# Hacker News Who is hiring? September 2026 job posts

**Use case:** 

The Hacker News Ask HN: Who is hiring? (September 2026) thread followed by up to 100 of its top-level comments in HN's ranked order, where each top-level comment is a job post: post text, author, date and HN link, with the thread's points and comment count.

## Input

```json
{
  "mode": "search",
  "query": "Ask HN: Who is hiring? (September 2026)",
  "tags": [
    "ask_hn"
  ],
  "search_sort": "relevance",
  "date_from": "2026-09-01",
  "date_to": "2026-09-30",
  "include_comments": true,
  "comments_per_story": 100,
  "max_records": 101,
  "request_interval_ms": 100,
  "contact_email": "info@steelyardclinical.com"
}
```

## Output

```json
{
  "rank": {
    "label": "Rank",
    "format": "number"
  },
  "type": {
    "label": "Type",
    "format": "text"
  },
  "id": {
    "label": "HN id",
    "format": "number"
  },
  "title": {
    "label": "Title",
    "format": "text"
  },
  "domain": {
    "label": "Domain",
    "format": "text"
  },
  "points": {
    "label": "Points",
    "format": "number"
  },
  "author": {
    "label": "Author",
    "format": "text"
  },
  "num_comments": {
    "label": "Comments",
    "format": "number"
  },
  "created_at": {
    "label": "Created",
    "format": "date"
  },
  "url": {
    "label": "URL",
    "format": "link"
  },
  "hn_url": {
    "label": "HN link",
    "format": "link"
  },
  "story_id": {
    "label": "Story id",
    "format": "number"
  },
  "parent_id": {
    "label": "Parent id",
    "format": "number"
  },
  "text": {
    "label": "Text",
    "format": "text"
  },
  "fetched_at": {
    "label": "Fetched",
    "format": "date"
  }
}
```

## About this Actor

This example demonstrates how to use [Hacker News Scraper - top, new and search stories, comments](https://apify.com/retrainmap/hackernews-stories.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/retrainmap/hackernews-stories.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/retrainmap/hackernews-stories.md

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`).