# Flexmls Training Info Parser Spider (`getdataforme/flexmls-training-info-parser-spider`) Actor The Flexmls Training Info Parser Spider is a web scraping tool designed for extracting detailed profile information from ForeverMissed.com, capturing personal details, life events, and memorial links.... - **URL**: https://apify.com/getdataforme/flexmls-training-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 *** ## Flexmls Training Info Parser Spider ### Introduction The Flexmls Training Info Parser Spider is a powerful web scraping tool designed to extract detailed profile information from ForeverMissed.com. This actor efficiently gathers data such as personal details, life events, and memorial links, providing valuable insights for various applications. ### Features - **Comprehensive Data Extraction**: Captures extensive profile information including images, biographical data, and related URLs. - **High-Quality Data**: Ensures reliable and accurate data collection from ForeverMissed.com profiles. - **Customizable Limits**: Allows users to set item limits per run for tailored data extraction needs. - **User-Friendly Configuration**: Simple setup with clear input parameters for easy customization. - **Versatile Output Formats**: Supports multiple export formats like JSON, CSV, and Excel. ### Input Parameters | Parameter | Type | Required | Description | Example | |---------------|--------|----------|-----------------------------------------------------------------------------|----------------------------------------------| | ProductUrls | array | Yes | The product URLs for the spider. | `["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": "NY8Ks47uUiXVyx1iB", "run_id": "KKjKNz8gg0KHsHUgq" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather data for market insights and trends. - **Competitive Intelligence**: Monitor competitor profiles and activities. - **Price Monitoring**: Track changes in memorial offerings or related services. - **Content Aggregation**: Compile comprehensive datasets for analysis. - **Academic Research**: Support studies on digital memorials and online communities. - **Business Automation**: Automate data collection processes for efficiency. ### Installation and Usage 1. Search for "Flexmls Training Info 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 `cover_image`, `full_name`, `date_of_birth`, `date_of_death`, `about`, `life_url`, `gallery_url`, `stories_url`, `audio_links`, `memorial_url`, `actor_id`, and `run_id`. Each field provides specific information about the profile being scraped. ### Error Handling The actor is designed to handle common web scraping errors such as network issues, invalid URLs, or changes in website structure. If an error occurs, it will be logged for review, allowing users to adjust configurations accordingly. ### Rate Limiting and Best Practices To avoid overloading the target server, adhere to polite scraping practices by setting reasonable item limits and respecting any rate limits specified by ForeverMissed.com. Ensure compliance with their terms of service. ### Limitations and Considerations - The actor is specifically tailored for ForeverMissed.com profiles. - Changes in website structure may require updates to the spider configuration. - Ensure that all URLs provided are valid and accessible. ### 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 ## `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/flexmls-training-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/flexmls-training-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/flexmls-training-info-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/flexmls-training-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 ` 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/NY8Ks47uUiXVyx1iB/builds/ch16dDreiLFVYG0Km/openapi.json