SharpAPI NodeJS Client SDK

🚀 Automate workflows with AI-powered API

Leverage AI API to streamline workflows in E-Commerce,Marketing, Content Management, HR Tech, Travel, and more.

SharpAPI.com Node.js SDK Client enables developers to integrate advanced artificial intelligence capabilities into their Node.js applications. This SDK simplifies interaction with the SharpAPI services, providing a seamless way to leverage AI for various use cases.

See more at SharpAPI.com Website »

Requirements

• Node.js >= 16.x

Installation

npm i @sharpapi/sharpapi-node-client

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Table of Contents

1. Installation
2. Configuration
3. Usage

• Initialization
• Available Methods

4. Examples
5. Testing
6. Contributing
7. License

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Installation

Prerequisites

• Node.js v14 or higher
• npm (Node Package Manager)

Install via npm

You can install the SharpAPI Node.js SDK Client using npm:

npm install @sharpapi/sharpapi-node-client

Install via Yarn

Alternatively, if you prefer using Yarn:

yarn add @sharpapi/sharpapi-node-client

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Configuration

Setting Up Environment Variables

To protect your credentials, it's recommended to use a .env file to store your SharpAPI API key. Follow these steps:

1. Create a .env File

   In the root directory of your project, create a file named .env:

   SHARP_API_KEY=your_actual_api_key_here
   

2. Install dotenv Package

   To load environment variables from the .env file, install the dotenv package:

   npm install dotenv

3. Load Environment Variables

   At the beginning of your application (e.g., in app.js or index.js), add the following line to load the environment variables:

   require('dotenv').config();

4. Ensure .env is Ignored

   Add .env to your .gitignore file to prevent sensitive information from being committed to version control:

   # .gitignore
   .env
   

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Usage

Check more Usage Examples for SharpAPI NodeJS SDK Client

Initialization

First, import and initialize the SharpApiService with your API key:

// Load environment variables
require('dotenv').config();

// Import the SharpApiService
const { SharpApiService } = require('@sharpapi/sharpapi-node-client');

// Initialize the SharpApiService
const apiKey = process.env.SHARP_API_KEY;
const sharpApi = new SharpApiService(apiKey);

Available Methods

The SharpApiService class provides various methods to interact with SharpAPI endpoints. Below is a list of available methods along with their descriptions:

1. ping()

• Description: Checks the availability of the API and retrieves the current timestamp.
• Usage:

  const pingResponse = await sharpApi.ping();
  console.log(pingResponse);

2. quota()

• Description: Retrieves details about your subscription's current quota and usage.
• Usage:

  const quotaInfo = await sharpApi.quota();
  console.log(quotaInfo);

3. parseResume(filePath, language)

• Description: Parses a resume file (PDF/DOC/DOCX/TXT/RTF) and extracts data points.
• Parameters:
  • filePath (string): Path to the resume file.
  • language (string, optional): Language of the resume (default: 'English').
• Usage:

  const statusUrl = await sharpApi.parseResume('path/to/resume.pdf', 'English');
  const resultJob = await sharpApi.fetchResults(statusUrl);
  console.log(resultJob.getResultJson());

4. generateJobDescription(jobDescriptionParameters)

• Description: Generates a job description based on provided parameters.
• Parameters:
  • jobDescriptionParameters (JobDescriptionParameters): Object containing job details.
• Usage:

  const { JobDescriptionParameters } = require('@sharpapi/sharpapi-node-client');
  
  const jobDescriptionParams = new JobDescriptionParameters(
    "Software Engineer",
    "Tech Corp",
    ["Develop applications", "Collaborate with teams"],
    ["Proficiency in JavaScript", "Experience with APIs"],
    "English",
    "Professional",
    null
  );
  
  const statusUrl = await sharpApi.generateJobDescription(jobDescriptionParams);
  const resultJob = await sharpApi.fetchResults(statusUrl);
  console.log(resultJob.getResultJson());

5. relatedSkills(skillName, language, maxQuantity)

• Description: Retrieves a list of skills related to the provided skill name.
• Parameters:
  • skillName (string): The skill to find related skills for.
  • language (string, optional): Language of the response (default: 'English').
  • maxQuantity (number, optional): Maximum number of related skills to retrieve.
• Usage:

  const statusUrl = await sharpApi.relatedSkills("JavaScript", "English", 5);
  const resultJob = await sharpApi.fetchResults(statusUrl);
  console.log(resultJob.getResultJson());

6. relatedJobPositions(jobPositionName, language, maxQuantity)

• Description: Retrieves a list of job positions related to the provided job position name.
• Parameters:
  • jobPositionName (string): The job position to find related positions for.
  • language (string, optional): Language of the response (default: 'English').
  • maxQuantity (number, optional): Maximum number of related job positions to retrieve.
• Usage:

  const statusUrl = await sharpApi.relatedJobPositions("Frontend Developer", "English", 5);
  const resultJob = await sharpApi.fetchResults(statusUrl);
  console.log(resultJob.getResultJson());

7. productReviewSentiment(review)

• Description: Analyzes the sentiment of a product review.
• Parameters:
  • review (string): The product review text.
• Usage:

  const statusUrl = await sharpApi.productReviewSentiment("This product is amazing!");
  const resultJob = await sharpApi.fetchResults(statusUrl);
  console.log(resultJob.getResultJson());

8. productCategories(productName, language, maxQuantity, voiceTone, context)

• Description: Generates suitable categories for a given product.
• Parameters:
  • productName (string): Name of the product.
  • language (string, optional): Language of the response (default: 'English').
  • maxQuantity (number, optional): Maximum number of categories to generate.
  • voiceTone (string, optional): Tone of the voice in the response (e.g., 'Neutral').
  • context (string, optional): Additional context for category generation.
• Usage:

  const statusUrl = await sharpApi.productCategories("Smartphone", "English", 5, "Neutral", null);
  const resultJob = await sharpApi.fetchResults(statusUrl);
  console.log(resultJob.getResultJson());

9. generateProductIntro(productData, language, maxLength, voiceTone)

• Description: Generates a marketing introduction for a product.
• Parameters:
  • productData (string): Detailed description of the product.
  • language (string, optional): Language of the response (default: 'English').
  • maxLength (number, optional): Maximum length of the introduction.
  • voiceTone (string, optional): Tone of the voice in the response (e.g., 'Friendly').
• Usage:

  const statusUrl = await sharpApi.generateProductIntro("This smartphone features...", "English", 100, "Friendly");
  const resultJob = await sharpApi.fetchResults(statusUrl);
  console.log(resultJob.getResultJson());

10. generateThankYouEmail(productName, language, maxLength, voiceTone, context)

• Description: Generates a personalized thank-you email for customers.
• Parameters:
  • productName (string): Name of the purchased product.
  • language (string, optional): Language of the email (default: 'English').
  • maxLength (number, optional): Maximum length of the email.
  • voiceTone (string, optional): Tone of the voice in the email (e.g., 'Professional').
  • context (string, optional): Additional context for the email generation.
• Usage:

  const statusUrl = await sharpApi.generateThankYouEmail("Smartphone", "English", 200, "Professional", null);
  const resultJob = await sharpApi.fetchResults(statusUrl);
  console.log(resultJob.getResultJson());

11. detectPhones(text)

• Description: Detects phone numbers within the provided text.
• Parameters:
  • text (string): The text to scan for phone numbers.
• Usage:

  const statusUrl = await sharpApi.detectPhones("Contact me at 123-555-7890.");
  const resultJob = await sharpApi.fetchResults(statusUrl);
  console.log(resultJob.getResultJson());

12. detectEmails(text)

• Description: Detects email addresses within the provided text.
• Parameters:
  • text (string): The text to scan for email addresses.
• Usage:

  const statusUrl = await sharpApi.detectEmails("Please email us at support@example.com.");
  const resultJob = await sharpApi.fetchResults(statusUrl);
  console.log(resultJob.getResultJson());

13. detectSpam(text)

• Description: Analyzes the provided text to determine if it contains spam content.
• Parameters:
  • text (string): The text to analyze for spam.
• Usage:

  const statusUrl = await sharpApi.detectSpam("Congratulations! You've won a free prize.");
  const resultJob = await sharpApi.fetchResults(statusUrl);
  console.log(resultJob.getResultJson());

14. summarizeText(text, language, maxLength, voiceTone, context)

• Description: Generates a summarized version of the provided text.
• Parameters:
  • text (string): The text to summarize.
  • language (string, optional): Language of the summary (default: 'English').
  • maxLength (number, optional): Maximum length of the summary.
  • voiceTone (string, optional): Tone of the voice in the summary (e.g., 'Neutral').
  • context (string, optional): Additional context for the summarization.
• Usage:

  const statusUrl = await sharpApi.summarizeText("Long article text...", "English", 50, "Neutral", null);
  const resultJob = await sharpApi.fetchResults(statusUrl);
  console.log(resultJob.getResultJson());

15. generateKeywords(text, language, maxQuantity, voiceTone, context)

• Description: Generates a list of keywords based on the provided content.
• Parameters:
  • text (string): The content to extract keywords from.
  • language (string, optional): Language of the keywords (default: 'English').
  • maxQuantity (number, optional): Maximum number of keywords to generate.
  • voiceTone (string, optional): Tone of the voice in the keywords (e.g., 'Neutral').
  • context (string, optional): Additional context for keyword generation.
• Usage:

  const statusUrl = await sharpApi.generateKeywords("Content for keyword extraction...", "English", 5, "Neutral", null);
  const resultJob = await sharpApi.fetchResults(statusUrl);
  console.log(resultJob.getResultJson());

16. translate(text, language, voiceTone, context)

• Description: Translates the provided text into the specified language.
• Parameters:
  • text (string): The text to translate.
  • language (string): The target language for translation (e.g., 'Spanish').
  • voiceTone (string, optional): Tone of the voice in the translation (e.g., 'Neutral').
  • context (string, optional): Additional context for translation.
• Usage:

  const statusUrl = await sharpApi.translate("Hello, world!", "Spanish", "Neutral", null);
  const resultJob = await sharpApi.fetchResults(statusUrl);
  console.log(resultJob.getResultJson());

17. paraphrase(text, language, maxLength, voiceTone, context)

• Description: Generates a paraphrased version of the provided text.
• Parameters:
  • text (string): The text to paraphrase.
  • language (string, optional): Language of the paraphrase (default: 'English').
  • maxLength (number, optional): Maximum length of the paraphrased text.
  • voiceTone (string, optional): Tone of the voice in the paraphrase (e.g., 'Neutral').
  • context (string, optional): Additional context for paraphrasing.
• Usage:

  const statusUrl = await sharpApi.paraphrase("Original text to paraphrase.", "English", 100, "Neutral", null);
  const resultJob = await sharpApi.fetchResults(statusUrl);
  console.log(resultJob.getResultJson());

18. proofread(text)

• Description: Proofreads the provided text, checking for grammar and spelling errors.
• Parameters:
  • text (string): The text to proofread.
• Usage:

  const statusUrl = await sharpApi.proofread("This is a txt with erors.");
  const resultJob = await sharpApi.fetchResults(statusUrl);
  console.log(resultJob.getResultJson());

19. generateSeoTags(text, language, voiceTone)

• Description: Generates META tags based on the provided content.
• Parameters:
  • text (string): The content to generate SEO tags from.
  • language (string, optional): Language of the SEO tags (default: 'English').
  • voiceTone (string, optional): Tone of the voice in the SEO tags (e.g., 'Neutral').
• Usage:

  const statusUrl = await sharpApi.generateSeoTags("Content for SEO tag generation.", "English", "Neutral");
  const resultJob = await sharpApi.fetchResults(statusUrl);
  console.log(resultJob.getResultJson());

20. travelReviewSentiment(text)

• Description: Analyzes the sentiment of a travel or hospitality product review.
• Parameters:
  • text (string): The travel review text.
• Usage:

  const statusUrl = await sharpApi.travelReviewSentiment("The trip was amazing!");
  const resultJob = await sharpApi.fetchResults(statusUrl);
  console.log(resultJob.getResultJson());

21. toursAndActivitiesProductCategories(productName, city, country, language, maxQuantity, voiceTone, context)

• Description: Generates suitable categories for Tours & Activities products.
• Parameters:
  • productName (string): Name of the product.
  • city (string, optional): City related to the product.
  • country (string, optional): Country related to the product.
  • language (string, optional): Language of the response (default: 'English').
  • maxQuantity (number, optional): Maximum number of categories to generate.
  • voiceTone (string, optional): Tone of the voice in the response (e.g., 'Neutral').
  • context (string, optional): Additional context for category generation.
• Usage:

  const statusUrl = await sharpApi.toursAndActivitiesProductCategories(
    "City Tour",
    "Paris",
    "France",
    "English",
    5,
    "Neutral",
    null
  );
  const resultJob = await sharpApi.fetchResults(statusUrl);
  console.log(resultJob.getResultJson());

22. hospitalityProductCategories(productName, city, country, language, maxQuantity, voiceTone, context)

• Description: Generates suitable categories for Hospitality products.
• Parameters:
  • productName (string): Name of the product.
  • city (string, optional): City related to the product.
  • country (string, optional): Country related to the product.
  • language (string, optional): Language of the response (default: 'English').
  • maxQuantity (number, optional): Maximum number of categories to generate.
  • voiceTone (string, optional): Tone of the voice in the response (e.g., 'Neutral').
  • context (string, optional): Additional context for category generation.
• Usage:

  const statusUrl = await sharpApi.hospitalityProductCategories(
    "Luxury Hotel",
    "New York",
    "USA",
    "English",
    5,
    "Neutral",
    null
  );
  const resultJob = await sharpApi.fetchResults(statusUrl);
  console.log(resultJob.getResultJson());

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API Documentation

For detailed usage and API methods, please refer to the SharpAPI.com Documentation.

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Changelog

Please see CHANGELOG for more information on what has changed recently.

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Contributing

Check CONTRIBUTION.md file for details.

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License

This project is licensed under the MIT License.

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Support

If you encounter any issues or have questions, feel free to open an issue on the GitHub repository or contact support at contact@sharpapi.com.

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Social Media

🚀 For the latest news, tutorials, and case studies, don't forget to follow us on:

• SharpAPI X (formerly Twitter)
• SharpAPI YouTube
• SharpAPI Vimeo
• SharpAPI LinkedIn
• SharpAPI Facebook

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Happy Coding with SharpAPI Node.js SDK Client!