🏭 IndiaMART Scraper

🚀 Pull Indian B2B suppliers from IndiaMART in minutes. Names, contacts, products, locations across 130+ categories. No login, no API key.

🕒 Last updated: 2026-05-09 · 📊 20+ fields per supplier · 🏭 130+ product categories · 🚫 No auth required

Pull live B2B supplier listings from IndiaMART, India's largest B2B marketplace with millions of suppliers across hundreds of product categories. The actor accepts a product category slug, walks the IndiaMART results, and returns one structured record per supplier ready for procurement, supply chain research, lead generation, or B2B sales prospecting.

Every run fetches data live so you get the current state of IndiaMART at run time. Records include the supplier name, contact person, location (city, state), phone, email, GST number, products offered, business type (manufacturer, supplier, exporter), member-since year, and a back-reference URL.

👥 Built for	🎯 Primary use cases
Procurement and sourcing	Source verified Indian suppliers by category
Supply chain research	Map Indian B2B suppliers across industries
B2B sales and lead-gen	Build prospect lists for India outbound
Trade and export agencies	Source manufacturer contacts for buyers
Researchers	Study Indian B2B market dynamics
Quality and compliance	Vet suppliers by year-established and GST status

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📋 What the IndiaMART Scraper does

• 🏭 Category-driven search. 130+ product categories from stainless-steel to solar-panels.
• 👤 Supplier contact info. Name, contact person, phone, email where exposed.
• 📍 Location. City and state.
• 🏷️ Business type. Manufacturer, trader, supplier, exporter classification.
• 📜 GST number. Verified GST registration where exposed.
• 🗓️ Member since. Year the supplier joined IndiaMART.

The scraper walks the IndiaMART category page for the slug you provide, fetches each supplier's listing, and pushes structured records to the dataset.

💡 Why it matters: IndiaMART is the largest B2B marketplace in India with over 7 million suppliers. Its UI is paginated, JS-rendered, and lacks bulk export. A live, structured pull beats manual sourcing for procurement, supply chain mapping, and B2B sales.

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🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing setup, a live run, and how to pipe results into Salesforce or HubSpot via Apify integrations.

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⚙️ Input

Field	Type	Name	Description
category	enum	Product Category	One of 130+ category slugs (e.g. stainless-steel, solar-panels, cotton-fabric).
maxItems	integer	Max Items	Free users: limited to 10 items (preview). Paid users: optional, max 1,000,000.

Example 1. Stainless steel suppliers.

{
  "category": "stainless-steel",
  "maxItems": 50
}

Example 2. Cotton fabric exporters and traders.

{
  "category": "cotton-fabric",
  "maxItems": 100
}

⚠️ Good to Know: the category must be one of the supported slugs from the input enum. New slugs are added regularly; reach out via the contact form to request additions.

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📊 Output

The dataset returns one structured record per supplier. Each record carries identifiers, supplier name, contact, location, business type, products offered, GST number, member-since year, and a back-reference URL. Consume the dataset as JSON, CSV, Excel, XML, or RSS via the Apify console or API.

🧾 Schema

Field	Type	Example
🆔 supplierId	string	IM-12345678
🏢 supplierName	string	Acme Steel Industries
👤 contactPerson	string	Rajesh Kumar
🏷️ businessType	string	Manufacturer
📍 city	string	Mumbai
📍 state	string	Maharashtra
🌍 country	string	India
📞 phone	string	+91 22 1234 5678
📧 email	string or null	info@acmesteel.in
📜 gstNumber	string or null	27AAACZ1234A1ZP
🗓️ memberSinceYear	number	2014
🛠️ products	array	["Stainless Steel Sheets", "Stainless Steel Pipes"]
🏷️ category	string	stainless-steel
🔗 supplierUrl	string (url)	https://www.indiamart.com/acmesteel-mumbai/
📅 scrapedAt	ISO datetime	2026-05-09T12:00:00.000Z

📦 Sample records

1. Typical record (manufacturer with full info)

{
  "supplierId": "IM-12345678",
  "supplierName": "Acme Steel Industries",
  "contactPerson": "Rajesh Kumar",
  "businessType": "Manufacturer",
  "city": "Mumbai",
  "state": "Maharashtra",
  "country": "India",
  "phone": "+91 22 1234 5678",
  "email": "info@acmesteel.in",
  "gstNumber": "27AAACZ1234A1ZP",
  "memberSinceYear": 2014,
  "products": ["Stainless Steel Sheets", "Stainless Steel Pipes", "SS Tubes"],
  "category": "stainless-steel",
  "supplierUrl": "https://www.indiamart.com/acmesteel-mumbai/",
  "scrapedAt": "2026-05-09T12:00:00.000Z"
}

2. Trader/exporter

{
  "supplierId": "IM-22334455",
  "supplierName": "Bharat Cotton Exports",
  "contactPerson": "Priya Sharma",
  "businessType": "Trader / Exporter",
  "city": "Ahmedabad",
  "state": "Gujarat",
  "country": "India",
  "phone": "+91 79 8765 4321",
  "memberSinceYear": 2018,
  "products": ["Cotton Fabric", "Cotton Yarn"],
  "category": "cotton-fabric",
  "supplierUrl": "https://www.indiamart.com/bharatcotton-ahmedabad/",
  "scrapedAt": "2026-05-09T12:00:00.000Z"
}

3. Sparse record (small supplier, minimal info)

{
  "supplierId": "IM-99999999",
  "supplierName": "Local Solar Solutions",
  "city": "Pune",
  "state": "Maharashtra",
  "country": "India",
  "phone": "+91 20 1234 5678",
  "memberSinceYear": 2023,
  "products": ["Solar Panels"],
  "category": "solar-panels",
  "supplierUrl": "https://www.indiamart.com/localsolar-pune/",
  "scrapedAt": "2026-05-09T12:00:00.000Z"
}

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✨ Why choose this Actor

	Capability
🎯	Built for the job. Scoped specifically to IndiaMART so you skip the parser engineering entirely.
🔖	Structured output. Clean, typed fields ready for analysis, dashboards, or downstream pipelines.
⚡	Fast. Optimized request patterns return results in seconds, not minutes.
🔁	Always fresh. Every run pulls live data, so the dataset reflects IndiaMART as of run time.
🌐	No infra to manage. Apify handles proxies, retries, scaling, scheduling, and storage.
🛡️	Reliable. Battle-tested across many runs and edge cases, with graceful error handling.
🚫	No code required. Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK.

📊 Production-grade structured Indian B2B supplier data without the engineering overhead of building and maintaining your own scraper.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
⭐ IndiaMART Scraper (this Actor)	$5 free credit, then pay-per-use	Full IndiaMART catalog (130+ categories)	Live per run	Category-based	⚡ 2 min
Build your own scraper	Engineering hours	Full once built	Whenever you maintain it	Custom code	🐢 Days to weeks
Paid B2B databases	$$$ monthly per seat	Vendor-defined	Periodic	Vendor-defined	⏳ Hours
Manual lookups	Hours per check	Limited	Stale	Manual	🕒 Variable

Pick this Actor when you want broad coverage, source-native filtering, and no pipeline maintenance.

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🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the IndiaMART Scraper page on the Apify Store.
3. 🎯 Pick category. Choose a product category and set maxItems.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

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💼 Business use cases

📊 Procurement and sourcing Source verified Indian suppliers by category Build approved-vendor lists with GST validation Identify manufacturers vs traders for direct sourcing Track member-since year for trust scoring	🏢 Supply chain mapping Map Indian B2B suppliers across industries Build supplier landscapes for diligence Surface concentration risk in your supply base Track supplier presence by city and state
🎯 B2B sales and BD Build outbound prospect lists for India sales Source supplier contacts for marketplace expansion Power CRM enrichment for SMB-focused services Build referral pipelines for trade finance	🛠️ Engineering and product Prototype B2B-data products without owning a crawler Replace fragile in-house IndiaMART scrapers Wire datasets into your apps via the Apify API or webhooks Skip the proxy, retry, and parsing maintenance entirely

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🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Empirical datasets for papers, thesis work, and coursework Longitudinal studies tracking changes across snapshots Reproducible research with cited, versioned data pulls Classroom exercises on data analysis and ethical scraping	🎨 Personal and creative Side projects, portfolio demos, and indie app launches Data visualizations, dashboards, and infographics Content research for bloggers, YouTubers, and podcasters Hobbyist collections and personal trackers
🤝 Non-profit and civic Transparency reporting and accountability projects Advocacy campaigns backed by public-interest data Community-run databases for local issues Investigative journalism on public records	🧪 Experimentation Prototype AI and machine-learning pipelines with real data Validate product-market hypotheses before engineering spend Train small domain-specific models on niche corpora Test dashboard concepts with live input

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🔌 Automating IndiaMART Scraper

This Actor exposes a REST endpoint, so you can drive it from any language or workflow tool.

• Node.js - call it via the Apify JS SDK.
• Python - call it via the Apify Python SDK.
• REST - hit it directly through the Apify v2 API.

Schedules. Use Apify Scheduler to capture daily snapshots of supplier listings. Combine with the Apify dataset diff tools to track new suppliers between runs.

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💰 How much does it cost?

Apify gives you $5 in free monthly credits on the Apify Free plan, enough to test IndiaMART Scraper and pull a real sample dataset. For ongoing usage:

• Starter plan ($49/month) — Recommended for individuals running IndiaMART Scraper regularly. Includes higher concurrency and larger datasets.
• Scale plan ($499/month) — Recommended for teams running IndiaMART Scraper at production scale.

Pay-Per-Event pricing means you only pay for what you actually use. Failed runs are never charged. See the Pricing tab on this Actor's page for exact event prices.

💡 Tips for using IndiaMART Scraper

• Start with a small maxItems (3-10) to validate output format before running larger jobs.
• Use Apify Schedules to run IndiaMART Scraper on a recurring basis and keep your dataset fresh.
• Export via Integrations: Apify connects to Google Sheets, Airbyte, Make, Zapier, and direct webhooks — pipe your data anywhere.
• Monitor with webhooks: trigger downstream workflows the moment a run finishes.
• Re-run failed items: if any individual records error out, re-run with their inputs only. Failed events are not charged.

⚖️ Is it legal to use IndiaMART Scraper?

Yes. IndiaMART Scraper only collects publicly available data. Web scraping public data has been confirmed as legal by US courts (see hiQ Labs v. LinkedIn) and is widely used for research, market analysis, and business intelligence.

However, you are responsible for:

• Respecting the source website's Terms of Service.
• Complying with GDPR, CCPA, and other applicable data-protection laws when personal data is involved.
• Not republishing copyrighted content without permission.

If you have specific compliance concerns, consult your legal team. See the Apify legal docs for more.

❓ Frequently Asked Questions

🔌 Integrate with any app

IndiaMART Scraper connects to any cloud service via Apify integrations:

• Make - Automate multi-step workflows
• Zapier - Connect with 5,000+ apps
• Slack - Get run notifications in your channels
• Airbyte - Pipe results into your warehouse
• GitHub - Trigger runs from commits and releases
• Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes.

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🔗 Recommended Actors

• 🏢 Dun & Bradstreet Company Scraper - 500M+ business directory with DUNS
• 🌐 Globalsources Scraper - Asian B2B supplier marketplace
• 🏭 Made-in-China Scraper - Chinese B2B manufacturers
• 🚛 FMCSA SAFER Scraper - U.S. motor carrier safety records
• 📦 Importyeti Scraper - U.S. import shipment records

💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.

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🆘 Need Help? Open our contact form to request a new scraper, propose a custom project, or report an issue.

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⚠️ Disclaimer. This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by IndiaMART InterMESH Ltd. All trademarks mentioned are the property of their respective owners. The scraper accesses only publicly available pages and is intended for legitimate research, analytics, and lead-generation use. Users are responsible for compliance with the source site's Terms of Service and applicable law.