# EmailHunter (`saima_nargis/emailhunter`) Actor

Intelligently searches the web in real time to discover publicly available email addresses and verifies them for accuracy.
Unlike typical scrapers, it doesn’t pull data from other email databases — it scans websites directly, extracts real emails people are using online, and validates them.

- **URL**: https://apify.com/saima\_nargis/emailhunter.md
- **Developed by:** [saima nargis](https://apify.com/saima_nargis) (community)
- **Categories:** Lead generation, AI, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

$5.00/month + usage

To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors

## 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

## TypeScript Crawlee & CheerioCrawler Actor Template

<!-- This is an Apify template readme -->

This template example was built with [Crawlee](https://crawlee.dev/) to scrape data from a website using [Cheerio](https://cheerio.js.org/) wrapped into [CheerioCrawler](https://crawlee.dev/api/cheerio-crawler/class/CheerioCrawler).

### Quick Start

Once you've installed the dependencies, start the Actor:

```bash
apify run
````

Once your Actor is ready, you can push it to the Apify Console:

```bash
apify login ## first, you need to log in if you haven't already done so

apify push
```

### Project Structure

```text
.actor/
├── actor.json ## Actor config: name, version, env vars, runtime settings
├── dataset_schema.json ## Structure and representation of data produced by an Actor
├── input_schema.json ## Input validation & Console form definition
└── output_schema.json ## Specifies where an Actor stores its output
src/
└── main.ts ## Actor entry point and orchestrator
storage/ ## Local storage (mirrors Cloud during development)
├── datasets/ ## Output items (JSON objects)
├── key_value_stores/ ## Files, config, INPUT
└── request_queues/ ## Pending crawl requests
Dockerfile ## Container image definition
```

For more information, see the [Actor definition](https://docs.apify.com/platform/actors/development/actor-definition) documentation.

### How it works

This code is a TypeScript script that uses Cheerio to scrape data from a website. It then stores the website titles in a dataset.

- The crawler starts with URLs provided from the input `startUrls` field defined by the input schema. Number of scraped pages is limited by `maxPagesPerCrawl` field from the input schema.
- The crawler uses `requestHandler` for each URL to extract the data from the page with the Cheerio library and to save the title and URL of each page to the dataset. It also logs out each result that is being saved.

### What's included

- **[Apify SDK](https://docs.apify.com/sdk/js)** - toolkit for building [Actors](https://apify.com/actors)
- **[Crawlee](https://crawlee.dev/)** - web scraping and browser automation library
- **[Input schema](https://docs.apify.com/platform/actors/development/input-schema)** - define and easily validate a schema for your Actor's input
- **[Dataset](https://docs.apify.com/sdk/python/docs/concepts/storages#working-with-datasets)** - store structured data where each object stored has the same attributes
- **[Cheerio](https://cheerio.js.org/)** - a fast, flexible & elegant library for parsing and manipulating HTML and XML
- **[Proxy configuration](https://docs.apify.com/platform/proxy)** - rotate IP addresses to prevent blocking

### Resources

- [Quick Start](https://docs.apify.com/platform/actors/development/quick-start) guide for building your first Actor
- [Video tutorial](https://www.youtube.com/watch?v=yTRHomGg9uQ) on building a scraper using CheerioCrawler
- [Written tutorial](https://docs.apify.com/academy/web-scraping-for-beginners/challenge) on building a scraper using CheerioCrawler
- [Web scraping with Cheerio in 2023](https://blog.apify.com/web-scraping-with-cheerio/)
- How to [scrape a dynamic page](https://blog.apify.com/what-is-a-dynamic-page/) using Cheerio
- [Integration with Zapier](https://apify.com/integrations), Make, Google Drive and others
- [Video guide on getting data using Apify API](https://www.youtube.com/watch?v=ViYYDHSBAKM)

### Creating Actors with templates

[How to create Apify Actors with web scraping code templates](https://www.youtube.com/watch?v=u-i-Korzf8w)

### Getting started

For complete information [see this article](https://docs.apify.com/platform/actors/development#build-actor-at-apify-console). In short, you will:

1. Build the Actor
2. Run the Actor

### Pull the Actor for local development

If you would like to develop locally, you can pull the existing Actor from Apify console using Apify CLI:

1. Install `apify-cli`

   **Using Homebrew**

   ```bash
   brew install apify-cli
   ```

   **Using NPM**

   ```bash
   npm -g install apify-cli
   ```

2. Pull the Actor by its unique `<ActorId>`, which is one of the following:

   - unique name of the Actor to pull (e.g. "apify/hello-world")
   - or ID of the Actor to pull (e.g. "E2jjCZBezvAZnX8Rb")

   You can find both by clicking on the Actor title at the top of the page, which will open a modal containing both Actor unique name and Actor ID.

   This command will copy the Actor into the current directory on your local machine.

   ```bash
   apify pull <ActorId>
   ```

### Documentation reference

To learn more about Apify and Actors, take a look at the following resources:

- [Apify SDK for JavaScript documentation](https://docs.apify.com/sdk/js)
- [Apify SDK for Python documentation](https://docs.apify.com/sdk/python)
- [Apify Platform documentation](https://docs.apify.com/platform)
- [Join our developer community on Discord](https://discord.com/invite/jyEM2PRvMU)

# Actor input Schema

## `searchMode` (type: `string`):

Single person or bulk search

## `fullName` (type: `string`):

Full name of the person to find

## `jobTitle` (type: `string`):

Job title (optional, improves search accuracy)

## `companyName` (type: `string`):

Company name (required)

## `country` (type: `string`):

Country or region (optional)

## `bulkData` (type: `array`):

Array of people for bulk mode. Each: { name, title, company, country }

## `includePredictions` (type: `boolean`):

Generate predicted emails based on common naming patterns (firstname.lastname@domain.com etc.)

## `maxPagesPerSource` (type: `integer`):

Maximum pages to crawl per person (more = slower but more thorough)

## Actor input object example

```json
{
  "searchMode": "single",
  "fullName": "Tim Cook",
  "jobTitle": "CEO",
  "companyName": "Apple Inc",
  "country": "United States",
  "bulkData": [
    {
      "name": "Tim Cook",
      "title": "CEO",
      "company": "Apple Inc",
      "country": "USA"
    },
    {
      "name": "Satya Nadella",
      "title": "CEO",
      "company": "Microsoft",
      "country": "USA"
    }
  ],
  "includePredictions": true,
  "maxPagesPerSource": 40
}
```

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "fullName": "Tim Cook",
    "jobTitle": "CEO",
    "companyName": "Apple Inc",
    "country": "United States",
    "bulkData": [
        {
            "name": "Tim Cook",
            "title": "CEO",
            "company": "Apple Inc",
            "country": "USA"
        },
        {
            "name": "Satya Nadella",
            "title": "CEO",
            "company": "Microsoft",
            "country": "USA"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("saima_nargis/emailhunter").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "fullName": "Tim Cook",
    "jobTitle": "CEO",
    "companyName": "Apple Inc",
    "country": "United States",
    "bulkData": [
        {
            "name": "Tim Cook",
            "title": "CEO",
            "company": "Apple Inc",
            "country": "USA",
        },
        {
            "name": "Satya Nadella",
            "title": "CEO",
            "company": "Microsoft",
            "country": "USA",
        },
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("saima_nargis/emailhunter").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 '{
  "fullName": "Tim Cook",
  "jobTitle": "CEO",
  "companyName": "Apple Inc",
  "country": "United States",
  "bulkData": [
    {
      "name": "Tim Cook",
      "title": "CEO",
      "company": "Apple Inc",
      "country": "USA"
    },
    {
      "name": "Satya Nadella",
      "title": "CEO",
      "company": "Microsoft",
      "country": "USA"
    }
  ]
}' |
apify call saima_nargis/emailhunter --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=saima_nargis/emailhunter",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "EmailHunter",
        "description": "Intelligently searches the web in real time to discover publicly available email addresses and verifies them for accuracy.\nUnlike typical scrapers, it doesn’t pull data from other email databases — it scans websites directly, extracts real emails people are using online, and validates them.",
        "version": "0.0",
        "x-build-id": "jwll86Ul7oWfaAOFk"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/saima_nargis~emailhunter/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-saima_nargis-emailhunter",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/saima_nargis~emailhunter/runs": {
            "post": {
                "operationId": "runs-sync-saima_nargis-emailhunter",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/saima_nargis~emailhunter/run-sync": {
            "post": {
                "operationId": "run-sync-saima_nargis-emailhunter",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": [
                    "searchMode"
                ],
                "properties": {
                    "searchMode": {
                        "title": "Search Mode",
                        "enum": [
                            "single",
                            "bulk"
                        ],
                        "type": "string",
                        "description": "Single person or bulk search",
                        "default": "single"
                    },
                    "fullName": {
                        "title": "Full Name",
                        "type": "string",
                        "description": "Full name of the person to find"
                    },
                    "jobTitle": {
                        "title": "Job Title",
                        "type": "string",
                        "description": "Job title (optional, improves search accuracy)"
                    },
                    "companyName": {
                        "title": "Company Name",
                        "type": "string",
                        "description": "Company name (required)"
                    },
                    "country": {
                        "title": "Country / Region",
                        "type": "string",
                        "description": "Country or region (optional)"
                    },
                    "bulkData": {
                        "title": "Bulk Search Data",
                        "type": "array",
                        "description": "Array of people for bulk mode. Each: { name, title, company, country }"
                    },
                    "includePredictions": {
                        "title": "Include Pattern Predictions",
                        "type": "boolean",
                        "description": "Generate predicted emails based on common naming patterns (firstname.lastname@domain.com etc.)",
                        "default": true
                    },
                    "maxPagesPerSource": {
                        "title": "Max Pages to Crawl",
                        "minimum": 10,
                        "maximum": 100,
                        "type": "integer",
                        "description": "Maximum pages to crawl per person (more = slower but more thorough)",
                        "default": 40
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```