# 🔥Outreach Lead Generator 🚀 (`offpistaa/leadformsubmitter`) Actor

Find new customers for your product or service by automatically contacting them with your personal message via automated contact form submission. You can submit any kind of content and also define how to search and which search engines to choose. 📧🚀similar to GSA but packed with AI technology!

- **URL**: https://apify.com/offpistaa/leadformsubmitter.md
- **Developed by:** [Ateam Builders](https://apify.com/offpistaa) (community)
- **Categories:** AI, Lead generation
- **Stats:** 31 total users, 1 monthly users, 0.0% runs succeeded, 7 bookmarks
- **User rating**: 1.00 out of 5 stars

## Pricing

$10.00 / 1,000 steps

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

## 🚀💥 Introducing Lead Generator 💥

#### 🎉 Welcome to the future of Lead Generation! 🎉

### Features
Our crawler leverages AI and LLM models to navigate and fill out contact forms. Upon completion, you will receive:
- ✅ Success status.
- 🤖 GSA Form Submiter for successful outreach!
- 💬 Contact interact **with Chat widgets!**  - 🆕🆕🆕 
- 📸 Screenshots of actions taken.
- 🎥 A video recording of the entire process.
- 🌐 Works on any website
- 🗣️ Powered by natural language
- 🔄 API driven, infinite scaling
- 🌍 Proxy networks
- 🛡️ CAPTCHA support
- 📊 Data extraction
- 🌏 Multi-lingual capabilities


### Requirements
To use this actor, you'll need to provide:
- 🔑 Your OpenAI API key.
- 🌐 The target website URL(s).
- 📄 Input data in JSON format.
- 💬 The message you want to send.

Additional features:
- 🌍 Residential proxy support.
- 🕸️ Deep crawling to locate contact pages.
- 🤖 Robust error handling.
- 🔄 Context adaptation using ChatGPT.
- 📈 Comprehensive reporting and analytics.

### Input Data Form
Provide valid JSON-structured data:
```json
{
    "firstname": "John",
    "lastname": "Doe",
    "companyName": "ACME",
    "companyWebsite": "https://www.cognitoforms.com/supportrequest",
    "numberOfEmployees": 10,
    "linkedinProfile": "https://linkedin.com/in/...",
    "phoneNumber": "+1234567890",
    "email": "johndoe@example.com",
    "howDidYouHearAboutUs": "Google, search engine..."
}
````

- Adding your linkedin is optional

### Custom Message

Use this template to craft your custom message:

```
Hey there 👋

I’m [Your Name] from [Your Company], and we offer cutting-edge [offers, solutions] tailored for [Your Target Audience]. Our [solutions]
handle everything from [Key Function 1] to [Key Function 2],
giving you more time to focus on what you do best—[Your Key Business Activity]
and growing your business.

Curious to see how we can transform your operations?

Let's chat! Test drive our [service, platform] on [Your Website]

Best,
[Your Name]
[Your Company]
```

### Conclusion

This actor streamlines your lead generation process, allowing you to focus on engaging with potential clients and growing your business.
For more details and support, feel free to reach out.

# Actor input Schema

## `openAIKey` (type: `string`):

The API key provided by OpenAI.

## `targetUrls` (type: `string`):

Enter each URL on a new line where you want to submit the form data.

## `formInputData` (type: `object`):

The input data needed to fill out the form. The AI will use this data.

## `message` (type: `string`):

The message you want to be sent in the form.

## `useGptToImproveCustomMessage` (type: `boolean`):

If enabled, GPT will improve your custom message.

## Actor input object example

```json
{
  "targetUrls": "https://propaganda-inc.com/contact-us/",
  "formInputData": {
    "firstname": "John",
    "lastname": "Doe",
    "companyName": "ACME",
    "companyWebsite": "https://example.com",
    "message": "Hello, I am John from...",
    "numberOfEmployees": 10,
    "linkedinProfile": "https://linkedin.com/in/...",
    "phoneNumber": "+1234567890",
    "email": "janedoe@example.com",
    "howDidYouHearAboutUs": "Google, search engine..."
  },
  "message": "Hey t,here 👋\n\nI’m [Your Name] from [Your Company], and we offer cutting-edge [offers, solutions] tailored for [Your Target Audience]. Our [solutions] handle everything from [Key Function 1] to [Key Function 2], giving you more time to focus on what you do best—[Your Key Business Activity] and growing your business.\n\nCurious to see how we can transform your operations?\n\nLet's chat! Test drive our [service, platform] on [Your Website]\n\nBest,\n[Your Name]\n[Your Company]",
  "useGptToImproveCustomMessage": false
}
```

# 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 = {
    "formInputData": {
        "firstname": "John",
        "lastname": "Doe",
        "companyName": "ACME",
        "companyWebsite": "https://example.com",
        "message": "Hello, I am John from...",
        "numberOfEmployees": 10,
        "linkedinProfile": "https://linkedin.com/in/...",
        "phoneNumber": "+1234567890",
        "email": "janedoe@example.com",
        "howDidYouHearAboutUs": "Google, search engine..."
    },
    "message": `Hey t,here 👋

I’m [Your Name] from [Your Company], and we offer cutting-edge [offers, solutions] tailored for [Your Target Audience]. Our [solutions] handle everything from [Key Function 1] to [Key Function 2], giving you more time to focus on what you do best—[Your Key Business Activity] and growing your business.

Curious to see how we can transform your operations?

Let's chat! Test drive our [service, platform] on [Your Website]

Best,
[Your Name]
[Your Company]`
};

// Run the Actor and wait for it to finish
const run = await client.actor("offpistaa/leadformsubmitter").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 = {
    "formInputData": {
        "firstname": "John",
        "lastname": "Doe",
        "companyName": "ACME",
        "companyWebsite": "https://example.com",
        "message": "Hello, I am John from...",
        "numberOfEmployees": 10,
        "linkedinProfile": "https://linkedin.com/in/...",
        "phoneNumber": "+1234567890",
        "email": "janedoe@example.com",
        "howDidYouHearAboutUs": "Google, search engine...",
    },
    "message": """Hey t,here 👋

I’m [Your Name] from [Your Company], and we offer cutting-edge [offers, solutions] tailored for [Your Target Audience]. Our [solutions] handle everything from [Key Function 1] to [Key Function 2], giving you more time to focus on what you do best—[Your Key Business Activity] and growing your business.

Curious to see how we can transform your operations?

Let's chat! Test drive our [service, platform] on [Your Website]

Best,
[Your Name]
[Your Company]""",
}

# Run the Actor and wait for it to finish
run = client.actor("offpistaa/leadformsubmitter").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 '{
  "formInputData": {
    "firstname": "John",
    "lastname": "Doe",
    "companyName": "ACME",
    "companyWebsite": "https://example.com",
    "message": "Hello, I am John from...",
    "numberOfEmployees": 10,
    "linkedinProfile": "https://linkedin.com/in/...",
    "phoneNumber": "+1234567890",
    "email": "janedoe@example.com",
    "howDidYouHearAboutUs": "Google, search engine..."
  },
  "message": "Hey t,here 👋\\n\\nI’m [Your Name] from [Your Company], and we offer cutting-edge [offers, solutions] tailored for [Your Target Audience]. Our [solutions] handle everything from [Key Function 1] to [Key Function 2], giving you more time to focus on what you do best—[Your Key Business Activity] and growing your business.\\n\\nCurious to see how we can transform your operations?\\n\\nLet'\''s chat! Test drive our [service, platform] on [Your Website]\\n\\nBest,\\n[Your Name]\\n[Your Company]"
}' |
apify call offpistaa/leadformsubmitter --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "🔥Outreach Lead Generator 🚀",
        "description": "Find new customers for your product or service by automatically contacting them with your personal message via automated contact form submission. You can submit any kind of content and also define how to search and which search engines to choose. 📧🚀similar to GSA but packed with AI technology!",
        "version": "0.0",
        "x-build-id": "JA4pLFL5BU8IkRigM"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/offpistaa~leadformsubmitter/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-offpistaa-leadformsubmitter",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/offpistaa~leadformsubmitter/runs": {
            "post": {
                "operationId": "runs-sync-offpistaa-leadformsubmitter",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/offpistaa~leadformsubmitter/run-sync": {
            "post": {
                "operationId": "run-sync-offpistaa-leadformsubmitter",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": [
                    "targetUrls",
                    "openAIKey",
                    "formInputData",
                    "message",
                    "useGptToImproveCustomMessage"
                ],
                "properties": {
                    "openAIKey": {
                        "title": "OpenAI API Key",
                        "type": "string",
                        "description": "The API key provided by OpenAI."
                    },
                    "targetUrls": {
                        "title": "Target Sites URLs",
                        "type": "string",
                        "description": "Enter each URL on a new line where you want to submit the form data.",
                        "default": "https://propaganda-inc.com/contact-us/"
                    },
                    "formInputData": {
                        "title": "Form Input Data (JSON Format)",
                        "type": "object",
                        "description": "The input data needed to fill out the form. The AI will use this data."
                    },
                    "message": {
                        "title": "Custom Message",
                        "type": "string",
                        "description": "The message you want to be sent in the form."
                    },
                    "useGptToImproveCustomMessage": {
                        "title": "Use GPT to improve my custom message",
                        "type": "boolean",
                        "description": "If enabled, GPT will improve your custom message.",
                        "default": false
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```