# Flexmls Discovery Parser Spider (`getdataforme/flexmls-discovery-parser-spider`) Actor The Flexmls Discovery Parser Spider is a web scraping tool designed for extracting data from Flexmls, focusing on real estate training programs and market insights.... - **URL**: https://apify.com/getdataforme/flexmls-discovery-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 Discovery Parser Spider ### Introduction The Flexmls Discovery Parser Spider is a powerful web scraping tool designed to extract valuable data from the Flexmls platform. It allows users to gather information on training programs and market insights efficiently, providing a competitive edge in real estate analytics. ### Features - **Keyword-Based Scraping**: Customize searches using specific keywords. - **High Data Quality**: Ensures reliable and accurate data extraction. - **Scalable Performance**: Efficiently handles large volumes of data. - **Flexible Output Formats**: Export results in JSON, CSV, or Excel. - **User-Friendly Configuration**: Easy setup with intuitive input parameters. ### Input Parameters | Parameter | Type | Required | Description | Example | |-------------|---------|----------|-----------------------------------------------------------------------------|------------------------------| | Keywords | array | No | The keywords for the spider. | `["agent academy", "training"]` | | item_limit | integer | No | Maximum items to scrape per actor run. Set to 0 for no limit. | `10` | ### Example Usage #### Input JSON ```json { "Keywords": ["agent academy", "training"], "item_limit": 10 } ``` #### Output JSON ```json [ { "training_image": "https://flexmls.com/wp-content/uploads/2025/11/AA-Preview-Image.png", "training_title": "Auto Assistant+: Faster, Smarter Listing Entry", "description": "Call us:", "link": "https://flexmls.com/flexmls-academy/product-news/auto-assistant-faster-smarter-listing-entry/", "actor_id": "Xih6gsGcUSf7dobGs", "run_id": "ZflbbQHxtD8A17h7l" }, { "training_image": "https://flexmls.com/wp-content/uploads/2026/05/6.10.26-Webinar-Thumbnail.png", "training_title": "Search Smarter: Flexmls Quick Search Tips & Tricks", "description": "", "link": "https://flexmls.com/flexmls-academy/upcoming-webinars/search-smarter-flexmls-quick-search-tips-tricks/", "actor_id": "Xih6gsGcUSf7dobGs", "run_id": "ZflbbQHxtD8A17h7l" }, { "training_image": "https://flexmls.com/wp-content/uploads/2025/01/Fast-Pass-Preview-Image-Stats.png", "training_title": "Become Your Clients' Go-To Market Expert with Flexmls Stats - Flexmls Platform by FBS", "description": "By \n Bye, Additional Work. Hello, Flexmls Sharable Content! It\u2019s time for a Fast Pass: Flexmls content made for your members without additional work on your part. Simply copy, paste, and send the email below to teach your members about where to find market statistics in Flexmls. Time-saving for you—educational for your members! Become Your Clients’ Go-To \u2026 [Link: https://flexmls.com/flexmls-academy/mls-administrators/become-your-clients-go-to-market-expert-with-flexmls-stats/]", "link": "https://flexmls.com/flexmls-academy/mls-administrators/become-your-clients-go-to-market-expert-with-flexmls-stats/", "actor_id": "Xih6gsGcUSf7dobGs", "run_id": "ZflbbQHxtD8A17h7l" } ] ``` ### Use Cases - **Market Research and Analysis**: Gain insights into real estate trends. - **Competitive Intelligence**: Monitor competitor offerings and strategies. - **Price Monitoring**: Track pricing changes in the market. - **Content Aggregation**: Collect and organize training materials. - **Academic Research**: Support studies with comprehensive data. - **Business Automation**: Streamline operations with automated data collection. ### Installation and Usage 1. Search for "Flexmls Discovery 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 JSON array containing objects with the following fields: - `training_image`: URL of the training program image. - `training_title`: Title of the training program. - `description`: Brief description or notes about the program. - `link`: Direct link to the training program page. - `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: [Contact Us](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": [ "agent academy", "training" ], "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-discovery-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-discovery-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-discovery-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/flexmls-discovery-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/Xih6gsGcUSf7dobGs/builds/AHtnpFfpczpxVjFGd/openapi.json