# Target Product Reviews Scraper - Ratings & Text (`khadinakbar/target-product-reviews-scraper`) Actor Scrape Target product reviews from URLs or TCINs. Export ratings, text, verified status, customer media, votes, topics, timestamps, product aggregates, and canonical source URLs to JSON, CSV, or Excel. Built for review monitoring, research, and agent workflows. Pay only per saved review. - **URL**: https://apify.com/khadinakbar/target-product-reviews-scraper.md - **Developed by:** [Khadin Akbar](https://apify.com/khadinakbar) (community) - **Categories:** E-commerce, Automation, MCP servers - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $18.00 / 1,000 review scrapeds This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Target Product Reviews Scraper Extract complete, analysis-ready Target product reviews from Target URLs or TCINs. Each paid row is schema-validated and includes the rating, review text, verification and recommendation flags, media, votes, topics, product-level rating context, timestamps, and a canonical source URL. ### What you get - One consistent dataset row per Target product review - Exact 1–5 star, verified-only, photo-only, and video-only filters - Most recent, highest-rated, lowest-rated, and most-helpful sorting - Product averages, rating counts and distributions denormalized onto each row - JSON, CSV, Excel, XML, RSS, and API access through the Apify dataset - Explicit `COMPLETE`, `PARTIAL`, `VALID_EMPTY`, `INVALID_INPUT`, `UPSTREAM_FAILED`, or `CONFIG_ERROR` outcomes in `OUTPUT` and `RUN_SUMMARY` ### Quick start Use a Target product URL: ```json { "productUrls": ["https://www.target.com/p/-/A-89827259"], "maxReviews": 20, "maxReviewsPerProduct": 20, "sortBy": "most_recent" } ```` Or pass raw TCINs and select only verified 1-star and 2-star feedback: ```json { "productUrls": ["89827259", "87830660"], "ratings": [1, 2], "verifiedOnly": true, "maxReviews": 100, "maxReviewsPerProduct": 50 } ``` ### Input | Field | Type | Default | Purpose | | ---------------------- | --------: | ------------: | ----------------------------------------------------------------------- | | `productUrls` | string\[] | required | Target product URLs or 8–12 digit TCINs; maximum 100 | | `maxReviews` | integer | 50 | Hard paid-row cap across the entire run; maximum 5,000 | | `maxReviewsPerProduct` | integer | 50 | Paid-row cap for each product; maximum 1,000 | | `sortBy` | string | `most_recent` | `most_recent`, `highest_rating`, `lowest_rating`, or `helpfulness_desc` | | `ratings` | integer\[] | `[]` | Exact star ratings from 1–5; empty means all ratings | | `verifiedOnly` | boolean | `false` | Request only reviews Target marks verified | | `hasOnlyPhotos` | boolean | `false` | Request only reviews containing customer photos | | `hasOnlyVideos` | boolean | `false` | Request only reviews containing customer videos | Duplicate products are processed once. Non-Target URLs are rejected before a request is made. ### Output example ```json { "reviewId": "b1b65231-0ccb-40e4-b003-e452cc650ff6", "productId": "89827259", "productUrl": "https://www.target.com/p/-/A-89827259", "productTitle": "Apple EarPods (USB-C)", "rating": 5, "reviewTitle": "Great earbuds", "reviewText": "Clear sound and comfortable fit.", "reviewerName": "AlexS", "submittedAt": "2026-07-03T18:10:08.000Z", "modifiedAt": "2026-07-12T14:26:35.000Z", "isVerified": true, "isRecommended": true, "isIncentivized": false, "isSyndicated": false, "sourceChannel": "TARGET", "helpfulVotes": 4, "unhelpfulVotes": 1, "photos": [], "videos": [], "secondaryRatings": { "quality": 5, "value": 4 }, "topics": ["sound quality", "comfort"], "productAverageRating": 4.34, "productRatingCount": 811, "productReviewCount": 178, "productRecommendedPercentage": 75, "productRatingDistribution": { "1": 102, "2": 15, "3": 26, "4": 32, "5": 636 }, "productSecondaryAverages": { "quality": 4.01, "value": 4.15 }, "availableReviews": 177, "paginationNote": null, "sourceUrl": "https://www.target.com/p/-/A-89827259", "scrapedAt": "2026-07-15T12:00:00.000Z" } ``` ### Pricing and cost control This Actor uses pay-per-event pricing: | Event | Price | | --------------------- | -------: | | Actor start | $0.00005 | | Complete review saved | $0.018 | The default `maxReviews: 50` bounds review-event cost at $0.90. The Actor enforces the global cap, per-product cap, and platform charge limit immediately before each dataset write. Apify platform compute and proxy usage are additional and paid by the user. ### Reliability behavior The Actor uses HTTP requests with rotating US residential proxy sessions, validates Target's response shape, retries temporary blocks with bounded exponential backoff, deduplicates reviews, and checkpoints page and billing state for platform migrations. It stops early with a clear `PARTIAL` outcome when runtime or charge limits are reached. An empty dataset can be correct: restrictive filters or products without matching reviews return `VALID_EMPTY`. Check the `OUTPUT` or `RUN_SUMMARY` key-value-store record before treating an empty dataset as a failure. ### Limitations and legal boundaries Target's [current Terms & Conditions](https://www.target.com/c/terms-conditions/-/N-4sr7l) prohibit commercial data extraction, systematic storage, and automated access unless approved. Use this Actor only when you have Target's written authorization or another valid legal basis, and follow applicable privacy, copyright, consumer-protection, and database laws. Do not use the output for profiling, harassment, or attempts to identify reviewers. This Actor is not affiliated with or endorsed by Target. Because site behavior and policies can change, review the current terms before each production use. The Actor collects only the reviewer's public display name and intentionally omits Target's opaque reviewer account identifiers. ### Local development ```bash npm install npm test npm run build apify run --purge ``` The Actor dynamically discovers Target's public review-service configuration from each product page; no Target login, cookie, or hard-coded service credential is stored in the project. # Actor input Schema ## `productUrls` (type: `array`): Add one Target product page URL or 8–12 digit TCIN per line. Slugged URLs and canonical /A-{TCIN} URLs are accepted. Duplicate products are processed once. Other domains are rejected before any network request. ## `maxReviews` (type: `integer`): Sets the hard billing and output cap across all products. The Actor checks this limit before every paid dataset write. The default of 50 costs at most $0.90 in review events. Choose 1–5,000 depending on your workload. ## `maxReviewsPerProduct` (type: `integer`): Caps paid review rows for each individual product. This prevents one popular item from consuming the whole run. The whole-run maxReviews cap still takes precedence. Choose 1–1,000; the default is 50. ## `sortBy` (type: `string`): Controls the order requested from Target. Most recent is useful for monitoring fresh feedback. Highest and lowest rating support sentiment analysis. Most helpful prioritizes reviews voted useful by shoppers. ## `ratings` (type: `array`): Optionally list exact star ratings to include, such as \[1] or \[4, 5]. Leave the array empty to include every rating. Values must be unique integers from 1 through 5. Filters are applied upstream before billing. ## `verifiedOnly` (type: `boolean`): Enable this to request only reviews Target marks as verified. Disable it to include verified and unverified reviews. The flag comes directly from Target and is not inferred. Filtering happens before rows are saved or billed. ## `hasOnlyPhotos` (type: `boolean`): Enable this to request only reviews with customer photos. Disable it to include reviews with or without photos. Photo URLs are returned in the photos array. Filtering happens before rows are saved or billed. ## `hasOnlyVideos` (type: `boolean`): Enable this to request only reviews with customer videos. Disable it to include reviews with or without videos. Video URLs are returned when Target exposes them. A valid filter with no matches returns VALID\_EMPTY rather than an error. ## Actor input object example ```json { "productUrls": [ "https://www.target.com/p/-/A-89827259" ], "maxReviews": 20, "maxReviewsPerProduct": 20, "sortBy": "most_recent", "ratings": [], "verifiedOnly": false, "hasOnlyPhotos": false, "hasOnlyVideos": false } ``` # Actor output Schema ## `results` (type: `string`): Structured reviews with rating, text, verification, media, votes, topics, product aggregates, and source provenance. ## `outputSummary` (type: `string`): Compact machine-readable terminal outcome and output counts. ## `runSummary` (type: `string`): Detailed run diagnostics, cost counters, warnings, errors, and stop reason. # 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 = { "productUrls": [ "https://www.target.com/p/-/A-89827259" ], "maxReviews": 20, "maxReviewsPerProduct": 20, "sortBy": "most_recent", "ratings": [], "verifiedOnly": false, "hasOnlyPhotos": false, "hasOnlyVideos": false }; // Run the Actor and wait for it to finish const run = await client.actor("khadinakbar/target-product-reviews-scraper").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 = { "productUrls": ["https://www.target.com/p/-/A-89827259"], "maxReviews": 20, "maxReviewsPerProduct": 20, "sortBy": "most_recent", "ratings": [], "verifiedOnly": False, "hasOnlyPhotos": False, "hasOnlyVideos": False, } # Run the Actor and wait for it to finish run = client.actor("khadinakbar/target-product-reviews-scraper").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 '{ "productUrls": [ "https://www.target.com/p/-/A-89827259" ], "maxReviews": 20, "maxReviewsPerProduct": 20, "sortBy": "most_recent", "ratings": [], "verifiedOnly": false, "hasOnlyPhotos": false, "hasOnlyVideos": false }' | apify call khadinakbar/target-product-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=khadinakbar/target-product-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Target Product Reviews Scraper - Ratings & Text", "description": "Scrape Target product reviews from URLs or TCINs. Export ratings, text, verified status, customer media, votes, topics, timestamps, product aggregates, and canonical source URLs to JSON, CSV, or Excel. Built for review monitoring, research, and agent workflows. Pay only per saved review.", "version": "1.0", "x-build-id": "lwO5uM8TaeYOS3uzW" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/khadinakbar~target-product-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-khadinakbar-target-product-reviews-scraper", "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/khadinakbar~target-product-reviews-scraper/runs": { "post": { "operationId": "runs-sync-khadinakbar-target-product-reviews-scraper", "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/khadinakbar~target-product-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-khadinakbar-target-product-reviews-scraper", "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", "required": [ "productUrls" ], "properties": { "productUrls": { "title": "Target product URLs or TCINs", "minItems": 1, "maxItems": 100, "type": "array", "description": "Add one Target product page URL or 8–12 digit TCIN per line. Slugged URLs and canonical /A-{TCIN} URLs are accepted. Duplicate products are processed once. Other domains are rejected before any network request.", "items": { "type": "string", "minLength": 1 }, "default": [ "https://www.target.com/p/-/A-89827259" ] }, "maxReviews": { "title": "Maximum reviews for the run", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Sets the hard billing and output cap across all products. The Actor checks this limit before every paid dataset write. The default of 50 costs at most $0.90 in review events. Choose 1–5,000 depending on your workload.", "default": 50 }, "maxReviewsPerProduct": { "title": "Maximum reviews per product", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Caps paid review rows for each individual product. This prevents one popular item from consuming the whole run. The whole-run maxReviews cap still takes precedence. Choose 1–1,000; the default is 50.", "default": 50 }, "sortBy": { "title": "Review order", "enum": [ "most_recent", "highest_rating", "lowest_rating", "helpfulness_desc" ], "type": "string", "description": "Controls the order requested from Target. Most recent is useful for monitoring fresh feedback. Highest and lowest rating support sentiment analysis. Most helpful prioritizes reviews voted useful by shoppers.", "default": "most_recent" }, "ratings": { "title": "Star ratings", "maxItems": 5, "uniqueItems": true, "type": "array", "description": "Optionally list exact star ratings to include, such as [1] or [4, 5]. Leave the array empty to include every rating. Values must be unique integers from 1 through 5. Filters are applied upstream before billing.", "items": { "type": "integer", "minimum": 1, "maximum": 5 }, "default": [] }, "verifiedOnly": { "title": "Verified reviews only", "type": "boolean", "description": "Enable this to request only reviews Target marks as verified. Disable it to include verified and unverified reviews. The flag comes directly from Target and is not inferred. Filtering happens before rows are saved or billed.", "default": false }, "hasOnlyPhotos": { "title": "Reviews with photos only", "type": "boolean", "description": "Enable this to request only reviews with customer photos. Disable it to include reviews with or without photos. Photo URLs are returned in the photos array. Filtering happens before rows are saved or billed.", "default": false }, "hasOnlyVideos": { "title": "Reviews with videos only", "type": "boolean", "description": "Enable this to request only reviews with customer videos. Disable it to include reviews with or without videos. Video URLs are returned when Target exposes them. A valid filter with no matches returns VALID_EMPTY rather than an error.", "default": false } } }, "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 } } } } } } } } } } ```