Google Search Console Tool SEO, JavaScript

```javascript
/**
 *  This is a placeholder.  Google Search Console API functionality requires authentication 
 *  and handling of potentially sensitive data.  This code is a simplified example and 
 *  should NOT be used directly in a production environment without proper security considerations.
 *
 *  Instead of directly interacting with the Google Search Console API, this example will
 *  simulate common SEO analysis that one might perform using data fetched from the API.
 *
 *  Assumptions:
 *   - We have hypothetical data representing Search Console performance data (clicks, impressions, CTR, position)
 *   - The data is structured as an array of objects.
 *   - This data has already been retrieved and processed (using the API or other means).
 */

// Hypothetical Search Console Data (replace with actual fetched data)
const searchConsoleData = [
  { query: "best javascript tutorial", clicks: 150, impressions: 1000, ctr: 0.15, position: 2.5, date: "2024-01-01" },
  { query: "javascript framework comparison", clicks: 80, impressions: 600, ctr: 0.133, position: 4.0, date: "2024-01-01" },
  { query: "react vs angular vs vue", clicks: 120, impressions: 900, ctr: 0.133, position: 3.0, date: "2024-01-01" },
  { query: "node js tutorial for beginners", clicks: 200, impressions: 1200, ctr: 0.167, position: 1.8, date: "2024-01-01" },
  { query: "es6 features explained", clicks: 90, impressions: 700, ctr: 0.129, position: 5.0, date: "2024-01-01" },
  { query: "javascript performance optimization", clicks: 70, impressions: 500, ctr: 0.14, position: 6.0, date: "2024-01-01" },
  { query: "best javascript tutorial", clicks: 160, impressions: 1100, ctr: 0.145, position: 2.2, date: "2024-01-08" },
  { query: "javascript framework comparison", clicks: 90, impressions: 650, ctr: 0.138, position: 3.8, date: "2024-01-08" },
  { query: "react vs angular vs vue", clicks: 130, impressions: 950, ctr: 0.137, position: 2.8, date: "2024-01-08" },
  { query: "node js tutorial for beginners", clicks: 210, impressions: 1250, ctr: 0.168, position: 1.7, date: "2024-01-08" },
  { query: "es6 features explained", clicks: 100, impressions: 750, ctr: 0.133, position: 4.8, date: "2024-01-08" },
  { query: "javascript performance optimization", clicks: 80, impressions: 550, ctr: 0.145, position: 5.8, date: "2024-01-08" }
];

/**
 * Function to perform basic SEO analysis on the Search Console data.
 */
function analyzeSearchConsoleData(data) {
  if (!data || !Array.isArray(data) || data.length === 0) {
    console.warn("No data provided or data is invalid.");
    return;
  }

  // 1. Calculate Average Position and CTR
  let totalPosition = 0;
  let totalCTR = 0;
  let totalClicks = 0;
  let totalImpressions = 0;

  data.forEach(item => {
    totalPosition += item.position;
    totalCTR += item.ctr;
    totalClicks += item.clicks;
    totalImpressions += item.impressions;
  });

  const averagePosition = totalPosition / data.length;
  const averageCTR = totalCTR / data.length;

  console.log("--- Overall Metrics ---");
  console.log("Average Position:", averagePosition.toFixed(2));
  console.log("Average CTR:", (averageCTR * 100).toFixed(2) + "%");
  console.log("Total Clicks:", totalClicks);
  console.log("Total Impressions:", totalImpressions);

  // 2. Find Top Performing Queries (based on clicks)
  const topQueries = [...data]
    .sort((a, b) => b.clicks - a.clicks)
    .slice(0, 5); // Get the top 5 queries

  console.log("\n--- Top Performing Queries (by clicks) ---");
  topQueries.forEach((query, index) => {
    console.log(
      `${index + 1}. Query: ${query.query}, Clicks: ${query.clicks}, Impressions: ${query.impressions}, CTR: ${(
        query.ctr * 100
      ).toFixed(2)}%, Position: ${query.position.toFixed(2)}`
    );
  });

  // 3. Identify Queries with Low CTR and High Impressions (Potential Optimization Targets)
  const optimizationOpportunities = data.filter(
    item => item.ctr < 0.10 && item.impressions > 800  // Example: CTR < 10% and Impressions > 800
  );

  console.log("\n--- Potential Optimization Opportunities (Low CTR, High Impressions) ---");
  if (optimizationOpportunities.length > 0) {
    optimizationOpportunities.forEach(query => {
      console.log(
        `Query: ${query.query}, Clicks: ${query.clicks}, Impressions: ${query.impressions}, CTR: ${(
          query.ctr * 100
        ).toFixed(2)}%, Position: ${query.position.toFixed(2)}`
      );
    });
  } else {
    console.log("No optimization opportunities found based on current criteria.");
  }

  //4. Analyze trends in CTR over time (simple example)
  //   (requires data with dates)
  console.log("\n--- CTR Trends (Simplified) ---");

  const uniqueDates = [...new Set(data.map(item => item.date))];
    if (uniqueDates.length > 1) {
        uniqueDates.forEach(date => {
            const dataForDate = data.filter(item => item.date === date);
            let dateTotalCTR = 0;
            dataForDate.forEach(item => {
                dateTotalCTR += item.ctr;
            });
            const dateAverageCTR = dateTotalCTR / dataForDate.length;
            console.log(`Date: ${date}, Average CTR: ${(dateAverageCTR * 100).toFixed(2)}%`);
        });
    } else {
      console.log("Not enough data with different dates for trend analysis.");
    }
}


// Run the analysis
analyzeSearchConsoleData(searchConsoleData);


// Additional SEO Tools/Functions (Illustrative)

/**
 *  1. Keyword Suggestion Tool (using hypothetical API)
 */
async function getKeywordSuggestions(seedKeyword) {
    console.log(`\n--- Keyword Suggestions for "${seedKeyword}" ---`);
    //Simulate an API call
    await new Promise(resolve => setTimeout(resolve, 500));  // Simulate network latency

    const suggestions = [
        `${seedKeyword} tutorial`,
        `best ${seedKeyword} practices`,
        `advanced ${seedKeyword} techniques`,
        `free ${seedKeyword} course`,
        `${seedKeyword} interview questions`
    ];

    suggestions.forEach(suggestion => {
        console.log(`- ${suggestion}`);
    });
}


/**
 * 2. Simple Schema Markup Generator (example for Article schema)
 */
function generateArticleSchema(title, description, author, imageUrl, datePublished) {
  const schema = {
    "@context": "https://schema.org",
    "@type": "Article",
    "headline": title,
    "description": description,
    "author": {
      "@type": "Person",
      "name": author
    },
    "image": [imageUrl],
    "datePublished": datePublished
  };

  return JSON.stringify(schema, null, 2);  // Pretty print the JSON
}

// Example usage of the schema generator
const articleSchema = generateArticleSchema(
  "Mastering JavaScript Closures",
  "A comprehensive guide to understanding and utilizing closures in JavaScript.",
  "Jane Doe",
  "https://example.com/images/javascript-closures.jpg",
  "2024-01-15"
);

console.log("\n--- Article Schema Markup ---");
console.log(articleSchema);


// Calling the Keyword suggestion tool (simulated)
getKeywordSuggestions("javascript");


/**
 * NOTES:
 *
 * 1.  This is a SIMULATED example.  Accessing the Google Search Console API requires proper
 *     authentication (e.g., OAuth 2.0) and error handling.  See the official Google documentation.
 *
 * 2.  The `searchConsoleData` is placeholder data. In a real application, you would replace this
 *     with the actual data retrieved from the API.
 *
 * 3.  Error handling is minimal in this example.  In a production environment, you should implement
 *     robust error handling to gracefully handle API errors, network issues, and invalid data.
 *
 * 4.  Rate Limiting:  The Google Search Console API has rate limits. You should implement appropriate
 *     retry logic and caching to avoid exceeding these limits.
 *
 * 5.  Security:  Protect API keys and other sensitive information.  Never hardcode API keys directly
 *     into your client-side JavaScript code.  Use environment variables or secure configuration files.
 */
```