HN Stories + Comment Trees for LLM Datasets

Created by

Omar Eldeeb

Actor

Hacker News Scraper

Export Hacker News stories with full nested comment trees — clean structured discussions for RAG, training, and AI data pipelines.

Try for free

Hacker News Scraperconstructive_calm/hacker-news-scraper

Title

Author

Points

+3 fields

Input

Scraping mode(required):topstories

Max items:5

Include comments:true

Max comment depth:3

Output fields

Title

Author

Points

Comment count

HN thread

Comments

How it works

Sign up on Apify or log in

The Hacker News Scraper Actor is ready to run with the inputs already set for "HN Stories + Comment Trees for LLM Datasets". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "HN Stories + Comment Trees for LLM Datasets" task

The Hacker News Scraper Actor will start running based on the input automatically. You can also change all the input fields, like scraping mode, max items, and more, to match your specific use case.

Receive the "HN Stories + Comment Trees for LLM Datasets" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as ID, title, author, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "HN Stories + Comment Trees for LLM Datasets" task via API.