# Microsoft AppSource Vendor Leads (`lead.gen.labs/microsoft-appsource-vendor-leads`) Actor Extract publicly available vendor details including company names, websites, product information, categories, and available contact data. Perfect for sales teams, marketers, recruiters, and agencies looking to accelerate lead generation, partner discovery, CRM enrichment, and market research. - **URL**: https://apify.com/lead.gen.labs/microsoft-appsource-vendor-leads.md - **Developed by:** [LeadGen Labs](https://apify.com/lead.gen.labs) (community) - **Categories:** Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $19.00 / 1,000 record scrapeds 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 ## Microsoft AppSource Vendor Leads - Microsoft Marketplace Scraper ### FAQ --- ### 1. What is Microsoft AppSource Vendor Leads? Microsoft AppSource Vendor Leads is a Microsoft marketplace scraper for finding public vendor leads from Microsoft AppSource and marketplace app listings. It extracts focused contact details and business details for SaaS vendors, Microsoft partners, Azure Marketplace publishers, AI apps, productivity tools, sales software, finance apps, security platforms, and integration providers. --- ### 2. Why Use This Tool? Use this actor to discover companies publishing apps and business software in the Microsoft ecosystem. It supports Microsoft AppSource lead generation, marketplace vendor discovery, Azure partner prospecting, B2B sales intelligence, SaaS prospecting, integration partner research, and contact discovery while keeping the output minimal. --- ### 3. How to Use Microsoft AppSource Vendor Leads? Select one or more Microsoft AppSource marketplace categories, set the maximum number of vendor leads, and run the actor. The actor fetches public Microsoft marketplace category data, follows app listing pages, and returns normalized vendor lead data from available public fields. --- ### 4. What Data Points Do I Get in Return? You get a minimal vendor lead record with app name, app ID, listing URL, publisher name, publisher ID, vendor website, category, product area, offer type, pricing, short description, support URL, help URL, privacy URL, terms URL, public email addresses, and phone numbers when available. --- ### 5. Can I Enrich this Data with Email Addresses? Yes. The actor can extract public email addresses from Microsoft AppSource listing and vendor data. Email extraction is optional and uses the `email-found` pay-per-event charge only when public emails are found. --- ### 6. Can I Integrate This Actor Into Other Data Pipelines? Yes. You can run this Microsoft marketplace scraper through Apify, export the dataset, or connect it to CRM enrichment, outbound sales, partner recruitment, marketplace research, or lead scoring workflows. For custom solutions and integrations, reach out to lead.gen.labs.1@gmail.com. # Actor input Schema ## `categories` (type: `array`): Select one or more Microsoft AppSource marketplace categories to scrape. ## `max_results` (type: `integer`): Maximum Microsoft AppSource vendor lead records to save. ## `extract_emails` (type: `boolean`): Extract distinct public email addresses from fetched Microsoft AppSource listing and vendor data. ## `request_delay_millis` (type: `integer`): Delay between Microsoft AppSource marketplace requests in milliseconds. ## Actor input object example ```json { "categories": [ "ai-apps-and-agents" ], "max_results": 100, "extract_emails": true, "request_delay_millis": 300 } ```` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("lead.gen.labs/microsoft-appsource-vendor-leads").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 = {} # Run the Actor and wait for it to finish run = client.actor("lead.gen.labs/microsoft-appsource-vendor-leads").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 '{}' | apify call lead.gen.labs/microsoft-appsource-vendor-leads --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lead.gen.labs/microsoft-appsource-vendor-leads", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Microsoft AppSource Vendor Leads", "description": "Extract publicly available vendor details including company names, websites, product information, categories, and available contact data. Perfect for sales teams, marketers, recruiters, and agencies looking to accelerate lead generation, partner discovery, CRM enrichment, and market research.", "version": "0.0", "x-build-id": "oAScRE0hX39pl73fE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lead.gen.labs~microsoft-appsource-vendor-leads/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lead.gen.labs-microsoft-appsource-vendor-leads", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lead.gen.labs~microsoft-appsource-vendor-leads/runs": { "post": { "operationId": "runs-sync-lead.gen.labs-microsoft-appsource-vendor-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lead.gen.labs~microsoft-appsource-vendor-leads/run-sync": { "post": { "operationId": "run-sync-lead.gen.labs-microsoft-appsource-vendor-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "categories", "max_results" ], "properties": { "categories": { "title": "Categories", "uniqueItems": true, "type": "array", "description": "Select one or more Microsoft AppSource marketplace categories to scrape.", "items": { "type": "string", "enum": [ "ai-apps-and-agents", "ai-plus-machine-learning", "analytics", "blockchain", "compute", "databases", "developer-tools", "devops", "identity", "integration", "internet-of-things", "it-and-management-tools", "media", "migration", "mixed-reality", "monitoring-and-diagnostics", "security", "web", "collaboration", "Commerce", "compliance-and-legal", "customer-service", "finance", "geolocation", "human-resources", "marketing", "operations-and-supply-chain", "productivity", "Sales", "task-and-project-management", "microsoft-entra-id" ], "enumTitles": [ "AI Apps and Agents", "Machine Learning", "Analytics", "Blockchain", "Infrastructure Services", "Databases", "Developer Tools", "DevOps", "Identity", "Integration", "Internet of Things", "IT & Management Tools", "Media", "Migration", "Mixed Reality", "Monitoring & Diagnostics", "Security", "Web", "Collaboration", "Commerce", "Compliance & Legal", "Customer Service", "Finance", "Geolocation", "Human Resources", "Marketing", "Operations & Supply Chain", "Productivity", "Sales", "Task & Project Management", "Microsoft Entra ID" ] }, "default": [ "ai-apps-and-agents" ] }, "max_results": { "title": "Maximum Vendor Leads", "minimum": 1, "maximum": 100000, "type": "integer", "description": "Maximum Microsoft AppSource vendor lead records to save.", "default": 100 }, "extract_emails": { "title": "Extract Public Emails", "type": "boolean", "description": "Extract distinct public email addresses from fetched Microsoft AppSource listing and vendor data.", "default": true }, "request_delay_millis": { "title": "Request Delay", "minimum": 0, "maximum": 60000, "type": "integer", "description": "Delay between Microsoft AppSource marketplace requests in milliseconds.", "default": 300 } } }, "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 } } } } } } } } } } ```