# IndiaMart Search Results Scraper (Lite) (`automation-hub/indiamart-search-results-scraper-lite`) Actor This actor supports multiple keywords and multiple locations in a single run. As a Lite version, it fetches only the top 10 search results for each keyword–location combination, making it ideal for quick and efficient data extraction. - **URL**: https://apify.com/automation-hub/indiamart-search-results-scraper-lite.md - **Developed by:** [DataForge](https://apify.com/automation-hub) (community) - **Categories:** Automation, E-commerce, Integrations - **Stats:** 101 total users, 3 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $7.99 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Multi-City Multi-Keyword Search Scraper This scraper extracts **product search listings** from **IndiaMart.com**, India’s largest B2B marketplace. It supports **multiple search keywords** and **multiple cities in a single run**, making it suitable for bulk product discovery and seller lead extraction. --- ### Input Parameters | Parameter | Type | Required | Default | Description | |---------|------|----------|---------|-------------| | search_strings | Array | Yes | – | List of keywords to search on IndiaMart | | cities | Array | No | Nationwide | List of city names to filter results. If empty or not provided, search is performed nationwide | | proxy_config | Object | No | Apify Residential (IN) | Proxy configuration for the crawler | --- ### Input Schema Example ```json { "search_strings": [ "raw mango", "industrial fans" ], "cities": [ "hyderabad", "chennai" ], "proxy_config": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "IN" } } ```` #### Notes - Each keyword is searched independently - Each city is applied as a filter - All **keyword × city combinations** are processed in one run - If `cities` is omitted or empty, the scraper performs a **nationwide search** *** ### Output Schema The scraper outputs an **array of product listing objects**.\ Each object represents a single product card extracted from IndiaMart search results. *** ### Output Fields | Field | Type | Description | |------|------|-------------| | search\_keyword | String | Search keyword used to find the product | | product\_name | String | Name of the product | | price | String | Product price (or `"Not Available"` if missing) | | seller | String | Seller / company name | | seller\_location | String | Seller location as displayed on IndiaMart | | seller\_address | String | Full seller address | | seller\_contact | String | Seller contact mobile number (last 10 digits) | | product\_url | String | Product detail page URL | | company\_url | String | Seller company profile URL | *** ### Output Example ```json { "search_keyword": "rawmango", "product_name": "Fresh Raw Mango Pickle Achar Chutney (Medium)", "price": "Not Available", "seller": "Clarions-Raw Inn", "seller_location": "Hyderabad", "seller_address": "Plot No.1021, Koduru Residency, Pragathi Nagar, Hyderabad - 500090, Telangana", "seller_contact": "8047691846", "product_url": "https://www.indiamart.com/proddetail/fresh-raw-mango-2857295519797.html", "company_url": "https://www.indiamart.com/clarionsrawinn-hyderabad/" } ``` *** ### Key Features - Supports multiple keywords in a single run - Supports multiple city filters - Nationwide search fallback - Cleaned URLs (query parameters removed) - Normalized mobile numbers - Residential India proxies supported - Lightweight and fast execution *** ### Limitations - Pagination limited to first results page - Price and contact details depend on listing availability - Seller contact numbers may be masked for some listings *** ### Support & Troubleshooting If you encounter issues: 1. Review Apify Actor logs 2. Ensure search keywords are valid IndiaMart product terms 3. Verify city names are supported by IndiaMart 4. Use Residential IN proxies for best results **Support Email:** aadyanthasolutions@gmail.com # Actor input Schema ## `search_strings` (type: `array`): List of keywords to search on IndiaMART ## `cities` (type: `array`): List of cities to filter results by. Leave empty for nationwide search. ## `proxy_config` (type: `object`): Select proxies to be used by your crawler. ## Actor input object example ```json { "search_strings": [ "asian paints" ], "proxy_config": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } } ``` # Actor output Schema ## `overview` (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 = { "search_strings": [ "asian paints" ], "proxy_config": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } }; // Run the Actor and wait for it to finish const run = await client.actor("automation-hub/indiamart-search-results-scraper-lite").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 = { "search_strings": ["asian paints"], "proxy_config": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "IN", }, } # Run the Actor and wait for it to finish run = client.actor("automation-hub/indiamart-search-results-scraper-lite").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 '{ "search_strings": [ "asian paints" ], "proxy_config": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } }' | apify call automation-hub/indiamart-search-results-scraper-lite --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=automation-hub/indiamart-search-results-scraper-lite", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "IndiaMart Search Results Scraper (Lite)", "description": "This actor supports multiple keywords and multiple locations in a single run. As a Lite version, it fetches only the top 10 search results for each keyword–location combination, making it ideal for quick and efficient data extraction.", "version": "0.0", "x-build-id": "pe51BSGJgUs9qkesR" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/automation-hub~indiamart-search-results-scraper-lite/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-automation-hub-indiamart-search-results-scraper-lite", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/automation-hub~indiamart-search-results-scraper-lite/runs": { "post": { "operationId": "runs-sync-automation-hub-indiamart-search-results-scraper-lite", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/automation-hub~indiamart-search-results-scraper-lite/run-sync": { "post": { "operationId": "run-sync-automation-hub-indiamart-search-results-scraper-lite", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "search_strings" ], "properties": { "search_strings": { "title": "Search Strings", "type": "array", "description": "List of keywords to search on IndiaMART", "items": { "type": "string" } }, "cities": { "title": "Cities", "type": "array", "description": "List of cities to filter results by. Leave empty for nationwide search.", "items": { "type": "string" } }, "proxy_config": { "title": "Proxy configuration", "type": "object", "description": "Select proxies to be used by your crawler." } } }, "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 } } } } } } } } } } ```