Website Content to Markdown Scraper for LLM Training
Pay $4.99 for 1,000 results
Website Content to Markdown Scraper for LLM Training
Pay $4.99 for 1,000 results
π Transform web content into clean, LLM-ready Markdown! π Scrape multiple pages, extract main content, and convert to Markdown format. Perfect for AI researchers, data scientists, and LLM developers. Fast, efficient, and customizable. Supercharge your AI training data today! πππ§
You can access the Website Content to Markdown Scraper for LLM Training programmatically from your own JavaScript applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youβll need an Apify account and your API token, found in Integrations settings in Apify Console.
1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6 token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {};
11
12// Run the Actor and wait for it to finish
13const run = await client.actor("easyapi/website-content-to-markdown-scraper-for-llm-training").call(input);
14
15// Fetch and print Actor results from the run's dataset (if any)
16console.log('Results from dataset');
17console.log(`πΎ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
18const { items } = await client.dataset(run.defaultDatasetId).listItems();
19items.forEach((item) => {
20 console.dir(item);
21});
22
23// π Want to learn more π? Go to β https://docs.apify.com/api/client/js/docsWebsite Content to Markdown Scraper for LLM Training API in JavaScript
The Apify API client for JavaScript is the official library that allows you to use Website Content to Markdown Scraper for LLM Training API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.
Install the apify-client
npm install apify-clientOther API clients include:
EasyApi- 17 monthly users
- 0 stars
- 100.0% runs succeeded
- Created in Oct 2024
- Modified 16 days ago
