# Chrome Web Store Publisher Leads (`lead.gen.labs/chrome-web-store-publisher-leads`) Actor Extract targeted Chrome extension publisher leads from selected Chrome Web Store categories, including publisher websites, listing URLs, ratings, review counts, user counts, support links, privacy links, and public emails when available. - **URL**: https://apify.com/lead.gen.labs/chrome-web-store-publisher-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 ## Chrome Web Store Publisher Leads - Chrome Extension Publisher Scraper ### FAQ --- ### 1. What is Chrome Web Store Publisher Leads? Chrome Web Store Publisher Leads is a Chrome extension publisher scraper for finding public publisher leads from Chrome Web Store extension category pages. It extracts focused contact details and business details for Chrome extension publishers, browser extension vendors, SaaS tools, productivity apps, and extension marketplace lead generation. --- ### 2. Why Use This Tool? Use this actor to discover companies, developers, and software publishers with Chrome Web Store listings. It helps with Chrome extension lead generation, browser extension vendor discovery, partnership research, SaaS prospecting, and publisher outreach while keeping the output minimal. --- ### 3. How to Use Chrome Web Store Publisher Leads? Choose one or more Chrome Web Store extension category slugs, set the maximum number of publisher leads, and run the actor. The actor fetches public category pages, extracts structured extension records, and optionally enriches each listing with support, privacy, website, and public email hints. --- ### 4. What Data Points Do I Get in Return? You get a minimal publisher lead record with extension name, extension ID, listing URL, publisher name, publisher website, category, rating, review count, user count, short description, support URL, privacy URL, terms URL, and public email addresses when available. --- ### 5. Can I Enrich this Data with Email Addresses? Yes. The actor can extract public email addresses from Chrome Web Store listing details and public extension manifest 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 Chrome Web Store publisher scraper through Apify, export the dataset, or connect it to CRM enrichment, outbound sales, publisher outreach, partner 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 Chrome Web Store extension categories to scrape. ## `max_results` (type: `integer`): Maximum Chrome Web Store publisher lead records to save. ## `enrich_listing_details` (type: `boolean`): Fetch each public Chrome Web Store extension detail page for support, privacy, website, and public email hints. ## `extract_emails` (type: `boolean`): Extract distinct public email addresses from fetched Chrome Web Store listing and manifest data. ## `request_delay_millis` (type: `integer`): Delay between Chrome Web Store detail page requests in milliseconds. ## Actor input object example ```json { "categories": [ "productivity/communication" ], "max_results": 100, "enrich_listing_details": true, "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/chrome-web-store-publisher-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/chrome-web-store-publisher-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/chrome-web-store-publisher-leads --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lead.gen.labs/chrome-web-store-publisher-leads", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Chrome Web Store Publisher Leads", "description": "Extract targeted Chrome extension publisher leads from selected Chrome Web Store categories, including publisher websites, listing URLs, ratings, review counts, user counts, support links, privacy links, and public emails when available.", "version": "0.0", "x-build-id": "rCfCcxnWF9TGrJoo6" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lead.gen.labs~chrome-web-store-publisher-leads/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lead.gen.labs-chrome-web-store-publisher-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lead.gen.labs~chrome-web-store-publisher-leads/runs": { "post": { "operationId": "runs-sync-lead.gen.labs-chrome-web-store-publisher-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lead.gen.labs~chrome-web-store-publisher-leads/run-sync": { "post": { "operationId": "run-sync-lead.gen.labs-chrome-web-store-publisher-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 Chrome Web Store extension categories to scrape.", "items": { "type": "string", "enum": [ "extensions", "productivity/communication", "productivity/workflow", "productivity/tools", "productivity/education", "productivity/developer", "lifestyle/shopping", "lifestyle/news", "lifestyle/entertainment", "lifestyle/games", "lifestyle/social", "lifestyle/art", "lifestyle/well_being", "lifestyle/travel", "lifestyle/household", "lifestyle/fun", "make_chrome_yours/accessibility", "make_chrome_yours/functionality", "make_chrome_yours/privacy" ], "enumTitles": [ "All extensions", "Communication", "Workflow and planning", "Tools", "Education", "Developer tools", "Shopping", "News and weather", "Entertainment", "Games", "Social", "Art and design", "Well-being", "Travel", "Household", "Fun", "Accessibility", "Functionality", "Privacy and security" ] }, "default": [ "productivity/communication" ] }, "max_results": { "title": "Maximum Publisher Leads", "minimum": 1, "maximum": 100000, "type": "integer", "description": "Maximum Chrome Web Store publisher lead records to save.", "default": 100 }, "enrich_listing_details": { "title": "Enrich Listing Details", "type": "boolean", "description": "Fetch each public Chrome Web Store extension detail page for support, privacy, website, and public email hints.", "default": true }, "extract_emails": { "title": "Extract Public Emails", "type": "boolean", "description": "Extract distinct public email addresses from fetched Chrome Web Store listing and manifest data.", "default": true }, "request_delay_millis": { "title": "Request Delay", "minimum": 0, "maximum": 60000, "type": "integer", "description": "Delay between Chrome Web Store detail page 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 } } } } } } } } } } ```