# Target Reviews Spider (`getdataforme/target-reviews-spider`) Actor Extract detailed customer reviews from Target.com product pages, including ratings, text, photos, and secondary metrics like quality and value. Perfect for market research, competitive intelligence, and sentiment analysis.... - **URL**: https://apify.com/getdataforme/target-reviews-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Agents, E-commerce - **Stats:** 14 total users, 3 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: 5.00 out of 5 stars ## 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/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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. - **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use). - **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`. - **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`. - **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`. - **Any other language** — 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 ## Target Reviews Spider ### Introduction The Target Reviews Spider is a powerful Apify Actor designed to scrape and extract detailed customer reviews from Target.com product pages. It provides structured data on ratings, reviews, and secondary metrics, enabling businesses and researchers to gain valuable insights into product performance and customer sentiment. This tool simplifies the process of collecting review data at scale, making it ideal for market analysis, competitive intelligence, and automated workflows. ### Features - **Comprehensive Review Extraction**: Captures full review details including ratings, titles, text, author info, submission dates, and photos/videos. - **Structured JSON Output**: Delivers clean, machine-readable data with secondary ratings for quality, taste, value, and more. - **Multi-URL Support**: Handles multiple product URLs in a single run for efficient batch processing. - **High Reliability**: Built with robust error handling to ensure consistent data extraction even from dynamic web pages. - **Fast Performance**: Optimized scraping engine minimizes runtime while respecting rate limits. - **Apify Integration**: Seamlessly integrates with Apify's platform for easy scheduling, monitoring, and data export. - **No Coding Required**: User-friendly interface with simple input configuration for non-technical users. ### Input Parameters | Parameter | Type | Required | Description | Example | |-------------|-------|----------|-----------------------------------------------------------------------------|---------| | ProductUrls | array | Yes | An array of Target.com product URLs to scrape reviews from. Must contain at least one valid URL. | \["https://www.target.com/p/premium-basted-young-turkey-frozen-10-16lbs-price-per-lb-good-38-gather-8482/-/A-52610578"] | ### Example Usage #### Input Configuration ```json { "ProductUrls": [ "https://www.target.com/p/premium-basted-young-turkey-frozen-10-16lbs-price-per-lb-good-38-gather-8482/-/A-52610578" ] } ``` #### Output Example ```json [ { "Tcin": "95072089", "Review_Id": "f391442f-8323-4491-9c14-5a33a6c61598", "External_Id": "fa8049b9-f91f-5b8d-9799-3f05bbd4a48d", "Rating": 1, "Title": "Freezer burned", "Text": "Very disappointing. Defrosted the turkey to prep for thanksgiving and turned out the turkey has some sign of freezer burn and the smell has the freezer burn smell to it too.", "Is_Recommended": false, "Is_Verified": true, "Photos": [ "https://target.scene7.com/is/image/Target/GUEST_e783da05-81c0-45ec-999c-e3a7887290a2", "https://target.scene7.com/is/image/Target/GUEST_4c88f5b0-5deb-4fa6-865d-747acd29c735" ], "Videos": [], "Author": "Kate", "Submitted_At": "2025-11-26T18:17:33.000+00:00", "Modified_At": "2025-12-23T18:20:51.000+00:00", "Secondary_Ratings": { "Quality": { "Id": "Quality", "Value": 1, "Label": "quality", "ValueRange": 5, "DisplayType": "NORMAL" }, "Taste": { "Id": "Taste", "Value": 1, "Label": "taste", "ValueRange": 5, "DisplayType": "NORMAL" }, "Value": { "Id": "Value", "Value": 1, "Label": "value", "ValueRange": 5, "DisplayType": "NORMAL" } }, "actor_id": "0knWOq3abaPjpX2Bc", "run_id": "NG2Qal7RGDxAydnks" } ] ``` ### Use Cases - **Market Research**: Analyze customer feedback to identify trends in product quality and satisfaction. - **Competitive Intelligence**: Compare reviews across similar products to benchmark performance. - **Price Monitoring**: Correlate review data with pricing strategies for e-commerce optimization. - **Content Aggregation**: Build datasets for sentiment analysis or machine learning models. - **Academic Research**: Collect real-world data for studies on consumer behavior. - **Business Automation**: Automate review monitoring for brand reputation management. ### Installation and Usage 1. Search for "Target Reviews Spider" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters by adding product URLs. 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 single review. Key fields include: - **Tcin**: Target's product identifier. - **Review\_Id** and **External\_Id**: Unique review identifiers. - **Rating**: Numerical rating (1-5). - **Title** and **Text**: Review title and body. - **Is\_Recommended** and **Is\_Verified**: Boolean flags for recommendation and verification. - **Photos** and **Videos**: Arrays of media URLs. - **Author**: Reviewer's name. - **Submitted\_At** and **Modified\_At**: Timestamps in ISO format. - **Secondary\_Ratings**: Object with sub-ratings (e.g., Quality, Taste, Value) on a 1-5 scale. - **actor\_id** and **run\_id**: Apify metadata for tracking. Data is reliable and structured for easy integration into databases or analysis tools. ### Error Handling The Actor includes built-in error handling for common issues like invalid URLs, network timeouts, or page changes. Failed URLs are logged with details; retries are attempted automatically. If errors persist, check the run logs for diagnostics. For unresolved issues, contact support. ### Rate Limiting and Best Practices - Adheres to Target.com's terms of service; avoid overloading servers. - Limit runs to 10-20 URLs per execution for optimal performance. - Schedule runs during off-peak hours to minimize delays. - Use Apify's proxy rotation for better success rates. - Monitor usage to stay within free tier limits; upgrade for high-volume needs. ### Limitations and Considerations - Only scrapes publicly available reviews; does not access private or moderated content. - Output may vary with Target.com updates; the Actor is maintained for compatibility. - Large datasets (thousands of reviews) may require extended run times. - Ensure URLs are direct product pages; category or search pages are not supported. ### 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 ## `ProductUrls` (type: `array`): The product urls for the spider. ## Actor input object example ```json { "ProductUrls": [ "https://www.target.com/p/premium-basted-young-turkey-frozen-10-16lbs-price-per-lb-good-38-gather-8482/-/A-52610578" ] } ``` # 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/target-reviews-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/target-reviews-spider").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).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/target-reviews-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/target-reviews-spider" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/0knWOq3abaPjpX2Bc/builds/813tErzSrmHj9BSgD/openapi.json