Sentiment Analyzer — Reddit & HN Comment Analysis

Why Sentiment Analyzer — Reddit & HN Comment Analysis?

Analyze sentiment of Reddit and Hacker News comments with keyword extraction.

Whether you're building data pipelines, monitoring competitors, or creating AI training datasets, this tool handles the heavy lifting — no infrastructure required.

Key Features

• AI-powered content extraction
• Structured JSON output
• Rate limiting and retries
• Clean text output ready for LLMs

Use Cases

• Brand sentiment monitoring
• Product feedback analysis
• Market trend prediction
• Social listening at scale

How It Works

1. Input: Provide URLs, search terms, or feed links depending on the actor
2. Processing: The actor crawls, extracts, and structures the data
3. Output: Clean JSON with all fields normalized and ready to use

Quick Start

Option 1: Apify Store

👉 Try Sentiment Analyzer — Reddit & HN Comment Analysis on Apify

Option 2: RapidAPI

The same functionality is available as a REST API endpoint on RapidAPI:

👉 Multi-Tool Content API on RapidAPI

Code Example

from apify_client import ApifyClient

client = ApifyClient('YOUR_API_TOKEN')

run_input = { }

run = client.actor('darknezz/sentiment-analyzer').call(run_input=run_input)

for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)

Pricing

This actor uses pay-per-event pricing on Apify — you only pay for the data you actually get. No subscription fees, no hidden costs.

Links

Platform	Link
Apify Store	Sentiment Analyzer — Reddit & HN Comment Analysis
RapidAPI	Multi-Tool Content API
GitHub	Source Code & Docs

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Built and maintained by DarkneZz. Questions? Open an issue on GitHub.