# VS Code Extension Developer Leads: Publisher Contacts (`scrapemint/vscode-extension-developer-leads`) Actor Lead lists of VS Code Marketplace extension publishers: search by keyword or category and get one row per publisher with verified domain, website, GitHub repo, scraped contact emails, install counts, and their top extensions. Keyless official Marketplace API, no browser. Pay per publisher. - **URL**: https://apify.com/scrapemint/vscode-extension-developer-leads.md - **Developed by:** [Ken M](https://apify.com/scrapemint) (community) - **Categories:** Lead generation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## VS Code Extension Developer Leads: Publisher Contacts Turn the VS Code Marketplace into a targeted B2B lead list. Search extensions by keyword or category and get one JSON row per publisher: company or developer name, verified domain, website, GitHub repo, scraped contact emails, total installs across their matched extensions, and their top extensions with install counts. Keyless official Marketplace API plus a light website email scrape: no login, no browser, no data subscription. Built for devtool, API, and cloud vendors selling to extension authors, AI coding tool companies, developer marketing and DevRel agencies, and recruiters sourcing engineers with proven shipped tools. ### What you get One row per publisher, with: - `publisher`, `publisherHandle`, `publisherId`, `domainVerified` - `website`, `githubRepo`, `websiteReachable`, `marketplaceUrl` - `email`, `emails`, `likelyContactEmails`, `mxFound` - `extensionCount`, `totalInstalls`, `avgRating` - `topExtensions` (name, installs, rating, last update, marketplace URL) - `categories`, `matchedQueries` ### Input - `keywords` (marketplace search terms, e.g. database, kubernetes, ai assistant) - `categories` (official categories, e.g. AI, Programming Languages, Data Science, Testing) - `minInstalls` (only publishers with at least this many total installs; use 10000+ for established companies) - `maxPublishers` (default 50, up to 500) - `includeEmail` (scrape each publisher's website for public contact emails) - `maxEmailLookups` (cap on website fetches) - `dedupe` (skip previously returned publishers; built for scheduled prospecting) ### Example input ```json { "keywords": ["database", "sql"], "minInstalls": 10000, "maxPublishers": 100, "includeEmail": true } ```` ### Example output ```json { "publisher": "Database Client", "publisherHandle": "cweijan", "domainVerified": true, "website": "https://database-client.com", "githubRepo": "https://github.com/database-client/jdbc-adapter-server", "email": "support@database-client.com", "emails": ["support@database-client.com"], "extensionCount": 3, "totalInstalls": 4210530, "avgRating": 4.7, "topExtensions": [ { "name": "vscode-database-client2", "displayName": "Database Client", "installs": 3959207, "rating": 4.68, "url": "https://marketplace.visualstudio.com/items?itemName=cweijan.vscode-database-client2" } ], "categories": ["Programming Languages", "Other"], "marketplaceUrl": "https://marketplace.visualstudio.com/publishers/cweijan" } ``` ### Uses - Devtool and API vendors: every publisher shipping extensions in your category, ranked by installs, with a contact email - AI coding tool companies: publishers of AI, Copilot-adjacent, and LLM extensions to partner with or acquire - DevRel and developer marketing agencies: proven ecosystem builders segmented by category and traction - Recruiters: developers with shipped tools and real install numbers, plus their GitHub - Scheduled prospecting with `dedupe` on: only new publishers each run - Chain `website` values into the Website Contact Scraper for deeper outreach data ### Pricing Pay per publisher row: a higher rate for rows with a scraped contact email, a lower rate for the rest. Searches that match nothing cost nothing, and the first 2 rows of every run are free so you can validate output before you scale up. ### Notes - Data comes from the official VS Code Marketplace gallery API. Install counts and ratings are aggregated across the publisher's extensions that matched your search, not their entire catalog. - Emails are scraped from the publisher's own public website (verified domain first, then extension homepage links). GitHub-only publishers get the repo link but usually no email. - `likelyContactEmails` adds standard patterns (info@, contact@, hello@, support@) on the publisher's domain; `mxFound` tells you the domain accepts mail. - One publisher row can represent many extensions, so a 100-row run can cover several hundred extensions. # Actor input Schema ## `keywords` (type: `array`): Marketplace search terms, e.g. database, kubernetes, ai assistant. Each keyword is searched separately and results are merged per publisher. ## `categories` (type: `array`): Official category names, e.g. AI, Programming Languages, Data Science, Themes, Testing, Linters. Combined with keywords. ## `minInstalls` (type: `integer`): Only publishers whose matched extensions total at least this many installs. Use 10000+ to target established companies. ## `maxPublishers` (type: `integer`): Cap on publisher lead rows returned. Controls total cost. ## `includeEmail` (type: `boolean`): Fetch each publisher's website and extract public contact emails. Turn off for a faster, cheaper directory-only run. ## `maxEmailLookups` (type: `integer`): Cap on publisher websites fetched for email extraction. ## `dedupe` (type: `boolean`): Remember returned publishers across runs and skip them. Turn on for scheduled prospecting. ## Actor input object example ```json { "keywords": [ "database" ], "categories": [], "minInstalls": 0, "maxPublishers": 50, "includeEmail": true, "maxEmailLookups": 100, "dedupe": false } ``` # 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 = { "keywords": [ "database" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapemint/vscode-extension-developer-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 = { "keywords": ["database"] } # Run the Actor and wait for it to finish run = client.actor("scrapemint/vscode-extension-developer-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 '{ "keywords": [ "database" ] }' | apify call scrapemint/vscode-extension-developer-leads --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapemint/vscode-extension-developer-leads", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "VS Code Extension Developer Leads: Publisher Contacts", "description": "Lead lists of VS Code Marketplace extension publishers: search by keyword or category and get one row per publisher with verified domain, website, GitHub repo, scraped contact emails, install counts, and their top extensions. Keyless official Marketplace API, no browser. Pay per publisher.", "version": "0.1", "x-build-id": "oPuJuOUVLfAT4fGbr" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapemint~vscode-extension-developer-leads/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapemint-vscode-extension-developer-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/scrapemint~vscode-extension-developer-leads/runs": { "post": { "operationId": "runs-sync-scrapemint-vscode-extension-developer-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/scrapemint~vscode-extension-developer-leads/run-sync": { "post": { "operationId": "run-sync-scrapemint-vscode-extension-developer-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", "properties": { "keywords": { "title": "Search keywords", "type": "array", "description": "Marketplace search terms, e.g. database, kubernetes, ai assistant. Each keyword is searched separately and results are merged per publisher.", "default": [], "items": { "type": "string" } }, "categories": { "title": "Marketplace categories (optional)", "type": "array", "description": "Official category names, e.g. AI, Programming Languages, Data Science, Themes, Testing, Linters. Combined with keywords.", "default": [], "items": { "type": "string" } }, "minInstalls": { "title": "Minimum total installs per publisher", "minimum": 0, "type": "integer", "description": "Only publishers whose matched extensions total at least this many installs. Use 10000+ to target established companies.", "default": 0 }, "maxPublishers": { "title": "Max publishers per run", "minimum": 1, "maximum": 500, "type": "integer", "description": "Cap on publisher lead rows returned. Controls total cost.", "default": 50 }, "includeEmail": { "title": "Scrape publisher websites for contact emails", "type": "boolean", "description": "Fetch each publisher's website and extract public contact emails. Turn off for a faster, cheaper directory-only run.", "default": true }, "maxEmailLookups": { "title": "Max website email lookups", "minimum": 0, "maximum": 500, "type": "integer", "description": "Cap on publisher websites fetched for email extraction.", "default": 100 }, "dedupe": { "title": "Skip publishers seen in previous runs", "type": "boolean", "description": "Remember returned publishers across runs and skip them. Turn on for scheduled prospecting.", "default": false } } }, "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 } } } } } } } } } } ```