# Tokopedia Store Reviews Scraper (`nifty.codes/tokopedia-sellerreviews-scraper`) Actor Extract seller reviews including ratings, text, reviewer names, and product details from Tokopedia store pages. Powered by Tokopedia Scraper. - **URL**: https://apify.com/nifty.codes/tokopedia-sellerreviews-scraper.md - **Developed by:** [Nifty](https://apify.com/nifty.codes) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 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 ## Introduction This actor extracts Reviews in a Store from Tokopedia. It collects detailed feedback left for sellers, including numerical ratings, text content, reviewer profiles, and specific product variant information. The data helps analyze seller reputation and customer satisfaction. ### Data Fields | Field Name | Description | Example | | --- | --- | --- | | Product ID | Unique identifier for the product | 123456789 | | Product Name | Name of the reviewed product | Smartphone X Pro | | Product Image URL | Link to the product thumbnail | https://images.tokopedia.net/img/p1.jpg | | Product Page URL | Direct link to the product | https://www.tokopedia.com/store/product-x | | Product Status | Current availability status | active | | Product Variant ID | ID of the specific variant purchased | 98765 | | Product Variant Name | Name of the variant (color, size) | Black, 128GB | | Rating | Star rating from 1 to 5 | 5 | | Review Time | Timestamp of the review | 2023-10-15T08:30:00Z | | Review Text | The written content of the review | Great service and fast shipping. | | Reviewer ID | Unique identifier for the user | 554433 | | Reviewer Name | Name of the customer | John Doe | | Avatar | Link to reviewer profile image | https://images.tokopedia.net/user/a.jpg | | Reply Text | Seller response to the review | Thank you for shopping with us! | | Reply Time | Timestamp of the seller response | 2023-10-15T10:00:00Z | | Image Attachments | Array of images uploaded by reviewer | ["https://images.tokopedia.net/rev/1.jpg"] | | Video Attachments | Array of videos uploaded by reviewer | [] | | Total Likes | Number of users who found review helpful | 12 | | Bad Rating Reason | Categorized reason for low scores | Shipping delay | ### Input - `urls`: Array of Tokopedia seller review page URLs. - `maxItems`: Maximum number of review items to extract per URL. Default is 100. ### Example Input ```json { "urls": ["https://www.tokopedia.com/officialstore/review"], "maxItems": 50 } ```` ### Example Output ```json [ { "productId": "112233", "productName": "Wireless Earbuds", "productImageUrl": "https://images.tokopedia.net/img/earbuds.jpg", "productPageUrl": "https://www.tokopedia.com/store/earbuds", "productStatus": "active", "productVariantId": "4455", "productVariantName": "White", "rating": 5, "reviewTime": "2023-11-01T12:00:00Z", "reviewText": "Excellent sound quality.", "reviewerId": "778899", "reviewerName": "Alice Smith", "avatar": "https://images.tokopedia.net/user/alice.jpg", "replyText": "Glad you liked it!", "replyTime": "2023-11-01T14:00:00Z", "imageAttachments": [], "videoAttachments": [], "totalLikes": 5, "badRatingReason": null }, { "productId": "998877", "productName": "Mechanical Keyboard", "productImageUrl": "https://images.tokopedia.net/img/kb.jpg", "productPageUrl": "https://www.tokopedia.com/store/keyboard", "productStatus": "active", "productVariantId": "2211", "productVariantName": "Blue Switch", "rating": 4, "reviewTime": "2023-11-02T09:15:00Z", "reviewText": "Good but a bit loud.", "reviewerId": "665544", "reviewerName": "Bob Wilson", "avatar": "https://images.tokopedia.net/user/bob.jpg", "replyText": null, "replyTime": null, "imageAttachments": ["https://images.tokopedia.net/rev/kb1.jpg"], "videoAttachments": [], "totalLikes": 2, "badRatingReason": null } ] ``` #### Want more from Tokopedia? This actor only covers **Reviews in a Store**. The full **Tokopedia Scraper** browser extension also includes **Products in a List, Product Details, Variant Details, Seller Details, Products in a Store, Product Reviews** with unlimited personal use, real-time scraping with your logged-in sessions, CSV/Excel/JSON export, field customization, and scheduled monitoring. **[Get the Tokopedia Scraper extension](https://nifty.codes/e/tokopedia-scraper)** Disclaimer: This tool extracts publicly available data. Users are responsible for compliance with applicable terms of service. # Actor input Schema ## `urls` (type: `array`): URLs to scrape. Must match: tokopedia.com ## `maxItems` (type: `integer`): Maximum number of items to extract per URL ## `enablePagination` (type: `boolean`): Load more results beyond the first page. ## `maxPages` (type: `integer`): Maximum number of pagination actions (pages, scrolls, or loads) ## Actor input object example ```json { "urls": [ "https://www.tokopedia.com/giarubystore1/review" ], "maxItems": 100, "enablePagination": true, "maxPages": 1 } ``` # 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("nifty.codes/tokopedia-sellerreviews-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 = {} # Run the Actor and wait for it to finish run = client.actor("nifty.codes/tokopedia-sellerreviews-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 '{}' | apify call nifty.codes/tokopedia-sellerreviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nifty.codes/tokopedia-sellerreviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Tokopedia Store Reviews Scraper", "description": "Extract seller reviews including ratings, text, reviewer names, and product details from Tokopedia store pages. Powered by Tokopedia Scraper.", "version": "3.2", "x-build-id": "ZXQsqNaxiVRIU4HKS" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nifty.codes~tokopedia-sellerreviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nifty.codes-tokopedia-sellerreviews-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nifty.codes~tokopedia-sellerreviews-scraper/runs": { "post": { "operationId": "runs-sync-nifty.codes-tokopedia-sellerreviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nifty.codes~tokopedia-sellerreviews-scraper/run-sync": { "post": { "operationId": "run-sync-nifty.codes-tokopedia-sellerreviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "urls" ], "properties": { "urls": { "title": "URLs", "type": "array", "description": "URLs to scrape. Must match: tokopedia.com", "items": { "type": "string" }, "default": [ "https://www.tokopedia.com/giarubystore1/review" ] }, "maxItems": { "title": "Max items", "minimum": 1, "type": "integer", "description": "Maximum number of items to extract per URL", "default": 100 }, "enablePagination": { "title": "Paginate", "type": "boolean", "description": "Load more results beyond the first page.", "default": true }, "maxPages": { "title": "Max pagination steps", "minimum": 1, "type": "integer", "description": "Maximum number of pagination actions (pages, scrolls, or loads)", "default": 1 } } }, "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 } } } } } } } } } } ```