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Scrape

Extract text and structured data from web pages using browser automation.

Updated Jun 4, 2026
Search Tags:#data extraction#browser automation#data analysis#web scraping#market research
One-click install
npx skills add https://github.com/aporto-tech/aporto-agent-skills --skill scrape-aporto-tech
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Scrape
Source: https://github.com/aporto-tech/aporto-agent-skills/tree/main/skills/gstack/scrape
Command: npx skills add https://github.com/aporto-tech/aporto-agent-skills --skill scrape-aporto-tech

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires browser_automation, and includes scripts (resource) components.

What problem does it solve?

This Skill streamlines the process of extracting data from web pages, eliminating the need for manual data entry and reducing the time spent on data collection.

Core Features & Use Cases

  • Data Extraction: Extract text and structured data from web pages with high accuracy.
  • Prototype Flow: Initial calls prototype the flow using $B primitives and return JSON.
  • Speed: Subsequent calls route to a codified browser-skill, returning results in approximately 200ms.
  • Use Case: When you need to gather information from a web page quickly and efficiently, such as for market research or data analysis.

Quick Start

Run the 'scrape' skill to extract data from the specified web page.

Frequently Asked Questions about Scrape

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract data from web pages for market research?▼

Web scraping extracts data from web pages for market research using browser automation to handle both simple and complex data extraction scenarios. It eliminates manual data entry and returns structured data accurately.

Can I use browser automation for structured data extraction?▼

Browser automation supports structured data extraction by navigating web pages and capturing text with high accuracy. It handles complex data extraction scenarios, making it ideal for data collection tasks like market research and analysis.

How do I automate web scraping to collect data quickly?▼

To automate web scraping, run the extraction skill to prototype the flow and return JSON data. Subsequent calls route to a codified browser skill, returning extracted results in approximately 200ms for rapid data collection.

Do I need browser automation capabilities for web scraping?▼

Browser automation capabilities are required for web scraping because the extraction process relies on browser interaction to navigate pages and handle both simple and complex data collection scenarios accurately.

What is the best way to scrape web pages for data analysis?▼

The best way to scrape web pages for data analysis is using browser automation techniques that prototype extraction flows and return JSON. This approach ensures high accuracy and speeds up subsequent extractions to around 200ms.

Why is my web scraping returning unstructured data?▼

Web scraping returns unstructured data when extraction flows are not properly codified. By prototyping the flow using primitives to return JSON and routing subsequent calls to a browser skill, data extraction maintains high accuracy and structure.

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