Website Content to Markdown Scraper for LLM Training avatar

Website Content to Markdown Scraper for LLM Training

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Website Content to Markdown Scraper for LLM Training

Website Content to Markdown Scraper for LLM Training

easyapi/website-content-to-markdown-scraper-for-llm-training
Try for free

Pay $4.99 for 1,000 results

🚀 Transform web content into clean, LLM-ready Markdown! 📘 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! 🌐📝🧠

You can access the Website Content to Markdown Scraper for LLM Training programmatically from your own Python 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.

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {}
9
10# Run the Actor and wait for it to finish
11run = client.actor("easyapi/website-content-to-markdown-scraper-for-llm-training").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Website Content to Markdown Scraper for LLM Training API in Python

The Apify API client for Python is the official library that allows you to use Website Content to Markdown Scraper for LLM Training API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Community

Actor Metrics

  • 28 monthly users

  • 1 star

  • >99% runs succeeded

  • Created in Oct 2024

  • Modified 2 days ago