# Optionalpha Strategy Info Parser Spider (`getdataforme/optionalpha-strategy-info-parser-spider`) Actor

The Optionalpha Strategy Info Parser Spider extracts detailed options trading strategy data from Option Alpha. It offers comprehensive, high-quality data extraction, customizable inputs, and structured JSON output for easy integration, making it ideal for traders, analysts, and researchers.

- **URL**: https://apify.com/getdataforme/optionalpha-strategy-info-parser-spider.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, Automation, E-commerce
- **Features:** Limited permissions
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $9.00 / 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

## Optionalpha Strategy Info Parser Spider

### Introduction

The Optionalpha Strategy Info Parser Spider is designed to extract detailed information about options trading strategies from Option Alpha. This actor efficiently scrapes data from specified URLs, providing comprehensive insights into various trading strategies, making it an invaluable tool for traders and analysts.

### Features

- **Comprehensive Data Extraction**: Scrapes detailed information about options trading strategies.
- **High Data Quality**: Ensures accurate and up-to-date information from Option Alpha.
- **Efficient Performance**: Quickly processes multiple URLs for fast data retrieval.
- **Customizable Input**: Allows users to specify multiple URLs for targeted scraping.
- **Reliable Output**: Provides structured JSON data for easy integration and analysis.
- **User-Friendly Interface**: Simple configuration and execution through the Apify platform.
- **Versatile Applications**: Suitable for market research, competitive analysis, and more.

### Input Parameters

| Parameter | Type   | Required | Description                              | Example                                                                 |
|-----------|--------|----------|------------------------------------------|-------------------------------------------------------------------------|
| Urls      | Array  | No       | The URLs for the spider to scrape.       | \["https://optionalpha.com/lessons/bull-call-backspread"]                |

### Example Usage

#### Example Input

```json
{
  "Urls": [
    "https://optionalpha.com/lessons/bull-call-backspread",
    "https://optionalpha.com/lessons/bull-call-spread"
  ]
}
```

#### Example Output

```json
[
  {
    "source_url": "https://optionalpha.com/lessons/bull-call-backspread",
    "title": "Bull Call Backspread",
    "description": "A bull call backspread is a multi-leg, risk-defined, bullish strategy, with unlimited profit potential...",
    "meta_description": "A bull call backspread is a multi-leg, risk-defined, bullish strategy, with unlimited profit potential...",
    "breadcrumbs": ["Home", "Education", "Courses", "Bullish Strategies", "Bull Call Backspread"],
    "content": "A bull call backspread is similar to a long call option as far as your outlook on the underlying stock...",
    "transcript": "The text is the output of AI-based and/or outsourced transcribing from the audio and/or video recording...",
    "instructor": {
      "name": "Kirk Du Plessis",
      "role": "Founder",
      "profile_url": "https://optionalpha.com/team/kirk-duplessis"
    },
    "tags": ["Options", "Strategies"],
    "last_updated": "Sep 23, 2022",
    "published_date": "Feb 11, 2021",
    "scraped_date": "2026-04-24",
    "scraped_time": "11:35:27",
    "actor_id": "5ibeZnmzvMvs7wrYQ",
    "run_id": "IPoPdzEzZAWXu0vh5"
  }
]
```

### Use Cases

- **Market Research and Analysis**: Gain insights into trading strategies for better decision-making.
- **Competitive Intelligence**: Monitor and analyze competitor strategies.
- **Price Monitoring**: Track changes in strategy pricing and profitability.
- **Content Aggregation**: Collect and organize educational content on trading strategies.
- **Academic Research**: Use data for studies on financial strategies and market behavior.
- **Business Automation**: Automate data collection for financial analysis and reporting.

### Installation and Usage

1. Search for "Optionalpha Strategy Info Parser Spider" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

### Output Format

The output is a structured JSON array where each object contains:

- `source_url`: The URL of the scraped page.
- `title`: The title of the strategy.
- `description`: A detailed description of the strategy.
- `meta_description`: Meta description for SEO purposes.
- `breadcrumbs`: Navigation path on the website.
- `content`: Full content of the strategy page.
- `transcript`: Transcription of any associated media.
- `instructor`: Information about the instructor.
- `tags`: Relevant tags for categorization.
- `last_updated`, `published_date`, `scraped_date`, `scraped_time`: Date and time metadata.

### Support

For custom/simplified outputs or bug reports, please contact:

- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: <https://getdataforme.com/contact/>

We're here to help you get the most out of this Actor!

# Actor input Schema

## `Urls` (type: `array`):

The urls for the spider.

## Actor input object example

```json
{
  "Urls": [
    "https://optionalpha.com/lessons/bull-call-backspread",
    "https://optionalpha.com/lessons/bull-call-spread",
    "https://optionalpha.com/strategies/bull-call-debit-spread"
  ]
}
```

# 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("getdataforme/optionalpha-strategy-info-parser-spider").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("getdataforme/optionalpha-strategy-info-parser-spider").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 getdataforme/optionalpha-strategy-info-parser-spider --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/optionalpha-strategy-info-parser-spider"
        }
    }
}
```

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/5ibeZnmzvMvs7wrYQ/builds/OQ7ZRd7fuAbrj82rC/openapi.json