# Email Link Extractor (`leafed_dryer/email-link-extractor`) Actor Advanced email link processor that extracts, analyzes and unwraps tracking URLs. Supports SendGrid, Mailchimp, Beehiiv, HubSpot, Constant Contact and other major email service providers. Automatically resolves redirect chains to find real destination URLs hidden behind marketing tracking links. - **URL**: https://apify.com/leafed\_dryer/email-link-extractor.md - **Developed by:** [Roch News](https://apify.com/leafed_dryer) (community) - **Categories:** Automation, News, Integrations - **Stats:** 15 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 ## Email Link Extractor & Tracker Cleaner Este Actor extrae todos los links de emails y resuelve URLs de tracking para obtener las URLs reales de destino. ### 🎯 ¿Qué hace? - **Extrae links** del HTML y texto plano de emails - **Identifica tracking links** de servicios como SendGrid, Mailchimp, Beehiiv - **Resuelve URLs reales** ocultas detrás de redirects de tracking - **Organiza resultados** por tipo (directos, tracked, resueltos) - **Proporciona estadísticas** detalladas ### 📧 Servicios de tracking soportados - **SendGrid** (`sendgrid.net/ss/c/`) - **Mailchimp** (`mailchimp.com/track/`) - **Beehiiv** (`mail.beehiiv.com`) - **HubSpot** (`hslinks.com`) - **Constant Contact** (`constantcontact.com/links/`) - **Mailgun** (`mailgun.org/link/`) - **Campaign Monitor** (`click.campaigns.`) - **AWeber** (`aweber.com/ct/`) ### 🚀 Uso básico #### Input mínimo: ```json { "html": "contenido del email", "subject": "Asunto del email" } ```` #### Input completo: ```json { "html": "HTML del email", "text": "Texto plano del email", "subject": "Asunto", "from": { "address": "sender@example.com", "name": "Sender Name" }, "date": "2025-08-17T15:06:16.000Z", "messageId": "unique-message-id", "options": { "resolveRedirects": true, "includeMailto": false, "minTextLength": 3 } } ``` ### 📊 Output ```json { "success": true, "timestamp": "2025-08-17T15:30:00.000Z", "email": { "subject": "Newsletter Title", "from": {...} }, "summary": { "totalLinks": 15, "trackedLinks": 12, "directLinks": 3, "resolvedLinks": 8, "unresolvedLinks": 4 }, "trackingStats": { "sendgrid": { "total": 8, "resolved": 6, "unresolved": 2 } }, "links": { "all": [...], "resolved": [ { "original": "https://tracking-url...", "cleaned": "https://real-destination.com", "text": "Click here", "service": "sendgrid" } ], "direct": [...], "unresolved": [...] } } ``` ### 🔧 Integración con Make.com 1. **HTTP Request** al Actor: ``` POST https://api.apify.com/v2/acts/YOUR_USERNAME~email-link-extractor/runs ``` 2. **Headers**: ``` Authorization: Bearer YOUR_API_TOKEN Content-Type: application/json ``` 3. **Body**: El contenido del email de Make 4. **Obtener resultado**: ``` GET https://api.apify.com/v2/acts/YOUR_USERNAME~email-link-extractor/runs/LAST/dataset/items ``` ### 💡 Casos de uso - **Marketing automation**: Limpiar links antes de reenviar - **Analytics**: Rastrear destinos reales de campaigns - **Content curation**: Extraer recursos de newsletters - **Link monitoring**: Verificar destinos de tracking ### ⚡ Performance - **Tiempo promedio**: 2-5 segundos por email - **Memoria**: ~100MB por ejecución - **Costo**: ~$0.0001 por email procesado ### 🆘 Solución de problemas #### Error: "Se requiere al menos HTML o texto" - Asegúrate de enviar `html` o `text` en el input #### Links no resueltos - Algunos tracking links son muy complejos o están encriptados - El Actor marca estos como `status: "unresolved"` #### Timeouts - Emails muy grandes pueden tomar más tiempo - Aumenta `timeoutSecs` en las opciones de ejecución ### 📝 Changelog #### v1.0.0 - Primera versión estable - Soporte para 8 servicios de tracking principales - Integración optimizada para Make.com # Actor input Schema ## `html` (type: `string`): HTML content of the email to process ## `text` (type: `string`): Plain text content of the email ## `subject` (type: `string`): Email subject line ## `from` (type: `object`): Sender information ## `date` (type: `string`): Email date in ISO format ## `messageId` (type: `string`): Unique message identifier ## Actor input object example ```json {} ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("leafed_dryer/email-link-extractor").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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("leafed_dryer/email-link-extractor").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 leafed_dryer/email-link-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=leafed_dryer/email-link-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Email Link Extractor", "description": "Advanced email link processor that extracts, analyzes and unwraps tracking URLs. Supports SendGrid, Mailchimp, Beehiiv, HubSpot, Constant Contact and other major email service providers. Automatically resolves redirect chains to find real destination URLs hidden behind marketing tracking links.", "version": "0.0", "x-build-id": "kVLQI3chAxjBHNUXw" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/leafed_dryer~email-link-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-leafed_dryer-email-link-extractor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/leafed_dryer~email-link-extractor/runs": { "post": { "operationId": "runs-sync-leafed_dryer-email-link-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/leafed_dryer~email-link-extractor/run-sync": { "post": { "operationId": "run-sync-leafed_dryer-email-link-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "html": { "title": "HTML Content", "type": "string", "description": "HTML content of the email to process" }, "text": { "title": "Text Content", "type": "string", "description": "Plain text content of the email" }, "subject": { "title": "Subject", "type": "string", "description": "Email subject line" }, "from": { "title": "From", "type": "object", "description": "Sender information" }, "date": { "title": "Date", "type": "string", "description": "Email date in ISO format" }, "messageId": { "title": "Message ID", "type": "string", "description": "Unique message identifier" } } }, "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 } } } } } } } } } } ```