Techionik

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 arXiv papers by keyword or category and return research titles, abstracts, authors, dates, links, and topic signals.

Scrape crates.io package data with download counts, versions, repository links, descriptions, and developer adoption signals.

Find GitHub issues that indicate product demand, support pain, integration gaps, and lead opportunities with repository and issue metadata.

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

Scrape npm package metadata, downloads, repository links, versions, maintainers, and adoption signals for developer ecosystem research.

Extract Reddit posts by keyword or subreddit with titles, links, communities, engagement, keyword matches, and lead-generation demand signals.

Scrape Shopify storefront product catalogs with titles, prices, variants, availability, vendors, product URLs, and ecommerce research fields.

Find Stack Overflow questions that reveal product demand, developer pain points, integration needs, and lead opportunities with clean metadata.

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