Techionik

Extract no-code template listings with platform, category, price, creator, and marketplace fit.

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

Extract license names, attribution duties, copyleft signals, commercial-use limits, notice requirements, and compliance actions from open-source project pages.

Mine podcast episode pages and show notes for guest prospects, expertise themes, companies, and booking outreach hooks.

Monitor press releases for partnership signals with companies, announcement type, target market, commercial motion, and follow-up reason.

Benchmark SaaS freemium pricing pages by extracting free-plan caps, usage units, paid entry price, feature gates, and upgrade pressure.

Extract cookie vendors, purposes, retention periods, data-sharing signals, opt-out links, and privacy risk notes from cookie and privacy pages.

Track public procurement award notices with buyer, winning vendor, contract title, value, date, duration, category, and sales intelligence.

Extract launch-page signals such as product names, taglines, maker mentions, categories, comments, and early traction hints.

Cluster public roadmap requests by feature, votes, customer segment, status, demand strength, competitive risk, and product action.

Extract shipped, planned, beta, and requested feature signals from public roadmap and feedback pages.

Run Reddit Demand Signal Miner to collect structured public web data with source URLs, clean dataset rows, and guarded execution controls.

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

Scrape Reddit search and subreddit feeds for demand signals, pain points, product requests, repeated questions, and source URLs.

Detect retail shelf gaps from ecommerce category, search, or product pages with availability, price, delivery, assortment, and reseller opportunity signals.

Mine public reviews for customer complaints, missing features, severity, affected workflows, sentiment clues, and product or sales opportunities.

Extract bid opportunities, deadlines, buyer organizations, and fit reasons from public RFP text.

Analyze robots.txt and crawler policy text for AI bot access rules, disallow paths, sitemap references, and blocked model-training crawlers.

Extract clean article rows from RSS, Atom, and JSON feeds for news monitoring, content research, content operations, and AI workflow inputs.

Convert public product review snippets into churn risk themes, switching signals, and retention actions.

Extract clean SaaS plan, price, limit, and packaging signals from pricing pages.

Monitor security advisories for vendor-risk signals such as CVE, affected product, severity, vulnerable versions, fix version, and mitigation.

Extract marketplace seller-policy changes, fees, deadlines, and merchant impact.

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