# Active Franchisor Leads With FDD Documents

**Use case:** 

Active franchisors that filed an FDD this year, ranked by lead score, with brands, filing dates, file numbers and links to their disclosure documents.

## Input

```json
{
  "franchisorName": "Atwell Suites",
  "searchTerms": [
    "Le Meridien",
    "Spark by Hilton"
  ],
  "nameMatch": "words",
  "onlyWithFdd": true,
  "states": [
    "MN"
  ],
  "statusFilter": [],
  "activeOnly": true,
  "newRegistrationsOnly": false,
  "registeredWithinDays": 365,
  "hasContactInfo": false,
  "fetchContactDetails": true,
  "consolidateByFranchisor": true,
  "maxResults": 300,
  "sortBy": "leadScore",
  "deduplicateResults": true,
  "monitorMode": false,
  "monitorKey": "default",
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

## Output

```json
{
  "franchisorName": {
    "label": "Franchisor",
    "format": "text"
  },
  "primaryBrand": {
    "label": "Brand",
    "format": "text"
  },
  "registeredStates": {
    "label": "States",
    "format": "array"
  },
  "status": {
    "label": "Status",
    "format": "text"
  },
  "isActive": {
    "label": "Active?",
    "format": "boolean"
  },
  "latestRegistrationDate": {
    "label": "Latest filing",
    "format": "text"
  },
  "fddCount": {
    "label": "FDD documents",
    "format": "number"
  },
  "latestFddUrl": {
    "label": "Latest FDD (PDF)",
    "format": "link"
  },
  "fileNumbers": {
    "label": "File numbers",
    "format": "array"
  },
  "leadScore": {
    "label": "Lead score",
    "format": "number"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The US Franchise Registration & FDD Leads Scraper Actor is ready to run with the inputs already set for "Active Franchisor Leads With FDD Documents". [Sign up or log in](https://console.apify.com/create-task-from-example/eLdDwxgca5ZfeqAwe) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Active Franchisor Leads With FDD Documents" task

The US Franchise Registration & FDD Leads Scraper Actor will start running based on the input automatically. You can also change all the input fields, like franchisor or brand name (search), more franchisor or brand names, and more, to match your specific use case.

### 3. Receive the "Active Franchisor Leads With FDD Documents" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as franchisor, brand, states, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Active Franchisor Leads With FDD Documents" task via API](https://apify.com/scrapesage/us-franchise-registrations-scraper.md).

## About this Actor

This example demonstrates how to use [US Franchise Registration & FDD Leads Scraper](https://apify.com/scrapesage/us-franchise-registrations-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/scrapesage/us-franchise-registrations-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/scrapesage/us-franchise-registrations-scraper.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).