# AI Web Scraper — Structured Data Extraction from Any Website (`oneary/ai-powered-data-extractor`) Actor

Extract structured data from any webpage using AI. Define your schema and the AI identifies relevant content — no selectors or coding needed. Handles products, reviews, contacts, and custom fields.

- **URL**: https://apify.com/oneary/ai-powered-data-extractor.md
- **Developed by:** [Luan M.](https://apify.com/oneary) (community)
- **Categories:** AI
- **Features:** Limited permissions
- **Stats:** 33 total users, 2 monthly users, 97.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $14.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## AI Data Extractor — Smart Structured Web Data Extraction

**Extract any structured data from any webpage using AI-powered heuristics.** Describe what data you want — products, prices, reviews, contacts, or custom fields — and the AI handles parsing, extraction, and formatting automatically.

***

### 🚀 Quick Start

1. **Install dependencies**

```bash
npm install
```

2. **Run locally**

```bash
npm start
```

3. **Or use Apify Cloud**

```bash
npx apify push --force
```

### 📥 Input

- `startUrls` — Array of URLs to extract data from **(required)**
- `extractionPrompt` — Describe what data to extract **(required)**: e.g., "product name, price, rating, description"
- `extractionSchema` — Optional JSON schema to define output field types
- `maxPages` — Max pages to crawl (default: 10)

### 📤 Output

Each dataset item contains extracted fields based on your prompt, plus:

- `sourceUrl` — Source page URL
- `textPreview` — First 300 characters of text content (fallback)

### 🔧 Example Prompts

| Prompt | Extracted Fields |
|--------|-----------------|
| "product name, price, rating, description" | title, price, rating, description |
| "job title, company, location, salary" | title, location, description |
| "hotel name, price, rating, availability" | title, price, rating, availability |

### 📋 Requirements

- Node.js 18+
- Apify account (for cloud deployment)

# Actor input Schema

## `startUrls` (type: `array`):

URLs of webpages to extract data from

## `extractionPrompt` (type: `string`):

Describe what data you want extracted in natural language. Example: 'Extract product name, price, rating, description, and availability status' or 'Extract job title, company, location, salary, and posting date'

## `extractionSchema` (type: `string`):

Optional JSON schema defining the exact output structure.

## `maxPages` (type: `integer`):

Max number of pages to extract from

## `proxyConfiguration` (type: `object`):

Proxy settings

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://example.com/products"
    }
  ],
  "extractionPrompt": "Extract product name, price, rating, description, and availability from each product card. Return as structured JSON with fields: name, price, rating, description, inStock.",
  "maxPages": 10,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "startUrls": [
        {
            "url": "https://example.com/products"
        }
    ],
    "extractionPrompt": "Extract product name, price, rating, description, and availability from each product card. Return as structured JSON with fields: name, price, rating, description, inStock.",
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("oneary/ai-powered-data-extractor").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "startUrls": [{ "url": "https://example.com/products" }],
    "extractionPrompt": "Extract product name, price, rating, description, and availability from each product card. Return as structured JSON with fields: name, price, rating, description, inStock.",
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("oneary/ai-powered-data-extractor").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "startUrls": [
    {
      "url": "https://example.com/products"
    }
  ],
  "extractionPrompt": "Extract product name, price, rating, description, and availability from each product card. Return as structured JSON with fields: name, price, rating, description, inStock.",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call oneary/ai-powered-data-extractor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,oneary/ai-powered-data-extractor"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/61HZkvtMq2QNGGWLU/builds/u6IerDTfOc5rc5mXX/openapi.json