Hacker News Scraper - Stories, Comments & AI Digest

Scrape Hacker News at $0.001/item. Top stories, full-text search, Ask HN, Show HN, job posts, and user profiles via the official Algolia HN Search API and Firebase HN API. Zero anti-bot, no account or API key required. AI topic digest (themes, trends, hot topics, TLDR) via 5-provider LLM router. pay-per-result - no cookies - no rental tax.

Built for: developer-relations teams, VC scouts, technical founders, AI agent builders, content writers, and researchers. Pairs with harvestlab/github-trending-scraper for a complete "developer intelligence" pipeline.

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What this does

Hacker News is the highest-signal feed for early-stage tech, AI launches, and indie-dev culture. This actor exposes six scraping modes through two official, freely available APIs:

• Algolia HN Search API (hn.algolia.com/api/v1) for full-text search and user profiles - no API key, paginated to any depth.
• Firebase HN API (hacker-news.firebaseio.com/v0) for live feeds (top, ask, show, jobs) - the same backend the official HN site uses.

Every item is normalized to a portfolio-standard shape: id, title, url, text, author, points, commentCount, type, createdAt, hackerNewsUrl. The optional AI analysis step summarizes the batch using your choice of 5 LLM providers.

Modes

Mode	API used	What you get
top	Firebase	Today's front-page top stories
search	Algolia	Full-text search results (stories, comments, Ask HN, etc.)
ask	Firebase	Ask HN posts
show	Firebase	Show HN posts
jobs	Firebase	Job posts (Who's Hiring threads)
user	Algolia	User profile + recent submissions

Why this beats the alternatives

Approach	Cost	Search	AI digest	Live feeds
harvestlab/hacker-news-scraper	$0.001/item	Yes (Algolia)	Yes (5 LLMs)	Yes (Firebase)
HN Algolia API direct	$0	Yes	No	No
HN RSS feeds	$0	No	No	Limited
Third-party HN services	$5-29/mo	Limited	No	Limited
Custom Firebase + Algolia DIY	Engineering cost	DIY	DIY	DIY

The wedge: search + live feeds + AI analysis in one pay-per-event actor. The Algolia API gives you full-text search and user profiles; Firebase gives you real-time feed data with full score/comment counts. Add enableAiAnalysis=true for a structured AI digest covering themes, trends, hot topics, and a newsletter-ready TLDR.

Use cases

1. Developer-relations teams - monitor show feed for competitor launches and early adopters.
2. VC scouts - search for specific technology keywords + AI digest = pre-seed deal flow before the post hits 100 points.
3. Indie founders - track top + ask for validation signals and competitive intel.
4. Content writers / Substackers - auto-curated story shortlist for "this week in AI/dev" newsletters.
5. AI agent builders - feed top-10 items + AI analysis into a research agent for trend detection.
6. Recruiters - jobs mode to find startups actively hiring in your tech stack.
7. Product managers - competitive intelligence on AI tools shipping in your category.
8. Researchers / academics - longitudinal study of HN content trends with reproducible queries.

Inputs

Field	Type	Default	Notes
mode	enum	top	One of: top, search, ask, show, jobs, user
searchQuery	string	-	Required when mode=search. Aliases: q, query
username	string	-	Required when mode=user. Alias: user
searchTags	string	story	Algolia tags filter for search mode (e.g., comment, ask_hn)
maxItems	integer	30	Items to fetch (1-500)
minPoints	integer	0	Skip stories below this score (feed modes only)
enableAiAnalysis	boolean	false	AI digest (themes, trends, TLDR). Adds ~$0.05/run
llmProvider	enum	openrouter	AI provider: openrouter / anthropic / google / openai / ollama
llmModel	string	-	Model override (uses provider default if blank)
openrouterApiKey	string	-	OpenRouter key (or OPENROUTER_API_KEY env var)
anthropicApiKey	string	-	Anthropic key (or ANTHROPIC_API_KEY env var)
googleApiKey	string	-	Google AI key (or GOOGLE_API_KEY env var)
openaiApiKey	string	-	OpenAI key (or OPENAI_API_KEY env var)
ollamaBaseUrl	string	http://localhost:11434	Self-hosted Ollama URL

Input aliases

To reduce friction for programmatic use, several fields accept shorter aliases:

• q or query -> searchQuery
• user -> username
• feed -> mode

Alias resolution order (lesson #19): alias is checked before canonical, so q=rust overrides a schema default on searchQuery.

Outputs

Standard item (all modes except user)

{
  "id": "39481275",
  "title": "Show HN: My open-source HN scraper",
  "url": "https://github.com/example/hn-scraper",
  "text": null,
  "author": "alice",
  "points": 142,
  "commentCount": 38,
  "type": "story",
  "createdAt": "2024-04-27T09:00:00+00:00",
  "hackerNewsUrl": "https://news.ycombinator.com/item?id=39481275"
}

User item (mode=user)

{
  "id": "pg",
  "title": "User: pg",
  "url": "https://news.ycombinator.com/user?id=pg",
  "text": "Lisp hacker. Co-founder of YC.",
  "author": "pg",
  "points": 155000,
  "commentCount": 0,
  "type": "user",
  "createdAt": "2006-10-09T00:00:00+00:00",
  "hackerNewsUrl": "https://news.ycombinator.com/user?id=pg",
  "submissions": [
    {
      "id": "39481275",
      "title": "...",
      "url": "...",
      "points": 142,
      "commentCount": 38,
      "createdAt": "2024-04-27T09:00:00+00:00"
    }
  ]
}

AI analysis item (appended when enableAiAnalysis=true)

{
  "report_type": "ai_analysis",
  "analysis": {
    "top_themes": [
      {"label": "AI/LLM tooling", "description": "Multiple new open-source LLM inference projects launched."}
    ],
    "notable_stories": [
      {"title": "...", "points": 420, "comments": 120, "domain": "github.com", "why_it_matters": "..."}
    ],
    "tech_trends": [
      {"name": "Rust", "context": "Three high-upvote stories about Rust systems projects."}
    ],
    "community_mood": {"tone": "excited", "explanation": "Several major AI launches drove high engagement."},
    "hot_topics": [
      {"title": "...", "note": "High comment-to-points ratio indicates controversy."}
    ],
    "tldr": "Today's HN front page was dominated by AI infrastructure launches and Rust systems projects, with an undercurrent of privacy skepticism in the comments."
  }
}

Pricing

Event	Price	When
item-scraped	$0.001	Per item successfully scraped (story, user, comment, etc.)
ai-analysis-completed	$0.05	Per AI analysis digest (once per run)

Typical run costs:

• 30 top stories, no AI: $0.03
• 30 top stories + AI digest: $0.08
• 100 search results: $0.10
• 500 top stories + AI: $0.55
• Daily watch (top 30 + AI digest): ~$2.40/month

vs. commercial alternatives: NewsAPI charges $449+/month for commercial use. This actor is pay-per-event with zero subscription fees.

AI Analysis (5 providers)

When enableAiAnalysis=true, the actor sends the scraped items to your chosen LLM and returns a structured digest with:

• top_themes - 3-6 dominant technology or industry themes
• notable_stories - top 5 by combined points + comments signal
• tech_trends - specific technologies, frameworks, or companies appearing prominently
• community_mood - overall tone (excited/skeptical/mixed/critical/optimistic)
• hot_topics - stories with high comment-to-points ratio (controversy signals)
• tldr - 2-3 sentence morning-briefing summary

Provider	Default model	API key env var	Input field
OpenRouter (recommended)	google/gemini-2.0-flash-001	OPENROUTER_API_KEY	openrouterApiKey
Anthropic	claude-sonnet-4-20250514	ANTHROPIC_API_KEY	anthropicApiKey
Google AI	gemini-2.0-flash	GOOGLE_API_KEY	googleApiKey
OpenAI	gpt-4o-mini	OPENAI_API_KEY	openaiApiKey
Ollama (self-hosted)	llama3.1	-	ollamaBaseUrl

Code examples

Python - search for AI stories

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run = client.actor("harvestlab/hacker-news-scraper").call(run_input={
    "mode": "search",
    "searchQuery": "large language models",
    "searchTags": "story",
    "maxItems": 50,
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["title"], item["points"], item["url"])

Python - top stories with AI digest

run = client.actor("harvestlab/hacker-news-scraper").call(run_input={
    "mode": "top",
    "maxItems": 30,
    "enableAiAnalysis": True,
    "llmProvider": "openrouter",
    "openrouterApiKey": "sk-or-...",
})
items = list(client.dataset(run["defaultDatasetId"]).iterate_items())
stories = [i for i in items if i.get("type") != "ai_analysis"]
digest = next((i for i in items if i.get("report_type") == "ai_analysis"), None)
print(digest["analysis"]["tldr"] if digest else "No digest")

LangChain tool integration

from langchain.tools import Tool
from apify_client import ApifyClient

apify = ApifyClient("YOUR_APIFY_TOKEN")

def search_hacker_news(query: str) -> list:
    run = apify.actor("harvestlab/hacker-news-scraper").call(run_input={
        "mode": "search",
        "q": query,
        "maxItems": 20,
    })
    return list(apify.dataset(run["defaultDatasetId"]).iterate_items())

hn_search_tool = Tool(
    name="search_hacker_news",
    description="Search Hacker News for stories, comments, and discussions about any topic.",
    func=search_hacker_news,
)
# agent.invoke({"input": "What are people saying about Rust on HN?"})

n8n / Zapier workflow

Configure a scheduled trigger calling this actor with mode=top, maxItems=30, enableAiAnalysis=true. The tldr field from the AI analysis item is ready to paste directly into a Slack message or email digest.

Scheduling for daily watch

1. Set mode: "top" + enableAiAnalysis: true + preferred LLM provider.
2. Schedule via Apify Scheduler (hourly or daily).
3. Estimated monthly cost at daily cadence: ~$2.40/month for top 30 + AI digest.
4. Estimated monthly cost at hourly cadence: ~$57/month for top 30 + AI digest every hour.

Pair with other harvestlab actors

• harvestlab/github-trending-scraper - pair HN's "what's launched today" with GitHub's "what's accelerating in stars" for complete developer intelligence.
• harvestlab/news-monitor - combine HN front page with Google News for cross-source coverage of AI launches.
• harvestlab/google-search-scraper - when an HN story hits #1, scrape the SERP for backlinks and downstream coverage.
• harvestlab/contact-extractor - feed each new Show HN URL into the contact extractor to build a founder lead list.

Legal and compliance

The Hacker News Firebase API is public, documented, and maintained by Y Combinator (https://github.com/HackerNews/API). The Algolia HN Search API is officially provided by Algolia under agreement with YC (https://hn.algolia.com/api). Both are intended for third-party use with no terms of service restrictions on read access.

Users are responsible for:

• Respecting rate norms: avoid aggressive concurrent fetching beyond maxItems=500 per run.
• GDPR / CCPA compliance when storing usernames, karma, or comment text (HN user data is public but may constitute PII under some jurisdictions).
• Attribution when redistributing data: link back to https://news.ycombinator.com/item?id=<id> per fair-use norms.
• Not using the data for spam, harassment, or other violations of YC/HN community guidelines.

This actor does not scrape authenticated routes, bypass any security measures, or violate any robots.txt directives.

Contact

Built by harvestlab - 25+ monetized Apify Actors covering EU/US e-commerce, B2B intelligence, jobs, government procurement, social, and developer tools. Bug reports and feature requests via the Apify Store issue tracker on this actor's listing page.