# Sonomastorations Products Urls Listing (`getdataforme/sonomastorations-products-urls-listing`) Actor Efficiently scrape and list product URLs from Sonoma Restorations using customizable keywords. Extract comprehensive data including names, images, prices, and ratings with configurable item limits for market research, competitive analysis, and more.... - **URL**: https://apify.com/getdataforme/sonomastorations-products-urls-listing.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 --- ## Sonomastorations Products Urls Listing ### Introduction The **Sonomastorations Products Urls Listing** Actor is designed to efficiently scrape and list product URLs from the Sonoma Restorations website. It allows users to extract detailed information about products based on specified keywords, providing valuable data for market research, competitive analysis, and more. ### Features - **Keyword-Based Scraping**: Customize searches with specific keywords. - **Configurable Item Limits**: Set a maximum number of items to scrape per run. - **Comprehensive Data Extraction**: Collects product URLs, names, images, prices, and ratings. - **High-Quality Output**: Ensures data accuracy and reliability. - **User-Friendly Configuration**: Easy setup with intuitive input parameters. ### Input Parameters | Parameter | Type | Required | Description | Example | |-------------|----------|----------|-----------------------------------------------------------------------------|-----------------------------| | Keywords | array | No | The keywords for the spider. | `["chair"]` | | item_limit | integer | No | Maximum items to scrape per actor run. Set to 0 for no limit. | `10` | ### Example Usage #### Input JSON ```json { "Keywords": ["chair"], "item_limit": 10 } ```` #### Output JSON ```json [ { "keyword": "chair", "handle": "cellr-wooden-adirondack-chair", "product_url": "https://sonomarestorations.com/products/cellr-wooden-adirondack-chair?_pos=1&_sid=f25b8b736&_ss=r", "product_name": "Cellr\u2122 Wooden Adirondack Chair", "primary_image": "https://sonomarestorations.com/cdn/shop/files/cellr-adirondack-chair_4df6f087-7466-41c0-8d65-11b1eb22ec91.jpg?v=1777501477&width=540", "secondary_image": "https://sonomarestorations.com/cdn/shop/files/cellr-adirondack-chair_white_background.jpg?v=1777501477&width=540", "sale_price": "", "compare_at_price": "", "rating": "5.0", "actor_id": "bhlZxfD4Qq1hiS4bN", "run_id": "mDSA0wX4uUptLTMg2" }, { "keyword": "chair", "handle": "cellr-adirondack-rocking-chair", "product_url": "https://sonomarestorations.com/products/cellr-adirondack-rocking-chair?_pos=3&_sid=f25b8b736&_ss=r", "product_name": "Cellr\u2122 Adirondack Rocking Chair", "primary_image": "https://sonomarestorations.com/cdn/shop/files/cellr-adirondack-rocking-chair_22d98a40-c168-43d0-9ad5-2772eea56163.jpg?v=1777501638&width=540", "secondary_image": "https://sonomarestorations.com/cdn/shop/files/cellr-adirondack-chair_white_background.jpg?v=1777501638&width=540", "sale_price": "", "compare_at_price": "", "rating": "5.0", "actor_id": "bhlZxfD4Qq1hiS4bN", "run_id": "mDSA0wX4uUptLTMg2" }, { "keyword": "chair", "handle": "cellr-adirondack-chair-set-with-table", "product_url": "https://sonomarestorations.com/products/cellr-adirondack-chair-set-with-table?_pos=4&_sid=f25b8b736&_ss=r", "product_name": "Cellr\u2122 Adirondack Chair Set With Table", "primary_image": "https://sonomarestorations.com/cdn/shop/files/cellr-adirondack-chair-set-with-table_0fc3489e-eb66-4727-b70b-4cd1bce6fa6d.jpg?v=1777502175&width=540", "secondary_image": "https://sonomarestorations.com/cdn/shop/files/cellr-adirondack-chair-set-with-table_white_background.jpg?v=1777502175&width=540", "sale_price": "", "compare_at_price": "", "rating": "4.7", "actor_id": "bhlZxfD4Qq1hiS4bN", "run_id": "mDSA0wX4uUptLTMg2" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather data on product offerings to understand market trends. - **Competitive Intelligence**: Monitor competitor products and pricing strategies. - **Price Monitoring**: Track changes in product prices over time. - **Content Aggregation**: Compile product information for content creation. - **Academic Research**: Use scraped data for research projects or studies. - **Business Automation**: Automate the collection of product data for internal use. ### Installation and Usage 1. Search for "Sonomastorations Products Urls Listing" 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 containing objects with the following fields: - `keyword`: The keyword used for scraping. - `handle`: Unique identifier for the product. - `product_url`: URL of the product page. - `product_name`: Name of the product. - `primary_image`: URL of the primary image. - `secondary_image`: URL of a secondary image. - `sale_price`: Sale price of the product (if available). - `compare_at_price`: Original price for comparison (if available). - `rating`: Product rating. - `actor_id`: Identifier for the actor run. - `run_id`: Unique identifier for the run. ### Error Handling The Actor is designed to handle common errors such as network issues or changes in website structure. If an error occurs, it will be logged, and you can review the log for details. Ensure that all required fields are filled before running the spider to avoid configuration-related errors. ### Rate Limiting and Best Practices - **Rate Limiting**: The Actor respects rate limits set by the target website to prevent being blocked. - **Best Practices**: Use appropriate keywords and item limits to optimize performance and data quality. Monitor logs for any issues during execution. ### Limitations and Considerations - **Website Changes**: If the structure of the Sonoma Restorations website changes, it may affect the Actor's ability to scrape data accurately. - **Data Completeness**: The Actor provides comprehensive data but may not capture all available information if the website layout is complex or dynamic. ### 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 ## `Keywords` (type: `array`): The keywords 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 { "Keywords": [ "chair" ], "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/sonomastorations-products-urls-listing").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/sonomastorations-products-urls-listing").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/sonomastorations-products-urls-listing --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/sonomastorations-products-urls-listing", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Sonomastorations Products Urls Listing", "description": "Efficiently scrape and list product URLs from Sonoma Restorations using customizable keywords. Extract comprehensive data including names, images, prices, and ratings with configurable item limits for market research, competitive analysis, and more....", "version": "0.0", "x-build-id": "P6NXlyxMd0dgX4iGr" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~sonomastorations-products-urls-listing/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-sonomastorations-products-urls-listing", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~sonomastorations-products-urls-listing/runs": { "post": { "operationId": "runs-sync-getdataforme-sonomastorations-products-urls-listing", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~sonomastorations-products-urls-listing/run-sync": { "post": { "operationId": "run-sync-getdataforme-sonomastorations-products-urls-listing", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "Keywords": { "title": "Keywords", "type": "array", "description": "The keywords for the spider.", "default": [ "chair" ], "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 } } } } } } } } } } ```