# Teacherpayteacher Profile Scraper (`getdataforme/teacherpayteacher-profile-scraper`) Actor The Teacherpayteacher Profile Scraper is an Apify Actor that extracts comprehensive product data from Teachers Pay Teachers profiles, including titles, prices, ratings, and seller details.... - **URL**: https://apify.com/getdataforme/teacherpayteacher-profile-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Automation, Lead generation, Other - **Stats:** 3 total users, 0 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/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 ## Teacherpayteacher Profile Scraper ### Introduction The Teacherpayteacher Profile Scraper is a powerful Apify Actor designed to extract detailed product information from Teachers Pay Teachers profiles. It automates the collection of data such as titles, descriptions, prices, ratings, seller details, and more, enabling efficient data gathering for educational resources. This tool is ideal for educators, researchers, and businesses seeking to analyze or aggregate content from this popular platform. ### Features - **Comprehensive Data Extraction**: Scrapes key product details including titles, descriptions, pricing, ratings, seller information, and file metadata. - **High Reliability**: Built on PlaywrightCrawler for robust handling of dynamic web content and anti-bot measures. - **Customizable Crawling**: Supports multiple start URLs and configurable request limits to tailor extractions to your needs. - **Structured Output**: Delivers clean, JSON-formatted data ready for integration into databases, spreadsheets, or analytics tools. - **Performance Optimized**: Efficiently processes requests with minimal overhead, supporting large-scale data collection. - **Error-Resilient**: Includes built-in retry mechanisms and logging for smooth operation. - **Apify Integration**: Seamlessly runs on the Apify platform with easy deployment and monitoring. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | startUrls | array | Yes | An array of URLs to start the scraping process. Each URL should point to a Teachers Pay Teachers product page. | `[{"url": "https://www.teacherspayteachers.com/Product/How-to-Write-a-Paragraph-Step-by-Step-2nd-3rd-Grade-Writing-Graphic-Organizers-1284713"}]` | | maxRequestsPerCrawl | integer | No | The maximum number of requests the crawler can make during a single run. Helps control costs and avoid rate limits. | `100` | ### Example Usage #### Input JSON ```json { "startUrls": [ { "url": "https://www.teacherspayteachers.com/Product/How-to-Write-a-Paragraph-Step-by-Step-2nd-3rd-Grade-Writing-Graphic-Organizers-1284713" } ], "maxRequestsPerCrawl": 50 } ```` #### Output JSON ```json [ { "productId": "1284713", "title": "How to Write a Paragraph: Step-by-Step 2nd & 3rd Grade Writing Graphic Organizers", "description": "This resource provides step-by-step guidance for teaching paragraph writing to 2nd and 3rd graders, including graphic organizers.", "shortDescription": "Step-by-step paragraph writing guide with graphic organizers for young learners.", "price": 4.99, "currency": "USD", "rating": 4.5, "ratingCount": 120, "seller": { "name": "Peggy Means - Primary Flourish", "storeUrl": "https://www.teacherspayteachers.com/store/peggy-means-primary-flourish" }, "images": [ "https://example.com/image1.jpg" ], "thumbnailImages": [], "grades": ["2nd Grade", "3rd Grade"], "subjects": ["Writing"], "resourceTypes": ["Graphic Organizers"], "whatsIncluded": ["PDF Files"], "skills": ["Paragraph Structure"], "fileSize": "57.06 MB", "postDate": "2014-06-20", "url": "https://www.teacherspayteachers.com/Product/How-to-Write-a-Paragraph-Step-by-Step-2nd-3rd-Grade-Writing-Graphic-Organizers-1284713" } ] ``` ### Use Cases - **Market Research**: Analyze pricing trends and popular subjects across Teachers Pay Teachers products. - **Competitive Intelligence**: Monitor competitors' offerings, ratings, and seller performance. - **Price Monitoring**: Track price changes for specific resources to inform purchasing decisions. - **Content Aggregation**: Build databases of educational materials for content curation platforms. - **Academic Research**: Collect data on educational resources for studies in pedagogy and curriculum development. - **Business Automation**: Automate data feeds for e-commerce integrations or reporting dashboards. ### Installation and Usage 1. Search for "Teacherpayteacher Profile Scraper" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters in the provided form. 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 an array of JSON objects, each representing a scraped product. Key fields include `productId` (unique identifier), `title` and `description` (product details), `price` and `currency` (cost information), `rating` and `ratingCount` (user feedback), `seller` (object with name and store URL), `images` and `thumbnailImages` (media links), `grades`, `subjects`, `resourceTypes`, `whatsIncluded`, `skills` (categorization), `fileSize` (download size), `postDate` (publication date), and `url` (source link). This structured format ensures easy parsing and integration. ### 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 ## `startUrls` (type: `array`): URLs to start with. ## `maxRequestsPerCrawl` (type: `integer`): Maximum number of requests that can be made by this crawler. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.teacherspayteachers.com/Product/How-to-Write-a-Paragraph-Step-by-Step-2nd-3rd-Grade-Writing-Graphic-Organizers-1284713" } ], "maxRequestsPerCrawl": 100 } ``` # Actor output Schema ## `overview` (type: `string`): No description # 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 = { "startUrls": [ { "url": "https://www.teacherspayteachers.com/Product/How-to-Write-a-Paragraph-Step-by-Step-2nd-3rd-Grade-Writing-Graphic-Organizers-1284713" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/teacherpayteacher-profile-scraper").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 = { "startUrls": [{ "url": "https://www.teacherspayteachers.com/Product/How-to-Write-a-Paragraph-Step-by-Step-2nd-3rd-Grade-Writing-Graphic-Organizers-1284713" }] } # Run the Actor and wait for it to finish run = client.actor("getdataforme/teacherpayteacher-profile-scraper").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 '{ "startUrls": [ { "url": "https://www.teacherspayteachers.com/Product/How-to-Write-a-Paragraph-Step-by-Step-2nd-3rd-Grade-Writing-Graphic-Organizers-1284713" } ] }' | apify call getdataforme/teacherpayteacher-profile-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/teacherpayteacher-profile-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Teacherpayteacher Profile Scraper", "description": "The Teacherpayteacher Profile Scraper is an Apify Actor that extracts comprehensive product data from Teachers Pay Teachers profiles, including titles, prices, ratings, and seller details....", "version": "0.0", "x-build-id": "nJZItoMIrKEO8pbw2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~teacherpayteacher-profile-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-teacherpayteacher-profile-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~teacherpayteacher-profile-scraper/runs": { "post": { "operationId": "runs-sync-getdataforme-teacherpayteacher-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~teacherpayteacher-profile-scraper/run-sync": { "post": { "operationId": "run-sync-getdataforme-teacherpayteacher-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "startUrls": { "title": "Start URLs", "type": "array", "description": "URLs to start with.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxRequestsPerCrawl": { "title": "Max Requests per Crawl", "type": "integer", "description": "Maximum number of requests that can be made by this crawler.", "default": 100 } } }, "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 } } } } } } } } } } ```