# Highest Paying Whop Clipping Campaigns - Live, With Budget Left

**Use case:** 

Find live Whop Content Rewards clipping campaigns that pay the most per 1,000 views and still have at least $500 of budget left, ranked from the highest rate down. Each row has the campaign title, brand, category, campaign type (Whop labels clipping campaigns cpm, paid per 1K views), reward per 1K views, budget left, percent spent, creator count, opportunity score, brand rating and campaign link.

## Input

```json
{
  "status": "active",
  "startUrls": [],
  "campaignIds": [],
  "maxItems": 20,
  "campaignTypes": [
    "clipping"
  ],
  "categories": [],
  "platforms": [],
  "searchText": "",
  "minBudgetLeftUsd": 500,
  "verifiedBrandsOnly": false,
  "hasResourcesOnly": false,
  "fundedAfter": "",
  "fundedBefore": "",
  "newSince": "",
  "sortBy": "reward",
  "includeDetails": true,
  "includeBrand": true,
  "includeViewHistory": false,
  "includeDescription": true,
  "includeRaw": false,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  },
  "concurrency": 8,
  "requestDelaySeconds": 0,
  "maxRetries": 3,
  "maxScanned": 20000
}
```

## Output

```json
{
  "title": {
    "label": "🎬 Campaign",
    "format": "text"
  },
  "brand": {
    "label": "🏢 Brand",
    "format": "text"
  },
  "category": {
    "label": "🏷️ Category",
    "format": "text"
  },
  "campaignType": {
    "label": "🎥 Type",
    "format": "text"
  },
  "status": {
    "label": "🚦 Status",
    "format": "text"
  },
  "rewardPerThousandViews": {
    "label": "💵 $/1K views",
    "format": "number"
  },
  "budgetLeftUsd": {
    "label": "🏦 Budget left",
    "format": "number"
  },
  "progressPercentage": {
    "label": "📉 Spent %",
    "format": "number"
  },
  "opportunityScore": {
    "label": "🎯 Score",
    "format": "number"
  },
  "campaignUrl": {
    "label": "🔗 Campaign",
    "format": "link"
  }
}
```

## How it works

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

The Whop Content Rewards Scraper Actor is ready to run with the inputs already set for "Highest Paying Whop Clipping Campaigns - Live, With Budget Left". [Sign up or log in](https://console.apify.com/create-task-from-example/YpOvx6MNal8dK33eh) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Highest Paying Whop Clipping Campaigns - Live, With Budget Left" task

The Whop Content Rewards Scraper Actor will start running based on the input automatically. You can also change all the input fields, like 📡 campaign status, 🔗 campaign urls (optional — bulk supported), and more, to match your specific use case.

### 3. Receive the "Highest Paying Whop Clipping Campaigns - Live, With Budget Left" 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 🎬 campaign, 🏢 brand, 🏷️ category, 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 "Highest Paying Whop Clipping Campaigns - Live, With Budget Left" task via API](https://apify.com/data_minds/whop-content-rewards-scraper.md).

## About this Actor

This example demonstrates how to use [Whop Content Rewards Scraper](https://apify.com/data_minds/whop-content-rewards-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/data_minds/whop-content-rewards-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/data_minds/whop-content-rewards-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`).