Reddit Search Scraper 2026
Pricing
from $1.00 / 1,000 results
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
Rating
0.0
(0)
Developer
devcake
Maintained by CommunityActor stats
1
Bookmarked
1
Total users
0
Monthly active users
7 days ago
Last modified
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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.
๐ 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.
๐ฅ Who It's For
- ๐จ Content creators finding trending topics and viral post ideas for content calendars
- ๐ Marketers researching subreddit communities for niche targeting and audience intelligence
- ๐ ๏ธ Product teams gathering user feedback and discussion patterns from Reddit
- ๐ Data analysts building datasets for sentiment analysis and trend monitoring
- ๐ SEO specialists exploring Reddit communities for outreach and link-building opportunities
- ๐งช Researchers collecting discussion data for market research and competitive analysis
๐ก 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.
๐ Quick Start
- Add search queries - Enter keywords related to your niche or industry
- Configure options - Set max results, sort order, and time filter
- Run the scraper - Download your dataset when complete
โ๏ธ Input Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
| queries | array | Yes | Search keywords. Each query runs as a separate search. |
| max_posts_per_query | integer | No | Posts to collect per query (20-200, default: 20) |
| include_comments | boolean | No | Extract full comment text for each post |
| max_comments_per_post | integer | No | Maximum comments per post (1-100, default: 100) |
| sort | string | No | Sort order: relevance, hot, new, top, comments |
| time | string | No | Time filter: hour, day, week, month, year, all |
๐ Data You Get
| Field | Description |
|---|---|
| id | Unique Reddit post identifier |
| subreddit | Community name where the post appears |
| title | Post headline |
| selftext | Full post body text |
| author | Reddit username of the poster |
| score | Net upvotes minus downvotes |
| num_comments | Total comment count |
| url | Direct link to the post |
| permalink | Reddit shareable link |
| created_utc | Timestamp when post was created |
| is_self | Whether post is a text post (vs. link) |
| comments | Array of comment objects with author, body, score |
๐ 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}]}