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Indiamart Discovery Scraper

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from $9.00 / 1,000 results

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Indiamart Discovery Scraper

Indiamart Discovery Scraper

The INDIAMART DISCOVERY SCRAPER efficiently extracts detailed product data from IndiaMART, aiding strategic insights. Key features include customizable searches, high data quality, proxy support, and scalable performance. Export data in JSON, CSV, or Excel for seamless integration.

Pricing

from $9.00 / 1,000 results

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0.0

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Developer

GetDataForMe

GetDataForMe

Maintained by Community

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0

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2

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1

Monthly active users

2 days ago

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Introduction

The INDIAMART DISCOVERY SCRAPER is designed to efficiently extract product information from IndiaMART, one of India's largest online marketplaces. This Actor enables users to gather detailed data on products, sellers, and pricing, facilitating informed decision-making and strategic business insights.

Features

  • Comprehensive Data Extraction: Scrapes detailed product information including title, price, seller details, and more.
  • High Data Quality: Ensures accurate and up-to-date information from IndiaMART listings.
  • Customizable Search: Allows users to specify search queries and limit the number of results.
  • Proxy Support: Utilizes Apify's residential proxies for secure and anonymous scraping.
  • Scalable Performance: Capable of handling large volumes of data efficiently.
  • User-Friendly Interface: Easy setup and configuration through Apify's platform.
  • Versatile Output Formats: Export data in JSON, CSV, or Excel formats for seamless integration.

Input Parameters

ParameterTypeRequiredDescriptionExample
searchQueryStringYesKeyword to search for products on IndiaMART."washing machine"
maxItemsIntegerNoMaximum number of auction results to scrape.100
proxyConfigurationObjectNoSpecifies proxy servers used by the scraper.{ "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }

Example Usage

Input JSON

{
"searchQuery": "washing machine",
"maxItems": 100,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": ["RESIDENTIAL"]
}
}

Output JSON

[
{
"id": "2849500901273",
"scraped_at": "2026-04-20T10:28:31.733Z",
"product_id": "2849500901273",
"title": "Automatic Vegetable Washing Machine",
"price": "₹600000/Piece",
"price_value": 600000,
"moq": "1",
"company_name": "Dairy Man Engineering",
"seller_rating": 4.2,
"city": "Coimbatore",
"state": "Tamil Nadu",
"images": [
"http://5.imimg.com/data5/SELLER/Default/2022/12/VJ/NE/LD/3378846/vegetable-washer-125x125.jpg",
"http://5.imimg.com/data5/SELLER/Default/2022/12/VJ/NE/LD/3378846/vegetable-washer-250x250.jpg",
"http://5.imimg.com/data5/SELLER/Default/2022/12/VJ/NE/LD/3378846/vegetable-washer-500x500.jpg",
"http://5.imimg.com/data5/SELLER/Default/2022/12/VJ/NE/LD/3378846/vegetable-washer-1000x1000.jpg"
],
"product_url": "https://www.indiamart.com/proddetail/automatic-vegetable-washing-machine-2849500901273.html",
"description": "Suitable for washing all kinds of fruits and vegetables. The unique feature of the machine is that it can be used to wash leafy vegetables as well, that normally have a tendency to float on water."
}
]

Use Cases

  • Market Research and Analysis: Gather comprehensive product data for market trends and consumer preferences.
  • Competitive Intelligence: Monitor competitors' product offerings and pricing strategies.
  • Price Monitoring: Track price changes and availability of products over time.
  • Content Aggregation: Compile product information for websites or applications.
  • Academic Research: Analyze market dynamics and consumer behavior.
  • Business Automation: Automate data collection for business intelligence systems.

Installation and Usage

1. Search for "INDIAMART DISCOVERY SCRAPER" in the Apify Store
2. Click "Try for free" or "Run"
3. Configure input parameters
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 output is a JSON array containing objects with fields such as id, scraped_at, product_id, title, price, price_value, moq, company_name, seller_rating, city, state, images, product_url, and description. Each field provides specific details about the product and seller.

Support

For custom/simplified outputs or bug reports, please contact:

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