Advanced Tokopedia Scraper

The Advanced Tokopedia Scraper is a powerful, production-grade tool built to extract comprehensive product, shop, and transaction data from Tokopedia at scale.
This updated version introduces significant performance optimizations, improved accuracy, and a fully modular architecture — making it faster, more reliable, and easier to integrate into any workflow.

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What’s New

• Faster execution — optimized concurrency and adaptive resource control.
• Smarter queue system — automatic balancing of retries and rate limits.
• Improved stability — handles structural changes and temporary downtime gracefully.
• Higher data precision — enhanced parsing ensures consistent and accurate output.
• Dynamic performance tuning — automatically adjusts concurrency based on system stats.
• Modular design — simplified structure for easier customization and maintenance.

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Core Features

• Comprehensive product data
  Extract full product details, including names, descriptions, prices, specifications, stock levels, and images.

• Search or category-based scraping
  Scrape results using keywords, categories, or brand filters with full pagination support.

• Shop insights
  Collect shop name, ID, tier level, city, and profile URL for each listing.

• Transaction data
  Access transaction success counts, rejection rates, and total items sold.

• Structured output
  Export clean data in JSON or CSV, ready for analysis or database ingestion.

• Developer-first design
  Built with async I/O, modular handlers, and performance monitoring for seamless integration into custom pipelines.

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How It Works

1. Configure input parameters
   Define search keywords, category IDs, or filters according to your needs.

2. Run the scraper
   The system queues search results and product pages automatically.

3. Data extraction
   Each product is processed to collect full details, including metadata and shop information.

4. Retrieve results
   Download or connect your dataset in JSON or CSV format, ready for analysis or integration.

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Getting Started

1. Sign up at Apify.
2. Open the scraper on Faz’s Apify page.
3. Configure your search parameters and filters.
4. Run the scraper and let it collect the data automatically.
5. Export your results once the task completes.

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Example Output

Product Summary

{
  "id": 13876543210,
  "name": "Dell XPS 13 9310 OLED i7 1165G7 16GB 512GB 3.9K 13\" Ultra HD",
  "price": "Rp24.999.000",
  "stock": 5,
  "shop": {
    "name": "TechWorld",
    "id": 7123456,
    "city": "Jakarta Selatan",
    "tier": 2,
    "url": "https://www.tokopedia.com/techworld"
  },
  "url": "https://www.tokopedia.com/techworld/dell-xps-13-9310-oled-i7-1165g7",
  "image": "https://images.tokopedia.net/img/cache/300-square/AbcdEf/2024/10/12/8f4b26b1-0a42.jpg",
  "category": "Komputer & Laptop › Laptop › Laptop Consumer"
}

Detailed Product Data

{
  "alias": "hp-envy-13-i7-1165g7-8gb-512gb",
  "product_id": "12345678901",
  "created_at": "2024-10-15T12:30:45+07:00",
  "shop_name": "GadgetStore",
  "transaction_success": 34,
  "transaction_reject": 2,
  "count_sold": 42,
  "price": "Rp15.199.000",
  "stock": 40,
  "images": [
    "https://images.tokopedia.net/img/cache/700/AbcdEf/2024/10/5/abc123.png",
    "https://images.tokopedia.net/img/cache/700/AbcdEf/2024/10/5/def456.jpg"
  ],
  "description": "HP Envy 13 AB122TX with Intel i7-1165G7, 8GB RAM, 512GB SSD, Windows 11 Home.",
  "details": {
    "Kondisi": "Baru",
    "Berat Satuan": "2.5 kg",
    "Kategori": "Laptop Consumer",
    "Merek": "HP",
    "Tahun Rilis": "2024",
    "Garansi": "Garansi Resmi HP Indonesia"
  }
}

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Use Cases

• Market research — monitor pricing, trends, and new product releases.
• E-commerce analytics — benchmark sellers and track performance metrics.
• Machine learning pipelines — feed clean, structured product data into NER or recommendation models.
• Price comparison & aggregation — build tools that rely on real-time marketplace data.

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Continuous Development

This scraper is actively maintained and continuously improved for performance, reliability, and accuracy.
For feature requests, integration needs, or feedback, reach out via Apify.

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Collect Tokopedia data efficiently. Build faster, analyze deeper, and stay ahead.

Run the Advanced Tokopedia Scraper →