# IndiaMART Listings Scraper (`piotrv1001/indiamart-listings-scraper`) Actor The IndiaMART Listings Scraper extracts product listings and enriched detail records from IndiaMART category, city, and search pages, capturing names, prices, images, full spec tables, supplier GST/IEC verification, ratings, and exports-to countries — ideal for B2B sourcing and pricing analysis. - **URL**: https://apify.com/piotrv1001/indiamart-listings-scraper.md - **Developed by:** [FalconScrape](https://apify.com/piotrv1001) (community) - **Categories:** E-commerce, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 product listings 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 Listings Scraper Extract product listings, suppliers, and prices from **[IndiaMART](https://www.indiamart.com/)** — India's largest B2B marketplace. The **IndiaMART Listings Scraper** turns category pages, city-category pages, search queries, and individual product pages into clean, structured JSON for sourcing, pricing analysis, and supplier discovery. ### ✨ Features - 🏷️ **Rich product data**: name, price, MOQ, image set, city/state, top specs, and direct `/proddetail/` URL. - 🏢 **Supplier intelligence on the detail layer**: company name, GST/IEC verification flags, TrustSeal status, supplier rating, years of export experience, and exports-to countries. - 🔍 **Flexible inputs**: mix and match `impcat` category pages, city-category pages, full search queries, and individual product URLs in a single run. - 🎚️ **Two-tier extraction**: cheap shallow listings by default; toggle `includeDetails` to fetch full product detail pages with the complete spec table, seller `Basic_Information`, and category IDs. - ⚡ **Fast & lightweight**: pure HTTP + Cheerio (no headless browser), so runs are cheap and fast. ### 🛠️ How It Works 1. **Provide inputs** — any combination of: - `startUrls`: `impcat`, city-category, search, or `proddetail` URLs. - `searchQueries`: free-text keywords (e.g. `"led bulb"`) — fetched via `dir.indiamart.com/search.mp` which redirects to `export.indiamart.com`. 2. **Pick your depth** — leave `includeDetails: false` for fast shallow scraping, or flip it on to enrich every listing card with its full product-detail record. 3. **Cap your run** — set `maxProducts` to limit how many records the actor pushes. 4. **Run the actor** — results stream into the dataset and can be downloaded as JSON, CSV, Excel, or HTML. ### ⚙️ Input Configure the run via the Apify Console form or by passing JSON to the API. | Field | Type | Required | Default | Description | | --- | --- | --- | --- | --- | | `startUrls` | `Array<{ url: string }>` | no* | — | Any mix of IndiaMART URLs: `impcat` category pages (`https://dir.indiamart.com/impcat/led-bulb.html`), city-category pages (`https://dir.indiamart.com/delhi/led-bulb.html`), product detail pages (`https://www.indiamart.com/proddetail/...`), or search URLs (`https://dir.indiamart.com/search.mp?ss=...`). | | `searchQueries` | `string[]` | no* | `[]` | Free-text search keywords. Each query is fetched via `dir.indiamart.com/search.mp?ss=` and yields rich export-search records (price, MOQ, GST/IEC, seller rating, exports-to). | | `includeDetails` | `boolean` | no | `false` | When `true`, every listing card discovered on a category/search page is also fetched as a full product detail page (JSON-LD + `__NEXT_DATA__` extraction with the complete spec table, seller `Basic_Information`, and category IDs). | | `includeRelatedCategories` | `boolean` | no | `true` | IndiaMART has no real pagination, so to fulfil `maxProducts` from a single category page the scraper follows up to 8 related-category links (one hop only — no transitive fan-out). Disable for strict single-page extraction. | | `maxProducts` | `integer` | no | `50` | Maximum number of records pushed to the dataset. Use `0` for unlimited. | | `proxyConfiguration` | `object` | no | `{ "useApifyProxy": false }` | Standard Apify proxy configuration. IndiaMART does not require a proxy for moderate volumes; enable it if you hit rate limits. | \* At least one of `startUrls` or `searchQueries` must be provided. #### Example input ```json { "startUrls": [ { "url": "https://dir.indiamart.com/impcat/led-bulb.html" }, { "url": "https://dir.indiamart.com/delhi/led-bulb.html" } ], "searchQueries": ["brick making machine", "industrial inverter"], "includeDetails": true, "maxProducts": 200 } ```` ### 📊 Sample Output Data #### Shallow listing (from a category or search page) ```json { "source": "impcat", "url": "https://www.indiamart.com/proddetail/white-led-bulb-8034060848.html", "id": "8034060848", "name": "Compact White LED Bulb, 6 W - 10 W, Voltage: 230 V", "price": { "raw": "₹ 380", "value": 380, "currency": "INR", "unit": "Piece" }, "image": "https://5.imimg.com/data5/SELLER/Default/2023/8/.../white-led-bulb-500x500.jpg", "city": "Chennai", "seller": { "name": "Lakshmi Corporations", "catalogUrl": "https://www.lakshmicorporations.com/" }, "specs": { "Brand": "Compact", "Voltage": "230 V", "Usage/Application": "Home", "Color": "White, Blue, Green, Pink, Red, Yellow" }, "scrapedAt": "2026-05-19T16:33:04.161Z" } ``` #### Enriched product detail (`/proddetail/...`) ```json { "source": "proddetail", "url": "https://www.indiamart.com/proddetail/brick-making-machine-21492440397.html", "id": "21492440397", "name": "Brick Making Machine", "price": { "raw": "8500000", "value": 8500000, "currency": "INR" }, "image": "https://5.imimg.com/data5/SELLER/Default/2026/5/.../brick-making-machine-500x500.jpg", "seller": { "name": "Revomac Industries", "glusrid": "33717397" }, "specs": { "Automation Grade": "Semi Automatic, Automatic", "Method": "Autoclave Aerated", "Brick Type": "Hollow, Solid, Paver", "Brand": "Revomac", "Warranty": "1 Year", "Ships from": "Ahmedabad" }, "category": { "mcatId": "5385", "mcatName": "Brick Making Machines", "catId": "151", "catName": "Building & Construction Machines" }, "business": { "type": "Manufacturer" }, "city": "Ahmedabad", "state": "Gujarat" } ``` #### Export search result (rich, with GST/IEC verification) ```json { "source": "search", "id": "25490838955", "name": "LED Bulb DOME 30W / 40W/ 50W", "price": { "raw": "₹ 145.00", "value": 145, "currency": "INR", "unit": "Piece", "moq": 5 }, "state": "Haryana", "seller": { "name": "Aarnova Technologies Private Limited", "rating": 4.1, "ratingCount": 280, "isVerified": true, "isGSTVerified": true, "isIECVerified": true, "exportSince": "21+ yrs", "exportsTo": ["Nepal", "Bangladesh", "Saudi Arabia"] }, "specs": { "Base Type": "B22", "Light Color": "Cool Daylight" } } ``` ### 💰 Pricing Pay-Per-Event — you only pay for what you extract: - **`product-listing`** — shallow card from a category/city/search page. - **`item-detail`** — fully-enriched record from a `/proddetail/` page (spec table, seller, category IDs). Disable `includeDetails` if you only need basic listings to keep costs minimal. Power up your B2B sourcing, supplier discovery, and pricing intelligence with the **IndiaMART Listings Scraper** today! 🚀 # Actor input Schema ## `startUrls` (type: `array`): IndiaMART URLs to scrape. Supports impcat category pages (e.g. https://dir.indiamart.com/impcat/led-bulb.html), city-category pages (https://dir.indiamart.com/delhi/led-bulb.html), product detail pages (https://www.indiamart.com/proddetail/...) and search URLs (https://dir.indiamart.com/search.mp?ss=...). ## `searchQueries` (type: `array`): Free-text search terms. Each is queried via https://dir.indiamart.com/search.mp?ss= which redirects to export.indiamart.com. ## `maxProducts` (type: `integer`): Maximum number of product/listing records to push to the dataset. 0 = unlimited. ## `includeDetails` (type: `boolean`): When enabled, every listing card discovered on a category/search page is also fetched as a product detail page (JSON-LD + **NEXT\_DATA** extraction). ## `includeRelatedCategories` (type: `boolean`): IndiaMART does not support pagination. When enabled, the scraper follows up to 8 related-category links from each user-supplied impcat page (one hop only — no transitive fan-out) so that maxProducts can be satisfied across multiple closely-related categories. Disable for strictly single-page extraction. ## `proxyConfiguration` (type: `object`): Proxy configuration. IndiaMART does not require proxies for moderate volumes; useApifyProxy is off by default. ## Actor input object example ```json { "startUrls": [ { "url": "https://dir.indiamart.com/impcat/led-bulb.html" } ], "searchQueries": [], "maxProducts": 50, "includeDetails": false, "includeRelatedCategories": true, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 = { "startUrls": [ { "url": "https://dir.indiamart.com/impcat/led-bulb.html" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("piotrv1001/indiamart-listings-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 = { "startUrls": [{ "url": "https://dir.indiamart.com/impcat/led-bulb.html" }] } # Run the Actor and wait for it to finish run = client.actor("piotrv1001/indiamart-listings-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 '{ "startUrls": [ { "url": "https://dir.indiamart.com/impcat/led-bulb.html" } ] }' | apify call piotrv1001/indiamart-listings-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=piotrv1001/indiamart-listings-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "IndiaMART Listings Scraper", "description": "The IndiaMART Listings Scraper extracts product listings and enriched detail records from IndiaMART category, city, and search pages, capturing names, prices, images, full spec tables, supplier GST/IEC verification, ratings, and exports-to countries — ideal for B2B sourcing and pricing analysis.", "version": "0.0", "x-build-id": "B8moI6fHlKDcWVEKB" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/piotrv1001~indiamart-listings-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-piotrv1001-indiamart-listings-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/piotrv1001~indiamart-listings-scraper/runs": { "post": { "operationId": "runs-sync-piotrv1001-indiamart-listings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/piotrv1001~indiamart-listings-scraper/run-sync": { "post": { "operationId": "run-sync-piotrv1001-indiamart-listings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "IndiaMART URLs to scrape. Supports impcat category pages (e.g. https://dir.indiamart.com/impcat/led-bulb.html), city-category pages (https://dir.indiamart.com/delhi/led-bulb.html), product detail pages (https://www.indiamart.com/proddetail/...) and search URLs (https://dir.indiamart.com/search.mp?ss=...).", "default": [ { "url": "https://dir.indiamart.com/impcat/led-bulb.html" } ], "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "searchQueries": { "title": "Search queries", "type": "array", "description": "Free-text search terms. Each is queried via https://dir.indiamart.com/search.mp?ss= which redirects to export.indiamart.com.", "default": [], "items": { "type": "string" } }, "maxProducts": { "title": "Max products", "minimum": 0, "type": "integer", "description": "Maximum number of product/listing records to push to the dataset. 0 = unlimited.", "default": 50 }, "includeDetails": { "title": "Include product detail pages", "type": "boolean", "description": "When enabled, every listing card discovered on a category/search page is also fetched as a product detail page (JSON-LD + __NEXT_DATA__ extraction).", "default": false }, "includeRelatedCategories": { "title": "Follow related categories", "type": "boolean", "description": "IndiaMART does not support pagination. When enabled, the scraper follows up to 8 related-category links from each user-supplied impcat page (one hop only — no transitive fan-out) so that maxProducts can be satisfied across multiple closely-related categories. Disable for strictly single-page extraction.", "default": true }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy configuration. IndiaMART does not require proxies for moderate volumes; useApifyProxy is off by default.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```