Reddit Comments Search Scraper avatar
Reddit Comments Search Scraper

Pricing

$19.99/month + usage

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Reddit Comments Search Scraper

Reddit Comments Search Scraper

Developed by

EasyApi

EasyApi

Maintained by Community

Search and extract Reddit comments with advanced filtering options. Get detailed metadata including comment content, author info, post context, and engagement metrics. Perfect for sentiment analysis, trend research, and social media monitoring.

5.0 (1)

Pricing

$19.99/month + usage

1

Total users

18

Monthly users

6

Runs succeeded

>99%

Response time

1.3 days

Last modified

3 days ago

Reddit Comments Search Scraper 🔍

Extract Reddit comments matching your search query with rich metadata and context information.

🌟 Features

  • Search comments across all Reddit communities
  • Multiple sorting options (relevance, top, new, hot)
  • Safe search filtering
  • Rich metadata extraction
  • Support for text, image, and video content

📊 Output Structure

Each comment includes:

  • Timestamps and scores
  • Full comment content (text/image/video)
  • Complete post context
  • Subreddit information
  • Author details

💡 Use Cases

  • Content Research
  • Sentiment Analysis
  • Market Research
  • Brand Monitoring
  • Trend Analysis
  • Academic Research
  • Community Engagement Analysis
  • Competition Analysis

🔧 Input Parameters

ParameterTypeDescription
queryStringSearch term for finding comments
sortStringSort order (relevance, top, new, hot)
safeSearchStringEnable/disable safe search (0/1)
maxItemsIntegerMaximum number of comments to extract
proxyConfigurationObjectOptional proxy settings

Input Example

A full explanation of an input example in JSON.

{
"query": "ai",
"sort": "relevance",
"safeSearch": "0",
"maxItems": 30
}

Output sample

The results will be wrapped into a dataset which you can always find in the Storage tab. Here's an excerpt from the data you'd get if you apply the input parameters above:

And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.

[
{
"post": {
"title": "Elon Musk's xAI buys social media platform X for $45 billion",
"url": "https://www.reddit.com/r/news/comments/1jm6dhu/elon_musks_xai_buys_social_media_platform_x_for/",
"score": 0,
"comment_count": 0
},
"subreddit": {
"name": "Elon Musk's xAI buys social media platform X for $45 billion"
},
"author": {
"name": "lawn_question_guy"
},
"contentText": "\"$45 billion\" of xAI stock... so you have to accept xAI's totally specious $75B valuation in order to believe this transaction is actually worth $45 billion. What a joke.\n \n xAI has raised around $20 billion from investors and sells nothing but vaporware.",
"content_type": "text",
"created_timestamp": "2025-03-28T21:37:57.077000+0000"
},
...
]