# 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/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 ## 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(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/tokopedia-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/tokopedia-parser-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/U5NSy8mwFgi6mo9fh/builds/NIspoAanebdu4AhyF/openapi.json