npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2026 – Pkg Stats / Ryan Hefner

@sharpapi/sharpapi-node-detect-address

v1.0.2

Published

SharpAPI.com Node.js SDK for detecting addresses in text

Readme

SharpAPI GitHub cover

Address Detector API for Node.js

Detect and extract physical addresses from text -- powered by SharpAPI AI.

npm version License

SharpAPI Address Detector parses text content and extracts any physical addresses found within. Returns structured address components including street, city, postal code, state, country, and ISO country code. Perfect for data validation, content moderation, and location extraction from unstructured text.


Table of Contents

  1. Requirements
  2. Installation
  3. Usage
  4. API Documentation
  5. Response Format
  6. Examples
  7. Use Cases
  8. License

Requirements

  • Node.js >= 16.x
  • npm or yarn

Installation

Step 1. Install the package via npm:

npm install @sharpapi/sharpapi-node-detect-address

Step 2. Get your API key

Visit SharpAPI.com to get your API key.


Usage

const { SharpApiDetectAddressService } = require('@sharpapi/sharpapi-node-detect-address');

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

const text = 'Please send the package to John Smith at 1600 Pennsylvania Avenue NW, Washington, DC 20500, United States.';

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

    // Fetch results (polls automatically until complete)
    const result = await service.fetchResults(statusUrl);
    console.log('Result:', result.getResultJson());
  } catch (error) {
    console.error('Error:', error.message);
  }
}

extractAddresses();

API Documentation

Methods

detectAddress(text)

Parses the provided text for any physical addresses and returns structured address components.

Parameters:

  • text (string, required): The text content to scan for addresses

Returns: Promise - Status URL for polling results


Use Cases

  • Data Validation: Extract and validate addresses from user-submitted forms
  • Content Moderation: Detect addresses in user-generated content where they shouldn't be shared
  • Location Extraction: Parse unstructured text to extract location information
  • Document Processing: Extract addresses from scanned documents or PDFs (after OCR)
  • Lead Generation: Extract business addresses from web content or emails
  • Privacy Compliance: Identify and flag PII (addresses) in public-facing content
  • CRM Enrichment: Auto-populate address fields from free-text customer communications

License

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


Support