Reddit Scraper Pro

A high-reliability Reddit scraper built for automation. It collects posts and comments, performs sentiment analysis, and integrates directly with workflow tools like n8n and Zapier. Designed for scheduled runs and monitoring with a 99%+ success rate.

Key Features

• High Success Rate: 99%+ reliability using smart rate limiting, exponential backoff, and residential proxy support.
• State Management: Tracks the last 10k post IDs to prevent duplicate data across scheduled runs.
• Sentiment Analysis: Built-in NLP classification (positive/negative/neutral) for posts and comments using the AFINN-165 lexicon.
• Automation Ready: Features incremental scraping (only new posts since last run), webhook alerts, and is optimized for scheduled tasks.
• Comment Scraping: Fetches comments with configurable depth (0 to 5 levels).
• Predictable Pricing: Transparent pay-per-post model. Check current pricing in the Apify Console when starting a run.

How to Use

The actor supports two primary search modes, configured via the searchMode input.

1. Keyword Search

Searches across all of Reddit or within specific subreddits for given keywords. Ideal for brand or topic monitoring.

{
  "searchMode": "keyword",
  "keywords": ["Apify", "web scraping"],
  "subreddits": ["webdev", "programming"],
  "analyzeSentiment": true,
  "maxAgeHours": 24
}

Leave the subreddits array empty to search the entire site.

2. Subreddit Monitoring

Monitors specific subreddits for new posts, with optional keyword filtering.

{
  "searchMode": "subreddit",
  "subreddits": ["webdev", "javascript"],
  "maxItemsPerSubreddit": 100,
  "minUpvotes": 10
}

Common Use Cases:
* Brand Monitoring: Get daily alerts with sentiment for brand mentions.
* Competitor Tracking: Monitor competitor names with engagement metrics and comment sentiment.
* Trend Analysis: Deep-dive into topics with nested comment threads.

Input Configuration

Here are the essential input parameters. All fields are optional; defaults will be used if not provided.

Quick Start Test:
Click "Start" with the default configuration or use this minimal input:

{
  "searchMode": "keyword",
  "keywords": ["AI", "ChatGPT"],
  "subreddits": ["technology"]
}

Output

The actor outputs an array of items, each representing a Reddit post. Each item is a structured object containing the following key data points:

• Post Metadata: id, title, text, author, subreddit, url, score (upvotes), numComments, createdAt.
• Sentiment Data: sentiment and sentimentScore (if analysis is enabled).
• Comments: A comments array with nested comment objects, each containing text, author, score, and its own sentiment data (if enabled).

The dataset is formatted for easy integration into databases, spreadsheets, or automation platforms. You can access the run's output via the Apify dataset API, or have it delivered automatically via webhook.