🔥Outreach Lead Generator 🚀 avatar
🔥Outreach Lead Generator 🚀

Under maintenance

Pricing

$10.00 / 1,000 steps

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🔥Outreach Lead Generator 🚀

🔥Outreach Lead Generator 🚀

Under maintenance

Developed by

Offpista LTD

Maintained by Community

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!

0.0 (0)

Pricing

$10.00 / 1,000 steps

3

Monthly users

2

0

Last modified

7 months ago

You can access the 🔥Outreach Lead Generator 🚀 programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=finderr/leadformsubmitter"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using Outreach Lead Form Submitter via Model Context Protocol (MCP) server

MCP server lets you use Outreach Lead Form Submitter within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the Outreach Lead Form Submitter Actor with the provided input.

1curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
2  "jsonrpc": "2.0",
3  "id": 1,
4  "method": "tools/call",
5  "params": {
6    "arguments": {
7      "formInputData": {
8            "firstname": "John",
9            "lastname": "Doe",
10            "companyName": "ACME",
11            "companyWebsite": "https://example.com",
12            "message": "Hello, I am John from...",
13            "numberOfEmployees": 10,
14            "linkedinProfile": "https://linkedin.com/in/...",
15            "phoneNumber": "+1234567890",
16            "email": "janedoe@example.com",
17            "howDidYouHearAboutUs": "Google, search engine..."
18      },
19      "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]"
20},
21    "name": "finderr/leadformsubmitter"
22  }
23}'

The response should be: Accepted. You should received response via SSE (JSON) as:

1event: message
2data: {
3  "result": {
4    "content": [
5      {
6        "type": "text",
7        "text": "ACTOR_RESPONSE"
8      }
9    ]
10  }
11}

Configure local MCP Server via standard input/output for Outreach Lead Form Submitter

You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:

1{
2  "mcpServers": {
3    "actors-mcp-server": {
4      "command": "npx",
5      "args": [
6        "-y",
7        "@apify/actors-mcp-server",
8        "--actors",
9        "finderr/leadformsubmitter"
10      ],
11      "env": {
12        "APIFY_TOKEN": "<YOUR_API_TOKEN>"
13      }
14    }
15  }
16}

You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.

To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.

Pricing

Pricing model

Pay per result 

This Actor is paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.

Price per 1,000 items

$10.00