# TradeIndia Buyer Requirements & Buy Leads Scraper (`scrapers_lat/tradeindia-buyers-scraper`) Actor Scrape TradeIndia buyer requirements and buy leads: requirement title and description, quantity, buyer name and company, phone, city, state, country and posted date. Search by product keyword and filter by buyer country. Export to JSON, CSV or Excel. - **URL**: https://apify.com/scrapers\_lat/tradeindia-buyers-scraper.md - **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community) - **Categories:** Lead generation, Business, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $17.00 / 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 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 ## TradeIndia Buyer Requirements & Buy Leads Scraper > Find active B2B buyers and their purchase requirements. Get the product they want, quantity, buyer name and company, phone, location and posted date, ready to export as JSON, CSV or Excel. **๐Ÿ“ฅ [Input](https://apify.com/scrapers_lat/tradeindia-buyers-scraper/input-schema) ยท ๐Ÿ“ค [Output](https://apify.com/scrapers_lat/tradeindia-buyers-scraper/output-schema) ยท ๐Ÿ’ฐ [Pricing](https://apify.com/scrapers_lat/tradeindia-buyers-scraper/pricing) ยท โ–ถ๏ธ [Examples](https://apify.com/scrapers_lat/tradeindia-buyers-scraper/examples)** ### What you get For every buyer requirement (buy lead) matching your product keyword: - **Requirement** โ€” the product title and full description of what the buyer wants - **Quantity** โ€” the amount required, when stated - **Delivery place** โ€” where the buyer wants delivery, when stated - **Buyer** โ€” buyer name and company name (when provided) - **Contact** โ€” buyer phone number and email (when provided) - **Location** โ€” city, state, country and country code of the buyer - **Posted date** โ€” when the requirement was published - **Extras** โ€” buyer feedback score, member-since, category id, lead id and the direct requirement URL You only pay for real buyer requirements. Empty runs are never charged. ### Who is it for - Exporters, manufacturers and distributors looking for fresh purchase inquiries - Sales teams building lists of active B2B buyers by product and country - Market researchers tracking demand for a product across regions ### How to use it 1. Add one or more product keywords under **Search Queries** (for example `cotton`, `rice`, `led lights`). 2. Optionally set **Buyer Countries** using 2-letter ISO codes (for example `in`, `us`, `ae`) to keep only buyers from those countries. 3. Set **Max Buyer Requirements** to cap how many records you collect. 4. Run it and export the results as JSON, CSV or Excel. ### FAQ **Do I need any account or login?** No. Just enter product keywords and run. **Can I search several products at once?** Yes. Add multiple keywords to Search Queries and the run covers each one. **How fresh are the requirements?** Each run pulls the buyer requirements currently listed for your keywords, including their posted dates. ### Related actors - [TradeIndia Suppliers & B2B Leads Scraper](https://apify.com/scrapers_lat/tradeindia-suppliers-scraper) - [IndiaMART Suppliers & B2B Leads Scraper](https://apify.com/scrapers_lat/indiamart-suppliers-scraper) - [ExportersIndia Suppliers & B2B Leads Scraper](https://apify.com/scrapers_lat/exportersindia-scraper) Built by [scrapers.lat](https://scrapers.lat). Explore more scrapers for global trade, company and lead data. --- This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by TradeIndia. Use the collected data in compliance with applicable laws and the source website's terms. # Actor input Schema ## `searchQueries` (type: `array`): One or more product keywords to find buyer requirements for (for example "cotton", "rice", "led lights"). One run searches every keyword in the list. ## `countries` (type: `array`): Optional. Filter buyer requirements by buyer country using 2-letter ISO codes (for example "in" for India, "us", "ae"). Leave empty to include buyers from all countries. ## `maxRequirements` (type: `integer`): Maximum number of buyer requirements to collect across all queries. ## Actor input object example ```json { "searchQueries": [ "cotton", "rice" ], "countries": [], "maxRequirements": 50 } ```` # 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 = { "searchQueries": [ "cotton", "rice" ], "countries": [], "maxRequirements": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("scrapers_lat/tradeindia-buyers-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "searchQueries": [ "cotton", "rice", ], "countries": [], "maxRequirements": 50, } # Run the Actor and wait for it to finish run = client.actor("scrapers_lat/tradeindia-buyers-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchQueries": [ "cotton", "rice" ], "countries": [], "maxRequirements": 50 }' | apify call scrapers_lat/tradeindia-buyers-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapers_lat/tradeindia-buyers-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TradeIndia Buyer Requirements & Buy Leads Scraper", "description": "Scrape TradeIndia buyer requirements and buy leads: requirement title and description, quantity, buyer name and company, phone, city, state, country and posted date. Search by product keyword and filter by buyer country. Export to JSON, CSV or Excel.", "version": "0.1", "x-build-id": "hCUqlC9FbSZHu73qj" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapers_lat~tradeindia-buyers-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapers_lat-tradeindia-buyers-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapers_lat~tradeindia-buyers-scraper/runs": { "post": { "operationId": "runs-sync-scrapers_lat-tradeindia-buyers-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapers_lat~tradeindia-buyers-scraper/run-sync": { "post": { "operationId": "run-sync-scrapers_lat-tradeindia-buyers-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchQueries": { "title": "Search Queries (Products)", "type": "array", "description": "One or more product keywords to find buyer requirements for (for example \"cotton\", \"rice\", \"led lights\"). One run searches every keyword in the list.", "items": { "type": "string" } }, "countries": { "title": "Buyer Countries (ISO Codes)", "type": "array", "description": "Optional. Filter buyer requirements by buyer country using 2-letter ISO codes (for example \"in\" for India, \"us\", \"ae\"). Leave empty to include buyers from all countries.", "items": { "type": "string" } }, "maxRequirements": { "title": "Max Buyer Requirements To Scrape", "minimum": 1, "maximum": 1000000, "type": "integer", "description": "Maximum number of buyer requirements to collect across all queries." } } }, "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 } } } } } } } } } } ```