# Petco Product Views Extractor (`getdataforme/petco-product-views-extractor`) Actor The Petco Product Views Extractor is an Apify tool designed to scrape product reviews and Q\&A from Petco, providing structured JSON output for market research, competitive analysis, and business automation.... - **URL**: https://apify.com/getdataforme/petco-product-views-extractor.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Automation, E-commerce, Lead generation - **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 --- ## Petco Product Views Extractor ### Introduction The Petco Product Views Extractor is a powerful tool designed to efficiently scrape product reviews and questions & answers from Petco's website. This Apify Actor enables businesses and researchers to gather valuable insights into customer feedback, helping them make informed decisions based on real user experiences. ### Features - **Comprehensive Data Extraction**: Captures detailed reviews and Q&A for specified products. - **Flexible URL Configuration**: Allows input of multiple product URLs for batch processing. - **Customizable Item Limit**: Set a maximum number of items to scrape per run, or opt for unlimited extraction. - **High-Quality Output**: Provides structured JSON output with clear data segmentation. - **Ease of Use**: Simple setup and execution through the Apify platform. ### Input Parameters | Parameter | Type | Required | Description | Example | |---------------|---------|----------|-----------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------| | ProductUrls | array | Yes | The product URLs for the spider. Must be valid HTTP/HTTPS links. | `["https://www.petco.com/product/nulo-medalseries-chicken-and-duck-silky-mousse-wet-cat-food"]` | | item_limit | integer | No | Maximum items to scrape per actor run. Set to 0 for no limit. | `10` | ### Example Usage #### Input JSON ```json { "ProductUrls": [ "https://www.petco.com/product/nulo-medalseries-chicken-and-duck-silky-mousse-wet-cat-food", "https://www.petco.com/product/purina-fancy-feast-gourmet-naturals-indoor-weight-control-pate-wet-cat-food-variety-pack-3-oz-count-of-12-3017932" ], "item_limit": 10 } ```` #### Output JSON ```json [ { "product_url": "https://www.petco.com/product/nulo-medalseries-chicken-and-duck-silky-mousse-wet-cat-food", "reviews": [ { "title": "Great for picky eaters who love to lick", "reviewer_name": "Minnieval", "date": "2025-01-04T12:21:06.000+00:00", "review": "My very picky flat faced cat makes it very hard for me to make sure he gets adequate nutrition...", "verified_purchaser": null, "star_rating": "5" } ], "questions_and_answers": [ { "question": "The website says buy one, get the other 40% off, when I add the 2 to the cart, it shows only 20% off?", "question_author": "Carnbru", "question_date": "1 year ago", "answers": [ { "answer": "Hi there! We're sorry to hear you're having trouble with this promotion...", "answer_author": "Nulo Team", "answer_date": "1 year ago" } ] } ], "actor_id": "6eeEvnQVF8tVnuLQL", "run_id": "cR2Pu5FUVSJxpf407" }, { "product_url": "https://www.petco.com/product/purina-fancy-feast-gourmet-naturals-indoor-weight-control-pate-wet-cat-food-variety-pack-3-oz-count-of-12-3017932", "reviews": [], "questions_and_answers": [], "actor_id": "6eeEvnQVF8tVnuLQL", "run_id": "cR2Pu5FUVSJxpf407" } ] ``` ### Use Cases - **Market Research and Analysis**: Understand customer preferences and trends. - **Competitive Intelligence**: Monitor competitor products and gather insights on their performance. - **Price Monitoring**: Track pricing changes and promotional offers. - **Content Aggregation**: Compile reviews for content creation or analysis. - **Academic Research**: Collect data for studies in consumer behavior or marketing. - **Business Automation**: Integrate with systems to automate feedback collection. ### Installation and Usage 1. Search for "Petco Product Views Extractor" 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 structure: - `product_url`: The URL of the product being reviewed. - `reviews`: An array of review objects, each containing: - `title`: Review title - `reviewer_name`: Name of the reviewer - `date`: Date of the review - `review`: Full text of the review - `verified_purchaser`: Verification status (if available) - `star_rating`: Star rating given by the reviewer - `questions_and_answers`: An array of Q\&A objects, each containing: - `question`: The question asked - `question_author`: Author of the question - `question_date`: Date when the question was posted - `answers`: An array of answer objects, each containing: - `answer`: Answer text - `answer_author`: Author of the answer - `answer_date`: Date when the answer was provided - `actor_id` and `run_id`: Unique identifiers for the actor run. ### Error Handling The Actor is designed to handle common errors such as invalid URLs or network issues gracefully. If an error occurs, it will log detailed information in the Apify console for troubleshooting. Ensure all input URLs are valid and accessible before running the Actor. ### Rate Limiting and Best Practices To avoid being blocked by Petco's servers, adhere to the following best practices: - Use a reasonable delay between requests. - Respect any rate limits indicated by Petco's website. - Avoid scraping too many pages in a short period. ### Limitations and Considerations - The Actor may not capture all reviews if they are dynamically loaded or require additional interactions. - Ensure compliance with Petco's terms of service when using the data collected. - Performance may vary based on network conditions and server response times. # Actor input Schema ## `ProductUrls` (type: `array`): The product 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 { "ProductUrls": [ "https://www.petco.com/product/nulo-medalseries-chicken-and-duck-silky-mousse-wet-cat-food", "https://www.petco.com/product/purina-fancy-feast-gourmet-naturals-indoor-weight-control-pate-wet-cat-food-variety-pack-3-oz-count-of-12-3017932" ], "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/petco-product-views-extractor").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/petco-product-views-extractor").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/petco-product-views-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/petco-product-views-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Petco Product Views Extractor", "description": "The Petco Product Views Extractor is an Apify tool designed to scrape product reviews and Q&A from Petco, providing structured JSON output for market research, competitive analysis, and business automation....", "version": "0.0", "x-build-id": "dL9rpf7WTDixsjKKa" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~petco-product-views-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-petco-product-views-extractor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~petco-product-views-extractor/runs": { "post": { "operationId": "runs-sync-getdataforme-petco-product-views-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~petco-product-views-extractor/run-sync": { "post": { "operationId": "run-sync-getdataforme-petco-product-views-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "ProductUrls": { "title": "Product Urls", "minItems": 1, "type": "array", "description": "The product urls for the spider.", "default": [ "https://www.petco.com/product/nulo-medalseries-chicken-and-duck-silky-mousse-wet-cat-food", "https://www.petco.com/product/purina-fancy-feast-gourmet-naturals-indoor-weight-control-pate-wet-cat-food-variety-pack-3-oz-count-of-12-3017932" ], "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 } } } } } } } } } } ```