# SOY Smart Web Data Extractor (`xavier.hc/soy-smart-data-extractor`) Actor

Extract structured data from public web pages, including titles, descriptions, emails, phone numbers, social links, text previews, status codes, and URLs. Useful for lead research, directory building, monitoring, and automation workflows.

- **URL**: https://apify.com/xavier.hc/soy-smart-data-extractor.md
- **Developed by:** [Xavier Hernandez](https://apify.com/xavier.hc) (community)
- **Categories:** Automation, Developer tools, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 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?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## SOY Smart Web Data Extractor

Extract clean, structured data from public web pages in seconds.

SOY Smart Web Data Extractor accepts a list of public URLs and returns useful structured information that can be used in lead research, directory building, monitoring, enrichment, and automation workflows.

### What it extracts

For each URL, the Actor can return:

- Page URL
- HTTP status code
- Page title
- Meta description
- Publicly visible email addresses
- Publicly visible phone numbers
- Social profile links
- JSON-LD structured data
- Text preview
- Extraction timestamp
- Error information when a page cannot be processed

### Example input

```json
{
  "urls": [
    "https://example.com"
  ]
}
```

### Example output

```json
{
  "url": "https://example.com/",
  "status": 200,
  "title": "Example Domain",
  "description": null,
  "emails": [],
  "phones": [],
  "socials": [],
  "jsonLd": [],
  "textPreview": "Example Domain...",
  "extractedAt": "2026-08-19T03:42:10Z"
}
```

### Common use cases

- Lead and company research
- Business directory creation
- Website monitoring
- Contact-data enrichment
- SEO and content research
- n8n, Make, Zapier, and custom API workflows
- AI-agent data collection pipelines

### How to use

1. Add one or more public URLs to the **URLs** input.
2. Start the Actor.
3. Open the **Output** dataset.
4. Export the results as JSON, CSV, Excel, or another supported format, or consume them through the Apify API.

### Pricing

Pay per result. You only pay for results generated by the Actor.

### Notes

This Actor is intended for public web pages. Make sure your use of collected data complies with applicable laws, website terms, and your own data-processing obligations.

### Support

If you encounter an issue, use the **Issues** tab on this Actor's Apify Store page and include the URL type, expected result, and a short description of the problem.

# Actor input Schema

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

Public URLs you are allowed to process.

## Actor input object example

```json
{
  "urls": []
}
```

# Actor output Schema

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

Structured extraction results stored in the default dataset.

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("xavier.hc/soy-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("xavier.hc/soy-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 '{}' |
apify call xavier.hc/soy-smart-data-extractor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,xavier.hc/soy-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/bLHdPNTd2vsJgLXk5/builds/2JNZOpDV5xQxWRGOe/openapi.json