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AI Smart Scraper — Extract Structured Data from Any Website

Extract structured JSON data from any webpage using plain English prompts. No CSS selectors, no XPath, no coding required. Just describe the data you want, and AI does the rest.

✨ Key Features

• Natural language extraction — Describe what you want: "Get all product names, prices, and ratings"
• Any website — Works on news sites, e-commerce, directories, job boards, real estate listings, and more
• Structured JSON output — Clean, machine-readable data ready for your pipeline
• Zero configuration — No CSS selectors or page structure knowledge needed
• Custom schemas — Optionally define exact output structure with JSON Schema
• Batch processing — Process multiple URLs in a single run
• Built-in AI — Powered by Google Gemini 2.5 Flash. No API keys needed

🎯 Use Cases

📥 Input

*Provide either url or urls (or both).

📤 Output

Each result in the dataset contains:

{
"url":"https://example.com/products",
"data":[
{
"name":"Wireless Headphones",
"price":79.99,
"rating":4.5,
"reviews":2847
}
],
"metadata":{
"tokensUsed":1250,
"model":"google/gemini-2.5-flash",
"extractedAt":"2026-02-24T15:37:46.831Z",
"contentLength":15420,
"status":"success"
}
}

💡 Examples

Example 1: Extract top articles from Hacker News

Input:

{
"url":"https://news.ycombinator.com",
"prompt":"Extract the top 5 articles with their title, score, and comment count"
}

Output:

{
"data":[
{"title":"Show HN: I built a new tool","score":285,"comment_count":63},
{"title":"Why AI agents need better tools","score":141,"comment_count":45}
]
}

Example 2: Scrape product listings with custom schema

Input:

{
"url":"https://example-shop.com/laptops",
"prompt":"Extract all laptop listings with name, price, specs, and availability",
"schema":{
"type":"array",
"items":{
"type":"object",
"properties":{
"name":{"type":"string"},
"price":{"type":"number"},
"cpu":{"type":"string"},
"ram_gb":{"type":"integer"},
"in_stock":{"type":"boolean"}
}
}
}
}

Example 3: Batch URL processing

Input:

{
"urls":[
"https://company-a.com/about",
"https://company-b.com/about",
"https://company-c.com/about"
],
"prompt":"Extract the company name, founding year, number of employees, and headquarters location"
}

💰 Pricing

This Actor uses Pay Per Event pricing:

Cost example: Extracting data from 100 product pages = $1.00 + platform usage (~$0.40) = ~$1.40 total

No monthly fees. No subscriptions. Pay only for what you use.

🔌 Integrations

This Actor works with:

• Apify API — Call via REST API from any language
• Apify MCP Server — Use directly from AI agents (Claude, ChatGPT, etc.)
• Zapier / Make — Automate workflows with no-code tools
• Python / JavaScript SDK — Native Apify client libraries

🤔 FAQ

Q: Do I need an API key? A: No! The Actor uses a built-in AI model (Google Gemini). Optionally, you can provide your own OpenAI API key for GPT-4o-mini.

Q: What websites does it work on? A: Any publicly accessible webpage. It uses Cheerio for fast HTML parsing, so JavaScript-heavy SPAs may need additional configuration.

Q: How accurate is the extraction? A: Powered by Gemini 2.5 Flash, extraction accuracy is typically 90-95% for well-structured pages. Complex or unusual layouts may require more specific prompts.

Q: Can I use this for large-scale scraping? A: Yes! Use the urls parameter for batch processing and maxPages to control scope. For very large jobs, consider running multiple Actor instances.

📋 Changelog

• v0.1 — Initial release with Gemini 2.5 Flash, Cheerio crawler, PPE pricing