# Therapistaid Details Spider (`getdataforme/therapistaid-details-spider`) Actor This Apify actor scrapes comprehensive therapy worksheet details from TherapistAid, including titles, descriptions, images, download links, and related resources.... - **URL**: https://apify.com/getdataforme/therapistaid-details-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 ### Description This Apify actor scrapes comprehensive therapy worksheet details from TherapistAid, including titles, descriptions, images, download links, and related resources.... --- ## Therapistaid Details Spider ### Introduction The Therapistaid Details Spider is a powerful Apify Actor designed to scrape detailed information from TherapistAid therapy worksheets. It extracts comprehensive data including titles, descriptions, images, download links, and related resources, enabling efficient data collection for educational, research, and therapeutic purposes. This tool streamlines the process of gathering high-quality mental health resources, saving time and effort for professionals and researchers alike. ### Features - **Comprehensive Data Extraction**: Scrapes full worksheet details, including descriptions, preview images, and download links. - **Flexible URL Input**: Accepts multiple URLs for batch processing, allowing targeted or broad data collection. - **High-Quality Output**: Provides structured JSON data with all relevant fields for easy integration and analysis. - **Reliable Performance**: Built on Apify's robust infrastructure, ensuring consistent and error-free scraping. - **Therapy-Focused Insights**: Tailored for mental health resources, capturing language, format, and related worksheets. - **Scalable and Efficient**: Handles multiple pages quickly, with minimal setup required. - **Export-Ready**: Outputs in JSON format, compatible with various tools for further processing. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | Urls | array | No | A list of URLs to scrape from TherapistAid. Each URL should point to a therapy worksheet page. At least one URL is required for the actor to run. | ["https://www.therapistaid.com/therapy-worksheet/behavior-chain-analysis"] | ### Example Usage To run the Therapistaid Details Spider, provide input parameters in JSON format. Here's an example: ```json { "Urls": [ "https://www.therapistaid.com/therapy-worksheet/behavior-chain-analysis" ] } ```` The actor will output a JSON array of objects, each containing detailed information about the scraped worksheet. Example output: ```json [ { "Worksheet Title": "Behavior Chain Analysis", "Full Description": "Behavior chain analysis is a tool used in dialectical behavior therapy (DBT) to help people understand why they acted a certain way. Rather than focusing only on a problem behavior, your clients will analyze what happened before the behavior and how these events are connected. By looking at each preceding step and identifying patterns, a person can see where things went wrong and what they can do differently in the future. Our Behavior Chain Analysis: DBT skill worksheet includes psychoeducation about how to complete the technique effectively and a fill-in portion for practice. The fill-in portion may be printed multiple times to address more instances of a problem behavior. After completing a chain analysis with your client, help them spot patterns and identify alternative behaviors and coping skills that may break the chain. Oftentimes, it\u2019s easier to make changes earlier in the chain of events, rather than waiting until the breaking point. Additionally, you may choose to continue the chain after the problem behavior to explore consequences. This can motivate clients who are ambivalent about making changes.", "Preview Image URL": "https://www.therapistaid.com/images/content/worksheet/behavior-chain-analysis/social.png", "Detail URL": "https://www.therapistaid.com/therapy-worksheet/behavior-chain-analysis", "Language": "English", "Download Format": "PDF", "PDF Download Link": "https://www.therapistaid.com/therapy-worksheet/behavior-chain-analysis", "Related Worksheets": [ "https://www.therapistaid.com/therapy-worksheets", "https://www.therapistaid.com/therapy-worksheet/dbt-improve", "https://www.therapistaid.com/therapy-worksheet/wise-mind" ], "actor_id": "OQFEDVOqoGmieoqfH", "run_id": "gFlEHndZXuCXLaLfE" } ] ``` ### Use Cases - **Mental Health Research**: Collect and analyze therapy worksheet data for academic studies on DBT and other therapeutic techniques. - **Educational Resource Aggregation**: Build a database of printable worksheets for therapists and educators to share with clients. - **Content Curation**: Automate the gathering of related resources to create comprehensive guides or toolkits. - **Therapy Practice Optimization**: Identify and download worksheets tailored to specific client needs for personalized sessions. - **Market Analysis for Publishers**: Monitor available therapy resources to inform content creation or partnerships. - **Training Program Development**: Compile worksheets for workshops or online courses in psychology and counseling. ### Installation and Usage 1. Search for "Therapistaid Details 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 actor outputs a JSON array of objects, each representing a scraped worksheet. Key fields include: - **Worksheet Title**: The name of the worksheet. - **Full Description**: Detailed explanation of the worksheet's purpose and usage. - **Preview Image URL**: Link to a preview image. - **Detail URL**: Direct link to the worksheet page. - **Language**: The language of the content (e.g., English). - **Download Format**: File type available for download (e.g., PDF). - **PDF Download Link**: URL to download the PDF. - **Related Worksheets**: Array of URLs to similar resources. - **actor\_id** and **run\_id**: Metadata for tracking the Apify run. This structured format ensures easy parsing and integration into databases or applications. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: 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. ## Actor input object example ```json { "Urls": [ "https://www.therapistaid.com/therapy-worksheet/behavior-chain-analysis" ] } ``` # 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/therapistaid-details-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/therapistaid-details-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/therapistaid-details-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/therapistaid-details-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Therapistaid Details Spider", "description": "This Apify actor scrapes comprehensive therapy worksheet details from TherapistAid, including titles, descriptions, images, download links, and related resources....", "version": "0.0", "x-build-id": "UC1RlB3dXsb6t6R3E" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~therapistaid-details-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-therapistaid-details-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~therapistaid-details-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-therapistaid-details-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~therapistaid-details-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-therapistaid-details-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "Urls": { "title": "Urls", "minItems": 1, "type": "array", "description": "The urls for the spider.", "default": [ "https://www.therapistaid.com/therapy-worksheet/behavior-chain-analysis" ], "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```