DataFuel

DataFuel

Development

Turn websites into LLM-ready data

Visit API

πŸ“š Documentation & Examples

Everything you need to integrate with DataFuel

πŸš€ Quick Start Examples

DataFuel Javascript Examplejavascript
// DataFuel API Example
const response = await fetch('https://www.datafuel.dev?ref=publicapis', {
    method: 'GET',
    headers: {
        'Content-Type': 'application/json'
    }
});

const data = await response.json();
console.log(data);

Turn Websites into LLM-Ready Data

DataFuel's API empowers you to transform websites into structured, clean, and ready-to-use data for large language models (LLMs). By simplifying the process of extracting and preparing web data, you can unlock the full potential of your machine learning projects, content analysis, or AI-driven applications.

Whether you're working with massive datasets or need specific web content, DataFuel ensures seamless integration and high-quality results tailored to your needs. Save time and resources while ensuring your data is optimized for your LLM workflows.

Benefits of Using DataFuel API

  1. Effortless Data Extraction: Extract structured data from websites with minimal effort.
  2. LLM Optimization: Prepare data specifically for use with large language models.
  3. Customizable: Tailor the API to your specific data needs and formats.
  4. Scalable: Handle data from small-scale projects to enterprise-level requirements.
  5. Time-Saving: Automate repetitive tasks to focus on core objectives.

Example Code: Using DataFuel API in JavaScript

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

const apiKey = 'YOUR_API_KEY'; // Replace with your DataFuel API key
const apiUrl = 'https://www.datafuel.dev/api/extract';

const payload = {
  url: 'https://example.com', // URL of the website to extract data from
  options: {
    format: 'json', // Specify the desired data format
    modelReady: true // Prepare data for LLM use
  }
};

fetch(apiUrl, {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'Authorization': `Bearer ${apiKey}`
  },
  body: JSON.stringify(payload)
})
  .then(response => response.json())
  .then(data => console.log('Extracted Data:', data))
  .catch(error => console.error('Error:', error));

Start transforming websites into actionable LLM-ready data today with DataFuel.

πŸ”’

Security Assessment

F
πŸ”’HTTPS
Enabled
πŸ›‘οΈHeaders
25/100
HSTS
πŸ•’Last Assessed
1 weeks ago
ℹ️Click for detailed analysis

πŸ“Š 30-Day Uptime History

Daily uptime tracking showing online vs offline minutes

Jun 3Jun 5Jun 7Jun 9Jun 11Jun 13Jun 15Jun 17Jun 19Jun 21Jun 23Jun 25Jun 27Jun 29Jul 204008001440Minutes
Online
Offline

Related APIs in Development