Search Reddit
Search Reddit using URLs or keywords. Search for posts (default), comments, communities, or users. Sort by relevance, hot, top, new, rising, or comments. Filter by timeframe (hour, day, week, month, year, all) or specific date. Include/skip comments, user posts, and community info. Set max items (1-10,000), posts per page, comments per post, and communities/users pages.
Examples
Find new posts from the last week on r/SaaS about customer onboarding problems. Skip comments, max 50 posts.
Search 'struggling with hiring engineers' in r/startups from last month, sort by new, include comments, max 30 posts.
Find posts about 'AI infrastructure' OR 'LLM deployment' from last week, sort by top, include comments (max 5 per post), max 50 posts.
Search r/b2bmarketing for posts about 'stale lead data' from last year, sort by top, include comments (max 10 per post), max 30 posts.
Find users in r/devopsjobs who posted in last 2 weeks, max 50 users, include their recent posts (max 5 per user).
Search 'need help with web scraping' OR 'data entry project' from last week, sort by new, include comments (max 3 per post), max 40 posts.
Get posts from r/datascience after 2025-01-01 mentioning 'enterprise data collection', sort by top, skip comments, max 100 posts.
Filter Table
Use AI to intelligently filter Reddit data based on semantic meaning, intent, sentiment, and context. AI analyzes post content, comment tone, user behavior patterns, and implicit signals that simple keyword filtering cannot detect.
Examples
Keep only posts where the author is genuinely seeking a solution to a customer onboarding problem, not just complaining or discussing theory.
Filter for posts where the author expresses urgency about hiring engineers and mentions budget or timeline constraints.
Keep only posts discussing AI infrastructure where the author demonstrates technical depth and isn't just asking basic questions.
Filter for posts where authors express dissatisfaction with their current lead generation tools or data quality.
Keep only job posts that indicate they're hiring for senior-level positions based on the responsibilities described, not just the title.
Filter for posts where people are explicitly requesting help with data scraping or web research, not offering services.
Keep only posts where the discussion is about practical data collection challenges in enterprise settings, not academic research.
Generate Table
Use AI to extract insights, generate summaries, classify content, score relevance, and create structured data from unstructured Reddit posts and comments. AI performs semantic analysis, entity extraction, sentiment detection, and pattern recognition that cannot be achieved with simple text extraction.
Examples
Add a one-sentence summary of their pain point, infer their company stage from context, and score how urgent their language sounds from 1-10.
Score hiring urgency as Low, Medium, or High based on tone. Flag whether they mention team size. Extract any hints about budget or compensation.
Rate technical depth from 1-10, extract key technologies mentioned, and determine if it has business application potential with reasoning.
Classify their current tool satisfaction as Satisfied, Neutral, or Dissatisfied. List specific pain points mentioned and score buying intent from 1-10.
Infer seniority level (Junior/Mid/Senior) from the responsibilities described, extract the tech stack mentioned, and determine remote preference (Yes/No/Hybrid).
Classify project type as Web scraping, Data entry, or Research. Estimate or infer budget from the description and indicate urgency (Immediate/This week/Flexible).
Categorize the use case as Analytics, ML, Data Pipeline, or Other. Rate technical complexity as Low, Medium, or High and list all tools or platforms mentioned.
