Web Scraping
Extracts content from any URL using five APIs: Scrapegraph for NL-guided scraping, Olostep for bulk jobs, Riveter for schema-based output, Brand.dev for bran...
npx goose-skills installDescription
Extracts content from any URL using five APIs: Scrapegraph for NL-guided scraping, Olostep for bulk jobs, Riveter for schema-based output, Brand.dev for brand assets, and Notte for browser automation.
What this skill does
- 1Extracts structured data from any web page using natural language prompts via Scrapegraph SmartScraper.
- 2Handles JS-rendered SPAs, paginated pages, and bot-protected sites with stealth mode and render options.
- 3Supports batch and async crawling of entire sites with URL discovery, content extraction, and status polling.
- 4Provides schema-enforced extraction via Riveter and browser automation for multi-step interactions via Notte.
- 5Fetches brand logos, colors, fonts, and design systems for any domain via Brand.dev.
When to use
- You need to pull structured data from a web page without writing custom scraping code.
- You're crawling a competitor's site to extract pricing, features, or leadership team data.
- You need to automate browser interactions on a page with CAPTCHAs or login flows before scraping.
Tools used
Best for
Format
Frequently asked questions
What is Web Scraping?
Web Scraping is a Claude Code skill for sourcing by GooseWorks AI. Extracts content from any URL using five APIs: Scrapegraph for NL-guided scraping, Olostep for bulk jobs, Riveter for schema-based output, Brand.dev for bran...
When should I use Web Scraping?
You need to pull structured data from a web page without writing custom scraping code. You're crawling a competitor's site to extract pricing, features, or leadership team data.
How do I install Web Scraping?
Run the install command (npx goose-skills install). Once the skill is in place, Claude Code loads it automatically whenever a task matches what it does.
Is Web Scraping free to use?
The author distributes it as MIT, but the repository has no LICENSE file. The source is public on GitHub (gooseworks-ai/goose-skills).