Extract structured JSON data from web pages using codified browser primitives.
npx skills add https://github.com/Shmurdoc/EasyRide-v1 --skill scrape-shmurdoc
Please help me install this Agent Skill. Skill: scrape Source: https://github.com/Shmurdoc/EasyRide-v1/tree/main/.opencode/skills/gstack-scrape Command: npx skills add https://github.com/Shmurdoc/EasyRide-v1 --skill scrape-shmurdoc
Manually writing and maintaining web scraping scripts for each new site is slow, brittle, and wastes engineering time. This Skill automates the extraction of structured data from web pages using pre-built browser primitives.
Use the scrape skill to extract all product names and prices from the current web page and return them as JSON.
High-intent search queries and answers about installing and using this skill.
You can extract web page data as structured JSON by using browser primitives that prototype the scraping flow automatically. This approach returns results in approximately 200ms for matching intents without requiring manual script authoring.
Yes, browser automation can safely pull article headlines, product prices, and contact information from public directories. It performs read-only scraping operations to retrieve page information without mutating the underlying page state.
Web scraping with this approach is strictly read-only and does not support form fills, clicks, or submissions. You should use dedicated browser automation skills instead if you need to interact with or mutate page state.
Manual web scraping breaks because writing and maintaining custom selectors for each new site is slow and brittle. Automating extraction with pre-built browser primitives validates scraping logic instantly and eliminates wasted engineering time.
The best way to prototype a scraping flow is to use automated browser primitives on a new intent. This returns JSON results instantly, letting you validate extraction logic without writing custom selectors or scripts.
Data extraction returns JSON results in approximately 200ms for matching intents. Subsequent calls route to codified browser-skills, optimizing the extraction process after the initial prototype flow validates the logic.
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