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from $3.00 / 1,000 results

Hacker News Scraper — Search Stories & Comments

Search and retrieve Hacker News stories, comments, and user info via the free Algolia Search API. No API key required — filter by points, date, tags, and more.

Pricing

from $3.00 / 1,000 results

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Developer

Giovanni Bucci

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Monthly active users

3 days ago

Last modified

HN Scraper

Search and retrieve Hacker News stories, comments, and user data via the free Algolia Search API — no API key required.

Features

Search Stories — Full-text search across all HN stories. Filter by tags (story, show_hn, ask_hn, front_page), minimum points, and date range
Get Story — Fetch a single story with its full comment tree (nested threads preserved)
Get User — List all stories submitted by a specific HN user

Input

Field	Type	Default	Description
mode	select	`searchStories`	`searchStories`, `getStory`, `getUser`
query	string	—	Keyword for story search
storyId	int	—	Story ID for getStory mode
username	string	—	HN username for getUser mode
sort	select	`byDate`	`byDate` (newest) or `byRelevance`
tags	string	`story`	Comma-separated tags: story, comment, ask_hn, show_hn, poll, front_page
minPoints	int	0	Minimum points filter
limit	int	20	Max results (1–100)

Output

Each result is pushed as a JSON record to the Apify dataset.

searchStories / getUser — objectID, title, url, author, points, num_comments, created_at, story_text

getStory — type ("story" or "comment"), id, title/author, text, points, created_at, depth (for nested comments), parent_id, story_id

Use Cases

Track mentions of your product, brand, or technology
Find popular Show HN launches in your space
Monitor competitor discussions and sentiment
Build datasets for NLP or trend analysis
Research what's trending in tech

Automation & Integration

Schedule daily searches via Apify's built-in scheduler — track keywords over time
Connect to Make.com, Zapier, or n8n via Apify integrations
Export to Google Sheets, Slack, or Discord from the Apify dataset
Alert on mentions by combining scheduled runs with webhook outputs

Technical

Built with Python + httpx
Uses Algolia Search API at hn.algolia.com/api/v1
Comment trees are flattened with depth markers for easy analysis
The Algolia API is free, no authentication required

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