# Eclinical Bloginfo Spider (`getdataforme/eclinical-bloginfo-spider`) Actor The Eclinical Bloginfo Spider is a web scraping tool designed for extracting detailed information from eClinicalWorks blogs, including titles, dates, authors, and images. It offers customizable URL input, flexible item limits, and outputs data in JSON format.... - **URL**: https://apify.com/getdataforme/eclinical-bloginfo-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Automation, Lead generation, Other - **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 *** ## Eclinical Bloginfo Spider ### Introduction The **Eclinical Bloginfo Spider** is a powerful web scraping tool designed to extract detailed information from the eClinicalWorks blog. It efficiently gathers data such as blog titles, publication dates, authors, and related images, providing comprehensive insights into behavioral health topics. ### Features - **Comprehensive Data Extraction**: Captures essential details like blog titles, author names, and images. - **Customizable URL Input**: Allows users to specify multiple URLs for targeted scraping. - **Flexible Item Limit**: Users can set a maximum number of items to scrape per run. - **High-Quality Output**: Ensures reliable and structured data output in JSON format. - **User-Friendly Configuration**: Simple setup with clear input parameters. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|---------|----------|-----------------------------------------------------------------------------|----------------------------------------------| | Urls | array | Yes | The URLs for the spider to scrape. | `["https://www.eclinicalworks.com/blog/certified-community-behavioral-health-clinics/"]` | | item\_limit| integer | No | Maximum items to scrape per actor run. Set to 0 for no limit. | `10` | ### Example Usage #### Input JSON ```json { "Urls": [ "https://www.eclinicalworks.com/blog/certified-community-behavioral-health-clinics/" ], "item_limit": 10 } ``` #### Output JSON ```json [ { "Blog Title": "Certified Community Behavioral Health Clinics: Supporting Success End to End", "Published Date": "May 8, 2026", "Time Duration to Read": "4.5 minute read", "Author Name": "Soumya Lanka", "Author Image": "https://www.eclinicalworks.com/wp-content/uploads/2026/05/Soumya-Lanka-150x150.jpeg", "Blog CoverImage": "https://www.eclinicalworks.com/wp-content/uploads/2026/05/eCW-blog_CCBHC-1024x575.png", "Blog Details": "...", "Recent Posts": [ { "title": "Modernizing Healthcare with AI-Powered Ambient Listening", "date": "21 May 2026", "url": "https://www.eclinicalworks.com/blog/modernizing-healthcare-with-ai-powered-ambient-listening/", "image": "https://www.eclinicalworks.com/wp-content/uploads/2026/05/eCW-blog_Sunoh-for-FQHCs-150x150.png" }, ... ], "Tags": [ "behavioral health", "CCBHC", "certified community behavioral health clinics", "clinical documentation", "mental health" ] } ] ``` ### Use Cases - **Market Research and Analysis**: Gain insights into industry trends and topics. - **Competitive Intelligence**: Monitor competitor content strategies. - **Content Aggregation**: Compile relevant blog posts for analysis or reporting. - **Academic Research**: Source data for studies on behavioral health topics. - **Business Automation**: Automate the collection of industry-related information. ### Installation and Usage 1. Search for "Eclinical Bloginfo 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 structured in JSON format, containing key fields such as: - **Blog Title**: The title of the blog post. - **Published Date**: When the blog was published. - **Author Name** and **Image**: Information about the author. - **Blog Cover Image**: URL to the cover image of the blog. - **Blog Details**: Full text content of the blog post. - **Recent Posts**: A list of recent posts with titles, dates, URLs, and images. - **Tags**: Relevant tags associated with the blog. ### 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 ## `Urls` (type: `array`): The 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 { "Urls": [ "https://www.eclinicalworks.com/blog/certified-community-behavioral-health-clinics/" ], "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/eclinical-bloginfo-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/eclinical-bloginfo-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/eclinical-bloginfo-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/eclinical-bloginfo-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/nY3p8zZRgxqtiq6ae/builds/Arvc4qoMu5u8zKRGv/openapi.json