# JD Mart Business Scraper (`codingfrontend/jdmart-business-scraper`) Actor A fast, high-performance scraper built for lead generation, competitor analysis, and business intelligence. Extracts detailed business profiles, including name, contact details, emails, phone numbers, location, ratings, and reviews from Jdmart Business. Supports custom search URLs, proxy rotation... - **URL**: https://apify.com/codingfrontend/jdmart-business-scraper.md - **Developed by:** [codingfrontend](https://apify.com/codingfrontend) (community) - **Categories:** Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $4.99 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## JD Mart Business Scraper Scrapes B2B business and product listings from [JDMart.com](https://www.jdmart.com) — India's leading B2B marketplace connecting buyers and suppliers across thousands of product categories. ### Features - Search businesses/products by keyword and location - Scrape detailed company/product profiles (contact, address, products, certifications) - Pagination support with click-based and URL-based navigation - Direct URL mode for specific profile pages - Optional proxy/Apify proxy support ### Input | Field | Type | Required | Default | Description | |---|---|---|---|---| | `keyword` | string | Yes | `steel` | Product or business keyword | | `location` | string | No | | City or region filter | | `mode` | string | No | `search` | `search` or `directUrl` | | `businessUrls` | array | No | | Direct profile URLs (for `directUrl` mode) | | `scrapeDetails` | boolean | No | `true` | Visit profile pages for full data | | `maxItems` | integer | No | `50` | Maximum results to scrape | | `maxPages` | integer | No | `5` | Maximum search result pages | | `proxyConfiguration` | object | No | | Apify proxy settings | #### Example Input ```json { "keyword": "textile manufacturer", "location": "Surat", "mode": "search", "maxItems": 50, "scrapeDetails": true, "proxyConfiguration": { "useApifyProxy": true } } ```` ### Output Dataset fields: `name`, `category`, `businessType`, `description`, `address`, `city`, `state`, `pincode`, `contactPerson`, `phone`, `phones`, `email`, `emails`, `website`, `memberSince`, `turnover`, `employees`, `gstin`, `rating`, `reviewCount`, `products`, `images`, `logoUrl`, `profileUrl`, `searchKeyword`, `searchLocation`, `scrapedAt` #### Dataset Views - **Business & Product Listings** — name, type, category, city, state, phone, email, rating - **Contact Details** — company, contact, phone, email, address, city, state, pincode # Actor input Schema ## `keyword` (type: `string`): Product or supplier keyword to search for (e.g. 'tools', 'electronics', 'furniture'). ## `location` (type: `string`): City or region filter. ## `directUrls` (type: `array`): List of direct URLs to scrape (used when mode is set to directUrls) ## `mode` (type: `string`): Scraping mode: "search" to search by keyword/location, or "directUrls" to scrape specific URLs ## `maxItems` (type: `integer`): Maximum number of items to scrape ## `maxPages` (type: `integer`): Maximum number of search result pages to process ## `scrapeDetails` (type: `boolean`): Whether to visit each listing detail page for more information ## `proxyConfiguration` (type: `object`): Proxy settings for requests ## Actor input object example ```json { "keyword": "office furniture", "directUrls": [], "mode": "search", "maxItems": 100, "maxPages": 5, "scrapeDetails": true, "proxyConfiguration": { "useApifyProxy": true } } ``` # 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 = { "keyword": "power tools", "location": "", "directUrls": [], "maxItems": 100, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("codingfrontend/jdmart-business-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 = { "keyword": "power tools", "location": "", "directUrls": [], "maxItems": 100, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("codingfrontend/jdmart-business-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 '{ "keyword": "power tools", "location": "", "directUrls": [], "maxItems": 100, "proxyConfiguration": { "useApifyProxy": true } }' | apify call codingfrontend/jdmart-business-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=codingfrontend/jdmart-business-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "JD Mart Business Scraper", "description": "A fast, high-performance scraper built for lead generation, competitor analysis, and business intelligence. Extracts detailed business profiles, including name, contact details, emails, phone numbers, location, ratings, and reviews from Jdmart Business. Supports custom search URLs, proxy rotation...", "version": "1.0", "x-build-id": "pjm6Tc3fbESYjzIRQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/codingfrontend~jdmart-business-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-codingfrontend-jdmart-business-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/codingfrontend~jdmart-business-scraper/runs": { "post": { "operationId": "runs-sync-codingfrontend-jdmart-business-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/codingfrontend~jdmart-business-scraper/run-sync": { "post": { "operationId": "run-sync-codingfrontend-jdmart-business-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "keyword": { "title": "Search Keyword", "type": "string", "description": "Product or supplier keyword to search for (e.g. 'tools', 'electronics', 'furniture')." }, "location": { "title": "Location", "type": "string", "description": "City or region filter." }, "directUrls": { "title": "Direct URLs", "type": "array", "description": "List of direct URLs to scrape (used when mode is set to directUrls)", "items": { "type": "string" } }, "mode": { "title": "Mode", "enum": [ "search", "directUrl" ], "type": "string", "description": "Scraping mode: \"search\" to search by keyword/location, or \"directUrls\" to scrape specific URLs", "default": "search" }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Maximum number of items to scrape", "default": 100 }, "maxPages": { "title": "Max Pages", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum number of search result pages to process", "default": 5 }, "scrapeDetails": { "title": "Scrape Full Details", "type": "boolean", "description": "Whether to visit each listing detail page for more information", "default": true }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for requests" } } }, "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 } } } } } } } } } } ```