# AI Lead Intent Finder (`joseforo/ai-lead-intent-finder`) Actor

Find B2B lead intent from websites: contact data, automation signals, lead score, and outreach messages.

- **URL**: https://apify.com/joseforo/ai-lead-intent-finder.md
- **Developed by:** [Josefo](https://apify.com/joseforo) (community)
- **Categories:** Lead generation, AI, E-commerce
- **Stats:** 0 total users, 0 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## AI Lead Intent Finder

Apify Actor MVP for turning B2B websites into actionable sales leads.

It crawls each website, extracts contact details and social links, detects automation and CRM signals, scores the lead, and generates a short outreach message in German or English.

It can also match each lead against your own products or service packages and output a win-rate plan: best-fit offer, win probability, objections, pitch angle, next best action, and follow-up sequence.

### Input

- `startUrls`: company websites to enrich
- `niche`: target customer segment
- `offer`: your service offer
- `products`: your products, packages, or services to match against each lead
- `salesGoal`: campaign goal for the win-rate plan
- `language`: `de` or `en`
- `maxPagesPerSite`: crawl depth per company website

### Output

Each dataset item contains:

- company name and domain
- emails, phones, contact page, social links
- detected technologies and business signals
- pain points and automation opportunities
- lead score from 0 to 100
- best-fit product and estimated win probability
- objections, pitch angle, next action, and follow-up sequence
- ready-to-send outreach message

### Local run

```bash
npm install
APIFY_LOCAL_STORAGE_DIR=./storage npm start
```

For local testing, create `storage/key_value_stores/default/INPUT.json`.

### Deploy

```bash
npm run apify -- login
npm run apify -- push
```

Do not paste your API token into chat. Use `apify login` or set `APIFY_TOKEN` locally.

Do not use `npx apify login`: that resolves the Apify SDK package, which has no CLI executable. Use the local `apify-cli` via `npm run apify -- ...`.

### Update Store display fields

The Apify API supports updating Actor categories and display metadata. Export a real token locally first:

```bash
export APIFY_TOKEN="your-token"
npm run store:update
```

Update one Actor:

```bash
npm run store:update -- --actor jvbmRq5PIzcxbCPvk
```

Update all Actors owned by your account:

```bash
npm run store:update -- --all
```

Use a config file:

```bash
npm run store:update -- --config ./store-info.example.json
```

# Actor input Schema

## `startUrls` (type: `array`):

Company websites to enrich. Paste URLs from Google Maps, LinkedIn, a CSV import, or another Actor dataset.

## `niche` (type: `string`):

Used in scoring and outreach copy.

## `offer` (type: `string`):

The service you want to sell to these leads.

## `products` (type: `array`):

Products, services, or packages to match against each lead. The Actor outputs the best-fit offer and win-rate reasons.

## `salesGoal` (type: `string`):

Your desired outcome for the outreach campaign.

## `language` (type: `string`):

Language for generated outreach message.

## `maxPagesPerSite` (type: `integer`):

Homepage plus relevant pages such as contact, pricing, services, and imprint.

## `maxConcurrency` (type: `integer`):

Maximum number of websites processed at the same time.

## `includePages` (type: `boolean`):

Adds crawled page URLs to each output item.

## `includeWinRatePlan` (type: `boolean`):

Adds best-fit product, win probability, objections, pitch angle, and follow-up plan for each lead.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.shopify.com"
    }
  ],
  "niche": "E-commerce and service businesses",
  "offer": "AI automation with n8n, CRM updates, lead scoring, and personalized follow-ups",
  "products": [
    {
      "name": "AI Sales Automation",
      "description": "Lead capture, AI qualification, CRM update, personalized follow-up, and sales alerts.",
      "targetSignals": [
        "forms_present",
        "crm_present",
        "booking_flow",
        "email_marketing"
      ],
      "targetTechnologies": [
        "HubSpot",
        "Shopify",
        "Email marketing"
      ],
      "priceFrom": "1500 EUR",
      "cta": "Book a 20-minute automation audit"
    },
    {
      "name": "Automation Quick Win",
      "description": "One small workflow such as form to CRM to Slack alert, delivered quickly.",
      "targetSignals": [
        "forms_present"
      ],
      "targetTechnologies": [
        "WordPress",
        "Webflow"
      ],
      "priceFrom": "500 EUR",
      "cta": "Start with a 48-hour proof of concept"
    }
  ],
  "salesGoal": "Book qualified discovery calls for automation services",
  "language": "de",
  "maxPagesPerSite": 6,
  "maxConcurrency": 5,
  "includePages": true,
  "includeWinRatePlan": true
}
```

# 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 = {
    "startUrls": [
        {
            "url": "https://www.shopify.com"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("joseforo/ai-lead-intent-finder").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 = { "startUrls": [{ "url": "https://www.shopify.com" }] }

# Run the Actor and wait for it to finish
run = client.actor("joseforo/ai-lead-intent-finder").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 '{
  "startUrls": [
    {
      "url": "https://www.shopify.com"
    }
  ]
}' |
apify call joseforo/ai-lead-intent-finder --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/jvbmRq5PIzcxbCPvk/builds/LXqu9BD950evn6Jq0/openapi.json