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Tokopedia Parser Spider
Under maintenance

Pricing

$30.00/month + usage

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Tokopedia Parser Spider

Tokopedia Parser Spider

Under maintenance

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....

Pricing

$30.00/month + usage

Rating

0.0

(0)

Developer

GetDataForMe

GetDataForMe

Maintained by Community

Actor stats

0

Bookmarked

9

Total users

1

Monthly active users

19 days ago

Last modified

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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

ParameterTypeRequiredDescriptionExample
UrlsarrayNoA 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

{
"Urls": [
"https://www.tokopedia.com/oxwalker/sepatu-boots-kulit-pria-oxwalker-paul-hitam-shoes-black-pantofel-1729764792749884922"
]
}

Output 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:

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