AI-Powered Web Content & Link Extractor
Pay $10.00 for 1,000 results
AI-Powered Web Content & Link Extractor
Pay $10.00 for 1,000 results
Crawls websites to extract clean, structured content for AI/LLM use, ideal for training datasets, knowledge bases, and RAG systems. Json output includes: * text: Normalized page content * links: Extracted sub-URLs
You can access the AI-Powered Web Content & Link Extractor programmatically from your own JavaScript applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6 token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11 "start_urls": [
12 {
13 "url": "https://en.wikipedia.org/wiki/Zero_(2018_film)",
14 "domain": "wikipedia.com"
15 }
16 ]
17};
18
19// Run the Actor and wait for it to finish
20const run = await client.actor("scrapercoder/ai-powered-web-content-link-extractor").call(input);
21
22// Fetch and print Actor results from the run's dataset (if any)
23console.log('Results from dataset');
24console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
25const { items } = await client.dataset(run.defaultDatasetId).listItems();
26items.forEach((item) => {
27 console.dir(item);
28});
29
30// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docsAI-Powered Web Content & Link Extractor API in JavaScript
The Apify API client for JavaScript is the official library that allows you to use AI-Powered Web Content & Link Extractor API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.
Install the apify-client
npm install apify-clientOther API clients include:
wallnut.aiActor Metrics
10 monthly users
-
2 bookmarks
>99% runs succeeded
Created in Feb 2025
Modified 14 days ago
