Pricing

Pay per usage

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Hacker News Scraper

Try for free

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Rajat Sharda

Actor stats

Bookmarked

Total users

Monthly active users

12 hours ago

Last modified

Features

Top Stories Fetching: Extracts the top-ranked articles directly from HN's active front page.
Full Story Metadata: Captures titles, authors, scores, creation timestamps, discussion comment counts, and direct external destinations.
Fast & Lightweight: Leverages clean, official API structures for lightning-fast scraping times and 100% uptime.
Pay-Per-Event (PPE) Pricing: Charged strictly per article scraped, offering perfect scale-to-zero pricing.

Input Parameters

The Actor accepts the following input in JSON format:

Field	Type	Required	Default	Description
`max_items`	Integer	No	`10`	The maximum number of HN articles to scrape in a single run.

Example Input

{
  "max_items": 5
}

Output Schema

The scraped data is pushed directly to your default Apify dataset in JSON format with the following fields:

Field	Type	Description
`id`	Integer	The unique ID of the story item on Hacker News.
`title`	String	The headline/title of the article.
`by`	String	The Hacker News username of the submitter.
`score`	Integer	The current upvote score of the article.
`time`	Integer	Unix epoch timestamp of when the article was submitted.
`url`	String	Direct URL link of the story (or discussions page if text-only).
`descendants`	Integer	Total number of comments currently under the story.
`type`	String	Type of item (e.g. `story`).

Example Output

{
  "id": 48920192,
  "title": "Why I still use Vim in 2026",
  "by": "techguy23",
  "score": 452,
  "time": 1783185000,
  "url": "https://example.com/vim-2026",
  "descendants": 142,
  "type": "story"
}

Pricing Configuration

This Actor utilizes Apify's Pay-Per-Event (PPE) monetization model.

Primary Event: article-scraped
Cost: $0.003 per successfully scraped Hacker News article.
You only pay for what is successfully extracted and delivered to your dataset!

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