# Yaga Product Spider (`getdataforme/yaga-product-spider`) Actor Yaga Product Spider is an Apify Actor that scrapes comprehensive product data from Yaga.co.za, including titles, descriptions, images, prices, and seller details.... - **URL**: https://apify.com/getdataforme/yaga-product-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 Yaga Product Spider is an Apify Actor that scrapes comprehensive product data from Yaga.co.za, including titles, descriptions, images, prices, and seller details.... --- ## Yaga Product Spider ### Introduction Yaga Product Spider is a powerful Apify Actor designed to scrape detailed product information from Yaga.co.za, a popular South African marketplace. It efficiently extracts comprehensive data such as titles, descriptions, images, prices, and seller details from product listings, enabling users to gather insights for various business and research needs. This Actor ensures reliable data collection with minimal setup, making it an essential tool for e-commerce analysis and automation. ### Features - **Comprehensive Data Extraction**: Captures key product details including title, description, images, SKU, brand, price, currency, availability, seller info, and more. - **High Reliability**: Built with robust error handling to ensure consistent performance even on dynamic web pages. - **Flexible Input**: Accepts multiple URLs for batch processing, allowing users to scrape single or multiple product listings. - **Structured Output**: Delivers clean, JSON-formatted data ready for integration into databases, analytics tools, or reports. - **Fast and Scalable**: Optimized for speed, handling large volumes of data without compromising on quality. - **User-Friendly**: Simple configuration through Apify's interface, with no coding required. - **Real-Time Insights**: Includes metadata like posting dates and likes for up-to-date market intelligence. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | Urls | array | Yes | A list of URLs pointing to Yaga product pages to scrape. Each URL must be a valid HTTP or HTTPS link. | ["https://www.yaga.co.za/pottiestreasures/product/4pckh3rtrm8"] | ### Example Usage To run the Yaga Product Spider, provide the input in JSON format as shown below: ```json { "Urls": [ "https://www.yaga.co.za/pottiestreasures/product/4pckh3rtrm8" ] } ```` Example output in JSON format: ```json [ { "title": "H&M Cropped Trench in perfect condition. Size M will fit size 14 well.", "description": "H&M Cropped Trench in perfect condition. Size M will fit size 14 well.", "images": [ "https://images.yaga.co.za/4pckh3rtrm8/11cd93.jpeg?s=600", "https://images.yaga.co.za/4pckh3rtrm8/9530ec.jpeg?s=600" ], "sku": "35676429", "brand": "H&M", "price": "140", "currency": "R", "availability": "OutOfStock", "seller": "pottiestreasures", "url": "https://www.yaga.co.za/pottiestreasures/product/4pckh3rtrm8", "status": "This item is already sold", "likes": "2", "posted": "3d", "posted_datetime": "2026-04-09T07:30:21.065Z", "location": "Western Cape", "size": "M", "color": "Black", "condition": "Good", "category": "Women", "subcategory": "Coats & Jackets", "actor_id": "bxqK1A7Q7TMzU3Vx7", "run_id": "0UfootWyrLVhgiZea" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather data on product trends, pricing, and availability to inform business strategies. - **Competitive Intelligence**: Monitor competitors' listings for insights into their offerings and market positioning. - **Price Monitoring**: Track price changes and discounts on specific products for dynamic pricing models. - **Content Aggregation**: Collect product images and descriptions for content creation or catalog building. - **Academic Research**: Analyze marketplace data for studies on consumer behavior or e-commerce patterns. - **Business Automation**: Integrate scraped data into workflows for inventory management or automated reporting. ### Installation and Usage 1. Search for "Yaga Product 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 data in JSON format as an array of objects, each representing a scraped product. Key fields include: - `title` and `description`: Product name and details. - `images`: Array of image URLs. - `sku`, `brand`, `price`, `currency`: Product identifiers and pricing info. - `availability`, `status`: Stock and sale status. - `seller`, `url`: Seller details and source link. - `likes`, `posted`, `posted_datetime`: Engagement and timing metadata. - `location`, `size`, `color`, `condition`, `category`, `subcategory`: Product attributes. - `actor_id`, `run_id`: Apify-specific identifiers for tracking. 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 ## `Urls` (type: `array`): The urls for the spider. ## Actor input object example ```json { "Urls": [ "https://www.yaga.co.za/pottiestreasures/product/4pckh3rtrm8" ] } ``` # 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/yaga-product-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/yaga-product-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/yaga-product-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/yaga-product-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Yaga Product Spider", "description": "Yaga Product Spider is an Apify Actor that scrapes comprehensive product data from Yaga.co.za, including titles, descriptions, images, prices, and seller details....", "version": "0.0", "x-build-id": "wqz0P2G5l1rvjUrZw" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~yaga-product-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-yaga-product-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~yaga-product-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-yaga-product-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~yaga-product-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-yaga-product-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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.yaga.co.za/pottiestreasures/product/4pckh3rtrm8" ], "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 } } } } } } } } } } ```