Social Media Analytics Tool JavaScript, API
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```javascript
/**
* A basic Social Media Analytics Tool using JavaScript and a hypothetical API.
*
* Note: This is a simplified example. A real-world tool would require
* a robust API, authentication, error handling, and more advanced data processing.
* Also, the API functions are placeholders, and would need to be replaced with
* actual API calls to a social media platform.
*/
class SocialMediaAnalyticsTool {
constructor(apiKey) {
this.apiKey = apiKey; // Replace with your API key
this.platform = null; // Set platform (e.g., 'Twitter', 'Facebook')
this.userId = null; // The user/profile we're analyzing
}
/**
* Sets the platform and authenticates with the API (placeholder).
* Replace with your actual authentication logic.
*
* @param {string} platformName The name of the social media platform (e.g., "Twitter")
* @param {string} userId The user or profile ID to analyze.
* @returns {Promise<boolean>} True if authentication is successful, false otherwise.
*/
async setPlatform(platformName, userId) {
this.platform = platformName;
this.userId = userId;
// Simulate authentication (replace with actual API call)
try {
const authResult = await this._authenticate(platformName, this.apiKey); // Hypothetical auth function
if (authResult.success) {
console.log(`Authenticated with ${platformName} as user ${userId}`);
return true;
} else {
console.error(`Authentication failed for ${platformName}: ${authResult.message}`);
return false;
}
} catch (error) {
console.error("Error during authentication:", error);
return false;
}
}
/**
* Hypothetical authentication function. REPLACE WITH REAL API AUTH!
* @param {string} platformName
* @param {string} apiKey
* @returns {Promise<{success: boolean, message?: string}>}
* @private
*/
async _authenticate(platformName, apiKey) {
return new Promise((resolve) => {
// Simulate an API call that takes 1 second
setTimeout(() => {
if (apiKey && apiKey.length > 0) { // Very basic API key check
resolve({ success: true });
} else {
resolve({ success: false, message: "Invalid API key" });
}
}, 1000); // Simulate API call time
});
}
/**
* Retrieves user profile data (placeholder API call).
* Replace with actual API endpoint.
*
* @returns {Promise<object|null>} User profile data, or null if an error occurs.
*/
async getUserProfile() {
if (!this.platform || !this.userId) {
console.error("Platform and user ID must be set before fetching profile data.");
return null;
}
try {
const profileData = await this._fetchUserProfile(this.platform, this.userId); // Hypothetical API call
console.log("User Profile:", profileData);
return profileData;
} catch (error) {
console.error("Error fetching user profile:", error);
return null;
}
}
/**
* Hypothetical API call for fetching user profile. REPLACE WITH REAL API CALL
* @param {string} platform
* @param {string} userId
* @returns {Promise<object>}
* @private
*/
async _fetchUserProfile(platform, userId) {
return new Promise((resolve, reject) => {
// Simulate an API call that takes 1.5 seconds
setTimeout(() => {
if (platform === 'Twitter') {
resolve({
username: `TwitterUser_${userId}`,
followers: Math.floor(Math.random() * 10000),
following: Math.floor(Math.random() * 5000),
bio: "A sample Twitter bio.",
posts: []
});
} else if (platform === 'Facebook') {
resolve({
name: `Facebook User ${userId}`,
friends: Math.floor(Math.random() * 2000),
likes: Math.floor(Math.random() * 1000),
about: "A sample Facebook 'about me'.",
posts: []
});
} else {
reject("Unsupported platform.");
}
}, 1500); // Simulate API call time
});
}
/**
* Retrieves recent posts (placeholder API call).
* Replace with actual API endpoint.
*
* @param {number} [count=10] The number of posts to retrieve.
* @returns {Promise<Array<object>|null>} An array of post objects, or null if an error occurs.
*/
async getRecentPosts(count = 10) {
if (!this.platform || !this.userId) {
console.error("Platform and user ID must be set before fetching posts.");
return null;
}
try {
const posts = await this._fetchRecentPosts(this.platform, this.userId, count); // Hypothetical API call
console.log("Recent Posts:", posts);
return posts;
} catch (error) {
console.error("Error fetching recent posts:", error);
return null;
}
}
/**
* Hypothetical API call for fetching recent posts. REPLACE WITH REAL API CALL
* @param {string} platform
* @param {string} userId
* @param {number} count
* @returns {Promise<Array<object>>}
* @private
*/
async _fetchRecentPosts(platform, userId, count) {
return new Promise((resolve, reject) => {
// Simulate an API call that takes 2 seconds
setTimeout(() => {
const posts = [];
for (let i = 0; i < count; i++) {
posts.push({
id: `post_${i}`,
text: `Sample post text ${i} from user ${userId} on ${platform}.`,
likes: Math.floor(Math.random() * 200),
retweets: platform === 'Twitter' ? Math.floor(Math.random() * 50) : undefined,
comments: Math.floor(Math.random() * 100),
timestamp: new Date(Date.now() - i * 60 * 60 * 1000).toISOString() // Generate some realistic timestamps
});
}
resolve(posts);
}, 2000); // Simulate API call time
});
}
/**
* Analyzes sentiment of a text. This is a very basic example.
* Replace with a more sophisticated NLP/sentiment analysis library.
*
* @param {string} text The text to analyze.
* @returns {string} "Positive", "Negative", or "Neutral".
*/
analyzeSentiment(text) {
// Very basic sentiment analysis (replace with a real NLP library)
const positiveKeywords = ["good", "great", "amazing", "love", "happy", "excellent"];
const negativeKeywords = ["bad", "terrible", "awful", "hate", "sad", "poor"];
let positiveCount = 0;
let negativeCount = 0;
const words = text.toLowerCase().split(/\s+/); // Split into words and lowercase
for (const word of words) {
if (positiveKeywords.includes(word)) {
positiveCount++;
}
if (negativeKeywords.includes(word)) {
negativeCount++;
}
}
if (positiveCount > negativeCount) {
return "Positive";
} else if (negativeCount > positiveCount) {
return "Negative";
} else {
return "Neutral";
}
}
/**
* Generates a simple report based on the data fetched.
*
* @returns {Promise<string>} A summary report.
*/
async generateReport() {
if (!this.platform || !this.userId) {
return "Platform and user ID must be set before generating a report.";
}
const profile = await this.getUserProfile();
const posts = await this.getRecentPosts(5);
if (!profile || !posts) {
return "Could not retrieve profile or posts. Report generation failed.";
}
let totalLikes = 0;
let sentimentScores = { Positive: 0, Negative: 0, Neutral: 0 };
for (const post of posts) {
totalLikes += post.likes;
const sentiment = this.analyzeSentiment(post.text);
sentimentScores[sentiment]++;
}
let report = `
Social Media Analytics Report for ${this.platform} user ${this.userId}:
Profile Information:
---------------------
`;
if (this.platform === 'Twitter') {
report += `Username: ${profile.username}\n`;
report += `Followers: ${profile.followers}\n`;
report += `Following: ${profile.following}\n`;
} else if (this.platform === 'Facebook') {
report += `Name: ${profile.name}\n`;
report += `Friends: ${profile.friends}\n`;
}
report +=`
Recent Posts Analysis:
----------------------
Total Likes on Recent Posts: ${totalLikes}
Sentiment Analysis:
- Positive: ${sentimentScores.Positive}
- Negative: ${sentimentScores.Negative}
- Neutral: ${sentimentScores.Neutral}
`;
return report;
}
}
// Example Usage (replace with your API key and user ID)
async function runExample() {
const apiKey = "YOUR_API_KEY"; // Replace with your actual API key
const userId = "12345";
const analyticsTool = new SocialMediaAnalyticsTool(apiKey);
const authSuccess = await analyticsTool.setPlatform("Twitter", userId); // Try Twitter first
if (!authSuccess) {
const fbAuthSuccess = await analyticsTool.setPlatform("Facebook", userId); // Try Facebook if Twitter fails.
if(!fbAuthSuccess){
console.error("Authentication failed for both Twitter and Facebook. Cannot continue.");
return;
}
}
const report = await analyticsTool.generateReport();
console.log(report);
}
runExample();
```
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