# Forevermissed Profile Info Parser Spider (`getdataforme/forevermissed-profile-info-parser-spider`) Actor The Forevermissed Profile Info Parser Spider is a web scraping tool designed for extracting detailed profile information from ForeverMissed. It captures personal details, life events, and memorial links with high accuracy, offering customizable scraping limits and user-friendly configuration.... - **URL**: https://apify.com/getdataforme/forevermissed-profile-info-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, NaN 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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 Profile Info Parser Spider ### Introduction The **Forevermissed Profile Info Parser Spider** is a specialized web scraping tool designed to extract detailed profile information from the ForeverMissed website. This actor efficiently gathers data such as personal details, life events, and memorial links for individuals listed on the platform, providing valuable insights into their profiles. ### Features - **Comprehensive Data Extraction**: Captures essential profile elements including full name, dates of birth and death, and URLs to various sections. - **High-Quality Data**: Ensures reliable and accurate data retrieval from ForeverMissed profiles. - **Customizable Scraping Limits**: Allows users to set a maximum number of items to scrape per run for optimized performance. - **User-Friendly Configuration**: Simple setup with intuitive input parameters for easy customization. - **Versatile Output Formats**: Supports exporting results in JSON, CSV, and Excel formats. ### Input Parameters | Parameter | Type | Required | Description | Example | |---------------|---------|----------|-----------------------------------------------------------------------------|------------------------------------------| | ProductUrls | array | Yes | The product URLs for the spider to scrape. Must be valid HTTP/HTTPS links. | `["https://www.forevermissed.com/greg-robert-clover/about"]` | | item_limit | integer | No | Maximum items to scrape per actor run. Set to 0 for no limit. | `10` | ### Example Usage #### Input JSON ```json { "ProductUrls": [ "https://www.forevermissed.com/greg-robert-clover/about" ], "item_limit": 10 } ```` #### Output JSON ```json [ { "cover_image": "https://photo.forevermissed.com/lst/g/r/greg-robert-clover/p/4879189_1200x630_7a982a.jpg?indexation=allow", "full_name": "Greg Robert Clover", "date_of_birth": "1964-07-17", "date_of_death": "2025-03-21", "about": "See the photos and memories shared by his family and friends", "life_url": "https://www.forevermissed.com/greg-robert-clover/life", "gallery_url": "https://www.forevermissed.com/greg-robert-clover/gallery", "stories_url": "https://www.forevermissed.com/greg-robert-clover/stories", "audio_links": [], "memorial_url": "https://www.forevermissed.com/greg-robert-clover/about", "actor_id": "Ycq5O5p5VjjZA2Nli", "run_id": "jZkduPCsbXP1EfuOR" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather data for demographic studies or market trends. - **Competitive Intelligence**: Monitor competitor profiles and activities on ForeverMissed. - **Price Monitoring**: Track changes in memorial offerings or services. - **Content Aggregation**: Compile comprehensive datasets of profile information. - **Academic Research**: Use the data for sociological or historical research projects. - **Business Automation**: Automate data collection processes for business insights. ### Installation and Usage 1. Search for "Forevermissed Profile Info Parser Spider" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters as per your requirements. 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 the following fields: - `cover_image`: URL of the profile's cover image. - `full_name`: Full name of the individual. - `date_of_birth`: Date of birth. - `date_of_death`: Date of death. - `about`: Brief description from the profile. - `life_url`, `gallery_url`, `stories_url`: URLs to different sections of the profile. - `audio_links`: List of audio links associated with the profile (if any). - `memorial_url`: URL to the memorial page. - `actor_id`: Unique identifier for the actor run. - `run_id`: Unique identifier for the specific execution. ### Error Handling The spider is designed to handle common web scraping errors such as network issues and invalid URLs. If an error occurs, it will be logged in the Apify console for troubleshooting. Users are encouraged to review logs for any anomalies or failures during the run. ### Rate Limiting and Best Practices To ensure optimal performance and avoid being blocked by the target website, adhere to the following best practices: - Respect the `item_limit` parameter to control the number of requests. - Use a reasonable delay between requests if scraping multiple profiles. - Monitor logs for any rate-limiting warnings or errors. ### Limitations and Considerations - The spider is tailored specifically for ForeverMissed.com, so it may not work with other websites without modifications. - Ensure compliance with ForeverMissed's terms of service when using this tool. - Data accuracy depends on the current state of the website; changes in site structure may affect results. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: [GetDataForMe Contact](https://getdataforme.com/contact/) We're here to help you get the most out of this Actor! # Actor input Schema ## `ProductUrls` (type: `array`): The product urls 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 { "ProductUrls": [ "https://www.forevermissed.com/greg-robert-clover/about" ], "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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/forevermissed-profile-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("getdataforme/forevermissed-profile-info-parser-spider").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-profile-info-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/forevermissed-profile-info-parser-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Forevermissed Profile Info Parser Spider", "description": "The Forevermissed Profile Info Parser Spider is a web scraping tool designed for extracting detailed profile information from ForeverMissed. It captures personal details, life events, and memorial links with high accuracy, offering customizable scraping limits and user-friendly configuration....", "version": "0.0", "x-build-id": "M4D6PqSdKT7PPc2Ce" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~forevermissed-profile-info-parser-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-forevermissed-profile-info-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~forevermissed-profile-info-parser-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-forevermissed-profile-info-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~forevermissed-profile-info-parser-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-forevermissed-profile-info-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "ProductUrls": { "title": "Product Urls", "minItems": 1, "type": "array", "description": "The product urls for the spider.", "default": [ "https://www.forevermissed.com/greg-robert-clover/about" ], "items": { "type": "string" } }, "item_limit": { "title": "Item limit", "minimum": 0, "type": "integer", "description": "Maximum items to scrape per actor run. Set to 0 for no limit.", "default": 10 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```