# IndiaMART Product Scraper (`jungle_synthesizer/indiamart-scraper`) Actor Scrape product listings and supplier data from IndiaMART's B2B export marketplace. Extract product names, prices, MOQ, supplier details, locations, GST/IEC verification status, ratings, and export history. Search by product keyword with automatic pagination. - **URL**: https://apify.com/jungle\_synthesizer/indiamart-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** E-commerce, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## IndiaMART Product Scraper Scrape product listings and supplier data from [IndiaMART's B2B export marketplace](https://export.indiamart.com). Search by product keyword and get back structured records: prices, MOQ, supplier details, GST/IEC verification status, ratings, and export credentials. --- ### IndiaMART Product Scraper Features - Extracts 25+ fields per listing — product name, price, MOQ, unit type, supplier name, location, ratings, and contact info - Filters results by search keyword — run multiple queries in one pass with automatic pagination - Returns GST and IEC verification flags so you can tell verified exporters from everyone else at a glance - Collects supplier metadata — member since, exporter since, rating count, catalog URL - Handles pagination automatically — follows pages until results are exhausted or you hit `maxItems` - Runs via IndiaMART's internal JSON API — no browser, no HTML parsing, no guesswork --- ### What Can You Do With IndiaMART Data? - **B2B sourcing teams** — build a shortlist of suppliers for a product category with price, MOQ, and verification status already populated - **Export compliance** — filter verified IEC holders and GST-registered suppliers before initiating contact - **Market research** — track price ranges and supplier density for a product keyword across Indian manufacturing regions - **CRM enrichment** — backfill company records with supplier ratings, location, and catalog URLs from IndiaMART listings - **Lead generation** — extract contact-ready supplier profiles for outbound campaigns targeting Indian B2B exporters - **Competitive intelligence** — monitor new entrants and pricing changes in a product vertical --- ### How IndiaMART Product Scraper Works 1. Provide one or more product keywords in `searchTerms` — for example, `cotton fabric`, `steel pipes`, `brass fittings`. 2. The scraper queries IndiaMART's export search API for each term, following pagination until results run out or `maxItems` is reached. 3. Each result record is parsed and normalized — prices become numbers, verification flags become booleans, category arrays get flattened to strings. 4. Data lands in the Apify dataset as clean, flat JSON — one record per listing, ready to export. --- ### Input ```json { "searchTerms": ["cotton fabric", "steel pipes"], "maxItems": 50 } ```` | Field | Type | Default | Description | |-------|------|---------|-------------| | `searchTerms` | array | — | Product keywords to search. One or more strings. Required. | | `maxItems` | integer | 0 (unlimited) | Max records per search term. `0` returns all available results. | *** ### IndiaMART Product Scraper Output Fields ```json { "productId": "55893521", "productName": "Grey Cotton Fabric", "productUrl": "https://www.indiamart.com/proddetail/grey-cotton-fabric-55893521.html", "price": 120, "priceFormatted": "INR 120", "currency": "INR", "unit": "Meter", "moq": 500, "moqUnit": "Meter", "companyName": "Sai Textiles Pvt Ltd", "companyUrl": "https://www.indiamart.com/sai-textiles/", "supplierId": "7312890", "city": "Surat", "state": "Gujarat", "country": "India", "supplierRating": 4.2, "ratingCount": 38, "isVerifiedExporter": true, "isGstVerified": true, "isIecVerified": true, "gstNumber": "24AABCS1681Q1ZL", "iecNumber": "3305012345", "memberSince": "3 Yrs", "exporterSince": "2021-03-15", "imageUrl": "https://5.imimg.com/data5/cotton-fabric.jpg", "categories": "Cotton Fabric, Grey Fabric", "description": "We offer high-quality grey cotton fabric in 40s count for export.", "searchTerm": "cotton fabric", "scrapedAt": "2026-05-26T12:30:00.000Z" } ``` | Field | Type | Description | |-------|------|-------------| | `productId` | string | Unique product/listing identifier | | `productName` | string | Product name or title | | `productUrl` | string | Direct URL to the product detail page | | `price` | number | Listed price (null if not available) | | `priceFormatted` | string | Price with currency symbol (e.g. `INR 120`) | | `currency` | string | Currency code, typically `INR` | | `unit` | string | Price unit (e.g. Piece, Kg, Meter) | | `moq` | number | Minimum order quantity | | `moqUnit` | string | MOQ unit type | | `companyName` | string | Supplier or manufacturer company name | | `companyUrl` | string | Supplier catalog URL on IndiaMART | | `supplierId` | string | Unique supplier identifier | | `city` | string | Supplier city | | `state` | string | Supplier state | | `country` | string | Supplier country | | `supplierRating` | number | Rating score (1–5 scale) | | `ratingCount` | number | Number of ratings received | | `isVerifiedExporter` | boolean | Whether the supplier is a verified exporter | | `isGstVerified` | boolean | Whether GST registration is verified | | `isIecVerified` | boolean | Whether IEC (Importer Exporter Code) is verified | | `gstNumber` | string | GST registration number | | `iecNumber` | string | IEC number | | `memberSince` | string | How long the supplier has been a member | | `exporterSince` | string | When the supplier became an exporter | | `imageUrl` | string | Primary product image URL | | `categories` | string | Comma-separated product category names | | `description` | string | Short product description | | `searchTerm` | string | The search keyword that returned this result | | `scrapedAt` | string | ISO timestamp when this record was scraped | *** ### 🔍 FAQ #### How do I scrape IndiaMART product listings? IndiaMART Product Scraper handles it. Provide one or more search keywords, set an optional `maxItems` limit per keyword, and run. Results come back as structured JSON with prices, supplier info, and verification flags already parsed. #### What does IndiaMART Product Scraper cost to run? Approximately $0.001 per record at standard pricing, plus a $0.10 flat start fee. Searching `cotton fabric` with no item cap typically returns 20–40 records depending on market depth — under $0.15 total. Cost scales linearly with result count. #### Can I search multiple product keywords at once? Yes. Pass an array to `searchTerms` and the scraper runs each keyword in sequence, paginating through results. Each record includes a `searchTerm` field so you can segment by query in downstream processing without re-running. #### Does IndiaMART Product Scraper return supplier contact info? It returns `companyName`, `companyUrl`, `city`, `state`, and supplier ID. Direct contact details (phone, email) are behind IndiaMART's login wall and not available in the public search API. #### Does the scraper require proxies? It uses residential proxies internally — IndiaMART blocks standard datacenter IPs at the API level. Handled automatically. You don't need to configure anything. *** ### Need More Features? Need additional fields, different search modes, or a custom keyword list? [File an issue](https://console.apify.com/actors/issues) or get in touch. ### Why Use IndiaMART Product Scraper? - **Complete supplier record** — 25+ fields per listing including GST/IEC verification status, which most IndiaMART scrapers skip - **Multi-keyword in one run** — pass an array of search terms and get all results in a single dataset with `searchTerm` tagging each record, so you can segment downstream without re-running - **API-backed, no browser required** — queries IndiaMART's internal JSON API directly, which means faster runs and lower cost than browser-based alternatives # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `searchTerms` (type: `array`): List of product keywords to search for on IndiaMART ## `maxItems` (type: `integer`): Maximum number of records to return per search term (0 = unlimited) ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "searchTerms": [ "cotton fabric", "steel pipes" ], "maxItems": 15 } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "searchTerms": [ "cotton fabric", "steel pipes" ], "maxItems": 15 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/indiamart-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "searchTerms": [ "cotton fabric", "steel pipes", ], "maxItems": 15, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/indiamart-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "searchTerms": [ "cotton fabric", "steel pipes" ], "maxItems": 15 }' | apify call jungle_synthesizer/indiamart-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/indiamart-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "IndiaMART Product Scraper", "description": "Scrape product listings and supplier data from IndiaMART's B2B export marketplace. Extract product names, prices, MOQ, supplier details, locations, GST/IEC verification status, ratings, and export history. Search by product keyword with automatic pagination.", "version": "0.1", "x-build-id": "jeOxOwnAIFQBU9ekb" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~indiamart-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-indiamart-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~indiamart-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-indiamart-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~indiamart-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-indiamart-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "searchTerms" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "searchTerms": { "title": "Search Terms", "type": "array", "description": "List of product keywords to search for on IndiaMART", "items": { "type": "string" } }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of records to return per search term (0 = unlimited)", "default": 0 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```