# Shopbmg Collections Cr Spider (`getdataforme/shopbmg-collections-cr-spider`) Actor The Shopbmg Collections Cr Spider efficiently extracts detailed product information from Shopbmg, including URLs, names, vendors, images, and prices.... - **URL**: https://apify.com/getdataforme/shopbmg-collections-cr-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, 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 --- ## Shopbmg Collections Cr Spider ### Introduction The Shopbmg Collections Cr Spider is a powerful web scraping tool designed to extract detailed product information from the Shopbmg website. It efficiently gathers data such as URLs, names, vendors, images, and prices, providing valuable insights for market research and competitive analysis. ### Features - **Comprehensive Data Extraction**: Captures essential product details including URLs, names, vendor information, image links, and pricing. - **Customizable Input Parameters**: Allows users to specify target URLs and set item limits for tailored data collection. - **High Reliability**: Ensures consistent performance with accurate and up-to-date data retrieval. - **User-Friendly Configuration**: Simple setup process with intuitive input parameters. - **Flexible Output Formats**: Supports multiple export options like JSON, CSV, and Excel. ### Input Parameters | Parameter | Type | Required | Description | Example | |-------------|---------|----------|-----------------------------------------------------------------------------|----------------------------------------------| | `Urls` | Array | Yes | The URLs for the spider to scrape. | `["https://www.shopgbmp.org/collections/public-lean-six-sigma-training-courses"]` | | `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.shopgbmp.org/collections/public-lean-six-sigma-training-courses" ], "item_limit": 10 } ```` #### Output JSON ```json [ { "url": "https://www.shopgbmp.org/products/problem-solving-for-ci-teams", "name": "Problem Solving for Lean Teams", "vendor": "June 22, 2026", "image_url": "https://www.shopgbmp.org/cdn/shop/files/problsolveteam.jpg?v=1733252670&width=533", "price": "$329.00", "actor_id": "sCFUQsKXLy6SdquZn", "run_id": "gjmk5hl7apHJD3qp7" }, { "url": "https://www.shopgbmp.org/products/visual-control-systems", "name": "Visual Control Systems", "vendor": "June 29,2026", "image_url": "https://www.shopgbmp.org/cdn/shop/files/andon.jpg?v=1733261928&width=533", "price": "$329.00", "actor_id": "sCFUQsKXLy6SdquZn", "run_id": "gjmk5hl7apHJD3qp7" }, { "url": "https://www.shopgbmp.org/products/the-respect-for-people-roadmap", "name": "The Respect for People Roadmap", "vendor": "Choose June, July or August Start", "image_url": "https://www.shopgbmp.org/cdn/shop/files/RoadMap.png?v=1755097816&width=533", "price": "From $1,750.00", "actor_id": "sCFUQsKXLy6SdquZn", "run_id": "gjmk5hl7apHJD3qp7" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather competitive product data for strategic planning. - **Competitive Intelligence**: Monitor competitor offerings and pricing strategies. - **Price Monitoring**: Track price changes over time to identify trends. - **Content Aggregation**: Compile comprehensive datasets for analysis or reporting. - **Academic Research**: Collect data for studies on market dynamics and consumer behavior. - **Business Automation**: Integrate with business processes for automated data updates. ### Installation and Usage 1. Search for "Shopbmg Collections Cr 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 where each object represents a product with fields such as `url`, `name`, `vendor`, `image_url`, `price`, `actor_id`, and `run_id`. This structured data facilitates easy integration into various applications. ### Error Handling Information - **Invalid URLs**: Ensure all provided URLs are valid and accessible. - **Rate Limiting Errors**: Adjust the frequency of requests if encountering rate limits. - **Data Extraction Failures**: Verify that the target pages have not changed their structure, which may require updating the spider's configuration. ### Rate Limiting and Best Practices - Respect the website's terms of service regarding scraping. - Implement delays between requests to avoid overloading the server. - Use the `item_limit` parameter to control data volume and manage resource usage effectively. ### Limitations and Considerations - The actor is designed specifically for Shopbmg URLs; other sites may require different configurations. - Changes in website structure can affect data extraction accuracy, necessitating updates to the spider's logic. # 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.shopgbmp.org/collections/public-lean-six-sigma-training-courses" ], "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/shopbmg-collections-cr-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/shopbmg-collections-cr-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/shopbmg-collections-cr-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/shopbmg-collections-cr-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Shopbmg Collections Cr Spider", "description": "The Shopbmg Collections Cr Spider efficiently extracts detailed product information from Shopbmg, including URLs, names, vendors, images, and prices....", "version": "0.0", "x-build-id": "x7l4ye0ADZosEScca" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~shopbmg-collections-cr-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-shopbmg-collections-cr-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~shopbmg-collections-cr-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-shopbmg-collections-cr-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~shopbmg-collections-cr-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-shopbmg-collections-cr-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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.shopgbmp.org/collections/public-lean-six-sigma-training-courses" ], "items": { "type": "string" } }, "item_limit": { "title": "Item limit", "minimum": 0, "type": "integer", "description": "Maximum items to scrape per actor run. Set to 0 for no limit.", "default": 10 } } }, "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 } } } } } } } } } } ```