Tokopedia Scraper

Scrape product data from Tokopedia.com - Indonesia's largest e-commerce marketplace with 100M+ monthly visitors.

This scraper uses Tokopedia's internal GraphQL API for fast, reliable extraction. No browser overhead means results in seconds, not minutes.

Why Choose This Scraper?

Feature	This Scraper	Browser-Based Scrapers
Speed	⚡ ~5 seconds for 60 products	🐢 30-60+ seconds
Cost	💰 $2 per 1,000 products	💸 Higher compute usage
Reliability	✅ Direct API access	❌ Breaks on UI changes
Subscription	🚫 None - pay per result	💳 Often monthly fees

What Data Can You Extract?

📦 Product Information

• Product name, URL, and unique ID
• Current price and original price (with discount %)
• Category and full breadcrumb path
• Product images
• Free shipping indicator

🏪 Seller Information

• Shop name and location (city)
• Shop ID and direct shop URL
• Seller tier (1-4)
• Official/verified store badge

📊 Engagement Metrics

• Product rating (0-5 stars)
• Sold count (when available)

How to Use This Scraper

Option 1: Search by Keyword

Perfect for market research and competitor analysis.

{
  "searchKeyword": "laptop gaming",
  "maxResults": 100
}

Option 2: Scrape a Category Page

Ideal for catalog building and category analysis.

{
  "categoryUrl": "https://www.tokopedia.com/p/handphone-tablet/handphone",
  "maxResults": 500
}

Input Parameters

Parameter	Type	Required	Description
searchKeyword	String	Yes*	Search term (e.g., "sepatu nike")
categoryUrl	String	Yes*	Direct Tokopedia category URL
maxResults	Number	No	Max products to extract (default: 100)
proxyConfiguration	Object	No	Apify proxy settings

*Provide either searchKeyword OR categoryUrl, not both.

Sample Output

{
  "name": "ASUS ROG Strix G15 Gaming Laptop",
  "price": 15999000,
  "originalPrice": 18999000,
  "discount": "16%",
  "seller": "ASUS Official Store",
  "sellerLocation": "Jakarta Pusat",
  "sellerTier": 3,
  "shopId": "480889",
  "shopUrl": "https://www.tokopedia.com/asusrogid",
  "isOfficialStore": true,
  "rating": 4.9,
  "soldCount": 1500,
  "images": ["https://images.tokopedia.net/..."],
  "url": "https://www.tokopedia.com/asusrogid/asus-rog-strix...",
  "productId": "12345678",
  "category": "Laptop",
  "categoryBreadcrumb": "Komputer & Laptop > Laptop",
  "hasFreeShipping": true,
  "searchKeyword": "laptop gaming",
  "scrapedAt": "2026-02-01T10:30:00.000Z"
}

Output Fields Reference

Field	Type	Description
name	String	Product title
price	Number	Current price in IDR
originalPrice	Number	Price before discount (null if none)
discount	String	Discount percentage (e.g., "16%")
seller	String	Shop/seller name
sellerLocation	String	Seller's city
sellerTier	Number	Seller tier level (1-4)
shopId	String	Unique shop identifier
shopUrl	String	Direct URL to shop page
isOfficialStore	Boolean	True if official/verified
rating	Number	Product rating (0-5)
soldCount	Number	Units sold (null if unavailable)
images	Array	Product image URLs
url	String	Product page URL
productId	String	Unique product ID
category	String	Product category
categoryBreadcrumb	String	Full category path
hasFreeShipping	Boolean	Free shipping available
searchKeyword	String	Search term used
scrapedAt	String	ISO timestamp

How Much Does It Cost?

Pricing: $0.002 per product (pay-per-result)

Products	Cost	Use Case
100	$0.20	Quick market check
1,000	$2.00	Competitor analysis
10,000	$20.00	Full category research
50,000	$100.00	Enterprise data collection

💡 No monthly subscription. You only pay for the data you extract.

Compute costs: This scraper uses minimal compute (~0.05 CU per 100 products) because it doesn't need a browser.

Use Cases

🔍 Price Monitoring

Track competitor prices across thousands of products. Set up scheduled runs to monitor price changes daily or weekly.

📊 Market Research

Analyze product trends, pricing strategies, and market positioning. Understand what sells and at what price points.

🛒 Dropshipping Research

Find trending products with good margins. Identify reliable sellers with high ratings and official store status.

🏪 Seller Analysis

Research seller performance using shop IDs and URLs. Compare seller tiers and identify official stores.

📈 Competitive Intelligence

Monitor competitor product catalogs, pricing, and inventory. Track new product launches.

Tips for Best Results

💡 Start small: Test with 10-50 products first to verify the data format meets your needs.

💡 Use specific keywords: "laptop gaming asus" returns more relevant results than just "laptop".

💡 Category URLs for completeness: If you want ALL products in a category, use the category URL instead of keywords.

💡 Schedule regular runs: Set up Apify schedules for daily/weekly price monitoring.

💡 Export formats: Use Apify's built-in export to JSON, CSV, or Excel - no coding needed.

FAQ

Does this scraper work with Tokopedia's anti-bot protection?

Yes. This scraper uses Tokopedia's internal GraphQL API with smart rate limiting, user-agent rotation, and automatic retry logic. It handles 429 errors gracefully.

How many products can I extract?

There's no hard limit. Tokopedia's search returns up to ~3,000 products per keyword. For larger datasets, use category URLs or multiple keyword searches.

Do I need proxies?

The scraper works without proxies for normal usage. For high-volume scraping (10,000+ products), Apify's residential proxies are recommended.

Is this scraper maintained?

Yes. We regularly update the scraper to handle any Tokopedia API changes. Last update: February 2026 (v2.7).

Can I scrape specific seller shops?

Currently, this scraper supports keyword search and category URLs. Shop-specific scraping is on our roadmap.

Limitations

• Search results are limited to ~3,000 products per keyword (Tokopedia's limit)
• Some products may not have soldCount data (depends on seller settings)
• reviewCount is not available in search results (would require product page scraping)

Technical Details

Method: GraphQL API (SearchProductV5Query)

Reliability Features (v2.7):

• User-agent rotation (8 realistic browser signatures)
• Exponential backoff on rate limits (429 errors)
• Respects Retry-After header from server
• Graceful 403 detection and handling
• Network error retry with jitter (±30% randomization)
• Batch saving every 100 products (memory-safe for large scrapes)
• Clear error status messages (blocked/api_changed/network_error)
• HTTP/1.1 mode for maximum compatibility

Why GraphQL over DOM scraping?

• ⚡ 10x faster (no browser rendering)
• 💰 Lower compute costs
• ✅ More stable (not affected by UI changes)
• 📊 More complete data (includes fields not visible on page)

Support

Questions or feature requests? Contact us through Apify or open an issue.

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Built with GraphQL API | v2.7.0 | Strive