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it extracts structured rows for posts and optional comments that include text, titles, author and subreddit metadata, timestamps, URLs/permalinks, engagement metrics, and thread relationships (parent-child links and nesting depth) for downstream analysis. The Actor supports keyword searches across Reddit or within a specific subreddit with sort and time-window filters, bounded comment collection with nested context, scheduling for recurring monitoring, and reliability controls such as retries, request pacing, and proxy configuration. Outputs are structured for use in social listening, market research, community monitoring, dataset construction for AI training and retrieval-augmented generation, summarization/classification/sentiment workflows, content research, alerts, and other downstream filtering, deduplication, labeling, embedding, or model training pipelines.\n\n## Use cases\n\n- Social listening: track mentions of brands, products, competitors, issues, and topics. \n- Market research: export public discussions for pain-point analysis, category research, and trend reports. \n- Community monitoring: watch subreddits and search terms on a recurring schedule for changes or incidents. \n- AI training and RAG datasets: collect posts and comments with engagement and thread metadata for filtering, labeling, embedding, and retrieval workflows. \n- AI summaries and classification: feed posts and comment content into summarization, classification, or sentiment analysis pipelines. \n- Content research: discover questions, objections, stories, and language for content planning. \n- Support and alerting: trigger downstream workflows when new posts match queries or conditions. \n- Lead research and community intelligence: identify discussion threads, user activity, and public signals relevant to outreach or research.", "deploymentKey": "ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQDieKpr5q4/cctmLVATDPES0to/k9Tmm5OQZTK+Yacdcgp49QZbmUwPMwMDiGY8Yxygum6XNbmxeZcQU9Qc+njUKBaiZ6kVmjn1guf5khti19pX1PjJuH1i49VbEt3qyb5hYocT7vqmtVr7Y7a1sgwxzr5qCSu2fupoLlj3tTAfblJbScUQXJAH9nE47KMLOVyBjcq40g33AdVKFFgo+5ilC6bk92EUmkAZmM3mDQcredrz/ts+vOTPg82ObYwMp0wX9ngYOo/Jl2lLhRdgkBU1bWN30EfwUygMV0YDEAoknTMwuV+n4k4xJU4ODA281UWOWRAKtuGQISviiXuv4Om1 \n" } }