# Tokopedia Parser Spider (`getdataforme/tokopedia-parser-spider`) Actor Extract detailed product reviews and metadata from Tokopedia with this robust Apify Actor. Perfect for market research, competitive intelligence, and consumer insights in Indonesia's top e-commerce platform.... - **URL**: https://apify.com/getdataforme/tokopedia-parser-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** E-commerce, Jobs, Real estate - **Stats:** 19 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 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 ## Tokopedia Parser Spider ### Introduction The Tokopedia Parser Spider is a powerful Apify Actor designed to scrape and extract detailed product reviews and metadata from Tokopedia, Indonesia's leading e-commerce platform. It efficiently gathers comprehensive data including ratings, reviews, product details, and more, enabling users to perform in-depth market analysis and consumer insights. This tool is ideal for businesses, researchers, and developers seeking reliable, structured data from Tokopedia listings. ### Features - **Comprehensive Data Extraction**: Scrapes product reviews, ratings, titles, bodies, and metadata like brand, category, and pricing. - **High Reliability**: Built with robust error handling to ensure consistent data retrieval even from dynamic web pages. - **Fast and Scalable**: Utilizes Scrapy framework for efficient crawling, supporting multiple URLs in a single run. - **Structured Output**: Delivers clean, JSON-formatted data ready for analysis, export, or integration with other tools. - **Sentiment and Topic Analysis Ready**: Includes fields for sentiment, topics, and translations, facilitating advanced NLP applications. - **Customizable Inputs**: Accepts a list of URLs for targeted scraping, allowing flexible data collection. - **Apify Integration**: Seamlessly runs on the Apify platform with built-in monitoring and export options. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | Urls | array | No | A list of Tokopedia product URLs to scrape for reviews and metadata. Each URL should point to a specific product page. | ["https://www.tokopedia.com/oxwalker/sepatu-boots-kulit-pria-oxwalker-paul-hitam-shoes-black-pantofel-1729764792749884922"] | ### Example Usage #### Input JSON ```json { "Urls": [ "https://www.tokopedia.com/oxwalker/sepatu-boots-kulit-pria-oxwalker-paul-hitam-shoes-black-pantofel-1729764792749884922" ] } ```` #### Output JSON ```json [ { "Product_Id": "100072445737", "Review_Id": "1704419131", "Rating": 5, "Title": "Promo Sepatu Boots Kulit Pria Oxwalker PAUL Hitam Shoes Black Pantofel", "Body": "untuk harga segitu sangat sangat sangat rekomend bgt, sepatunya bagus dan finishingnya juga rapi, tidak ada lem dan jahitan yang berantakan, mantap pokoknya\ud83d\udcaf", "Sentiment": null, "Section": "", "Higher_Topic": null, "Granular_Topic": null, "Source": "Tokopedia", "Full_Review": "untuk harga segitu sangat sangat sangat rekomend bgt, sepatunya bagus dan finishingnya juga rapi, tidak ada lem dan jahitan yang berantakan, mantap pokoknya\ud83d\udcaf", "Review_Type": "Product Review", "Title_Trans": null, "Body_Trans": "untuk harga segitu sangat sangat sangat rekomend bgt, sepatunya bagus dan finishingnya juga rapi, tidak ada lem dan jahitan yang berantakan, mantap pokoknya\ud83d\udcaf", "Full_Review_Trans": "untuk harga segitu sangat sangat sangat rekomend bgt, sepatunya bagus dan finishingnya juga rapi, tidak ada lem dan jahitan yang berantakan, mantap pokoknya\ud83d\udcaf", "Product_Name_Trans": "Promo Sepatu Boots Kulit Pria Oxwalker PAUL Hitam Shoes Black Pantofel - 39 - - oxwalker_NEW | Tokopedia", "Product_Segment": "Sepatu Pria", "Gender": "Unisex", "Product_Segment2": "Boots Pria", "Year_Quarter": "2025-Q4", "Sub_Brand": "Oxwalker", "Format": "Pants", "Country": "Indonesia", "Date": "10-03-2025", "Product_Name": "Promo Sepatu Boots Kulit Pria Oxwalker PAUL Hitam Shoes Black Pantofel", "Brand": "Oxwalker", "URL": "https://www.tokopedia.com/oxwalker/sepatu-boots-kulit-pria-oxwalker-paul-hitam-shoes-black-pantofel-1729764792749884922", "Crawled_Date": "01-14-2026" } ] ``` ### Use Cases - **Market Research**: Analyze consumer feedback on products to identify trends and preferences in the Indonesian e-commerce market. - **Competitive Intelligence**: Monitor competitor products and reviews to benchmark performance and pricing strategies. - **Price Monitoring**: Track product pricing and promotions across Tokopedia listings for dynamic pricing adjustments. - **Content Aggregation**: Collect and aggregate reviews for content creation, such as blog posts or social media insights. - **Academic Research**: Gather data for studies on consumer behavior, sentiment analysis, and e-commerce dynamics in Southeast Asia. - **Business Automation**: Integrate scraped data into dashboards or CRM systems for automated reporting and decision-making. ### Installation and Usage 1. Search for "Tokopedia Parser Spider" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters by providing a list of 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 data in JSON format as an array of objects, each representing a product review or metadata entry. Key fields include Product\_Id, Review\_Id, Rating, Title, Body, Sentiment, Source, Product\_Name, Brand, URL, and Crawled\_Date. Fields like Sentiment, Higher\_Topic, and translations may be null if not analyzed. This structure ensures easy parsing and integration with data analysis tools. ### 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 ## `Urls` (type: `array`): The urls for the spider. ## Actor input object example ```json { "Urls": [ "https://www.tokopedia.com/oxwalker/sepatu-boots-kulit-pria-oxwalker-paul-hitam-shoes-black-pantofel-1729764792749884922" ] } ``` # 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/tokopedia-parser-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/tokopedia-parser-spider").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/tokopedia-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/tokopedia-parser-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Tokopedia Parser Spider", "description": "Extract detailed product reviews and metadata from Tokopedia with this robust Apify Actor. Perfect for market research, competitive intelligence, and consumer insights in Indonesia's top e-commerce platform....", "version": "0.0", "x-build-id": "NIspoAanebdu4AhyF" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~tokopedia-parser-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-tokopedia-parser-spider", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~tokopedia-parser-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-tokopedia-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~tokopedia-parser-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-tokopedia-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "Urls": { "title": "Urls", "type": "array", "description": "The urls for the spider.", "default": [ "https://www.tokopedia.com/oxwalker/sepatu-boots-kulit-pria-oxwalker-paul-hitam-shoes-black-pantofel-1729764792749884922" ], "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```