# Pacrg Parser Spider (`getdataforme/pacrg-parser-spider`) Actor

The Pacrg Parser Spider is a robust web scraping tool that extracts detailed information about Pacific Resources Group's team and attorneys, including names, titles, contact details, and images....

- **URL**: https://apify.com/getdataforme/pacrg-parser-spider.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, Automation, E-commerce
- **Stats:** 2 total users, 1 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?

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

***

## README.md

### Pacrg Parser Spider

#### Introduction

The **Pacrg Parser Spider** is a powerful web scraping tool designed to extract detailed information about the Pacific Resources Group team and attorneys. It efficiently gathers data such as names, titles, contact details, and images, providing valuable insights for various applications.

#### Features

- **Comprehensive Data Extraction**: Captures extensive details including names, titles, emails, phone numbers, and image URLs.
- **High-Quality Data**: Ensures reliable and accurate information retrieval from the Pacific Resources Group website.
- **Customizable Item Limit**: Allows users to set a maximum number of items to scrape per run, optimizing performance.
- **User-Friendly Configuration**: Simple setup with clear input parameters for easy customization.
- **Versatile Output Formats**: Supports multiple export formats like JSON, CSV, and Excel for seamless integration.

#### Input Parameters

| Parameter   | Type    | Required | Description                                                                 | Example |
|-------------|---------|----------|-----------------------------------------------------------------------------|---------|
| item\_limit  | integer | No       | Maximum items to scrape per actor run. Set to 0 for no limit.               | `10`    |

#### Example Usage

##### Input JSON

```json
{
  "item_limit": 10
}
```

##### Output JSON

```json
[
  {
    "page_title": "Team - Pacific Resources Group",
    "members": [
      {
        "name": "Joseph Morin",
        "title": "President",
        "phone": "(949)354-5499",
        "email": "joe@pacrg.com",
        "image_url": "https://pacrg.com/wp-content/uploads/2024/06/Joe_Morin-1.png"
      },
      {
        "name": "Jari Appelroth",
        "title": "Vice President Business Development",
        "phone": "(949)354-5498",
        "email": "jari@pacrg.com",
        "image_url": "https://pacrg.com/wp-content/uploads/2024/06/Jari_Appleroth.png"
      }
    ],
    "attorneys": [
      {
        "name": "Darrel C. Menthe",
        "expertise": "Civil Litigation, Writs & Appeals, Bankruptcy, Employment Law",
        "image_url": "https://pacrg.com/wp-content/uploads/2024/06/Image-12.webp"
      }
    ],
    "actor_id": "eJf7aWdfR0nHIluAd",
    "run_id": "NORIcU1AE9qQCeju3"
  }
]
```

#### Use Cases

- **Market Research and Analysis**: Gain insights into team structures and expertise.
- **Competitive Intelligence**: Understand competitor's key personnel and legal advisors.
- **Price Monitoring**: Track changes in service offerings or pricing strategies.
- **Content Aggregation**: Compile comprehensive profiles for industry reports.
- **Academic Research**: Use data for studies on corporate governance or leadership trends.
- **Business Automation**: Integrate with CRM systems to update contact databases.

#### Installation and Usage

1. Search for "Pacrg Parser Spider" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters as needed.
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 JSON array containing objects with fields such as `page_title`, `members`, and `attorneys`. Each member or attorney object includes details like `name`, `title`, `phone`, `email`, and `image_url`.

#### Support Section

### Support

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

- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: [Contact Us](https://getdataforme.com/contact/)

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

# Actor input Schema

## `item_limit` (type: `integer`):

Maximum items to scrape per actor run. Set to 0 for no limit.

## Actor input object example

```json
{
  "item_limit": 10
}
```

# Actor output Schema

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

Scraped data items from 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("getdataforme/pacrg-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/pacrg-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/pacrg-parser-spider --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/pacrg-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/eJf7aWdfR0nHIluAd/builds/5ooU75Bl7IVrRmLMl/openapi.json