# Analyze Hacker News comments for buyer intent

**Use case:** 

Turn a public Hacker News discussion into ranked buyer intent, objections, product questions, feature requests, and response priorities.

## Input

```json
{
  "postUrls": [
    "https://news.ycombinator.com/item?id=8863"
  ],
  "datasetIds": [],
  "comments": [],
  "maxCommentsPerTarget": 25,
  "maxPages": 1,
  "timeoutSecs": 120,
  "language": "en",
  "keywords": [],
  "enabledTaxonomies": [
    "purchase_intent",
    "product_question",
    "objection",
    "complaint",
    "feature_request",
    "support_issue",
    "spam",
    "praise",
    "risk"
  ],
  "maxTotalChargeUsd": 0.3
}
```

## Output

```json
{
  "recordType": {
    "label": "Record type"
  },
  "platform": {
    "label": "Platform"
  },
  "id": {
    "label": "Id"
  },
  "classification": {
    "label": "Classification"
  },
  "urgency": {
    "label": "Urgency"
  },
  "theme": {
    "label": "Theme"
  },
  "text": {
    "label": "Text"
  },
  "confidence": {
    "label": "Confidence"
  },
  "sourceUrl": {
    "label": "Source url"
  }
}
```

## About this Actor

This example demonstrates how to use [HN Buyer Intent Signals](https://apify.com/skootle/social-comment-buyer-intent-intelligence) with a specific input configuration. Visit the [Actor detail page](https://apify.com/skootle/social-comment-buyer-intent-intelligence) to learn more, explore other use cases, and run it yourself.


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

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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/skootle/social-comment-buyer-intent-intelligence.md

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).