ProductsIntegrationsResourcesDocumentationPricing
Start Now

© 2026 CapSolver. All rights reserved.

CONTACT US

Slack: lola@capsolver.com

Products

  • reCAPTCHA v2
  • reCAPTCHA v3
  • Cloudflare Turnstile
  • Cloudflare Challenge
  • AWS WAF
  • Browser Extension
  • Many more CAPTCHA types

Integrations

  • Selenium
  • Playwright
  • Puppeteer
  • n8n
  • Partners
  • View All Integrations

Resources

  • Referral System
  • Documentation
  • API Reference
  • Blog
  • FAQs
  • Glossary
  • Status

Legal

  • Terms & Conditions
  • Privacy Policy
  • Refund Policy
  • Don't Sell My Info
Blog/All/How to Use node-fetch for Web Scraping
Sep30, 2024

How to Use node-fetch for Web Scraping

Lucas Mitchell

Lucas Mitchell

Automation Engineer

What is node-fetch?

node-fetch is a lightweight JavaScript library that brings the window.fetch API to Node.js. It is often used for making HTTP requests from a Node.js environment, providing a modern and flexible way to handle network operations asynchronously.

Features:

  • Promise-based: Uses JavaScript promises to manage asynchronous operations in a simple manner.
  • Node.js Support: Specifically designed for Node.js environments.
  • Stream Support: Supports streams, making it highly suitable for handling large data.
  • Small and Efficient: Minimalistic design, focusing on performance and compatibility with modern JavaScript features.

Prerequisites

Before using node-fetch, ensure you have:

  • Node.js installed.
  • npm or yarn to manage your packages.

Installation

To use node-fetch, you need to install it using npm or yarn:

bash Copy
npm install node-fetch

or

bash Copy
yarn add node-fetch

Basic Example: Making a GET Request

Here’s how to perform a simple GET request using node-fetch:

javascript Copy
const fetch = require('node-fetch');

fetch('https://httpbin.org/get')
  .then(response => response.json())
  .then(data => {
    console.log('Response Body:', data);
  })
  .catch(error => {
    console.error('Error:', error);
  });

Web Scraping Example: Fetching JSON Data from an API

Let’s fetch data from an API and log the results:

javascript Copy
const fetch = require('node-fetch');

fetch('https://jsonplaceholder.typicode.com/posts')
  .then(response => response.json())
  .then(posts => {
    posts.forEach(post => {
      console.log(`${post.title} — ${post.body}`);
    });
  })
  .catch(error => {
    console.error('Error:', error);
  });

Handling Captchas with CapSolver and node-fetch

In this section, we’ll integrate CapSolver with node-fetch to handle captchas. CapSolver provides APIs for solving captchas like ReCaptcha V3, enabling automation of tasks that require solving such captchas.

Example: Solving ReCaptcha V3 with CapSolver and node-fetch

First, install node-fetch and CapSolver:

bash Copy
npm install node-fetch
npm install capsolver

Now, here’s how to solve a ReCaptcha V3 and use the solution in your request:

javascript Copy
const fetch = require('node-fetch');
const CAPSOLVER_KEY = 'YourKey';
const PAGE_URL = 'https://antcpt.com/score_detector';
const PAGE_KEY = '6LcR_okUAAAAAPYrPe-HK_0RULO1aZM15ENyM-Mf';
const PAGE_ACTION = 'homepage';

async function createTask(url, key, pageAction) {
  try {
    const apiUrl = 'https://api.capsolver.com/createTask';
    const payload = {
      clientKey: CAPSOLVER_KEY,
      task: {
        type: 'ReCaptchaV3TaskProxyLess',
        websiteURL: url,
        websiteKey: key,
        pageAction: pageAction
      }
    };
    
    const response = await fetch(apiUrl, {
      method: 'POST',
      headers: { 'Content-Type': 'application/json' },
      body: JSON.stringify(payload)
    });
    
    const data = await response.json();
    return data.taskId;

  } catch (error) {
    console.error('Error creating CAPTCHA task:', error);
    throw error;
  }
}

async function getTaskResult(taskId) {
  try {
    const apiUrl = 'https://api.capsolver.com/getTaskResult';
    const payload = {
      clientKey: CAPSOLVER_KEY,
      taskId: taskId,
    };

    let result;
    do {
      const response = await fetch(apiUrl, {
        method: 'POST',
        headers: { 'Content-Type': 'application/json' },
        body: JSON.stringify(payload)
      });

      result = await response.json();
      if (result.status === 'ready') {
        return result.solution;
      }

      await new Promise(resolve => setTimeout(resolve, 5000)); // wait 5 seconds
    } while (true);

  } catch (error) {
    console.error('Error fetching CAPTCHA result:', error);
    throw error;
  }
}

async function main() {
  console.log('Creating CAPTCHA task...');
  const taskId = await createTask(PAGE_URL, PAGE_KEY, PAGE_ACTION);
  console.log(`Task ID: ${taskId}`);

  console.log('Retrieving CAPTCHA result...');
  const solution = await getTaskResult(taskId);
  const token = solution.gRecaptchaResponse;
  console.log(`Token Solution: ${token}`);

  const res = await fetch('https://antcpt.com/score_detector/verify.php', {
    method: 'POST',
    headers: { 'Content-Type': 'application/json' },
    body: JSON.stringify({ 'g-recaptcha-response': token })
  });

  const response = await res.json();
  console.log(`Score: ${response.score}`);
}

main().catch(err => {
  console.error(err);
});

Handling Proxies with node-fetch

To route your requests through a proxy with node-fetch, you will need a proxy agent like https-proxy-agent. Here's how to implement it:

bash Copy
npm install https-proxy-agent

Example with a proxy:

javascript Copy
const fetch = require('node-fetch');
const HttpsProxyAgent = require('https-proxy-agent');

const proxyAgent = new HttpsProxyAgent('http://username:password@proxyserver:8080');

fetch('https://httpbin.org/ip', { agent: proxyAgent })
  .then(response => response.json())
  .then(data => {
    console.log('Response Body:', data);
  })
  .catch(error => {
    console.error('Error:', error);
  });

Handling Cookies with node-fetch

For cookie handling in node-fetch, you can use a library like fetch-cookie. Here's how to use it:

bash Copy
npm install fetch-cookie

Example:

javascript Copy
const fetch = require('node-fetch');
const fetchCookie = require('fetch-cookie');
const cookieFetch = fetchCookie(fetch);

cookieFetch('https://httpbin.org/cookies/set?name=value')
  .then(response => response.json())
  .then(data => {
    console.log('Cookies:', data);
  })
  .catch(error => {
    console.error('Error:', error);
  });

Advanced Usage: Custom Headers and POST Requests

You can customize headers and perform POST requests with node-fetch:

javascript Copy
const fetch = require('node-fetch');

const headers = {
  'User-Agent': 'Mozilla/5.0 (compatible)',
  'Accept-Language': 'en-US,en;q=0.5',
};

const data = {
  username: 'testuser',
  password: 'testpass',
};

fetch('https://httpbin.org/post', {
  method: 'POST',
  headers: headers,
  body: JSON.stringify(data),
})
  .then(response => response.json())
  .then(data => {
    console.log('Response JSON:', data);
  })
  .catch(error => {
    console.error('Error:', error);
  });

Bonus Code

Claim your Bonus Code for top captcha solutions at CapSolver: scrape. After redeeming it, you will get an extra 5% bonus after each recharge, unlimited times.

Conclusion

With node-fetch, you can effectively manage HTTP requests in Node.js. By integrating it with CapSolver, you can solve captchas such as ReCaptcha V3 and captcha, providing access to restricted content. Additionally, node-fetch offers customization through headers, proxy support, and cookie management, making it a versatile tool for web scraping and automation.

More

AIMay 08, 2026

How AI Data Extraction Works: CAPTCHA Solving, LLM Parsing & Structured Web Data Pipelines

Learn how AI-powered data extraction works from web scraping and CAPTCHA solving to HTML cleaning, LLM parsing, and structured JSON generation. Explore anti-bot bypass strategies, semantic extraction frameworks like AXE, and scalable AI web scraping pipelines.

Lucas Mitchell
Lucas Mitchell
AIMay 06, 2026

How to Solve CAPTCHA in Browser Automation with Hermes Agent and CapSolver

Learn how to solve CAPTCHA in AI browser automation workflows using Hermes Agent and CapSolver. This guide explains how to integrate CapSolver to automatically handle reCAPTCHA, hCaptcha, and other modern CAPTCHA systems in automated browsing environments without writing complex code.

Contents

Ethan Collins
Ethan Collins
AIMay 07, 2026

Best AI Agent Frameworks for Web Automation and CAPTCHA Solving

Compare the best ai agent frameworks for web automation, CAPTCHA solving, compliance, and production-ready agent workflows in 2026.

Sora Fujimoto
Sora Fujimoto
Web ScrapingMay 07, 2026

Best Java Web Scraping Libraries for Reliable Data Extraction

Compare the best Java web scraping libraries, including jsoup, Selenium, Playwright for Java, HtmlUnit, Apache Nutch, and API options.

Rajinder Singh
Rajinder Singh