# Hacker News Search — $0.10/1K (`scrapesignal_labs/hacker-news-search-scraper`) Actor

Search Hacker News stories or comments by keyword, date, points, and tags. Export titles, links, authors, scores, comment counts, text, and discussion URLs.

- **URL**: https://apify.com/scrapesignal\_labs/hacker-news-search-scraper.md
- **Developed by:** [ScrapeSignal Labs](https://apify.com/scrapesignal_labs) (community)
- **Categories:** News, Developer tools, Marketing
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.10 / 1,000 hacker news results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Hacker News Search

Search Hacker News stories or comments through the public Algolia HN index. Built for startup intelligence, developer research, product monitoring, content discovery, lead signals, and AI-agent datasets.

Filter by popularity or recency, story/comment type, date range, and minimum points. Every row includes the query, HN object ID, title, external link, discussion link, author, score, comment count, timestamp, and cleaned story/comment text when available.

```json
{
  "queries": ["artificial intelligence"],
  "searchBy": "popularity",
  "itemType": "story",
  "minimumPoints": 10,
  "maxResultsPerQuery": 100
}
```

Use the Console, API, Python, JavaScript, CLI, schedules, webhooks, MCP, or an AI agent. Results come from the independent public Algolia HN index and may lag Hacker News briefly. Respect source terms and applicable law.

# Actor input Schema

## `queries` (type: `array`):

One phrase per line.

## `searchBy` (type: `string`):

Popularity ranks by relevance and engagement. Date returns newest first.

## `itemType` (type: `string`):

Return stories, comments, or both result types.

## `createdAfter` (type: `string`):

Optional ISO date or datetime.

## `createdBefore` (type: `string`):

Optional ISO date or datetime.

## `minimumPoints` (type: `integer`):

Exclude story results with fewer points.

## `maxResultsPerQuery` (type: `integer`):

Hard output and price ceiling per query.

## `maxConcurrency` (type: `integer`):

Number of search queries fetched in parallel.

## `timeoutSeconds` (type: `integer`):

Maximum seconds to wait for each Algolia request.

## Actor input object example

```json
{
  "queries": [
    "artificial intelligence"
  ],
  "searchBy": "popularity",
  "itemType": "story",
  "minimumPoints": 0,
  "maxResultsPerQuery": 100,
  "maxConcurrency": 4,
  "timeoutSeconds": 20
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

# 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("scrapesignal_labs/hacker-news-search-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("scrapesignal_labs/hacker-news-search-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 scrapesignal_labs/hacker-news-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapesignal_labs/hacker-news-search-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/IE2K02WEnMyu0FsfH/builds/L0ZIY8ztLOHoekvq8/openapi.json