Scrape Reddit threads and comments
Pull threads, comments, scores, and author metadata from any subreddit, search, or user profile. Stekpad handles the old.reddit.com and new.reddit.com layouts equally.
Use cases: sentiment research, launch feedback monitoring, community mining for product insights, and competitive monitoring on r/SaaS and r/Entrepreneur.
Related on Stekpad
More in this cluster
How to Scrape Google Maps Leads Without Code
Step-by-step guide targeting local agency owners, sales reps, and growth teams who want local business leads. Covers: opening the Stekpad side panel on a Google Maps search results page, clicking to select business name, address, phone, rating, and website fields, running a full-page scrape, exporting to Sheets. Includes tips for multi-city campaigns and handling Google Maps' infinite scroll. Ends with a link to the Google Maps use-case page.
Is Web Scraping Legal in 2026? A Practical Guide
Authoritative legal overview covering: hiQ v. LinkedIn (public data scraping is generally lawful in the US), CFAA limits (don't bypass authentication mechanisms you weren't authorized to access), GDPR considerations for EU personal data, robots.txt (advisory, not legally binding), and ToS clauses (civil risk, not criminal). Structured as a decision tree: if you're scraping public data → generally fine; if behind a login → only safe if it's your own session; if personal data of EU citizens → add anonymization. Positions Stekpad's browser-native model as the lowest-risk technical approach.
Recipes: Pre-Built Scraping Patterns
A catalogue of community-maintained and Stekpad-official scraping recipes. Each recipe includes: target site, fields extracted, expected schema, notes on auth requirements, and a "load this recipe" button. Organized by use-case category (leads, pricing, research, monitoring). Helps first-time users skip schema design entirely.
Amazon price tracker and review scraper. No API needed.
Stekpad tracks Amazon price changes and sends them to your Sheet on a schedule — click once on a price, and the extension learns the pattern for every product page, whether you're monitoring one product or building a full competitor pricing dataset.