# Alibaba RFQ Scraper (`xtracto/alibaba-rfq-scraper`) Actor Pull buying requests (RFQs) from Alibaba's sourcing marketplace by keyword. - **URL**: https://apify.com/xtracto/alibaba-rfq-scraper.md - **Developed by:** [Xtractoo](https://apify.com/xtracto) (community) - **Categories:** E-commerce, Lead generation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $4.50 / 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. 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 ## Alibaba RFQ Scraper Pull live buying requests (RFQs) from Alibaba's sourcing marketplace — filtered by keyword or across the full open queue. ### What you can do with it - **Lead generation for suppliers** — pull every fresh RFQ in your category and route them to your sales team. - **Demand sensing** — quantify buying intent per keyword, region, and quantity tier over time. - **Pricing benchmarks** — see what quantities buyers are actually requesting to calibrate your MOQ tiers. - **Competitive intel** — track which countries dominate sourcing of a given product. ### Features - **Keyword OR open-queue mode** — supply `queries` for filtered results, or leave empty to crawl all open RFQs. - **Up to 100 paginated pages per query**. - **Per-RFQ payload (25+ fields):** - Identity: `rfqId`, `encryptedRfqId`, `subject`, `description`, `imageUrl`. - Buyer: `buyerName`, `country`, `countryCode`, `buyerLevel`, `buyerLevelLogoUrl`. - Demand: `quantity`, `quantityUnit`, `quantityValue`. - Lifecycle: `openTime`, `expirationTime`. - Quality signals: `rfqStarLevel` (1–3), `qualityScore`, `haveAnnexes`. - Quote economics: `rfqLeftCount`, `quoteLeftCount`. - URLs: `url` (RFQ detail page) + `quoteUrl` (ready-to-use quotation link). - **Resilient against Aliyun WAF** — auto-retry with proxy rotation. - **Default Dataset output** — JSON / CSV / Excel / RSS / HTML export. ### Input ```json { "queries": ["bluetooth earphones", "led strip lights"], "maxPagesPerQuery": 3, "maxConcurrency": 3, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` | Field | Type | Description | | --- | --- | --- | | `queries` | string\[] | Keywords to filter RFQs. Leave empty to crawl all open requests. | | `maxPagesPerQuery` | int | Pages per query (default 3, max 100). | | `maxConcurrency` | int | Parallel workers (default 3). | | `maxRequestRetries` | int | Per-request retry budget (default 8). | | `proxyConfiguration` | proxy | Apify Proxy or custom list. RESIDENTIAL recommended. | ### Sample Output ```json { "query": "bluetooth earphones", "page": 1, "rfqId": "rfq_7f3b2a91e4c8", "subject": "TWS Bluetooth Earbuds with ANC, 500 pcs", "description": "We are looking for TWS earbuds with active noise cancellation, IPX5 waterproof, Bluetooth 5.0+. Need samples first.", "buyerName": "TechRetail GmbH", "country": "Germany", "countryCode": "DE", "buyerLevel": 3, "quantity": 500, "quantityUnit": "Pieces", "openTime": "2 hours ago", "expirationTime": "2026-05-14T23:59:59Z", "rfqStarLevel": 3, "qualityScore": 8.5, "rfqLeftCount": 12, "quoteLeftCount": 3, "url": "https://sourcing.alibaba.com/rfq/rfq_7f3b2a91e4c8.htm", "quoteUrl": "https://sourcing.alibaba.com/rfq/quote_rfq_7f3b2a91e4c8.htm", "scrapedAt": "2026-05-09T12:18:44Z" } ``` ### Notes Public buying-request data only — no Alibaba account required. # Actor input Schema ## `queries` (type: `array`): Keywords to filter RFQs. Leave empty for all open RFQs. ## `maxPagesPerQuery` (type: `integer`): How many result pages to traverse per keyword. ## `maxConcurrency` (type: `integer`): Maximum number of parallel requests. ## `maxRequestRetries` (type: `integer`): How many times a request will be retried before giving up. ## `proxyConfiguration` (type: `object`): Apify Proxy or your own proxy list. RESIDENTIAL group is recommended. ## Actor input object example ```json { "queries": [ "bluetooth" ], "maxPagesPerQuery": 3, "maxConcurrency": 3, "maxRequestRetries": 6, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "queries": [ "bluetooth" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("xtracto/alibaba-rfq-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 = { "queries": ["bluetooth"], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("xtracto/alibaba-rfq-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 '{ "queries": [ "bluetooth" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call xtracto/alibaba-rfq-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=xtracto/alibaba-rfq-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Alibaba RFQ Scraper", "description": "Pull buying requests (RFQs) from Alibaba's sourcing marketplace by keyword.", "version": "1.0", "x-build-id": "gJEofmPHeBRGncK8n" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/xtracto~alibaba-rfq-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-xtracto-alibaba-rfq-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/xtracto~alibaba-rfq-scraper/runs": { "post": { "operationId": "runs-sync-xtracto-alibaba-rfq-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/xtracto~alibaba-rfq-scraper/run-sync": { "post": { "operationId": "run-sync-xtracto-alibaba-rfq-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": { "queries": { "title": "Search keywords", "type": "array", "description": "Keywords to filter RFQs. Leave empty for all open RFQs.", "items": { "type": "string" } }, "maxPagesPerQuery": { "title": "Max pages per query", "minimum": 1, "maximum": 100, "type": "integer", "description": "How many result pages to traverse per keyword.", "default": 3 }, "maxConcurrency": { "title": "Max concurrency", "type": "integer", "description": "Maximum number of parallel requests.", "default": 3 }, "maxRequestRetries": { "title": "Max retries", "type": "integer", "description": "How many times a request will be retried before giving up.", "default": 6 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify Proxy or your own proxy list. RESIDENTIAL group is recommended." } } }, "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 } } } } } } } } } } ```