# Forevermissed Discovery Extractor (`getdataforme/forevermissed-discovery-extractor`) Actor

The Forevermissed Discovery Parser Spider is a web scraping tool for extracting memorial information from ForeverMissed. It offers keyword-based searches, high data quality, and flexible item limits....

- **URL**: https://apify.com/getdataforme/forevermissed-discovery-extractor.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/platform/actors/running/actors-in-store#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

***

## Forevermissed Discovery Parser Spider

### Introduction

The **Forevermissed Discovery Parser Spider** is a powerful web scraping tool designed to extract detailed memorial information from the ForeverMissed website. It allows users to efficiently gather data based on specific keywords, providing valuable insights into memorialized individuals and their commemorations.

### Features

- **Keyword-Based Scraping**: Customize searches with specific keywords to target relevant memorials.
- **High Data Quality**: Ensures accurate and reliable extraction of memorial details.
- **Flexible Item Limit**: Control the number of items scraped per run for efficient data management.
- **Comprehensive Output**: Captures essential fields such as full name, image URL, and description.
- **User-Friendly Configuration**: Simple setup with intuitive input parameters.

### Input Parameters

| Parameter   | Type     | Required | Description                                                                 | Example                  |
|-------------|----------|----------|-----------------------------------------------------------------------------|--------------------------|
| Keywords    | array    | No       | The keywords for the spider.                                                | `["Love", "help"]`       |
| item\_limit  | integer  | No       | Maximum items to scrape per actor run. Set to 0 for no limit.               | `10`                     |

### Example Usage

#### Input JSON

```json
{
  "Keywords": ["Love", "help"],
  "item_limit": 5
}
```

#### Output JSON

```json
[
  {
    "keyword": "help",
    "full_name": "Kenneth Wade Phelps",
    "image_url": "https://www.forevermissed.com/assets/white-label/forevermissed/images/no_img.png?rel=1779788725322",
    "about_link": "https://www.forevermissed.com/kenneth-wade-phelpsjr/about",
    "creator_name": "Joyce Stansbury",
    "created_date": "March 20, 2026",
    "description": "This memorial website was created in memory of our loved one, Kenneth Phelps. We will remember him forever....",
    "actor_id": "PLJypnoVwziuyhcmV",
    "run_id": "W9YIa6X1twleoNTbC"
  },
  {
    "keyword": "help",
    "full_name": "Kevin Wayne Phelps",
    "image_url": "https://photo.forevermissed.com/lst/k/e/kevin-wayne-phelps/p/4507868_600x400_bb01b1.jpg",
    "about_link": "https://www.forevermissed.com/kevin-wayne-phelps/about",
    "creator_name": "Tony Baker",
    "created_date": "June 6, 2025",
    "description": "This memorial website was created in memory of our loved one, Kevin Phelps. We will remember him forever....",
    "actor_id": "PLJypnoVwziuyhcmV",
    "run_id": "W9YIa6X1twleoNTbC"
  },
  {
    "keyword": "help",
    "full_name": "ellen ann phelps",
    "image_url": "https://www.forevermissed.com/assets/white-label/forevermissed/images/no_img.png?rel=1779788725322",
    "about_link": "https://www.forevermissed.com/ellen-ann-phelps/about",
    "creator_name": "Wyndi Doss",
    "created_date": "February 27, 2025",
    "description": "This memorial website was created in memory of our loved one, ellen phelps. We will remember her forever....",
    "actor_id": "PLJypnoVwziuyhcmV",
    "run_id": "W9YIa6X1twleoNTbC"
  }
]
```

### Use Cases

- **Market Research and Analysis**: Gather data for demographic studies or market insights.
- **Competitive Intelligence**: Monitor competitor activities related to memorial services.
- **Price Monitoring**: Track pricing trends in memorial products or services.
- **Content Aggregation**: Compile comprehensive datasets for analysis or reporting.
- **Academic Research**: Support research projects focused on social and cultural studies.
- **Business Automation**: Automate data collection processes for efficiency.

### Installation and Usage

1. Search for "Forevermissed Discovery 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 where each object contains:

- `keyword`: The keyword used for scraping.
- `full_name`: Full name of the memorialized individual.
- `image_url`: URL to the image associated with the memorial.
- `about_link`: Link to the detailed about page on ForeverMissed.
- `creator_name`: Name of the person who created the memorial.
- `created_date`: Date when the memorial was created.
- `description`: Brief description of the memorial.
- `actor_id`: Unique identifier for the actor run.
- `run_id`: Unique identifier for the specific run.

### Support

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

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

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

# Actor input Schema

## `Keywords` (type: `array`):

The keywords for the spider.

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

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

## Actor input object example

```json
{
  "Keywords": [
    "Love",
    "help",
    "trust"
  ],
  "item_limit": 10
}
```

# 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/forevermissed-discovery-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("getdataforme/forevermissed-discovery-extractor").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).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/forevermissed-discovery-extractor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=getdataforme/forevermissed-discovery-extractor",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/8CZC8Iq0fCjjkIe2U/builds/ERJW2I9Q7Zl57m7Jf/openapi.json