Reddit Search Scraper 2026 avatar

Reddit Search Scraper 2026

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from $1.00 / 1,000 results

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Reddit Search Scraper 2026

Reddit Search Scraper 2026

Find viral content ideas, and research niche communities. Extract Reddit posts, comments, and discussion data from search queries.

Pricing

from $1.00 / 1,000 results

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Developer

devcake

devcake

Maintained by Community

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1

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0

Monthly active users

7 days ago

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Reddit Search Scraper

Extract Reddit posts, comments, and discussion data from search queries. Build audience intelligence, find viral content ideas, and research niche communities.

๐Ÿ“Š What It Does

Scrape Reddit search results to collect post details (selftext, metadata). Use the separate /comments endpoint to extract comment threads for specific posts.

Two-tier pricing model:

  • /search - Fast post discovery and details (selftext included, no comments)
  • /comments - Full comment threads for specific posts (charge per post)

API Mode: Test queries directly via the interactive Standby API tab โ€” no input configuration needed, just enter your search and see results instantly.

๐Ÿ‘ฅ Who It's For

  • ๐ŸŽจ Content creators finding trending topics and viral post ideas for content calendars
  • ๐Ÿ“ˆ Marketers researching subreddit communities for niche targeting and audience intelligence
  • ๐Ÿ› ๏ธ Product teams gathering user feedback and discussion patterns from Reddit
  • ๐Ÿ“Š Data analysts building datasets for sentiment analysis and trend monitoring
  • ๐Ÿ” SEO specialists exploring Reddit communities for outreach and link-building opportunities
  • ๐Ÿงช Researchers collecting discussion data for market research and competitive analysis

๐Ÿ’ก Use Cases

Find Viral Content Ideas

Discover Reddit posts that are gaining traction. Analyze post titles, scores, and engagement metrics to identify content patterns that resonate with specific communities. Use these insights to create content that performs well in similar niches.

Niche Community Research

Identify subreddit communities relevant to your target audience. Study post volumes, engagement rates, and discussion topics to find underserved niches. Perfect for influencers, brands, and marketers looking to expand into new Reddit communities.

Sentiment Analysis Datasets

Build datasets of Reddit discussions for natural language processing. Collect post selftext and comment bodies to analyze sentiment, extract common complaints, or identify emerging trends. Use for training ML models or building business intelligence dashboards.

Competitive Audience Intelligence

Research what questions, problems, and discussions dominate your competitors' communities. Monitor subreddits related to your industry to understand what customers care about, what products they praise, and what pain points they express.

Content Calendar Planning

Track which topics gain traction at specific times. Use time-filtered searches to understand seasonal trends, product launch discussions, and recurring conversation themes. Plan content timing based on when target communities are most active.

Product Feedback Research

Collect Reddit posts and comments about specific products, features, or brands. Analyze user sentiments, feature requests, and complaint patterns. Extract valuable product insights without running expensive user surveys.

Keyword and Trend Monitoring

Monitor Reddit for brand mentions, industry keywords, and emerging trends. Use time filters to track discussion volume over days, weeks, or months. Identify early signals of trending topics before they go mainstream.

๐Ÿš€ Quick Start

  1. Add search queries - Enter keywords related to your niche or industry
  2. Configure options - Set max results, sort order, and time filter
  3. Run the scraper - Download your dataset when complete

โš™๏ธ Input Parameters

ParameterTypeRequiredDescription
queriesarrayYesSearch keywords. Each query runs as a separate search.
max_posts_per_queryintegerNoPosts to collect per query (20-200, default: 20)
include_commentsbooleanNoExtract full comment text for each post
max_comments_per_postintegerNoMaximum comments per post (1-100, default: 100)
sortstringNoSort order: relevance, hot, new, top, comments
timestringNoTime filter: hour, day, week, month, year, all

๐Ÿ“Š Data You Get

FieldDescription
idUnique Reddit post identifier
subredditCommunity name where the post appears
titlePost headline
selftextFull post body text
authorReddit username of the poster
scoreNet upvotes minus downvotes
num_commentsTotal comment count
urlDirect link to the post
permalinkReddit shareable link
created_utcTimestamp when post was created
is_selfWhether post is a text post (vs. link)
commentsArray of comment objects with author, body, score

๐Ÿ“ Example

Input

{
"queries": ["AI tools 2026"],
"max_posts_per_query": 20,
"sort": "hot",
"time": "month"
}

Output

{
"dataType": "post",
"id": "1abc123",
"subreddit": "artificial",
"title": "Best AI tools for productivity?",
"selftext": "Looking for recommendations...",
"author": "TechEnthusiast42",
"score": 247,
"num_comments": 89,
"url": "https://www.reddit.com/r/artificial/comments/...",
"created_utc": 1748000000,
"comments": [
{
"author": "AIResearcher",
"body": "I've been using Claude for writing tasks...",
"score": 34
}
]
}