# Website Email Scraper (`plastic_warrior/website-email-scraper-partial`) Actor Extract contact emails from any website instantly. A fast, duplicate-safe email scraper designed for lead generation, B2B sales outreach, and cold email campaigns. - **URL**: https://apify.com/plastic\_warrior/website-email-scraper-partial.md - **Developed by:** [Faheem Ahmed](https://apify.com/plastic_warrior) (community) - **Categories:** Lead generation, E-commerce, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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. 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 ## Website Email Extractor (Exact URLs Only) Extract email addresses from a list of exact target URLs with high bypass rate, automatic Cloudflare de-obfuscation, and zero crawling overhead. Website Email Extractor fetches only the exact URLs you provide and extracts contact emails, mailto links, and obfuscated Cloudflare email addresses. Powered by Scrapling's stealth sessions, it bypasses advanced anti-bot systems like Cloudflare Turnstile dynamically. ### Features - โšก๏ธ **Zero Crawling Overhead** - Targets only the exact pages you provide. No slow, expensive spidering or site traversing. - ๐Ÿ›ก๏ธ **Advanced Stealth Bypassing** - Powered by Scrapling's `AsyncStealthySession` with automatic JavaScript rendering and Turnstile solving. - ๐Ÿงน **Robust Cleaning** - Uses a strict regular expression to parse visible text and page HTML, filtering out asset false positives (like `.png`, `.jpg`, `.js`, `.webp`). - ๐Ÿ”“ **Cloudflare De-obfuscation** - Automatically decodes obfuscated email addresses disguised by Cloudflare's `data-cfemail` system. - ๐Ÿงผ **Per-Page Deduplication** - Merges duplicate email references on the same page, outputting a clean unique list of emails for each URL. ### Quick Start 1. Open the **Input** tab. 2. Add the list of exact URLs you want to extract emails from (e.g. `["https://apify.com/contact", "https://example.com/about"]`). 3. Set the **Request Delay** (in seconds) to avoid rate limits when querying many pages from a single site. 4. Run the actor and review/export your results from the **Dataset** tab. ### Input Parameters | Field | Type | Description | Default / Empty Behavior | | :--- | :--- | :--- | :--- | | **urls** | `array` | **Required**. A list of exact website URLs to scrape emails from. | Must contain at least 1 URL. | | **delay** | `integer` | Optional delay (in seconds) to wait between fetching pages. | Defaults to `1` second. | | **proxyConfig** | `object` | Optional Apify proxy settings to bypass IP blocks. | Runs in direct mode if omitted. | #### Example Input ```json { "urls": [ "https://apify.com/contact", "https://nooranicollection.com/" ], "delay": 1, "proxyConfig": { "useApifyProxy": true } } ```` ### Output Format The actor emits **one dataset row per unique email**, keeping the source URL attached for traceability: #### Example Output | url | email | status | | :--- | :--- | :--- | | https://apify.com/contact | hello@apify.com | success | | https://nooranicollection.com/ | aq0243867@gmail.com | success | | https://nooranicollection.com/ | admin@mail.com | success | ```json { "url": "https://apify.com/contact", "email": "hello@apify.com", "status": "success" } ``` #### Output Fields | Field | Type | Description | | :--- | :--- | :--- | | **url** | `string` | The source URL that produced this email. | | **email** | `string` | One unique, normalized email address. `null` if the page failed or had no emails. | | **status** | `string` | `success`, `no_emails_found`, `failed`, or `http_error_`. | ### Support For issues, questions, or feature requests, feel free to file a ticket or reach out! ๐Ÿซก # Actor input Schema ## `urls` (type: `array`): Enter the exact URLs you want to extract email addresses from. ## `delay` (type: `integer`): Number of seconds to wait between page requests to avoid rate limits. ## `proxyConfig` (type: `object`): Configure proxies to bypass anti-bot protection. ## Actor input object example ```json { "urls": [ "https://apify.com" ], "delay": 1 } ``` # 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 = { "urls": [ "https://apify.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("plastic_warrior/website-email-scraper-partial").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "urls": ["https://apify.com"] } # Run the Actor and wait for it to finish run = client.actor("plastic_warrior/website-email-scraper-partial").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "urls": [ "https://apify.com" ] }' | apify call plastic_warrior/website-email-scraper-partial --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=plastic_warrior/website-email-scraper-partial", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Website Email Scraper", "description": "Extract contact emails from any website instantly. A fast, duplicate-safe email scraper designed for lead generation, B2B sales outreach, and cold email campaigns.", "version": "0.0", "x-build-id": "N0RIYwbiodhmkN7ou" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/plastic_warrior~website-email-scraper-partial/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-plastic_warrior-website-email-scraper-partial", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/plastic_warrior~website-email-scraper-partial/runs": { "post": { "operationId": "runs-sync-plastic_warrior-website-email-scraper-partial", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/plastic_warrior~website-email-scraper-partial/run-sync": { "post": { "operationId": "run-sync-plastic_warrior-website-email-scraper-partial", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "urls" ], "properties": { "urls": { "title": "Exact URLs to Scrape", "type": "array", "description": "Enter the exact URLs you want to extract email addresses from.", "items": { "type": "string" } }, "delay": { "title": "Request Delay (seconds)", "minimum": 0, "type": "integer", "description": "Number of seconds to wait between page requests to avoid rate limits.", "default": 1 }, "proxyConfig": { "title": "Proxy configuration", "type": "object", "description": "Configure proxies to bypass anti-bot protection." } } }, "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 } } } } } } } } } } ```