Learning Timeline
Key Insights
Advantages of AI Agents over Traditional Scrapers
AI Agents can understand context like 'dev tool companies' or 'running shoes' without requiring you to manually set CSS selectors or XPath. It automatically finds relevant data based on natural language.
Tips for Data Accuracy
For better results, always specify limitations or filters in your prompt, such as price ranges ('under $150') or specific years ('2024') to narrow the AI's search scope.
Prompts
Extract Startup Directory
Target:
Firecrawl AI Agent
Find all of Y Combinator's winter 2024 dev tool companies and their founders and emails.
Extract E-commerce Catalog
Target:
Firecrawl AI Agent
Get all running shoes from Nike under $150 with ratings. Provide full product catalog with specs and prices.
Extract Academic Dataset
Target:
Firecrawl AI Agent
Find 50 AI research papers from 2024 with citations. Include authors and institutions.
Step by Step
How to Extract Web Data with Firecrawl AI Agent
- Access the Firecrawl platform via your dashboard or API interface.
- Specify the target URL or web directory you want to analyze (e.g., Nike, Y Combinator, or an academic portal).
- Enter your instruction prompt into the AI Agent input field based on your specific data requirements.
- Detail the data attributes that need to be extracted (such as price, email, rating, or citations).
- Click the 'Run' or 'Extract' button to start the AI-powered scraping process.
- Review the output returned in a structured data format (JSON or CSV) containing the complete specifications.
