# IndiaMART Product & Supplier Scraper (`fascinating_lentil/indiamart-b2b-supplier-scraper`) Actor Extract public IndiaMART product and supplier listing data for sourcing and market research: company, product, city, price, MOQ, ratings, verification badges, images, specifications, and source URLs. No phone numbers or emails. - **URL**: https://apify.com/fascinating\_lentil/indiamart-b2b-supplier-scraper.md - **Developed by:** [Md Jakaria Mirza](https://apify.com/fascinating_lentil) (community) - **Categories:** Business, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 supplier scrapeds 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 & Supplier Scraper Extract structured product and supplier listing facts from public IndiaMART category pages. Search by category keyword and optional city, then export company names, products, prices, MOQ, ratings, verification badges, images, specifications, and source URLs to JSON, CSV, Excel, HTML, or the Apify API. No login or API key is required. The Actor does not extract phone numbers, email addresses, GST numbers, or personal contact details. ### What It Extracts - Product and company names - Product and company URLs - Category keyword and listing type - City and state - Price, currency, unit, and minimum order quantity when available - Product image URL and specifications - Supplier badge, trust badges, member-since text, rating, and rating count - GST, mobile, and email verification status as boolean badges only - Scrape timestamp Missing source values are omitted. The Actor never invents prices, ratings, verification status, or contact information. ### Input | Field | Required | Default | Description | | --- | --- | --- | --- | | `keywords` | Yes | `["cotton fabric"]` | IndiaMART category keywords. | | `location` | No | empty | Optional city such as Mumbai or Jaipur. | | `maxResults` | No | `5` | Maximum records saved across all keywords. | | `includeOrganic` | No | `true` | Include visible organic category cards. | | `includeSponsored` | No | `true` | Include embedded sponsored/all-India records. | | `proxyConfiguration` | No | Residential India | Proxy used for public category-page access. | ### Example Input ```json { "keywords": ["cotton fabric"], "location": "", "maxResults": 5, "includeOrganic": true, "includeSponsored": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "IN" } } ```` ### Example Output ```json { "sourceType": "organic", "keyword": "cotton fabric", "categoryName": "Cotton Fabric", "sourceListingId": "dispId23205079862", "productName": "Plain Cotton Fabric", "companyName": "Example Textiles Private Limited", "city": "Ludhiana", "state": "Punjab", "productUrl": "https://www.indiamart.com/proddetail/plain-cotton-fabric-23205079862.html", "companyUrl": "https://www.example-textiles.com/", "imageUrl": "https://5.imimg.com/data5/example-500x500.jpg", "price": "INR 130/Meter", "currency": "INR", "unit": "Meter", "supplierBadge": "Leading Supplier", "trustBadges": ["Verified Exporter", "9 yrs"], "rating": 3.9, "ratingCount": 793, "gstVerified": true, "contactActionAvailable": true, "scrapedAt": "2026-07-13T00:00:00.000Z" } ``` Example values are illustrative. Actual output comes from the live public source. ### Billing and Spending Limits The Actor keeps the existing Pay Per Event price of `$0.003` per saved `supplier-scraped` record. Each row is saved and charged atomically. Failed requests, blocked pages, invalid categories, and empty responses do not trigger the primary event. The run stops immediately when the user's spending limit is reached. ### Use Cases - Compare public product and price signals by category - Build auditable supplier shortlists for sourcing research - Monitor category coverage, MOQ, and verification badges - Feed structured public business-listing facts into spreadsheets, reports, APIs, and AI workflows ### Known Limits - IndiaMART may change its category markup or anti-bot behavior without notice. - Some keywords do not map directly to an IndiaMART category slug. - Prices, MOQ, ratings, and badges are returned only when present on the source page. - City/category URL combinations depend on IndiaMART's public URL structure. - This Actor is not affiliated with IndiaMART. ### Responsible Use Use this Actor only for lawful collection of public, non-personal business-listing information. Follow IndiaMART's terms, robots.txt, applicable privacy laws, India's DPDP Act, and local regulations. Do not use the output for spam, harassment, or unlawful profiling. ### License Apache-2.0. See `LICENSE`. # Actor input Schema ## `keywords` (type: `array`): IndiaMART category keywords. The actor converts each keyword to a category URL, for example cotton fabric -> /impcat/cotton-fabric.html. ## `location` (type: `string`): Optional city filter, for example Mumbai or Jaipur. Leave empty for all-India category pages. ## `maxResults` (type: `integer`): Maximum clean supplier records to save across all keywords. ## `includeOrganic` (type: `boolean`): Extract visible organic supplier/product cards from the category page. ## `includeSponsored` (type: `boolean`): Extract sponsored/all-India records from embedded page data when available. ## `proxyConfiguration` (type: `object`): Residential India proxy is recommended for stable access to IndiaMART category pages. ## Actor input object example ```json { "keywords": [ "cotton fabric", "industrial pump", "packaging machine" ], "location": "", "maxResults": 5, "includeOrganic": true, "includeSponsored": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } } ``` # Actor output Schema ## `results` (type: `string`): Dataset items containing product, company, location, price, MOQ, rating, verification, image, specification, and source URL fields. # 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 = { "keywords": [ "cotton fabric" ], "location": "", "maxResults": 5, "includeOrganic": true, "includeSponsored": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } }; // Run the Actor and wait for it to finish const run = await client.actor("fascinating_lentil/indiamart-b2b-supplier-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 = { "keywords": ["cotton fabric"], "location": "", "maxResults": 5, "includeOrganic": True, "includeSponsored": True, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "IN", }, } # Run the Actor and wait for it to finish run = client.actor("fascinating_lentil/indiamart-b2b-supplier-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 '{ "keywords": [ "cotton fabric" ], "location": "", "maxResults": 5, "includeOrganic": true, "includeSponsored": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } }' | apify call fascinating_lentil/indiamart-b2b-supplier-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fascinating_lentil/indiamart-b2b-supplier-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "IndiaMART Product & Supplier Scraper", "description": "Extract public IndiaMART product and supplier listing data for sourcing and market research: company, product, city, price, MOQ, ratings, verification badges, images, specifications, and source URLs. No phone numbers or emails.", "version": "1.0", "x-build-id": "O5TolBSrEcThMuGul" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fascinating_lentil~indiamart-b2b-supplier-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fascinating_lentil-indiamart-b2b-supplier-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/fascinating_lentil~indiamart-b2b-supplier-scraper/runs": { "post": { "operationId": "runs-sync-fascinating_lentil-indiamart-b2b-supplier-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/fascinating_lentil~indiamart-b2b-supplier-scraper/run-sync": { "post": { "operationId": "run-sync-fascinating_lentil-indiamart-b2b-supplier-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keywords" ], "properties": { "keywords": { "title": "Category Keywords", "type": "array", "description": "IndiaMART category keywords. The actor converts each keyword to a category URL, for example cotton fabric -> /impcat/cotton-fabric.html.", "items": { "type": "string" } }, "location": { "title": "Location", "type": "string", "description": "Optional city filter, for example Mumbai or Jaipur. Leave empty for all-India category pages.", "default": "" }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum clean supplier records to save across all keywords.", "default": 5 }, "includeOrganic": { "title": "Include Organic Cards", "type": "boolean", "description": "Extract visible organic supplier/product cards from the category page.", "default": true }, "includeSponsored": { "title": "Include Sponsored Data", "type": "boolean", "description": "Extract sponsored/all-India records from embedded page data when available.", "default": true }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Residential India proxy is recommended for stable access to IndiaMART category pages.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } } } }, "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 } } } } } } } } } } ```