Techionik

Run Wikipedia Change Intelligence to collect structured public web data with source URLs, clean dataset rows, and guarded execution controls.

Extract Wikipedia pages for entity summaries, revision changes, citation movement, page metadata, and source-backed research updates.

Track Wikipedia pages for entity summaries, revision changes, citation movement, page metadata, and source-backed research updates.

Find YouTube videos for hashtags and topics, then score views, recency, channel signals, title patterns, and content gaps.

Find sponsor companies and outreach angles from public event pages, agendas, and sponsor lists.

Extract SaaS pricing plans, monthly prices, currencies, billing periods, free trial signals, contact-sales links, and pricing page URLs from SaaS websites. Built for competitive intelligence, SaaS research, pricing analysis, and market monitoring.

Extract restaurant menu data from public HTML and JSON-LD pages: restaurant name, categories, menu items, prices, and source URLs. Fast Cheerio-based scraper with clean dataset output and clear status notes for unsupported, blocked, or JS-rendered sites.

Extract clean website content at scale: page titles, meta descriptions, H1-H3 headings, readable main text, and URLs. Includes smart noise removal, Readability fallback, optional internal crawling, and structured output for SEO audits, AI datasets, research, and automation.

Scrape Hacker News discussions and return titles, links, scores, comments, keywords, and demand signals for market research and outreach.

Scrape public-company catalysts from filings, earnings dates, press releases, and source pages with urgency scoring.