You can access the Website Markdown Crawler - Content & Change Tracking programmatically from your own 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 API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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    "startUrls": [
12        "https://docs.python.org/3/tutorial/"
13    ]
14};
15
16// Run the Actor and wait for it to finish
17const run = await client.actor("benthepythondev/website-markdown-crawler").call(input);
18
19// Fetch and print Actor results from the run's dataset (if any)
20console.log('Results from dataset');
21console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
22const { items } = await client.dataset(run.defaultDatasetId).listItems();
23items.forEach((item) => {
24    console.dir(item);
25});
26
27// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Website Markdown Crawler - Content & Change Tracking API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Website Markdown Crawler - Content & Change Tracking API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

$npm install apify-client

Other API clients include:

Website Markdown Crawler - Content & Change Tracking API in Python

Website Markdown Crawler - Content & Change Tracking API through CLI

Website Markdown Crawler - Content & Change Tracking OpenAPI definition

Website Markdown Crawler - Content & Change Tracking API

Website Content Crawler - Markdown, 45 Fields

parseforge/website-content-crawler

Crawls websites from start URLs with depth, domain and URL-pattern limits. 45 fields per page: Markdown and plain text, word count, title and meta tags, headings, Open Graph and JSON-LD, author and dates, emails, phones and social links, detected technologies, links and HTTP status. Ready for LLMs.

ParseForge

147

Deep Website Content Crawler

6sigmag/deep-website-content-crawler

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Website Content Crawler — Text, Markdown & AI Chunks

agency-shift/web-content-crawler

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Mako

🔥 FireScrape AI Website Content Markdown Scraper

mohamedgb00714/fireScraper-AI-Website-Content-Markdown-Scraper

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mohamed el hadi msaid

303

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(2)

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locomint/website-crawler-content-contacts

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Locomint

Website Content Crawler

crawlerbros/website-content-crawler

Crawls websites and extracts clean text, markdown, or HTML content. Ideal for LLM training data, RAG pipelines, and knowledge base building.

Crawler Bros

Website Content Crawler — Text, Titles & Metadata

hipersoft/website-content-crawler

Extract clean, readable content from any list of websites: page title, meta description, headings, main body text, word count and link/image counts. Optional same-domain crawl. Bulk-ready. Great for LLM/RAG ingestion, content audits and research.

hiper soft

Website Content Crawler

alizarin_refrigerator-owner/website-crawler

Crawl websites for SEO audits. Extracts HTML, title, meta tags, headings, links, & text content from pages. Automatic sitemap detection & parsing Extracts metadata (title, description, OG tags) Heading structure (H1, H2, H3) Internal & external link analysis Image extraction w/alt text Word count

The Howlers

144

Website URL Crawler

maximedupre/website-url-crawler

Crawl public websites and collect URLs from rendered navigation and sitemaps. Export a link map with source pages, depth, anchor text, HTTP facts, crawl status, and available sitemap metadata.

Maxime Dupré

Website Content Crawler

jasondev/website-content-crawler

A powerful web crawler that extracts text content from websites, optimized for AI models, Large Language Models (LLMs), vector databases, and Retrieval-Augmented Generation (RAG) pipelines.