# Smart Web Scraper - No APIs (`johandev_04/smart-data-extractor`) Actor

Extract structured data (titles, prices, emails, links) from any website using pure Python. Zero API keys, fast, and enterprise-grade.

- **URL**: https://apify.com/johandev_04/smart-data-extractor.md
- **Developed by:** [Johan Ortiz](https://apify.com/johandev_04) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.50 / 1,000 data extracteds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

<h1>Smart Data Extractor (No APIs)</h1>

<p>Extract structured data from any website using <strong>pure Python and statistical analysis</strong>. No external APIs, no API keys, no hidden costs. Built for enterprise pipelines that require high reliability, fast execution, and zero dependencies.</p>

<h2>🛡️ Why choose this Actor? (No APIs, 100% Local)</h2>
<p>Most data extractors rely on expensive third-party APIs (like OpenAI or ScrapingBee) that crash when they hit rate limits or run out of credits. This Actor is built to survive:</p>
<ul>
    <li><strong>Zero External Dependencies:</strong> No API keys required. Runs entirely on Apify's infrastructure.</li>
    <li><strong>Fast & Lightweight:</strong> Extracts data in seconds using Python's <code>BeautifulSoup</code> and <code>Regex</code>.</li>
    <li><strong>State Persistence:</strong> Uses <code>Actor.use_state()</code> to resume exactly where it left off if interrupted.</li>
    <li><strong>Anti-Ban Proxies:</strong> Rotates residential proxies to avoid getting blocked.</li>
</ul>

<h2>🚀 Features</h2>
<ul>
    <li><strong>Structured Extraction:</strong> Automatically finds Titles, Meta Descriptions, Prices, Emails, and Main Links.</li>
    <li><strong>Fail-Safe Input:</strong> AI agents that call with empty inputs still get a working default URL.</li>
    <li><strong>Pay-Per-Event:</strong> Only pay for successful extractions. No subscriptions.</li>
</ul>

<h2>📖 How to use</h2>
<ol>
    <li>Go to the <strong>Input</strong> tab.</li>
    <li>Paste your list of URLs in the <code>urls</code> field.</li>
    <li>Click <strong>Start</strong>.</li>
    <li>Download the structured JSON from the <strong>Storage</strong> tab.</li>
</ol>

<h2>📊 Output Data</h2>
<p>Each URL returns a clean JSON object with the extracted data:</p>
<pre><code>{
  "url": "https://en.wikipedia.org/wiki/Web_scraping",
  "title": "Web scraping - Wikipedia",
  "description": "Web scraping is the process of...",
  "pricesFound": [],
  "emailsFound": [],
  "mainLinks": ["https://en.wikipedia.org/wiki/Data_scraping"],
  "extractedAt": "2026-10-20T18:58:00.000Z",
  "status": "SUCCESS"
}</code></pre>

<h2>💡 Use Cases</h2>
<ul>
    <li><strong>E-commerce:</strong> Monitor prices and product descriptions across competitor stores.</li>
    <li><strong>Lead Generation:</strong> Extract emails and contact links from company websites.</li>
    <li><strong>Market Research:</strong> Scrape news articles, blogs, and reports for data analysis.</li>
    <li><strong>AI Agents:</strong> Feed clean, structured data into your LLM pipelines without paying for expensive APIs.</li>
</ul>

# Actor input Schema

## `urls` (type: `array`):

List of website URLs to extract data from.

## `maxItems` (type: `integer`):

Maximum number of URLs to process.

## Actor input object example

```json
{
  "urls": [
    "https://en.wikipedia.org/wiki/Web_scraping"
  ],
  "maxItems": 50
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# 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 = {
    "urls": [
        "https://en.wikipedia.org/wiki/Web_scraping"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("johandev_04/smart-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 = { "urls": ["https://en.wikipedia.org/wiki/Web_scraping"] }

# Run the Actor and wait for it to finish
run = client.actor("johandev_04/smart-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 '{
  "urls": [
    "https://en.wikipedia.org/wiki/Web_scraping"
  ]
}' |
apify call johandev_04/smart-data-extractor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,johandev_04/smart-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/J9Sxzp8oRnyg9QTqr/builds/EmzlzTMM94GxxPvQd/openapi.json