Reddit Search Scraper

Extract structured, high-signal data from Reddit across 5 distinct dimensions — Posts, Comments, Active Communities (with traffic stats), Media, and People. No Reddit account, cookies, or API keys required.

Why Choose This Scraper? • 5 Search Dimensions • Quick Start • Search Recipes • Input • Output • Pricing • API

---

Why Choose This Scraper?

Most Reddit scrapers are built to crawl specific subreddit URLs, and treat keyword search as an afterthought.

Reddit Search Scraper is a dedicated 5-in-1 Reddit search engine. It queries Reddit's latest web search infrastructure directly, giving you complete access to unfiltered discussions and community metrics:

• 💬 Search inside Comments across all of Reddit: Don't just scrape post titles. Search millions of user comments to uncover honest brand sentiment, candid product reviews, and unmet customer needs.
• 👥 Find active Subreddits with Traffic Stats: Discover niche communities and evaluate their actual engagement with weeklyVisitors and weeklyPosts counts.
• 📝 Enriched Post Metadata: Automatically fetches full text body, upvoteRatio, net voteCount, comment counts, and high-resolution gallery URLs.
• ⚡ 100% Uptime & Modern Rendering: Built directly on Reddit's modern web architecture, ensuring dependable uptime and accurate real-time metrics.
• 💰 Fair Pay-Per-Event Billing: $3.00 per 1,000 results ($0.003/item). Pay only for the data you receive. The Apify Free plan ($5/mo credits) gives you over 1,600 results free every month.

[!TIP]

💡 Why Comment Search is a Game-Changer

90% of real buyer sentiment, unvarnished product reviews, and software complaints are buried inside Reddit comments, never appearing in post titles.

While other scrapers only search posts, Reddit Search Scraper searches millions of comments across all of Reddit directly. Even better, every comment result includes its Parent Post Context (postTitle, postUrl, postCreatedAt, postVoteCount, and postCommentCount) — giving you complete conversation context in a single dataset without making extra API calls.

---

5-in-1 Search Dimensions

Search Type (searchType)	What It Extracts	Ideal For
💬 Comments (comments)	Comment text, post context, parent link, author, timestamps, parent post upvotes & comments	Sentiment analysis, honest product feedback, competitor complaints
👥 Communities (communities)	Subreddit name, description, weekly visitors, weekly posts, icon	Target audience discovery, influencer marketing, ad placement research
📝 Posts (posts)	Full post body, upvote ratio (0–1), vote/comment counts, images	Market research, trending discussions, customer pain point tracking
🖼️ Media (media)	High-resolution image URLs, gallery assets, video poster links	Meme analysis, visual trend tracking, creative inspiration
👤 People (people)	User profile, total karma score, avatar image	Identifying key opinion leaders (KOLs) and niche community experts

---

How to Use in 3 Steps

1. Enter your Search Query: Type your target keyword or phrase (e.g. "CRM recommendations", "web scraping tools").
2. Select Search Type: Choose from posts, comments, communities, media, or people.
3. Click Start: Wait a few seconds, then export your structured dataset in JSON, CSV, or Excel.

---

Real-World Use Cases & Search Recipes

Copy and paste these battle-tested query recipes into the Input tab:

1. Find High-Intent Leads & Buyer Questions

Catch people asking for tool recommendations before your competitors do:

• Sample Queries to Copy:
  • "is there an app for"
  • "Notion alternative"
  • "recommend a" CRM
  • "looking for software that"
• Settings: searchType: "posts" or "comments" | sortOrder: "new" | timeFilter: "week"
• Outcome: Direct access to warm leads who are actively looking to purchase software.

2. Uncover Competitor Complaints & Product Feedback

Hear what users genuinely dislike about existing market solutions:

• Sample Queries to Copy:
  • "[Competitor]" AND (slow OR bug OR expensive OR hate)
  • "[Competitor] pricing"
  • "switched from [Competitor]"
• Settings: searchType: "comments" | sortOrder: "relevance" | timeFilter: "year"
• Outcome: Real user frustrations concentrated in comments, delivering instant roadmap and positioning insights.

3. Discover Active Communities by Audience Size

Find the most engaged subreddits for marketing, outreach, or advertising:

• Sample Queries to Copy:
  • b2b saas
  • indie hackers
  • productivity tools
  • remote work
• Settings: searchType: "communities"
• Outcome: Sort by weeklyVisitors and weeklyPosts to target only high-traffic, active audiences.

4. Build AI & LLM Training / Sentiment Datasets

Extract authentic human discussions filtered by community quality:

• Sample Queries to Copy: Domain keywords (e.g., web scraping, cloud hosting, deep learning)
• Settings: searchType: "posts" with timeFilter: "all", then filter dataset by upvoteRatio > 0.8 to eliminate spam.
• Outcome: High-signal conversational datasets weighted by community consensus.

---

Pro Search Tips

Reddit's search engine supports standard search operators:

• Exact Phrases: Use quotation marks ("indie hacker") to match the exact word sequence.
• Boolean OR: Use uppercase OR (python OR javascript) to match either term.
• Chronological Monitoring: Combine sortOrder: "new" with timeFilter: "day" on an Apify Schedule to receive daily updates.

---

Input Parameters

Parameter	Type	Required	Default	Description
query	string	Yes	"apify"	Search keyword or phrase (e.g. "chatgpt alternatives", "b2b saas")
searchType	string	No	posts	One of: posts, comments, communities, media, people
maxResults	integer	No	100	Number of results to collect (min: 1, max: 500)
timeFilter	string	No	all	all, year, month, week, day, hour (applies to posts and media)
sortOrder	string	No	relevance	relevance, hot, top, new, comments (applies to posts and media)

---

Output Data Samples

Click any section below to preview the exact JSON schema returned by each search dimension:

---

Output Fields Reference

Field	Types	Description
dataType	All	Result identifier: "post", "comment", "community", or "people"
id	All	Unique Reddit identifier (e.g. t3_..., t1_..., t5_..., t2_...)
title	Posts, Media	Post title
url	All	Direct canonical URL to the post, comment, subreddit, or profile
subredditName	Posts, Comments, Media	Subreddit name without r/ prefix
body	Posts, Comments	Full post text body (text posts only) or comment content
voteCount	Posts, Comments	Net upvotes (for comments, this is comment upvotes)
commentCount	Posts	Total comment count
upvoteRatio	Posts	Upvote ratio between 0.0 and 1.0
weeklyVisitors	Communities	Estimated weekly visitor count
weeklyPosts	Communities	Estimated weekly post volume
karma	People	Total user karma score
images	Posts, Media	Array of full-size image/gallery URLs
createdAt	Posts, Comments	ISO 8601 UTC timestamp
postId	Comments	Parent post ID
postTitle	Comments	Parent post title
postUrl	Comments	Link to parent post
postCreatedAt	Comments	Parent post creation timestamp
postVoteCount	Comments	Parent post net upvotes
postCommentCount	Comments	Parent post total comment count
postNsfw	Comments	Whether parent post is NSFW
postSpoiler	Comments	Whether parent post is marked spoiler

---

Pricing & Fair Billing

This Actor uses Apify's Pay-Per-Event (PPE) pricing model:

• Cost: $3.00 per 1,000 results ($0.003 per item saved to dataset).
• No Monthly Platform Usage Charges: You only pay for the actual results collected.
• Free Allowance: Apify provides $5 in free credits every month, allowing you to scrape over 1,600 results completely free each month.

---

For Developers

Integrate Reddit Search directly into your ETL pipelines, autonomous AI agents (Claude, ChatGPT, Cursor), or automation workflows (n8n, Make, Zapier).

JavaScript / TypeScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

const run = await client.actor('crw/reddit-search-scraper').call({
  query: 'web scraping tools',
  searchType: 'posts',
  maxResults: 100,
  timeFilter: 'month',
  sortOrder: 'top',
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Fetched ${items.length} items`);

Python

from apify_client import ApifyClient

client = ApifyClient('YOUR_API_TOKEN')

run = client.actor('crw/reddit-search-scraper').call(run_input={
    'query': 'web scraping tools',
    'searchType': 'comments',
    'maxResults': 100,
    'timeFilter': 'month',
})

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

---

Limitations

• Up to 500 results per run.
• body is populated for text posts (image, video, and link posts return null).
• timeFilter and sortOrder apply to posts and media searches.
• voteCount, commentCount, and upvoteRatio are not returned by Reddit for media searches.

---

🚀 Ready to Uncover Real Reddit Insights?

Start scraping Reddit discussions, comment sentiment, and community metrics in seconds. Test it directly on Apify Console — your first 1,600+ results are completely free every month with Apify's $5 free tier.

---