scrapecraft
🥇GoldScrapecraft is an AI-driven web scraping editor that allows users to effortlessly build, test, and deploy web scrapers using natural language. With its visual workflow builder, it simplifies data extraction tasks for various applications.
609960Updated Today
Intermediate15 minutes to implementdevelopment
Quick InstallView Source
claude install ScrapeGraphAI/scrapecraftWorks with:
ChatGPTGitHub Copilot
Overview
About This Skill
https://github.com/ScrapeGraphAI/scrapecraft
Use Cases
Extracting detailed product information from multiple e-commerce platforms to analyze pricing trends.
Gathering competitive intelligence by scraping data from competitor websites for market analysis.
Automating the collection of data for market research surveys by scraping relevant online sources.
Building custom scrapers to monitor changes in website content for alerts on price drops or new product launches.
Best For
GrowthRevOps
Tags
Setup & Installation
Quick Install
Terminal
claude install ScrapeGraphAI/scrapecraftAlternative Install (Git Clone)
git clone https://github.com/ScrapeGraphAI/scrapecraftRequirements
- Claude Code or compatible AI agent
- Works with: ChatGPT, GitHub Copilot
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
Prompt Template
Help me create a web scraper for [WEBSITE] that extracts [DATA] in the [INDUSTRY] sector. I want to use Scrapecraft's visual workflow builder to simplify the process.
Example Output
### Web Scraper for E-commerce Product Data **Website:** www.example-ecommerce.com **Data to Extract:** Product Name, Price, Availability 1. **Navigate to the Product Page:** Start by identifying the product page URL structure. 2. **Set Up Data Fields:** Use Scrapecraft to create fields for Product Name, Price, and Availability. 3. **Test the Scraper:** Run the scraper to ensure it captures the correct data. 4. **Deploy the Scraper:** Once satisfied with the results, deploy the scraper to run on a schedule for regular data updates.
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