# Email Info (`apioracle/email-info`) Actor This actor analyzes any email and returns detailed insights: name detection, gender and country guess, inbox name patterns, email quality score, disposable check, and global ranking data for first/last names. Ideal for enrichment, lead validation, and identity intelligence. - **URL**: https://apify.com/apioracle/email-info.md - **Developed by:** [Leo Barone](https://apify.com/apioracle) (community) - **Categories:** Lead generation, Integrations, Automation - **Stats:** 21 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 results 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 ## Email Intelligence & Enrichment API β€” Apify Actor ### What does Email Intelligence & Enrichment do? **Email Intelligence & Enrichment** analyzes any email address and returns rich insights such as **name detection**, **gender and country prediction**, **email quality score**, **inbox pattern**, and **disposable email detection**. Provide one or multiple emails, optionally with **country hints**, and receive a structured enrichment profile. Powered by a complex algorithm that mixes country names statistics and heuristics, this Actor can extract names even from emails where the name isn’t separated by dots, underscores, or any delimiter. If you only need a lightweight API for **name β†’ country/gender prediction**, you can use: πŸ‘‰ **[https://apify.com/apioracle/name-info](https://apify.com/apioracle/name-info)** --- ### Why use Email Intelligence & Enrichment? This Actor is ideal for: * πŸ” Lead qualification * 🎯 Marketing personalization * 🧹 Data cleaning & validation * πŸ›‘οΈ Fraud detection * πŸ“Š Identity intelligence & enrichment pipelines Thanks to the Apify platform, you get: * ⚑ Cloud scaling * πŸ“… Scheduling any extraction * πŸ”Œ REST API for full automation * πŸ” Automatic retries & logging * πŸ“„ Export to JSON, CSV, Excel, or API endpoints --- ### What data can this Actor extract? | Field | Description | | ------------------------- | ------------------------------------------- | | `email` | Email being analyzed | | `domain` | Extracted domain | | `email_pattern` | Pattern such as `{first}{last}` | | `is_disposable_email` | Disposable provider check | | `quality_score` | Score 0–1 | | `first_name`, `last_name` | Parsed or inferred names | | `guessed_gender` | male / female / unknown | | `guessed_country` | Most likely country | | `*_info` | Deep ranking, distributions & probabilities | This Actor includes **extremely detailed** global name statistics for both first and last names. --- ### How do I use this Actor? 1. Open the Actor. 2. Go to the **Input** tab. 3. Add your emails (with optional `country_iso_2_hints` if you know the user country). 4. Click **Start**. 5. Download your dataset or access via API. Common uses: * CRM enrichment * Identity verification workflows * Automated lead scoring via API * Bulk enrichment jobs --- ### Input example ```json { "emails": [ { "email": "mariorossi@emailprovider.com", "country_iso_2_hints": ["IT"] } ] } ```` *** ### Output example (simplified) ```json [ { "email": "lucamarmotta@emailprovider.com", "is_disposable_email": false, "quality_score": 0.8, "domain": "emailprovider.com", "email_pattern": "{first}{last}", "first_name": "mario", "last_name": "rossi", "guessed_gender": "male", "guessed_country": "Italy", "guessed_country_iso_2": "IT" } ] ``` Download your dataset in **JSON**, **CSV**, **Excel**, or via **API**. *** ### Tips & advanced options - Add `country_iso_2_hints` for better accuracy. - Process hundreds/thousands of emails in one run. - Integrate in real-time using the Dataset API URL. - Chain with other Actors for full contact enrichment. *** ### FAQ #### Is this compliant? The Actor does **not** scrape websites and does **not** access private data. It analyzes only the email string you provide. If handling personal data, ensure compliance with GDPR or local regulations. #### Can I use this via API? Yes β€” every run generates an API endpoint containing your dataset. #### What formats can I export? JSON, CSV, Excel, or via REST API. *** ### Need only name β†’ gender/country prediction? Use the lightweight API version here: πŸ‘‰ **** *** ### Need a custom version? If you want deeper scoring, company enrichment, or custom logic, open an Issue or contact the developer through Apify. # Actor input Schema ## `emails` (type: `array`): Array of emails ## Actor input object example ```json { "emails": [ { "email": "mario.rossi@exampledomain.com", "country_iso_2_hints": [ "IT" ] } ] } ``` # Actor output Schema ## `overview` (type: `string`): No description # 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 = { "emails": [ { "email": "mario.rossi@exampledomain.com", "country_iso_2_hints": [ "IT" ] } ] }; // Run the Actor and wait for it to finish const run = await client.actor("apioracle/email-info").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "emails": [{ "email": "mario.rossi@exampledomain.com", "country_iso_2_hints": ["IT"], }] } # Run the Actor and wait for it to finish run = client.actor("apioracle/email-info").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "emails": [ { "email": "mario.rossi@exampledomain.com", "country_iso_2_hints": [ "IT" ] } ] }' | apify call apioracle/email-info --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=apioracle/email-info", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Email Info", "description": "This actor analyzes any email and returns detailed insights: name detection, gender and country guess, inbox name patterns, email quality score, disposable check, and global ranking data for first/last names. Ideal for enrichment, lead validation, and identity intelligence.", "version": "0.0", "x-build-id": "QUBnOBYugxIXLhda3" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/apioracle~email-info/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-apioracle-email-info", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/apioracle~email-info/runs": { "post": { "operationId": "runs-sync-apioracle-email-info", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/apioracle~email-info/run-sync": { "post": { "operationId": "run-sync-apioracle-email-info", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "emails": { "title": "Emails", "type": "array", "description": "Array of emails" } } }, "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 } } } } } } } } } } ```