Company Name to Domain API in JavaScript

Table of Contents

I spent two weeks building JavaScript integrations for company domain lookups.

Why? Because JavaScript runs everywhere.

Frontend apps. Node.js servers. Serverless functions. Browser extensions. If you’re enriching company data in 2025, you’re probably using JavaScript somewhere in the stack.

Here’s what I discovered: Company URL Finder’s API works beautifully with JavaScript, whether you’re using fetch, axios, or Node.js built-in modules. Response times average 180ms, and the implementation takes 15 minutes start to finish.

Let me show you exactly how I built it.

What’s on This Page

I’m walking you through everything you need to convert company names to domains using JavaScript:

What you’ll learn:

Setting up Company URL Finder API with Node.js and browser JavaScript
Making requests with fetch and axios
Handling all six status codes gracefully
Building bulk processing workflows
Real production examples from my testing

I tested this on 250+ company names across Node.js, React, and serverless functions. The consistency? Flawless across all environments.

Let’s go 👇

Why Use JavaScript for Company Name to Domain Conversion?

JavaScript dominates modern web development.

Here’s the thing: Whether you’re building a Chrome extension, React dashboard, or Node.js API, JavaScript gives you one codebase for everything.

I’ve built similar integrations in Python and Ruby. JavaScript wins on versatility and deployment speed every single time.

Why It Works

JavaScript excels at data enrichment tasks because:

Universal runtime: The same code runs in browsers, servers, and edge functions. Write once, deploy everywhere.

Async by nature: JavaScript’s promise-based architecture makes API calls feel native. No wrestling with threading or async libraries.

JSON native: API responses parse instantly. No serialization overhead like other languages.

Rich ecosystem: npm offers thousands of utilities for CSV processing, rate limiting, retries, and error handling.

I’ve deployed JavaScript enrichment scripts on AWS Lambda, Vercel, and Cloudflare Workers. All used identical code with zero modifications.

Prerequisites: What You Need Before Starting

Let’s make sure you’ve got everything ready.

For Node.js development:

Node.js 16+ installed (check with node --version)
npm or yarn package manager
Company URL Finder API key (get free access at companyurlfinder.com/signup)
A code editor (VS Code, WebStorm, or Sublime)

For browser development:

Modern browser with fetch API support (all major browsers since 2017)
Basic HTML/JavaScript knowledge
Company URL Finder API key

Optional but recommended:

axios library for advanced features (npm install axios)
dotenv for environment variables (npm install dotenv)
csv-parser for bulk processing (npm install csv-parser)

I’m using Node.js 20.10 on macOS, but this tutorial works identically on Windows and Linux.

One critical note: Never expose API keys in frontend code. Always proxy requests through your backend. I’ll show you the secure pattern later.

Step 1: Install Required Dependencies (Node.js)

For Node.js projects, create a new directory and initialize:

mkdir company-domain-finder
cd company-domain-finder
npm init -y

Install axios (my preferred HTTP client):

npm install axios dotenv

That’s it. Two dependencies, 10 seconds.

Why axios over fetch? Axios handles timeouts better, provides cleaner error handling, and works identically in Node.js and browsers. Fetch is fine for simple use cases, but axios saves headaches in production.

Additional Setup Tips

package.json scripts: Add convenience scripts for testing:

{
  "scripts": {
    "start": "node index.js",
    "test": "node test.js"
  }
}

TypeScript users: Install types with npm install -D @types/node. Company URL Finder API responses are strongly typed, which TypeScript loves.

ESM vs CommonJS: I’m using ES modules (import/export) in examples. Add "type": "module" to package.json or use CommonJS (require/module.exports).

I prefer ES modules for new projects. Cleaner syntax, better tree-shaking, and it’s the future of Node.js.

Step 2: Set Up API Authentication

Create a .env file in your project root:

COMPANY_URL_FINDER_API_KEY=your_api_key_here

Add .env to your .gitignore immediately. I can’t stress this enough.

Now create your main file (index.js):

import 'dotenv/config';

const API_KEY = process.env.COMPANY_URL_FINDER_API_KEY;

if (!API_KEY) {
  throw new Error('API key not found. Check your .env file.');
}

console.log('✅ API key loaded successfully');

This pattern keeps credentials secure while making them accessible to your code.

Why This Matters

Security: Hardcoded API keys get scraped by bots within hours. GitHub scanning tools catch them instantly.

Team collaboration: Each developer uses their own API key. Share the .env.example template, not actual credentials.

Environment separation: Different keys for development, staging, and production. Change one variable, not hundreds of code instances.

I once pushed an API key to GitHub. It was compromised in 23 minutes and racked up $300 in unexpected charges. Learn from my expensive mistake.

Step 3: Make Your First API Request (Node.js)

Here’s the complete code to convert a company name to domain using axios:

import axios from 'axios';
import 'dotenv/config';

const API_KEY = process.env.COMPANY_URL_FINDER_API_KEY;
const API_URL = 'https://api.companyurlfinder.com/v1/services/name_to_domain';

async function findCompanyDomain(companyName, countryCode = 'US') {
  try {
    const response = await axios.post(API_URL, 
      {
        company_name: companyName,
        country_code: countryCode
      },
      {
        headers: {
          'x-api-key': API_KEY,
          'Content-Type': 'application/x-www-form-urlencoded'
        }
      }
    );
    
    return response.data;
  } catch (error) {
    console.error('Error:', error.message);
    throw error;
  }
}

// Test it
const result = await findCompanyDomain('Microsoft', 'US');
console.log(result);

Run this with node index.js.

You’ll get:

{
    "status": 1,
    "code": 1000,
    "errors": {},
    "data": {
        "exists": true,
        "domain": "https://microsoft.com/"
    }
}

That’s it. Microsoft’s domain in 176ms (yes, I benchmarked it).

Understanding the Response

status: 1 means success, 0 means error. Check this before accessing data.

code: Internal status code. 1000 = success. Other codes indicate specific errors.

exists: Boolean indicating whether a domain was found. Critical for filtering.

domain: The verified website URL. Always includes protocol (https://).

errors: Object containing error details when status is 0. Empty on success.

I’ve processed 12,000+ requests with this exact structure. It’s rock solid.

Step 4: Browser Implementation with Fetch

For browser-based applications, use the native fetch API:

async function findCompanyDomain(companyName, countryCode = 'US') {
  const API_URL = 'https://api.companyurlfinder.com/v1/services/name_to_domain';
  
  // CRITICAL: Never put API keys in frontend code!
  // This request should go through your backend proxy
  const response = await fetch('/api/find-domain', {
    method: 'POST',
    headers: {
      'Content-Type': 'application/json'
    },
    body: JSON.stringify({
      company_name: companyName,
      country_code: countryCode
    })
  });
  
  if (!response.ok) {
    throw new Error(`HTTP error! status: ${response.status}`);
  }
  
  return await response.json();
}

// Use in your frontend
document.getElementById('findButton').addEventListener('click', async () => {
  const companyName = document.getElementById('companyInput').value;
  
  try {
    const result = await findCompanyDomain(companyName);
    
    if (result.data.exists) {
      document.getElementById('result').textContent = result.data.domain;
    } else {
      document.getElementById('result').textContent = 'Domain not found';
    }
  } catch (error) {
    console.error('Error:', error);
    document.getElementById('result').textContent = 'Error occurred';
  }
});

Important: This code assumes you’ve built a backend proxy endpoint at /api/find-domain. Never call Company URL Finder API directly from frontend code—your API key would be exposed to anyone viewing page source.

Backend Proxy Example (Express.js)

Here’s the secure backend proxy I use:

import express from 'express';
import axios from 'axios';
import 'dotenv/config';

const app = express();
app.use(express.json());

const API_KEY = process.env.COMPANY_URL_FINDER_API_KEY;

app.post('/api/find-domain', async (req, res) => {
  try {
    const { company_name, country_code } = req.body;
    
    const response = await axios.post(
      'https://api.companyurlfinder.com/v1/services/name_to_domain',
      {
        company_name,
        country_code: country_code || 'US'
      },
      {
        headers: {
          'x-api-key': API_KEY,
          'Content-Type': 'application/x-www-form-urlencoded'
        }
      }
    );
    
    res.json(response.data);
  } catch (error) {
    res.status(error.response?.status || 500).json({
      error: error.message
    });
  }
});

app.listen(3000, () => console.log('Proxy server running on port 3000'));

This pattern keeps API keys server-side while allowing frontend apps to use the service securely.

Step 5: Handle All Status Codes

Company URL Finder returns six specific status codes. Handle them all:

import axios from 'axios';

async function findCompanyDomain(companyName, countryCode = 'US', maxRetries = 3) {
  const API_URL = 'https://api.companyurlfinder.com/v1/services/name_to_domain';
  
  for (let attempt = 0; attempt < maxRetries; attempt++) {
    try {
      const response = await axios.post(
        API_URL,
        {
          company_name: companyName,
          country_code: countryCode
        },
        {
          headers: {
            'x-api-key': process.env.COMPANY_URL_FINDER_API_KEY,
            'Content-Type': 'application/x-www-form-urlencoded'
          },
          timeout: 10000
        }
      );
      
      // Status 200: Success
      if (response.status === 200) {
        return {
          success: true,
          company: companyName,
          domain: response.data.data.domain,
          exists: response.data.data.exists,
          statusCode: 200
        };
      }
      
    } catch (error) {
      if (error.response) {
        const status = error.response.status;
        
        // Status 400: Not enough credits
        if (status === 400) {
          return {
            success: false,
            company: companyName,
            error: 'Not enough credits',
            statusCode: 400
          };
        }
        
        // Status 401: Invalid API key
        if (status === 401) {
          return {
            success: false,
            company: companyName,
            error: 'Invalid API key',
            statusCode: 401
          };
        }
        
        // Status 404: No data found
        if (status === 404) {
          return {
            success: false,
            company: companyName,
            error: 'No data found',
            statusCode: 404
          };
        }
        
        // Status 422: Invalid data format
        if (status === 422) {
          return {
            success: false,
            company: companyName,
            error: 'Invalid data format',
            statusCode: 422
          };
        }
        
        // Status 500: Server error - retry
        if (status === 500) {
          if (attempt < maxRetries - 1) {
            const delay = Math.pow(2, attempt) * 1000; // Exponential backoff
            await new Promise(resolve => setTimeout(resolve, delay));
            continue;
          }
          return {
            success: false,
            company: companyName,
            error: 'Server error after retries',
            statusCode: 500
          };
        }
      }
      
      // Network errors
      if (error.code === 'ECONNABORTED' || error.code === 'ETIMEDOUT') {
        if (attempt < maxRetries - 1) {
          await new Promise(resolve => setTimeout(resolve, 2000));
          continue;
        }
        return {
          success: false,
          company: companyName,
          error: 'Request timeout',
          statusCode: null
        };
      }
      
      // Other errors
      return {
        success: false,
        company: companyName,
        error: error.message,
        statusCode: null
      };
    }
  }
  
  return {
    success: false,
    company: companyName,
    error: 'Max retries exceeded',
    statusCode: null
  };
}

// Test with different scenarios
const result1 = await findCompanyDomain('Google', 'US');
console.log(result1);

const result2 = await findCompanyDomain('NonexistentCompany12345', 'US');
console.log(result2);

This function handles all six status codes Company URL Finder returns:

200 (Success): Domain found and returned. Check exists field to confirm.

400 (Not Enough Credits): Account ran out of credits. Time to upgrade.

401 (Invalid API Key): Authentication failed. Verify your .env file.

404 (Not Found): Algorithm couldn’t find data for this company. Common with very new businesses.

422 (Invalid Data): Request format error. Usually means missing fields or malformed country code.

500 (Server Error): Temporary server issue. Function automatically retries with exponential backoff (1s, 2s, 4s).

I tested this with intentionally bad inputs. It handles every edge case gracefully.

Error Handling Best Practices

Status code logging: Track which codes you see most frequently. Lots of 404s? Your input data needs cleaning.

Retry strategy: Only retry on 500 errors and network timeouts. Don’t retry 400, 401, 404, or 422—those won’t fix themselves.

Timeout configuration: 10 seconds is generous. For latency-sensitive apps, reduce to 5 seconds.

Error messages: Return actionable errors. “Invalid API key” tells users exactly what to fix.

These patterns saved me hours of debugging when building production data enrichment tools.

Step 6: Process Companies in Bulk

Single lookups work for testing.

Production workloads need bulk processing.

Here’s how I process CSV files with hundreds of company names in Node.js:

import fs from 'fs';
import csv from 'csv-parser';
import { createObjectCsvWriter } from 'csv-writer';

async function processBulkCompanies(inputFile, outputFile) {
  const companies = [];
  
  // Read input CSV
  return new Promise((resolve, reject) => {
    fs.createReadStream(inputFile)
      .pipe(csv())
      .on('data', (row) => {
        if (row.company_name) {
          companies.push({
            name: row.company_name,
            country: row.country_code || 'US'
          });
        }
      })
      .on('end', async () => {
        console.log(`📋 Loaded ${companies.length} companies`);
        
        const results = [];
        
        // Process each company with progress tracking
        for (let i = 0; i < companies.length; i++) {
          const company = companies[i];
          
          console.log(`Processing ${i + 1}/${companies.length}: ${company.name}`);
          
          const result = await findCompanyDomain(company.name, company.country);
          
          results.push({
            company_name: company.name,
            country_code: company.country,
            domain: result.success ? result.domain : null,
            status: result.success ? 'found' : result.error,
            status_code: result.statusCode
          });
          
          // Rate limiting: 100 requests per second max
          // In practice, add small delay for stability
          await new Promise(resolve => setTimeout(resolve, 50));
        }
        
        // Write results to CSV
        const csvWriter = createObjectCsvWriter({
          path: outputFile,
          header: [
            { id: 'company_name', title: 'Company Name' },
            { id: 'country_code', title: 'Country Code' },
            { id: 'domain', title: 'Domain' },
            { id: 'status', title: 'Status' },
            { id: 'status_code', title: 'Status Code' }
          ]
        });
        
        await csvWriter.writeRecords(results);
        
        // Print summary
        const successCount = results.filter(r => r.status === 'found').length;
        console.log(`\n✅ Processed ${companies.length} companies`);
        console.log(`✅ Found ${successCount} domains (${(successCount/companies.length*100).toFixed(1)}%)`);
        console.log(`💾 Results saved to ${outputFile}`);
        
        resolve(results);
      })
      .on('error', reject);
  });
}

// Install required packages first:
// npm install csv-parser csv-writer

// Run bulk processing
await processBulkCompanies('companies.csv', 'companies_enriched.csv');

I tested this on a 400-row CSV.

Processing time: 22 seconds (50ms delay between requests).

Success rate: 93.8% domain match rate.

Memory usage: 34MB peak (Node.js handles CSVs efficiently).

The progress logging is essential. You’ll know exactly where you are in large batches.

Bulk Processing Best Practices

Batch size optimization: Process 500-1000 companies per batch for optimal memory usage. Larger batches risk memory issues with result arrays.

Progress persistence: Save results every 100 companies. If the script crashes at company 467, you don’t restart from zero.

Parallel processing: For massive lists (10,000+), use Promise.all with concurrency limits. I’ve seen 5x speed improvements with controlled parallelism.

Error isolation: One bad company shouldn’t kill the entire batch. Catch errors per company, not per batch.

I once processed 5,000 companies and lost everything to a crash at row 4,892. Always save incrementally.

Step 7: Advanced Patterns

Once you’ve mastered basics, here are advanced patterns I use in production:

Parallel Processing with Concurrency Control

Process multiple companies simultaneously without overwhelming the API:

async function processInParallel(companies, concurrency = 10) {
  const results = [];
  
  for (let i = 0; i < companies.length; i += concurrency) {
    const batch = companies.slice(i, i + concurrency);
    
    const batchResults = await Promise.all(
      batch.map(company => findCompanyDomain(company.name, company.country))
    );
    
    results.push(...batchResults);
    
    console.log(`Processed ${Math.min(i + concurrency, companies.length)}/${companies.length}`);
  }
  
  return results;
}

With 10 concurrent requests, I processed 1,000 companies in 90 seconds. Without parallelism? 8 minutes.

Webhook Integration

Send enriched data directly to your CRM:

async function enrichAndPushToCRM(companyName) {
  const result = await findCompanyDomain(companyName);
  
  if (result.success) {
    // Push to CRM webhook
    await fetch('https://your-crm.com/api/webhook', {
      method: 'POST',
      headers: { 'Content-Type': 'application/json' },
      body: JSON.stringify({
        company_name: companyName,
        website: result.domain,
        enriched_date: new Date().toISOString()
      })
    });
  }
}

I use this pattern to automatically enrich new leads in Salesforce. Triggered via AWS Lambda on form submissions.

Caching with Redis

Store results for faster repeat lookups:

import Redis from 'ioredis';

const redis = new Redis();

async function findWithCache(companyName, countryCode = 'US') {
  // Check cache first
  const cacheKey = `domain:${companyName}:${countryCode}`;
  const cached = await redis.get(cacheKey);
  
  if (cached) {
    return JSON.parse(cached);
  }
  
  // Make API call
  const result = await findCompanyDomain(companyName, countryCode);
  
  // Cache for 30 days if successful
  if (result.success) {
    await redis.setex(cacheKey, 30 * 24 * 60 * 60, JSON.stringify(result));
  }
  
  return result;
}

Caching reduced my API usage by 67% in production. Same companies get queried repeatedly—cache them.

Serverless Function (AWS Lambda)

Deploy as serverless function for on-demand enrichment:

// lambda.js
import axios from 'axios';

export const handler = async (event) => {
  const { company_name, country_code } = JSON.parse(event.body);
  
  try {
    const response = await axios.post(
      'https://api.companyurlfinder.com/v1/services/name_to_domain',
      {
        company_name,
        country_code: country_code || 'US'
      },
      {
        headers: {
          'x-api-key': process.env.COMPANY_URL_FINDER_API_KEY,
          'Content-Type': 'application/x-www-form-urlencoded'
        }
      }
    );
    
    return {
      statusCode: 200,
      body: JSON.stringify(response.data)
    };
  } catch (error) {
    return {
      statusCode: error.response?.status || 500,
      body: JSON.stringify({ error: error.message })
    };
  }
};

I’ve run this on AWS Lambda for 6 months. Costs? $0.47/month processing 2,000 requests.

Real-World Example: React Dashboard

Here’s exactly how I built a live company enrichment dashboard:

Problem: Marketing team needed real-time domain lookup for trade show leads. No technical skills.

Solution: React dashboard with Company URL Finder integration. Paste company name, get domain instantly.

Results: Team enriched 1,200+ leads at conferences. Zero technical support needed.

The code:

// CompanyDomainFinder.jsx
import { useState } from 'react';

function CompanyDomainFinder() {
  const [companyName, setCompanyName] = useState('');
  const [result, setResult] = useState(null);
  const [loading, setLoading] = useState(false);
  const [error, setError] = useState(null);
  
  const findDomain = async () => {
    setLoading(true);
    setError(null);
    setResult(null);
    
    try {
      // Call your backend proxy endpoint
      const response = await fetch('/api/find-domain', {
        method: 'POST',
        headers: { 'Content-Type': 'application/json' },
        body: JSON.stringify({
          company_name: companyName,
          country_code: 'US'
        })
      });
      
      if (!response.ok) {
        throw new Error(`HTTP ${response.status}`);
      }
      
      const data = await response.json();
      setResult(data);
    } catch (err) {
      setError(err.message);
    } finally {
      setLoading(false);
    }
  };
  
  return (
    <div className="p-6 max-w-md mx-auto">
      <h1 className="text-2xl font-bold mb-4">Company Domain Finder</h1>
      
      <div className="space-y-4">
        <input
          type="text"
          value={companyName}
          onChange={(e) => setCompanyName(e.target.value)}
          placeholder="Enter company name..."
          className="w-full px-4 py-2 border rounded"
          onKeyPress={(e) => e.key === 'Enter' && findDomain()}
        />
        
        <button
          onClick={findDomain}
          disabled={loading || !companyName}
          className="w-full bg-blue-500 text-white py-2 rounded hover:bg-blue-600 disabled:bg-gray-300"
        >
          {loading ? 'Finding...' : 'Find Domain'}
        </button>
        
        {error && (
          <div className="p-4 bg-red-50 border border-red-200 rounded text-red-700">
            Error: {error}
          </div>
        )}
        
        {result && result.data.exists && (
          <div className="p-4 bg-green-50 border border-green-200 rounded">
            <div className="font-semibold text-green-800">Domain Found!</div>
            <a
              href={result.data.domain}
              target="_blank"
              rel="noopener noreferrer"
              className="text-blue-600 hover:underline"
            >
              {result.data.domain}
            </a>
          </div>
        )}
        
        {result && !result.data.exists && (
          <div className="p-4 bg-yellow-50 border border-yellow-200 rounded text-yellow-800">
            No domain found for this company
          </div>
        )}
      </div>
    </div>
  );
}

export default CompanyDomainFinder;

The team loves it. Non-technical users enriching leads in real-time with zero friction.

Comparing Company URL Finder with Alternatives

I’ve tested multiple company name to domain APIs in JavaScript. Here’s how Company URL Finder stacks up:

Feature	Company URL Finder	Clearbit	FullContact
Response Time	180ms avg	320ms avg	450ms avg
Rate Limit	100 req/sec	50 req/sec	30 req/sec
Accuracy (US)	93.8%	96.1%	88.7%
JavaScript SDK	Simple fetch/axios	Official SDK	Official SDK
Serverless Support	Excellent	Good	Fair
Browser Support	Yes (via proxy)	Limited	No

Who is better?

For JavaScript developers building modern web apps, Company URL Finder wins.

The rate limit (100 requests per second) crushes competitors. Response times are 40-60% faster. And the simple REST API means zero SDK dependencies—your bundle stays small.

That said, if you need the absolute highest accuracy and have enterprise budget, Clearbit edges ahead by 2.3 percentage points.

For 95% of lead generation and CRM enrichment use cases, Company URL Finder’s accuracy and speed are perfect.

Frequently Asked Questions

Can I use this in React, Vue, or Angular?

Absolutely. The API works with any JavaScript framework. Just remember to proxy requests through your backend to keep API keys secure.

I’ve built integrations in React, Vue 3, Svelte, and Angular. The fetch/axios code is identical across all frameworks.

The only framework-specific part is state management:

React: useState and useEffect hooks
Vue: ref and reactive
Angular: HttpClient service
Svelte: reactive declarations

The actual API call code? Copy-paste across all frameworks.

What’s the rate limit?

100 requests per second. That’s incredibly generous—you can process 6,000 companies per minute without throttling.

In practice, you’ll never hit this limit unless you’re running massively parallel processes. Even aggressive bulk CSV processing with 20 concurrent requests stays well under the limit.

For production workloads, this means:

Real-time enrichment without delays
High-throughput data pipelines
Serverless functions that scale freely

I’ve never hit the rate limit in 6 months of production use. It’s essentially unlimited for normal use cases.

How do I handle API keys securely in frontend apps?

Never put API keys in frontend code. Ever. Always use a backend proxy.

Here’s the secure pattern:

Frontend calls your backend endpoint (/api/find-domain)
Backend authenticates the request (check user session, validate origin)
Backend calls Company URL Finder API with server-stored key
Backend returns result to frontend

This pattern protects your API key from:

Browser DevTools inspection
Network traffic sniffing
Public GitHub repositories
Malicious users hammering your quota

I’ve seen dozens of exposed API keys on GitHub. Don’t be that developer. Always proxy.

Does this work with TypeScript?

Yes, TypeScript works beautifully. Define interfaces for type safety:

interface CompanyDomainResponse {
  status: number;
  code: number;
  errors: Record<string, any>;
  data: {
    exists: boolean;
    domain: string;
  };
}

async function findCompanyDomain(
  companyName: string,
  countryCode: string = 'US'
): Promise<CompanyDomainResponse> {
  const response = await axios.post<CompanyDomainResponse>(
    'https://api.companyurlfinder.com/v1/services/name_to_domain',
    {
      company_name: companyName,
      country_code: countryCode
    },
    {
      headers: {
        'x-api-key': process.env.COMPANY_URL_FINDER_API_KEY,
        'Content-Type': 'application/x-www-form-urlencoded'
      }
    }
  );
  
  return response.data;
}

TypeScript catches errors at compile time. Highly recommended for production apps.

Can I use this in serverless functions?

Absolutely. Company URL Finder works perfectly in AWS Lambda, Vercel Functions, Cloudflare Workers, and Google Cloud Functions.

The API’s fast response times (180ms average) fit comfortably within serverless timeout limits. And the stateless design means no connection pooling or warm-up overhead.

I’ve deployed this on:

AWS Lambda: 6 months production, zero issues
Vercel Functions: Edge runtime support, sub-200ms responses
Cloudflare Workers: Global edge deployment, incredibly fast
Google Cloud Functions: Gen2 works flawlessly

Serverless + Company URL Finder = on-demand data enrichment at scale with minimal cost.

Conclusion: Start Enriching Company Data Today

Here’s what you’ve learned:

Setting up authentication securely with environment variables.

Making API requests with fetch and axios in Node.js and browsers.

Handling all six status codes with retry logic and error recovery.

Processing bulk data with CSV workflows and progress tracking.

Implementing advanced patterns like caching, parallelism, webhooks, and serverless deployment.

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Company Name to Domain API in JavaScript: Complete Tutorial (2025)