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IndiaMART Scraper – Scrape IndiaMART Data

RealdataAPI / indiamart-scraper

The IndiaMART Scraper API by Real Data API provides a powerful solution to scrape IndiaMART data and extract essential business insights. With advanced IndiaMART Data Scraping Services, businesses can collect product details, pricing, seller information, and contact details in real time. By leveraging Web Scraping IndiaMART Data, companies can monitor competitor pricing, supplier trends, and market fluctuations to stay ahead in the industry. This IndiaMART Data Scraper is designed for seamless integration, allowing businesses to analyze structured data effortlessly. Our services are available in Australia, Canada, Germany, France, Singapore, USA, UK, UAE, and India, ensuring global accessibility. Optimize your business strategy with accurate IndiaMART data today!

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What is IndiaMART Scraper, and How does it Work?

The IndiaMART Scraper is a powerful tool designed to scrape IndiaMART data and extract product details, prices, seller information, and contact details in real time. It helps businesses gather structured data for market analysis, competitor tracking, and supplier research. Using IndiaMART Data Scraping Services, the scraper automates data extraction by crawling IndiaMART listings, collecting relevant information, and delivering it in a structured format. With Web Scraping IndiaMART Data, businesses can optimize pricing strategies, identify trends, and make data-driven decisions effortlessly. Enhance your business insights with an efficient IndiaMART Scraper today!

Why extract data from IndiaMART?

Extracting data from IndiaMART helps businesses gain valuable insights and stay competitive in the market. Using the IndiaMART Scraper API, you can automate data collection for informed decision-making.

Key Benefits of Extracting IndiaMART Data
  • Market Analysis – Use IndiaMART Data Scraper to track product demand, pricing trends, and competitor strategies.
  • Competitor Insights – Scrape IndiaMART Data to analyze seller pricing, offers, and customer reviews.
  • Supplier Research – Find verified suppliers and compare rates using IndiaMART Data Scraping Services.
  • Lead Generation – Extract seller contact details through Web Scraping IndiaMART Data for direct business outreach.
  • Pricing Optimization – Monitor price fluctuations to set competitive rates and maximize profits.

By leveraging IndiaMART Scraper API, businesses can access real-time data and enhance their market strategies.

Is it legal to extract IndiaMART restaurant data?

Extracting IndiaMART restaurant data depends on compliance with legal and ethical guidelines. Web Scraping IndiaMART Data is allowed if done for publicly available information without violating terms of service, copyrights, or data privacy laws. Using an IndiaMART Scraper API responsibly, ensuring no misuse of personal or proprietary data, helps businesses stay compliant while leveraging IndiaMART Data Scraping Services for insights.

How can I extract food delivery data from IndiaMART?

Extracting food delivery data from IndiaMART requires an efficient IndiaMART Scraper API to collect restaurant details, menus, pricing, and supplier information. By using IndiaMART Data Scraping Services, businesses can automate data extraction for market research, competitor analysis, and pricing optimization.

Steps to Scrape IndiaMART Data for Food Delivery Insights:
  • Identify Data Requirements – Define the food delivery data you need, such as restaurant names, contact details, menus, prices, and customer reviews.
  • Use an IndiaMART Data Scraper – Implement a Web Scraping IndiaMART Data tool or API to extract real-time information from IndiaMART listings.
  • Data Extraction & Processing – The scraper will crawl food supplier and restaurant listings, gather structured data, and store it in a CSV, JSON, or database format.
  • Analyze Market Trends – Use scraped data to track menu pricing, competitor offerings, and supplier availability for better decision-making.
  • Ensure Compliance – Follow ethical web scraping practices to avoid violating IndiaMART’s terms of service or data privacy regulations.

Leverage IndiaMART Scraper API to access accurate food delivery data and enhance your business strategy!

Input Options

The IndiaMART Scraper API offers multiple input options to efficiently scrape IndiaMART data based on specific business needs. These flexible input methods allow users to extract relevant product, supplier, and pricing details with precision.

1. Keyword-Based Search
  • Input product or service keywords (e.g., "organic food suppliers", "restaurant equipment") to extract relevant listings.
  • Ideal for market research and competitor analysis.
2. Category-Based Search
  • Select specific IndiaMART categories (e.g., "food delivery services", "restaurant suppliers") for targeted data extraction.
  • Helps in analyzing industry trends and supplier networks.
3. Location-Based Search
  • Enter city, state, or country filters to extract regional business data (e.g., "food suppliers in Mumbai", "restaurant equipment in UAE").
  • Essential for geo-specific business expansion.
4. Seller/Company Name Search
  • Extract details of specific IndiaMART vendors by entering their names.
  • Useful for supplier verification and lead generation.
5. Custom Filters & Advanced Search
  • Use parameters like price range, ratings, business type, and certifications for refined results.

With flexible input options, IndiaMART Data Scraping Services provide highly customized and accurate data extraction for smarter business decisions!

Sample result of IndiaMART Data Scraper

When you scrape IndiaMART data using the IndiaMART Scraper API, you get structured data in formats like JSON, CSV, or database-ready formats. Below is a sample JSON output for a food supplier listing extracted from IndiaMART:

[
 {
  "business_name": "Fresh Organic Food Suppliers",
  "category": "Food & Beverages",
  "product_name": "Organic Rice",
  "price": "$20 per kg",
  "seller_name": "Green Harvest Pvt. Ltd.",
  "location": "Mumbai, India",
  "contact_number": "+91-9876543210",
  "email": "contact@greenharvest.com",
  "website": "https://www.greenharvest.com",
  "ratings": "4.5/5",
  "reviews": 120,
  "min_order_quantity": "50 kg",
  "available_stock": "5000 kg",
  "delivery_time": "3-5 business days",
  "payment_methods": ["UPI", "Credit Card", "Bank Transfer"]
 }
]
Key Data Extracted:
  • Business & Seller Information – Name, location, contact details.
  • Product Details – Name, category, price, stock availability.
  • Customer Insights – Ratings, reviews.
  • Logistics & Payment Options – Minimum order quantity, delivery time, accepted payments.

With IndiaMART Data Scraping Services, businesses can access real-time, structured data to enhance decision-making and market strategies!

Integrations with IndiaMART Data Scraper

The IndiaMART Scraper API seamlessly integrates with various tools and platforms, enabling businesses to scrape IndiaMART data efficiently and utilize it for market research, pricing analysis, and lead generation.

1. CRM Integration
  • Connect IndiaMART Data Scraper with CRM systems (Salesforce, HubSpot, Zoho) to automate lead management and supplier tracking.
2. Business Intelligence & Analytics
  • Export Web Scraping IndiaMART Data to BI tools like Tableau, Power BI, or Google Data Studio for detailed market insights.
3. E-commerce & ERP Systems
  • Sync IndiaMART Data Scraping Services with ERP platforms (SAP, Oracle, Microsoft Dynamics) for inventory management and supplier analysis.
4. API & Database Connectivity
  • Store scraped data in SQL, MongoDB, or cloud storage (AWS, Google Cloud, Azure) for real-time access.
5. Marketing & Automation Tools
  • Use extracted data with email marketing, automation, and advertising platforms to target potential buyers and suppliers.

Leverage the power of IndiaMART Scraper API for seamless integrations and data-driven business growth!

Executing IndiaMART Data Scraping Actor with Real Data API

The IndiaMART Scraper API by Real Data API empowers businesses to scrape IndiaMART data efficiently, providing access to real-time product listings, supplier details, pricing trends, and customer insights. By leveraging IndiaMART Data Scraping Services, businesses can make data-driven decisions and stay ahead in the market.

Key Benefits of IndiaMART Data Scraping:

Real-Time Market Insights – Stay updated with current product prices, demand trends, and competitor strategies.

Automated Data Collection – Save time and effort by scraping bulk IndiaMART data without manual searching.

Competitor & Supplier Analysis – Identify top suppliers, track competitor pricing, and compare product offerings.

Enhanced Lead Generation – Extract verified seller details, contact numbers, and business emails for direct outreach.

Optimized Pricing Strategy – Monitor price fluctuations and set competitive pricing for better sales.

Seamless Integration – Export data to BI tools, CRM systems, or ERP software for advanced analytics.

By using Web Scraping IndiaMART Data, businesses gain valuable insights to drive growth and maximize profits.

Start using the IndiaMART Scraper API today to unlock powerful market insights and scale your business! Contact us now.

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You should have a Real Data API account to execute the program examples. Replace YOUR_API_TOKEN in the program using the token of your actor. Read about the live APIs with Real Data API docs for more explanation.

import { RealdataAPIClient } from 'RealdataAPI-client';

// Initialize the RealdataAPIClient with API token
const client = new RealdataAPIClient({
    token: '',
});

// Prepare actor input
const input = {
    "startUrls": [
        "https://aliexpress.com/category/100003109/women-clothing.html",
        "https://www.aliexpress.com/item/32940810951.html"
    ],
    "maxItems": 10,
    "language": "en_US",
    "shipTo": "US",
    "currency": "USD",
    "proxy": {
        "useRealdataAPIProxy": true
    },
    "extendOutputFunction": ($) => { return {} }
};

(async () => {
    // Run the actor and wait for it to finish
    const run = await client.actor("epctex/aliexpress-scraper").call(input);

    // Fetch and print actor results from the run's dataset (if any)
    console.log('Results from dataset');
    const { items } = await client.dataset(run.defaultDatasetId).listItems();
    items.forEach((item) => {
        console.dir(item);
    });
})();

from RealdataAPI_client import RealdataAPIClient

# Initialize the RealdataAPIClient with your API token
client = RealdataAPIClient("")

# Prepare the actor input
run_input = {
    "startUrls": [
        "https://aliexpress.com/category/100003109/women-clothing.html",
        "https://www.aliexpress.com/item/32940810951.html",
    ],
    "maxItems": 10,
    "language": "en_US",
    "shipTo": "US",
    "currency": "USD",
    "proxy": { "useRealdataAPIProxy": True },
    "extendOutputFunction": "($) => { return {} }",
}

# Run the actor and wait for it to finish
run = client.actor("epctex/aliexpress-scraper").call(run_input=run_input)

# Fetch and print actor results from the run's dataset (if there are any)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# Set API token
API_TOKEN=<YOUR_API_TOKEN>

# Prepare actor input
cat > input.json <<'EOF'
{
  "startUrls": [
    "https://aliexpress.com/category/100003109/women-clothing.html",
    "https://www.aliexpress.com/item/32940810951.html"
  ],
  "maxItems": 10,
  "language": "en_US",
  "shipTo": "US",
  "currency": "USD",
  "proxy": {
    "useRealdataAPIProxy": true
  },
  "extendOutputFunction": "($) => { return {} }"
}
EOF

# Run the actor
curl "https://api.RealdataAPI.com/v2/acts/epctex~aliexpress-scraper/runs?token=$API_TOKEN" /
  -X POST /
  -d @input.json /
  -H 'Content-Type: application/json'

Additional Resources

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Documentation

Learn more about Real Data API actors
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API reference

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Start URLs

startUrls Optional Array

Links for the API, to begin with- you should use these category or product information links.

Max items

maxItems Optional Integer

Streamline the maximum number of products to scrape per execution.

Search terms

searchTerms Optional Array

Search query to use for full text search on the platform page.

Search in subcategories

searchInSubcategories Optional Array

Explains the scraper if it should also extract subcategories.

Language

language Optional String

Choose your language

Options:

You can choose any communication language like English, Spanish, German, etc.

Shipping to

shipTo Optional String

Choose your country's location.

You can choose any country among all the countries in the world, like the United States, England, Germany, France, Argentina, India, and others.

Currency

currency Optional String

Choose your currency

Depending on your location, and country, you can choose any currency among the existing ones worldwide, like USD, AUD, EURO, CAD, INR, etc.

Description

includeDescription Optional Boolean

Choose your currency

Mention product descriptions - but you may experience a slowdown of the scraper.

Max feedback count

maxFeedbacks Optional Integer

Fix the maximum feedback entry numbers.

Max Q&A count

maxQuestions Optional Integer

Set the maximum question and answer entries.

Proxy configuration

proxy Required Object

Feed your crawler with selected proxies.

Extend output function

extendOutputFunction Optional String

Function to manage NQuery handle as argument and reflect the data will merge with the generic result.

{
  "startUrls": [
    "https://aliexpress.com/category/100003109/women-clothing.html",
    "https://www.aliexpress.com/item/32940810951.html"
  ],
  "maxItems": 10,
  "searchInSubcategories": true,
  "language": "en_US",
  "shipTo": "US",
  "currency": "USD",
  "includeDescription": false,
  "maxFeedbacks": 0,
  "maxQuestions": 0,
  "proxy": {
    "useRealdataAPIProxy": true
  },
  "extendOutputFunction": "($) => { return {} }"
}

Where next?

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