Hacker News Scraper — search, front page, comments & users
Pricing
from $1.50 / 1,000 results
Hacker News Scraper — search, front page, comments & users
Turn Hacker News into structured data: full-text search all of HN history, pull the live top/new/best/ask/show/job front pages, fetch a story with its full comment thread, or get user profiles. No login — uses HN's public Algolia + Firebase APIs.
Pricing
from $1.50 / 1,000 results
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Developer
Vincent Kirui
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
19 days ago
Last modified
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Turn Hacker News into clean, structured, agent-ready data — no login, no API keys. Built on HN's official public APIs (Algolia HN Search + the Firebase v0 API), so it's fast, reliable, and legal for public data. Four modes in one actor:
| Mode | What you get | Use it for |
|---|---|---|
| Search | Full-text search across all of HN history — filter by points, recency, tags | Brand / competitor / keyword monitoring, sentiment, market research |
| Front page list | The live top / new / best / ask / show / job stories | Trend tracking, daily digests, "what's hot in tech right now" |
| Item + comments | A story plus its entire comment thread, flattened | Deep discussion analysis, community sentiment, dataset building |
| Users | A user's profile, karma, and activity | Influencer / contributor research |
Why it's built for AI agents
Exposed as an MCP tool, this lets an agent answer "what is Hacker News saying about X?" in one call — search a topic, pull the discussion, read the comment thread. Structured JSON out, no scraping fragility.
Output
Clean, flat rows (CSV/Excel/JSON/API). Stories include title, url, points,
num_comments, author, created_at, text, and a direct hn_url. Comments include
text, author, story_id, parent_id. Users include karma, about, created_at.
Input examples
{ "mode": "search", "query": "your product", "minPoints": 50, "sinceDays": 30, "maxItems": 500 }
{ "mode": "list", "listType": "top", "maxItems": 100 }
{ "mode": "item", "itemIds": ["44444444"], "includeComments": true }
{ "mode": "user", "usernames": ["pg", "dang"] }
Use cases
- Tech-trend monitoring — track what topics, tools and startups reach the Hacker News front page over time.
- Brand & competitor mentions — search all of HN for your product name; get every thread and comment for sentiment analysis.
- Content research — find the highest-scoring posts on any topic to understand what the developer audience cares about.
- Datasets for NLP/LLM work — comment threads with scores and authors, ready for research.
- AI agents — as an MCP tool: "what does Hacker News think about {product}?" answered with live threads.
FAQ
How do I search Hacker News posts and comments programmatically? Give the actor a search query (it uses HN's public Algolia index) and it returns stories and, optionally, full comment trees as structured JSON.
Can I get the Hacker News front page as an API? Yes — front-page mode returns the current ranked front page; schedule it hourly to build a front-page history dataset.
Can I export HN threads to CSV for analysis? Every run's dataset exports as CSV, Excel or JSON from the Apify console or API.
How do I track mentions of my startup on HN? Schedule a search run for your brand name; new items land in the dataset each run and can trigger a webhook or Slack/Zapier notification.
Does it include comment scores and authors? Yes — items include author, points, timestamps, and comments include their full text and thread structure.
Legal
Uses Hacker News's public, documented APIs (Algolia + Firebase). No login, no cookies, no circumvention. You're responsible for using the data within applicable law.
Pricing
Pay-per-event: a small actor-start fee plus a per-item charge for each story / comment / user returned — you pay for exactly the data you pull.