Reddit Comments Search Scraper 🔍📥💬 - Cheap

💬 Reddit Comments Scraper 🔍📥

The Reddit Comments Scraper is your go-to tool for collecting structured Reddit comment data based on keyword searches. Ideal for sentiment analysis, opinion mining, content moderation, or automation workflows — this scraper extracts relevant Reddit comments in minutes.

🔍 What It Does

Enter a keyword, define the time period, sorting preference, and number of comments — and the scraper delivers:

✅ Clean, high-signal Reddit comments matching your search ✅ Structured metadata for each comment: author, score, timestamp, subreddit, etc. ✅ Links to the original post and the comment thread ✅ Data ready for immediate analysis or automation pipelines

📄 Output Fields

Field	Description
comment_id	Reddit comment ID (e.g. t1_nealob9)
post_id	Parent Reddit post ID (e.g. t3_1nhbvn6)
post_title	Title of the Reddit post the comment belongs to
subreddit_id	Subreddit ID (e.g. t5_2xhvq)
subreddit_name	Subreddit name (e.g. AmItheAsshole)
text	Full text of the comment
timestamp	Timestamp of the comment (ISO 8601 UTC format)
parent_id	Parent comment or post ID (t1_xxxx or t3_xxxx)
score	Number of upvotes the comment has received
author	Reddit username of the comment author

🛠 How to Use the Scraper

It’s beginner-friendly and efficient:

🔤 Enter a keyword to search across Reddit comments 🕒 Select time range: hour, day, week, month, year, or all-time 📊 Sort results: by relevance, top, new, or controversial 🔢 Choose how many comments to scrape

🚀 Run the scraper — get structured Reddit comment data in minutes!

📦 Export your data to:

JSON

CSV

Excel

HTML / XML

💰 Pricing

This scraper uses a pay-per-month model. You’re only charged for successful results.

• Price: $19.49 per month.

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💡 Use Cases

🧠 Sentiment Analysis — Understand public opinion on products, brands, or topics

🎯 Market Research — Analyze user-generated insights at scale

📢 Media Monitoring — Monitor public discussions and trends

🤖 Automation — Feed comment data into workflows, dashboards, or ML models

🛡️ Moderation & Risk — Identify hate speech, toxicity, or misinformation patterns

📥 Input Schema

Input example :

{
  "keyword": "soccer",
  "time": "month",
  "sort": "top",
  "maxitems": 60
}

Input Fields:

Field	Type	Description
keyword	string	🔍 Keyword to search for in Reddit comments
time	string	⏰ Time filter: hour, day, week, month, year, or all
sort	string	📊 Sort by: relevance, top, new, or controversial
maxitems	integer	🔢 Maximum number of comments to scrape

Output

{
  "comment_id": "t1_nealob9",
  "post_id": "t3_1nhbvn6",
  "post_title": "AITA for not wanting my 4 year old daughter to join a soccer team...",
  "subreddit_id": "t5_2xhvq",
  "subreddit_name": "AmItheAsshole",
  "text": "If the in-laws think soccer is so important, they can volunteer...",
  "timestamp": "2025-09-15T04:01:00.032000+0000",
  "parent_id": "t3_1nhbvn6",
  "score": "24049",
  "author": "swiftiebookworm22"
}

Field	Description
id	Reddit post ID (e.g. t3_1j1dcyz)
title	Post title
subreddit	Subreddit name where the post was published
post_url	Direct link to the Reddit post
timestamp	Original post timestamp (UTC)
votes	Number of upvotes (formatted string, e.g. 112K)
comments	Number of comments
thumbnail_url	Link to the post's preview image
nsfw	Boolean flag if the post is Not Safe for Work
spoiler	Boolean flag if the post is marked as a spoiler
extraction_date	When the scraper extracted the data

📫 Support

😊 Leave us a star ⭐⭐⭐⭐⭐ if you are satisfied with the product! 🌍 For any questions, specific needs or issues, please reach out through Apify's platform or via email - Storm_Scraper 🌪️🌩️