NIJ KANANI

Scrape posts and comments from any Lemmy instance (the open, federated Reddit alternative). Filter by community, search keyword, or pull instance-wide feeds. No login required. Built for AI training datasets, fediverse research, and community monitoring.

Scrape GitHub's trending repositories and developers daily, weekly, or monthly. Filter by programming language and spoken language. Get stars, forks, descriptions, and full metadata. Perfect for tech trend tracking, AI tool discovery, and developer recruiting.

Scrape Hacker News stories, comments, polls, jobs, and Ask/Show HN posts. Search by keyword and date range, pull a user's full activity, or fetch any HN list (front page, new, best, ask, show, job). No auth required. Built for AI/ML datasets, tech trend research, and news monitoring.

Scrape questions, answers, and comments from Stack Overflow and the Stack Exchange network. Filter by tag, search, or user. Returns body, score, votes, accepted-answer flag. Built for AI/LLM training datasets, dev research, and tag-trend monitoring.

Scrape YouTube comments from any video URL or ID via the official YouTube Data API v3. Optionally include reply threads. Returns text, author, likes, timestamps, language, and channel info. Built for sentiment analysis, AI training, brand monitoring, and creator research.

Scrape Bluesky (AT Protocol) posts by keyword, hashtag, author handle, or custom feed. Export likes, reposts, replies, hashtags, mentions, embeds, and full metadata as JSON or CSV. Built for AI training datasets, social analytics, brand monitoring, and trend tracking.

Scrape Wikipedia articles by title, run keyword searches, pull recent changes, or extract entire categories — across any of 300+ language editions. Returns clean text, summaries, references, links, and metadata. Built for AI/LLM training datasets, NLP research, and knowledge-graph building.