# Chrome Extension Developer Leads: Publisher Contacts (`scrapemint/chrome-extension-developer-leads`) Actor Lead lists of Chrome Web Store extension developers: search by keyword or category and get one row per developer with contact email, phone and legal entity where published, website, user counts, and their top extensions. Keyless, no browser, contacts come from the store itself. Pay per developer. - **URL**: https://apify.com/scrapemint/chrome-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 ## Chrome Extension Developer Leads: Publisher Contacts Turn the Chrome Web Store into a targeted B2B lead list. Search extensions by keyword or category and get one JSON row per developer: name, contact email, and where the store discloses it, phone number, physical address, and legal entity, plus website, total users across their extensions, and their top extensions with user counts and ratings. The contact data comes from the store's own listing pages (publishers selling in the EU must disclose it), so there is no login, no browser, no proxy, and no website scraping. Built for devtool, API, and SaaS vendors selling to extension builders, AI-tooling companies, martech and developer-marketing agencies, and recruiters sourcing engineers with shipped products and real user numbers. ### What you get One row per developer, with: - `developer`, `legalEntity`, `isTrader` - `email`, `phone`, `address`, `mxFound` - `website` - `extensionCount`, `totalUsers`, `avgRating` - `topExtensions` (title, users, rating, store URL) - `categories` ### Input - `keywords` (store search terms, e.g. crm, screenshot, seo) - `categories` (store category slugs, e.g. productivity/workflow, productivity/communication) - `minUsers` (only developers with at least this many total users; use 10000+ for established publishers) - `maxDevelopers` (default 50, up to 500) - `followRelated` (harvest related extensions from each detail page for a wider list) - `dedupe` (skip previously returned developers; built for scheduled prospecting) ### Example input ```json { "keywords": ["crm", "sales"], "minUsers": 10000, "maxDevelopers": 100 } ```` ### Example output ```json { "developer": "Grammarly", "legalEntity": "Grammarly, Inc.", "isTrader": true, "email": "support@grammarly.com", "phone": "+16282338294", "address": "548 Market St Ste 35410, San Francisco, CA 94104-5401, US", "website": "http://grammarly.com/", "extensionCount": 1, "totalUsers": 35000000, "avgRating": 4.5, "topExtensions": [ { "title": "Grammarly: AI Writing Assistant and Grammar Checker App", "users": 35000000, "rating": 4.5, "url": "https://chromewebstore.google.com/detail/kbfnbcaeplbcioakkpcpgfkobkghlhen" } ], "categories": ["productivity/communication"] } ``` ### Uses - Devtool and SaaS vendors: every publisher shipping extensions in your category, ranked by users, with a direct contact - AI companies: developers of AI and assistant extensions to partner with or acquire - Martech and agency prospecting: commercial publishers with disclosed phone and legal entity are qualified businesses, not hobbyists - Recruiters: developers with shipped products and verifiable user counts - Scheduled prospecting with `dedupe` on: only new developers each run - Pair with the VS Code Extension Developer Leads actor to cover both major extension ecosystems ### Pricing Pay per developer row: a higher rate for rows with a published email or phone, 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 - Contact data reflects what publishers filed with the Chrome Web Store. EU trader-disclosure publishers carry the most detail (email, phone, address, legal entity); other publishers usually still publish a contact email. - User counts and ratings are aggregated across the developer's extensions that your search discovered, not their entire catalog. - `followRelated` widens discovery one hop through each detail page's related extensions, which typically multiplies the lead count for narrow keywords. # Actor input Schema ## `keywords` (type: `array`): Chrome Web Store search terms, e.g. crm, screenshot, seo. Each keyword is searched separately and results are merged per developer. ## `categories` (type: `array`): Category slugs from store URLs, e.g. productivity/workflow, productivity/communication, lifestyle/shopping, make\_chrome\_yours/developer. Combined with keywords. ## `minUsers` (type: `integer`): Only developers whose discovered extensions total at least this many users. Use 10000+ to target established publishers. ## `maxDevelopers` (type: `integer`): Cap on developer lead rows returned. Controls total cost. ## `followRelated` (type: `boolean`): Also harvest the related extensions shown on each detail page (one hop). Turns a narrow search into a wider lead list. ## `dedupe` (type: `boolean`): Remember returned developers across runs and skip them. Turn on for scheduled prospecting. ## Actor input object example ```json { "keywords": [ "crm" ], "categories": [], "minUsers": 0, "maxDevelopers": 50, "followRelated": true, "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": [ "crm" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapemint/chrome-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": ["crm"] } # Run the Actor and wait for it to finish run = client.actor("scrapemint/chrome-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": [ "crm" ] }' | apify call scrapemint/chrome-extension-developer-leads --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapemint/chrome-extension-developer-leads", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Chrome Extension Developer Leads: Publisher Contacts", "description": "Lead lists of Chrome Web Store extension developers: search by keyword or category and get one row per developer with contact email, phone and legal entity where published, website, user counts, and their top extensions. Keyless, no browser, contacts come from the store itself. Pay per developer.", "version": "0.1", "x-build-id": "F0IJppBtrmrCJsFqe" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapemint~chrome-extension-developer-leads/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapemint-chrome-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~chrome-extension-developer-leads/runs": { "post": { "operationId": "runs-sync-scrapemint-chrome-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~chrome-extension-developer-leads/run-sync": { "post": { "operationId": "run-sync-scrapemint-chrome-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": "Chrome Web Store search terms, e.g. crm, screenshot, seo. Each keyword is searched separately and results are merged per developer.", "default": [], "items": { "type": "string" } }, "categories": { "title": "Store categories (optional)", "type": "array", "description": "Category slugs from store URLs, e.g. productivity/workflow, productivity/communication, lifestyle/shopping, make_chrome_yours/developer. Combined with keywords.", "default": [], "items": { "type": "string" } }, "minUsers": { "title": "Minimum total users per developer", "minimum": 0, "type": "integer", "description": "Only developers whose discovered extensions total at least this many users. Use 10000+ to target established publishers.", "default": 0 }, "maxDevelopers": { "title": "Max developers per run", "minimum": 1, "maximum": 500, "type": "integer", "description": "Cap on developer lead rows returned. Controls total cost.", "default": 50 }, "followRelated": { "title": "Follow related extensions", "type": "boolean", "description": "Also harvest the related extensions shown on each detail page (one hop). Turns a narrow search into a wider lead list.", "default": true }, "dedupe": { "title": "Skip developers seen in previous runs", "type": "boolean", "description": "Remember returned developers 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 } } } } } } } } } } ```