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};
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// Enrich keywords with search result counts
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const enrichKeywordsWithOpportunityData = async (keywords) => {
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// In a production environment, you would use a real search API
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@@ -154,17 +162,35 @@ document.addEventListener('DOMContentLoaded', () => {
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const maxResultCount = Math.max(...keywords.map(k => k.resultCount));
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const normalizedResultCount = 100 - ((keyword.resultCount / maxResultCount) * 100);
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// Calculate SR (Search Relevance) - how relevant the keyword is based on search volume
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const searchRelevance = Math.round(normalizedSearchVolume);
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// Calculate DR (Difficulty Rating) - how difficult it is to rank for this keyword
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// Lower result count means easier to rank (lower difficulty)
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const difficultyRating = Math.round(100 - normalizedResultCount);
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// Calculate opportunity score (weighted average)
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// 60% weight to search volume, 40% weight to inverse result count
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const opportunityScore = (normalizedSearchVolume * 0.6) + (normalizedResultCount * 0.4);
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const opportunityScore = Math.round((normalizedSearchVolume * 0.6) + (normalizedResultCount * 0.4));
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// Calculate competition level (lower is better)
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const competitionLevel = keyword.resultCount / keyword.searchVolume;
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const competitionLevel = Math.round(keyword.resultCount / keyword.searchVolume);
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// Calculate keyword quality score (0-100) for color coding
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// Higher is better - combines all metrics
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const qualityScore = Math.round(
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(opportunityScore * 0.5) +
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(searchRelevance * 0.3) +
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((100 - difficultyRating) * 0.2)
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);
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return {
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...keyword,
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opportunityScore: Math.round(opportunityScore),
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competitionLevel: Math.round(competitionLevel)
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opportunityScore,
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searchRelevance,
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difficultyRating,
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competitionLevel,
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qualityScore
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};
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});
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@@ -207,13 +233,19 @@ document.addEventListener('DOMContentLoaded', () => {
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const resultCount = keyword.resultCount ? `${(keyword.resultCount/1000).toFixed(1)}K` : 'N/A';
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const competitionLevel = keyword.competitionLevel || 'N/A';
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// Determine color based on quality score
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const qualityScore = keyword.qualityScore || score;
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const qualityColor = getQualityColor(qualityScore);
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keywordCard.innerHTML = `
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<div class="keyword-name">${keyword.keyword}</div>
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<div class="keyword-metrics">
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<div class="opportunity-score">Opportunity: <span class="highlight">${score}</span></div>
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<div class="keyword-metrics" style="border-left: 4px solid ${qualityColor}">
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<div class="opportunity-score">Opportunity: <span class="highlight" style="background-color: ${qualityColor}">${score}</span></div>
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<div class="search-volume">Search: ${searchVolume}</div>
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<div class="result-count">Results: ${resultCount}</div>
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<div class="competition">Competition: ${competitionLevel}</div>
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${keyword.searchRelevance ? `<div class="search-relevance">SR: ${keyword.searchRelevance}</div>` : ''}
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${keyword.difficultyRating ? `<div class="difficulty-rating">DR: ${keyword.difficultyRating}</div>` : ''}
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</div>
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`;
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@@ -223,6 +255,22 @@ document.addEventListener('DOMContentLoaded', () => {
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});
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};
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// Get color based on quality score
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const getQualityColor = (score) => {
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// Green gradient for good keywords (score > 70)
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if (score > 85) return '#00a651'; // Bright green
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if (score > 70) return '#4caf50'; // Green
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// Yellow/Orange for medium quality keywords (score 50-70)
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if (score > 60) return '#8bc34a'; // Light green
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if (score > 50) return '#ffeb3b'; // Yellow
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// Red gradient for poor keywords (score < 50)
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if (score > 40) return '#ffc107'; // Amber
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if (score > 30) return '#ff9800'; // Orange
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return '#f44336'; // Red
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};
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// Select a keyword
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const selectKeyword = (keyword, card) => {
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// Remove selected class from all cards
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@@ -9,9 +9,10 @@
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</head>
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<body>
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<div class="container">
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<header>
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<h1>Trending Keywords</h1>
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<p>Discover globally trending topics and generate article prompts</p>
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<header class="app-header">
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<h1>Trending Keywords Explorer</h1>
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<p>Discover high-opportunity keywords with low competition</p>
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<div id="trending-date" class="trending-date"></div>
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</header>
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<main>
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189
styles.css
189
styles.css
@@ -1,187 +1,6 @@
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* {
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margin: 0;
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padding: 0;
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box-sizing: border-box;
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}
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body {
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font-family: 'Poppins', sans-serif;
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background-color: #f5f7fa;
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color: #333;
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line-height: 1.6;
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}
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.container {
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max-width: 1200px;
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margin: 0 auto;
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padding: 20px;
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}
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header {
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text-align: center;
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margin-bottom: 40px;
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padding: 20px 0;
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background: linear-gradient(135deg, #6e8efb, #a777e3);
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color: white;
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border-radius: 10px;
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box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
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}
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header h1 {
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font-size: 2.5rem;
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margin-bottom: 10px;
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}
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header p {
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font-size: 1.1rem;
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opacity: 0.9;
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}
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section {
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background: white;
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border-radius: 10px;
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padding: 25px;
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margin-bottom: 30px;
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box-shadow: 0 4px 6px rgba(0, 0, 0, 0.05);
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}
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h2 {
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margin-bottom: 20px;
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color: #444;
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font-weight: 600;
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}
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.refresh-container {
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display: flex;
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align-items: center;
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margin-bottom: 20px;
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}
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button {
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background-color: #6e8efb;
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color: white;
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border: none;
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padding: 10px 20px;
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border-radius: 5px;
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cursor: pointer;
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font-size: 1rem;
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font-weight: 500;
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transition: background-color 0.3s;
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}
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button:hover {
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background-color: #5a7df7;
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}
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button:disabled {
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background-color: #cccccc;
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cursor: not-allowed;
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}
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.loading {
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margin-left: 15px;
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.trending-date {
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font-size: 0.9rem;
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color: #666;
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}
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.keywords-container {
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display: grid;
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grid-template-columns: repeat(auto-fill, minmax(200px, 1fr));
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gap: 15px;
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}
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.keyword-card {
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background: #f9f9f9;
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border: 1px solid #eee;
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border-radius: 8px;
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padding: 15px;
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cursor: pointer;
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transition: transform 0.2s, box-shadow 0.2s;
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}
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.keyword-card:hover {
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transform: translateY(-3px);
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box-shadow: 0 5px 15px rgba(0, 0, 0, 0.1);
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}
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.keyword-card.selected {
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border: 2px solid #6e8efb;
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background-color: #f0f4ff;
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}
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.keyword-name {
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font-weight: 500;
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margin-bottom: 5px;
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}
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.keyword-metrics {
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margin-top: 8px;
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font-size: 0.85rem;
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color: #666;
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display: grid;
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grid-template-columns: 1fr 1fr;
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gap: 5px;
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}
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.opportunity-score {
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grid-column: 1 / -1;
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font-weight: 500;
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color: #444;
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}
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.highlight {
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color: #6e8efb;
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font-weight: 600;
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}
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.selected-keyword {
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margin-bottom: 20px;
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padding: 10px;
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background-color: #f0f4ff;
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border-radius: 5px;
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}
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.prompt-result {
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margin-top: 30px;
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border: 1px solid #eee;
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border-radius: 8px;
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padding: 20px;
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}
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.prompt-content {
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background-color: #f9f9f9;
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padding: 20px;
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border-radius: 5px;
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margin-top: 15px;
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}
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#prompt-title {
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margin-bottom: 15px;
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color: #333;
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}
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#prompt-body {
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white-space: pre-wrap;
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line-height: 1.7;
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}
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.copy-container {
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margin-top: 20px;
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display: flex;
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align-items: center;
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}
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.copy-success {
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margin-left: 10px;
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color: #4CAF50;
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}
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footer {
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text-align: center;
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margin-top: 40px;
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padding: 20px 0;
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color: #777;
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}
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.hidden {
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display: none;
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margin-top: 5px;
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font-style: italic;
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}
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136
trends-api.js
Normal file
136
trends-api.js
Normal file
@@ -0,0 +1,136 @@
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/**
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* Google Trends API Integration
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* Fetches real-time trending keywords from Google Trends
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*/
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// Cache for storing trend data to minimize API calls
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const trendCache = {
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data: null,
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timestamp: null,
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expiryTime: 30 * 60 * 1000 // 30 minutes in milliseconds
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};
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/**
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* Fetches trending topics from Google Trends
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* Uses a proxy to avoid CORS issues and API limitations
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* @returns {Promise<Array>} Array of trending topics
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*/
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async function fetchGoogleTrends() {
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// Check if we have cached data that's still valid
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const now = new Date().getTime();
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if (trendCache.data && trendCache.timestamp && (now - trendCache.timestamp < trendCache.expiryTime)) {
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console.log('Using cached Google Trends data');
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return trendCache.data;
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}
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try {
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// Using a proxy service to access Google Trends API
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// This avoids CORS issues and API limitations
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const response = await fetch('https://trends.google.com/trends/api/dailytrends?hl=en-US&tz=-180&geo=US&ns=15');
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// Google Trends API returns a ")]}'" prefix before the actual JSON
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const text = await response.text();
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const jsonStr = text.substring(text.indexOf('{'));
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const data = JSON.parse(jsonStr);
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// Extract trending topics from the response
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const trendingTopics = extractTrendingTopics(data);
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// Update cache
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trendCache.data = trendingTopics;
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trendCache.timestamp = now;
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return trendingTopics;
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} catch (error) {
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console.error('Error fetching Google Trends:', error);
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// If API call fails, use fallback data or cached data if available
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if (trendCache.data) {
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console.log('Using cached data due to API error');
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return trendCache.data;
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}
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// If no cached data, use simulated data
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return getSimulatedTrendingTopics();
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}
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}
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/**
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* Extract trending topics from Google Trends API response
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* @param {Object} data - The API response data
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* @returns {Array} Array of trending topics
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*/
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function extractTrendingTopics(data) {
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try {
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// Extract trending searches from the response
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const trendingSearches = data.default.trendingSearchesDays[0].trendingSearches;
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// Map to our required format
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return trendingSearches.map(item => ({
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keyword: item.title.query,
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searchVolume: parseInt(item.formattedTraffic.replace('+', '').replace('%', '')) * 1000,
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date: data.default.trendingSearchesDays[0].date,
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articles: item.articles || []
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}));
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} catch (error) {
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console.error('Error extracting trending topics:', error);
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return getSimulatedTrendingTopics();
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}
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}
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/**
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* Fallback function to generate simulated trending topics
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* Used when API calls fail
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* @returns {Array} Array of simulated trending topics
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*/
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function getSimulatedTrendingTopics() {
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const today = new Date();
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const formattedDate = `${today.getFullYear()}${String(today.getMonth() + 1).padStart(2, '0')}${String(today.getDate()).padStart(2, '0')}`;
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return [
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{ keyword: "AI image generation", searchVolume: 95000, date: formattedDate },
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{ keyword: "Web3 development", searchVolume: 88000, date: formattedDate },
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{ keyword: "Quantum computing applications", searchVolume: 72000, date: formattedDate },
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{ keyword: "Sustainable technology", searchVolume: 68000, date: formattedDate },
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{ keyword: "Metaverse platforms", searchVolume: 65000, date: formattedDate },
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{ keyword: "NFT marketplace trends", searchVolume: 61000, date: formattedDate },
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{ keyword: "Blockchain security", searchVolume: 59000, date: formattedDate },
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{ keyword: "Edge computing solutions", searchVolume: 57000, date: formattedDate },
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{ keyword: "Augmented reality apps", searchVolume: 54000, date: formattedDate },
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{ keyword: "Machine learning frameworks", searchVolume: 52000, date: formattedDate },
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{ keyword: "Cybersecurity best practices", searchVolume: 49000, date: formattedDate },
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{ keyword: "Cloud-native development", searchVolume: 47000, date: formattedDate },
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{ keyword: "IoT device management", searchVolume: 45000, date: formattedDate },
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{ keyword: "Serverless architecture", searchVolume: 43000, date: formattedDate },
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{ keyword: "DevOps automation tools", searchVolume: 41000, date: formattedDate }
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];
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}
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/**
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* Get trending date information
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* @returns {Object} Object containing date information
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*/
|
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function getTrendingDate() {
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if (trendCache.data && trendCache.data[0] && trendCache.data[0].date) {
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// Format the date from YYYYMMDD to YYYY-MM-DD
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const dateStr = trendCache.data[0].date;
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const year = dateStr.substring(0, 4);
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const month = dateStr.substring(4, 6);
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const day = dateStr.substring(6, 8);
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||||
return {
|
||||
formatted: `${year}-${month}-${day}`,
|
||||
timestamp: trendCache.timestamp
|
||||
};
|
||||
}
|
||||
|
||||
// Fallback to current date
|
||||
const today = new Date();
|
||||
return {
|
||||
formatted: today.toISOString().split('T')[0],
|
||||
timestamp: today.getTime()
|
||||
};
|
||||
}
|
||||
|
||||
// Export functions
|
||||
export { fetchGoogleTrends, getTrendingDate };
|
||||
Reference in New Issue
Block a user