# Hackernoon Scraper (`dadhalfdev/hackernoon-scraper`) Actor

Extract articles from HackerNoon across 22 different categories (AI, Web3, Business, Finance and many more). Discover high-quality tech stories from +45000 contributing writers. Pay-per-event actor.

- **URL**: https://apify.com/dadhalfdev/hackernoon-scraper.md
- **Developed by:** [Marco Rodrigues](https://apify.com/dadhalfdev) (community)
- **Categories:** AI, News, Other
- **Stats:** 3 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## ✍️ HackerNoon Scraper

Extract stories from **[HackerNoon](https://hackernoon.com/)** across 22 categories (AI, Web3, Business, Finance, Programming, and more). Discover tech writing from a large community of contributing authors.

Just **pick a category**, set how many posts you want (up to **300**), and export titles, full text, authors, tags, and engagement metrics as CSV or JSON.

### 💡 Perfect for…

- **Tech research & content teams:** Follow AI, startups, programming, and Web3 conversations.
- **Trend & engagement analysis:** Use views, comments, and tags across categories.
- **Newsletters & digests:** Pull structured stories with excerpts and TL;DRs.
- **📚 RAG & AI workflows:** Index `articleBody` and metadata with clear source links.

### ✨ Why you'll love this scraper

- 🎯 **22 categories:** From Top Stories and AI to Programming, Startups, Web3, and Writing.
- 📰 **Rich article data:** Title, excerpt, TL;DR, full body, tags, images, and dates.
- 👤 **Author profiles:** Display name, handle, avatar, bio, and trust/brand flags when available.
- 📊 **Engagement:** Comments count and page views when present.

### 🎯 Supported categories

- **Technology:** AI, Programming, Tech Companies, Tech Stories, Cybersecurity, Cloud, Data Science
- **Business:** Business, Finance, Startups, Management, Product Management
- **Lifestyle:** Life Hacking, Remote Work, Gaming, Writing
- **Science & innovation:** Science, Futurism, Web3
- **Community:** HackerNoon, Society, Media
- **Special:** Top Stories

### 📦 What's inside the data?

- **Article:** `id`, `title`, `slug`, `link`, `excerpt`, `tldr`, `articleBody`, `createdAt`, `parentCategory`, `tags`, `commentsCount`, `pageViews`, `arweave`
- **Media:** `mainImage`, `mainImageHeight`, `mainImageWidth`, `socialPreviewImage`
- **Author:** `author_name`, `author_handle`, `author_avatar`, `author_bio`, `author_isBrand`, `author_isTrusted`

### 🚀 Quick start

1. Choose a **`category`** (e.g. AI or Top Stories).
2. Set **`max_posts`** (50–300). For Top Stories, results may stop earlier (around 150).
3. Click **Start** and export JSON or CSV.

***

#### Example input

```json
{
  "category": "AI",
  "max_posts": 100
}
```

#### Example output

```json
{
  "id": "rxhvxiLNxsRwnMGivMFc",
  "title": "The Future of AI in Healthcare",
  "slug": "the-future-of-ai-in-healthcare",
  "link": "https://hackernoon.com/the-future-of-ai-in-healthcare",
  "excerpt": "Exploring how AI is revolutionizing medical diagnosis...",
  "tldr": "AI is transforming healthcare through improved diagnostics and personalized treatment.",
  "articleBody": "Full article content here...",
  "createdAt": "2023-09-30T21:36:56.367Z",
  "parentCategory": "ai",
  "tags": ["artificial-intelligence", "healthcare", "machine-learning"],
  "commentsCount": 15,
  "pageViews": 348080,
  "author_name": "Dr. Sarah Johnson",
  "author_handle": "sarahj_ai",
  "author_isTrusted": true
}
```

| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `category` | string | Yes | HackerNoon category (see list above). Default in schema: `AI`. |
| `max_posts` | integer | No | How many articles to collect. Min 50, max 300, default 200. Top Stories may return fewer. |

# Actor input Schema

## `category` (type: `string`):

Which HackerNoon category to scrape. Try AI or Top Stories for a quick start.

## `max_posts` (type: `integer`):

How many articles to collect. For Top Stories, results may stop earlier (around 150) because that feed is shorter.

## Actor input object example

```json
{
  "category": "AI",
  "max_posts": 200
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("dadhalfdev/hackernoon-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("dadhalfdev/hackernoon-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call dadhalfdev/hackernoon-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,dadhalfdev/hackernoon-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/zkqk0muexfCL7PHMX/builds/JwnHhWvNo347z98Ex/openapi.json