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@sharpapi/sharpapi-node-generate-keywords

v1.0.1

Published

SharpAPI.com Node.js SDK for generating keywords from text

Readme

SharpAPI GitHub cover

Keywords & Tags Generator API for Node.js

🏷️ Extract keywords and generate tags from text — powered by SharpAPI AI.

npm version License

SharpAPI Keywords & Tags Generator uses advanced AI to extract relevant keywords and generate tags from text content. Perfect for SEO, content categorization, and metadata generation.


📋 Table of Contents

  1. Requirements
  2. Installation
  3. Usage
  4. API Documentation
  5. Examples
  6. License

Requirements

  • Node.js >= 16.x
  • npm or yarn

Installation

Step 1. Install the package via npm:

npm install @sharpapi/sharpapi-node-generate-keywords

Step 2. Get your API key

Visit SharpAPI.com to get your API key.


Usage

const { SharpApiGenerateKeywordsService } = require('@sharpapi/sharpapi-node-generate-keywords');

const apiKey = process.env.SHARP_API_KEY; // Store your API key in environment variables
const service = new SharpApiGenerateKeywordsService(apiKey);

const text = `
Cloud computing has revolutionized how businesses operate by providing on-demand access
to computing resources. Companies can now scale their infrastructure automatically based
on demand, reducing costs and improving efficiency.
`;

async function generateKeywords() {
  try {
    // Submit keyword generation job
    const statusUrl = await service.generateKeywords(text);
    console.log('Job submitted. Status URL:', statusUrl);

    // Fetch results (polls automatically until complete)
    const result = await service.fetchResults(statusUrl);
    const keywords = result.getResultJson();

    console.log('Generated keywords:', keywords);
  } catch (error) {
    console.error('Error:', error.message);
  }
}

generateKeywords();

API Documentation

Methods

generateKeywords(text: string, maxKeywords?: number, language?: string): Promise<string>

Extracts keywords and generates tags from the provided text.

Parameters:

  • text (string, required): The text content to analyze
  • maxKeywords (number, optional): Maximum number of keywords to return (default: 10)
  • language (string, optional): The language of the text (default: 'English')

Returns:

  • Promise: Status URL for polling the job result

Example:

const statusUrl = await service.generateKeywords(articleText, 15, 'English');
const result = await service.fetchResults(statusUrl);

Response Format

The API returns extracted keywords with relevance scores:

{
  "keywords": [
    {
      "keyword": "cloud computing",
      "relevance": 0.95,
      "occurrences": 3
    },
    {
      "keyword": "on-demand access",
      "relevance": 0.88,
      "occurrences": 2
    },
    {
      "keyword": "computing resources",
      "relevance": 0.82,
      "occurrences": 2
    }
  ],
  "tags": [
    "cloud-computing",
    "infrastructure",
    "scalability",
    "business-technology"
  ]
}

Examples

Basic Keyword Extraction

const { SharpApiGenerateKeywordsService } = require('@sharpapi/sharpapi-node-generate-keywords');

const service = new SharpApiGenerateKeywordsService(process.env.SHARP_API_KEY);

const blogPost = `
Artificial intelligence is transforming healthcare through predictive analytics,
personalized treatment plans, and automated diagnostics. Machine learning algorithms
can now detect diseases earlier than traditional methods.
`;

service.generateKeywords(blogPost, 8)
  .then(statusUrl => service.fetchResults(statusUrl))
  .then(result => {
    const data = result.getResultJson();
    console.log('🔑 Top Keywords:');
    data.keywords.forEach((kw, index) => {
      console.log(`${index + 1}. ${kw.keyword} (relevance: ${kw.relevance})`);
    });
    console.log('\n🏷️ Suggested Tags:', data.tags.join(', '));
  })
  .catch(error => console.error('Generation failed:', error));

SEO Keyword Analysis

const service = new SharpApiGenerateKeywordsService(process.env.SHARP_API_KEY);

const productDescription = `
Professional noise-canceling wireless headphones with 40-hour battery life.
Features advanced Bluetooth 5.0 technology, premium sound quality, and
comfortable over-ear design. Perfect for travel, work, and entertainment.
`;

const statusUrl = await service.generateKeywords(productDescription, 12);
const result = await service.fetchResults(statusUrl);
const keywordData = result.getResultJson();

// Filter high-relevance keywords for SEO
const seoKeywords = keywordData.keywords
  .filter(kw => kw.relevance >= 0.8)
  .map(kw => kw.keyword);

console.log('High-value SEO keywords:', seoKeywords);

Content Categorization

const service = new SharpApiGenerateKeywordsService(process.env.SHARP_API_KEY);

const articles = [
  { id: 1, content: 'Article about web development...' },
  { id: 2, content: 'Article about digital marketing...' },
  { id: 3, content: 'Article about machine learning...' }
];

const categorized = await Promise.all(
  articles.map(async (article) => {
    const statusUrl = await service.generateKeywords(article.content, 5);
    const result = await service.fetchResults(statusUrl);
    const data = result.getResultJson();

    return {
      id: article.id,
      category: data.tags[0], // Primary category
      keywords: data.keywords.slice(0, 3).map(kw => kw.keyword),
      tags: data.tags
    };
  })
);

console.log('Categorized content:', categorized);

Use Cases

  • SEO Optimization: Generate keywords for meta tags and content optimization
  • Content Categorization: Auto-tag articles, products, and documents
  • Search Enhancement: Improve search functionality with extracted keywords
  • Metadata Generation: Automatically create metadata for CMS systems
  • Topic Modeling: Identify main topics and themes in text
  • Content Discovery: Enable better content recommendations
  • Analytics: Track keyword trends and content themes

Keyword Types

The generator identifies various keyword types:

  • Single Keywords: Individual important terms
  • Key Phrases: Multi-word expressions (2-4 words)
  • Named Entities: People, places, organizations
  • Technical Terms: Industry-specific terminology
  • Action Words: Verbs and action-oriented phrases
  • Topic Tags: High-level categorical tags

API Endpoint

POST /content/keywords

For detailed API specifications, refer to:


Related Packages


License

This project is licensed under the MIT License. See the LICENSE.md file for details.


Support


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