🧠 TradeIndia Seller Category Scraper - API Based

This Apify actor retrieves seller and product data through the TradeIndia seller category API. Scrape by category URL to collect structured product information including name, price, company details, location, and seller flags. Perfect for B2B lead generation, market research, and business intelligence.

✅ Use Cases

• 📇 Generate B2B leads with verified seller information
• 💬 Build contact lists for cold outreach campaigns
• 🏙️ Conduct market research by product category and location
• 🧭 Perform competitive analysis in your niche
• 📊 Gather structured product and pricing intelligence from TradeIndia

📥 Input Configuration

You can customize the actor using the following input fields:

{
    "url": "/seller/home-textiles-furnishings/blankets/",
    "maxPages": 10,
    "perPage": 28
}

🧾 Fields Explained

Field	Type	Description
url	string	TradeIndia seller category URL path (e.g., "/seller/home-textiles-furnishings/blankets/")
maxPages	number	Maximum number of pages to scrape (default: 10, max: 100)
perPage	number	Number of items per page (default: 28)

📤 Output

The actor returns a dataset containing structured product records from TradeIndia. Each record includes comprehensive details about the product and seller, suitable for lead generation, analytics, and market research.

🧩 Sample Output

{
    "productId": 10157023,
    "productName": "Flannel Quilt",
    "productDescription": "Flannel Quilt",
    "longTailProdName": "Flannel Quilt",
    "price": "1399 INR",
    "priceEs": 1399.0,
    "priceRange": null,
    "minPriceRange": 0,
    "maxPriceRange": 0,
    "currency": "INR",
    "productImage": "https://cpimg.tistatic.com/10157023/b/4/Flannel-Quilt.jpg",
    "mobileImage": "https://cpimg.tistatic.com/10157023/s/4/Flannel-Quilt.jpg",
    "productUrl": "https://www.tradeindia.com/products/flannel-quilt-c10157023.html",
    "categoryId": 1109,
    "source": "CATALOG",
    "inStock": true,
    "company": {
        "name": "MM INTERNATIONAL",
        "initialName": "Partek Trading Company",
        "profileId": 5642929,
        "profileUrl": "https://www.tradeindia.com/mm-international-5642929/",
        "userId": "4302152",
        "memberSince": 2,
        "estd": 2024,
        "businessType": "Manufacturer | Trading Company",
        "hasTrustStamp": true,
        "trustStampUrl": "https://www.tradeindia.com/truststamp-member/mm-international-5642929/"
    },
    "location": {
        "city": "Panipat",
        "cityId": 211134,
        "state": "Haryana",
        "country": "India",
        "countryCode": "IN"
    },
    "sellerFlags": {
        "isManufacturer": true,
        "isExporter": false,
        "isSupplier": false,
        "isTrader": true,
        "isDistributor": false,
        "isPaid": true,
        "isSuperSeller": true,
        "isPremiumSeller": false,
        "madeInIndia": true
    },
    "tiShopping": true,
    "hasCustomFields": true,
    "customFieldData": {},
    "whatsappOptin": true
}

📋 Output Fields

Field	Type	Description
productId	number	Unique TradeIndia product identifier
productName	string	Product display name
productDescription	string	Product description
longTailProdName	string	Long-tail product name for SEO
price	string	Product price with currency
priceEs	number	Numeric price value
priceRange	string	Price range (if applicable)
productImage	string	Product image URL
productUrl	string	Direct link to product page
categoryId	number	Product category ID
company	object	Seller company details (name, profile, business type, trust stamp)
location	object	Seller location (city, state, country)
sellerFlags	object	Seller type flags (manufacturer, exporter, supplier, etc.)
tiShopping	boolean	Whether product is available on TI Shopping
customFieldData	object	Additional product specifications

🔍 Data Source

• ✓ Data fetched exclusively via TradeIndia seller category API (HTTP GET requests)
• ✓ No HTML scraping or DOM parsing
• ✓ Verified seller and product information directly from TradeIndia
• ✓ Automatic deduplication by product ID

🔒 Proxy Configuration

This actor uses standard HTTP headers with optional proxy support for:

• Avoiding IP-based rate limiting or bans
• Accessing location-specific data
• Ensuring stable data retrieval at scale

Configure proxy settings in Apify:

{
  "useApifyProxy": true,
  "apifyProxyGroups": ["RESIDENTIAL"],
  "apifyProxyCountry": "US"
}

🚀 How to Use

1. Open the actor in Apify Console
2. Click "Try actor" or create a new task
3. Enter your category URL (e.g., "/seller/home-textiles-furnishings/blankets/")
4. Configure optional settings (max pages, items per page)
5. Run the actor
6. Download results in JSON, CSV, or Excel format

⚙️ Advanced Input Example

{
    "url": "/seller/industrial-machinery/textile-machinery/",
    "maxPages": 20,
    "perPage": 50
}

🛠️ Tech Stack

• Apify SDK — actor orchestration and data handling
• Node.js 18+ — runtime environment with native fetch API
• TradeIndia Seller Category API — exclusive data source for product and seller information

📊 Data Processing Features

• ✓ Automatic duplicate detection using Product IDs
• ✓ Structured data parsing and normalization
• ✓ Comprehensive logging and error handling
• ✓ Schema validation for all output records

🔧 Local Development

Installation

$npm install

Running the Actor

$npm start

Validation

Validate all generated datasets against the schema:

$node validate-datasets.js

Code Quality

Format code:

$npm run format

Check linting:

$npm run lint

📂 Project Structure

.
├── .actor/                          # Actor configuration
│   ├── actor.json                  # Actor metadata
│   ├── input_schema.json           # Input parameters schema
│   ├── dataset_schema.json         # Output dataset schema
│   ├── input.json                  # Default input
│   ├── input-local.json            # Local development input
│   └── input-production.json       # Production input
├── src/
│   └── main.js                     # Main actor script
├── storage/
│   └── datasets/default/           # Generated datasets
├── package.json                    # Dependencies
├── validate-datasets.js            # Dataset validator
└── README.md                       # This file

🤝 Support

For issues, questions, or feature requests, please refer to the Apify documentation or contact support.