SubReddit Posts Search Scraper 🔍 Powerful Reddit scraper that extracts search results from any subreddit with advanced filtering capabilities. ## 🎯 Features - Search any subreddit for specific keywords or phrases - Advanced sorting options (relevance, top, new, comments, hot) - Customizable time range filtering (hour, day, week, month, year, all) - Safe search toggle - Configurable maximum items limit ## 📊 Output Data The actor extracts the following data for each post: - Post title - Full Reddit URL - Creation timestamp - Number of upvotes - Number of comments - Subreddit name - Thumbnail URL (if available) ## 💡 Use Cases - Market research and trend analysis - Content monitoring and curation - Community engagement tracking - Competitive analysis - Academic research - Social media monitoring ## 🔧 Input Parameters | Parameter | Type | Description | |-----------|------|-------------| | query | String | Search keyword or phrase | | subReddit | String | Target subreddit name (without 'r/') | | sort | String | Sort results by: 'relevance', 'top', 'new', 'comments', or 'hot' | | time | String | Time range filter: 'hour', 'day', 'week', 'month', 'year', or 'all' | | safeSearch | String | Enable/disable safe search ('0' for safe, '1' for unsafe) | | maxItems | Integer | Maximum number of items to scrape | ### Input Example A full explanation of an input example in JSON. { "query": "ai", "subReddit": "r/AppIdeas", "sort": "top", "time": "all", "safeSearch": "1", "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. [ { "title": "AI-Powered Audio-to-Text Organizer and Formatter App", "url": "https://www.reddit.com/r/AppIdeas/comments/14xmec9/aipowered_audiototext_organizer_and_formatter_app/", "created_time": "2023-07-12T11:52:32.673000+0000", "votes": 47, "comments": 13, "subreddit": "r/AppIdeas" }, { "title": "A messaging app where AI converts your sentence to a single image that perfectly conveys your message. Communication is exclusively visual.", "url": "https://www.reddit.com/r/AppIdeas/comments/vb8sdf/a_messaging_app_where_ai_converts_your_sentence/", "created_time": "2022-06-13T10:11:23.725000+0000", "votes": 36, "comments": 8, "subreddit": "r/AppIdeas", "thumbnail": "https://a.thumbs.redditmedia.com/ynraYPga9t2QMtBcoZ36z4gFgP41zInOTD4MZccadJ0.jpg" }, ... ] ## Related Actors - 🔍 Reddit Comments Scraper - Extract Reddit comments with complete thread structure and engagement metrics - 🔍 SubReddit Comments Search Scraper - Extract Reddit comments from any subreddit's search results with advanced filtering - 🔍 Reddit Communities Search Scraper - Extract Reddit communities with comprehensive metadata and member counts - 🔍 Reddit Media Search Scraper - Extract media posts from Reddit's search results with rich metadata - 🔍 Reddit Trends Scraper - Extract trending posts and discussions from Reddit with advanced filtering - 📥 Reddit Media Downloader - Download high-quality videos, GIFs, and images from Reddit posts - 🔍 SubReddit Media Search Scraper - Extract media content from Reddit subreddit search results - 🔍 Facebook Posts Search Scraper - Extract posts from Facebook search results with detailed information - 🔍 Twitter/X Video Downloader - Download high-quality videos from Twitter/X platform - 📱 Facebook Post Comments Scraper - Extract comments from public Facebook posts with detailed information - 🔍 Medium Posts Search Scraper - Extract comprehensive article data from Medium's search results - 🎯 Social Media Hashtag Generator - Generate relevant hashtags for multiple social media platforms - 📊 Text Sentiment Analysis - Analyze sentiment of text content with detailed breakdown - 📄 Article Content Extractor - Extract clean article content and metadata from web pages - 🔍 AI-powered Search - Get AI-enhanced search summaries with references and optimization tips