# Whop Content Rewards Scraper | Clipping Campaign Finder (`tactful_anvil/whop-content-rewards-scraper`) Actor
Scrape all Whop Content Rewards campaigns: reward per 1K views, total budget, spent %, budget left, platforms, status. Find the best-paying clipping campaigns in one run. HTTP-only = fast & cheap. MCP/AI-agent ready.
- **URL**: https://apify.com/tactful\_anvil/whop-content-rewards-scraper.md
- **Developed by:** [Mr Zack](https://apify.com/tactful_anvil) (community)
- **Categories:** Videos, Social media, Lead generation
- **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $1.50 / 1,000 results
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
## Whop Content Rewards Scraper — Clipping Campaign Finder
Get **every Whop Content Rewards campaign** as clean structured data in one run: reward per 1,000 views, total budget, budget already spent, budget left, progress %, accepted platforms, campaign type, category, creator count and status.
Stop scrolling the discover feed and screenshotting campaign cards. One run = the full directory (~400–500 campaigns), filterable and sortable — ready for spreadsheets, dashboards, alerts, or your AI agent.
### Who is this for?
- **Clippers & clipping agencies** — find the best-paying campaigns before they're saturated: sort by budget left, filter by `$/1K`, platform and niche. Fresh campaigns with 0% spent = early-mover advantage.
- **Creators & brands running campaigns** — benchmark your reward rate and budget against every other live campaign in your category.
- **Analysts & builders** — the creator-economy "gig board" as a dataset: track new campaign launches, budget burn-rates and platform trends over time.
- **AI agents (MCP)** — pay-per-event actors are callable as tools by AI agents. "Find me active gaming clipping campaigns paying ≥ $2/1K with ≥ $10K budget left" becomes a single tool call.
### Output (one item per campaign)
| Field | Example | Notes |
|---|---|---|
| `title` | `Call of Duty MW4 — DMZ Clipping` | |
| `brand` | `Call of Duty` | |
| `rewardPerThousandViews` | `1.5` | USD per 1,000 views |
| `totalBudgetUsd` | `40000` | |
| `budgetSpentUsd` | `4447` | |
| `budgetLeftUsd` | `35553` | computed — the "is it still worth posting" signal |
| `progressPercentage` | `11` | % of budget consumed |
| `status` | `active` | or `ended` with `status: "all"` input |
| `campaignType` | `clipping` | clipping / ugc / … |
| `category` | `Gaming` | |
| `platforms` | `["tiktok","instagram","youtube"]` | |
| `creators` | `845` | competition signal |
| `successRatePct`, `totalViews`, `engagement` | `82`, `2900000`, `12.1` | campaign stats |
| `fundedAt` | `2026-06-01T12:00:00.000Z` | spot fresh campaigns |
| `campaignUrl` | `https://whop.com/mw4-dmz-clipping/` | jump straight to the campaign |
| `description` | full rules text | hook/format/whitelist requirements |
| `raw` | original strings | exact values as displayed on the site |
### Input highlights
- `status` — `active` (default) or `all`
- `minRewardPerThousand`, `minBudgetLeftUsd`, `maxProgressPercentage` — the three numbers that define a campaign worth your time
- `platforms`, `campaignTypes`, `categories`, `searchText` — slice the directory
- `sortBy` — `budgetLeft` (default), `reward`, `newest`, `progress`
- `maxItems` — you are only charged for returned results
### Why this actor
- **HTTP-only, no browser** → fast (seconds, not minutes) and cheap to run.
- **Defensive parser** → tolerates site structure drift; failures degrade gracefully instead of crashing mid-run.
- **Pay per event** → tiny flat start fee + per-campaign fee. A typical "active campaigns" run costs well under a dollar.
### FAQ
**Is this legal?** The actor only reads the public campaign directory — the same data anyone sees in a browser without logging in. No login, no private data, no bypassing access controls. Review Whop's terms for your specific use case.
**How fresh is the data?** Each run fetches the live directory at that moment. Schedule the actor (e.g. every 6h) + a dataset diff to catch new campaigns early.
**A field came back null?** Some campaigns genuinely omit fields (e.g. UGC campaigns without a per-view rate). Original display strings are always preserved under `raw`.
# Actor input Schema
## `status` (type: `string`):
Which campaigns to return. active = currently paying out (default). all = include ended/paused too (useful for historical rate analysis).
## `campaignTypes` (type: `array`):
Filter by type, e.g. clipping, ugc. Leave empty for all types. Case-insensitive.
## `categories` (type: `array`):
Filter by category as shown on the site, e.g. Entertainment, Gaming, Personal brand. Leave empty for all.
## `platforms` (type: `array`):
Only campaigns that accept at least one of these platforms: tiktok, instagram, youtube, x. Leave empty for all.
## `searchText` (type: `string`):
Substring match against title, brand and description (case-insensitive). Example: poker.
## `minRewardPerThousand` (type: `integer`):
Only campaigns paying at least this many dollars per 1,000 views. Example: 2.
## `minBudgetLeftUsd` (type: `integer`):
Only campaigns with at least this much unspent budget — the practical signal that views will still be paid. Example: 5000.
## `maxProgressPercentage` (type: `integer`):
Only campaigns whose budget is at most this % spent. Example: 80 skips nearly-exhausted campaigns.
## `sortBy` (type: `string`):
Order of the dataset.
## `maxItems` (type: `integer`):
Upper limit of campaigns to return (you are only charged for returned results).
## `proxyConfiguration` (type: `object`):
Proxy settings. Default datacenter proxy works in most cases; switch to RESIDENTIAL group if runs start returning zero campaigns.
## Actor input object example
```json
{
"status": "active",
"campaignTypes": [],
"categories": [],
"platforms": [],
"sortBy": "budgetLeft",
"maxItems": 1000,
"proxyConfiguration": {
"useApifyProxy": 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"proxyConfiguration": {
"useApifyProxy": true
}
};
// Run the Actor and wait for it to finish
const run = await client.actor("tactful_anvil/whop-content-rewards-scraper").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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "proxyConfiguration": { "useApifyProxy": True } }
# Run the Actor and wait for it to finish
run = client.actor("tactful_anvil/whop-content-rewards-scraper").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 '{
"proxyConfiguration": {
"useApifyProxy": true
}
}' |
apify call tactful_anvil/whop-content-rewards-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=tactful_anvil/whop-content-rewards-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Whop Content Rewards Scraper | Clipping Campaign Finder",
"description": "Scrape all Whop Content Rewards campaigns: reward per 1K views, total budget, spent %, budget left, platforms, status. Find the best-paying clipping campaigns in one run. HTTP-only = fast & cheap. MCP/AI-agent ready.",
"version": "0.1",
"x-build-id": "GH6h7JMYZ0I7Odux0"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/tactful_anvil~whop-content-rewards-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-tactful_anvil-whop-content-rewards-scraper",
"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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/tactful_anvil~whop-content-rewards-scraper/runs": {
"post": {
"operationId": "runs-sync-tactful_anvil-whop-content-rewards-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/tactful_anvil~whop-content-rewards-scraper/run-sync": {
"post": {
"operationId": "run-sync-tactful_anvil-whop-content-rewards-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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",
"properties": {
"status": {
"title": "Campaign status",
"enum": [
"active",
"all"
],
"type": "string",
"description": "Which campaigns to return. active = currently paying out (default). all = include ended/paused too (useful for historical rate analysis).",
"default": "active"
},
"campaignTypes": {
"title": "Campaign types",
"type": "array",
"description": "Filter by type, e.g. clipping, ugc. Leave empty for all types. Case-insensitive.",
"default": [],
"items": {
"type": "string"
}
},
"categories": {
"title": "Categories",
"type": "array",
"description": "Filter by category as shown on the site, e.g. Entertainment, Gaming, Personal brand. Leave empty for all.",
"default": [],
"items": {
"type": "string"
}
},
"platforms": {
"title": "Social platforms",
"type": "array",
"description": "Only campaigns that accept at least one of these platforms: tiktok, instagram, youtube, x. Leave empty for all.",
"default": [],
"items": {
"type": "string"
}
},
"searchText": {
"title": "Search text",
"type": "string",
"description": "Substring match against title, brand and description (case-insensitive). Example: poker."
},
"minRewardPerThousand": {
"title": "Min reward per 1K views (USD)",
"minimum": 0,
"type": "integer",
"description": "Only campaigns paying at least this many dollars per 1,000 views. Example: 2."
},
"minBudgetLeftUsd": {
"title": "Min budget left (USD)",
"minimum": 0,
"type": "integer",
"description": "Only campaigns with at least this much unspent budget — the practical signal that views will still be paid. Example: 5000."
},
"maxProgressPercentage": {
"title": "Max budget progress (%)",
"minimum": 0,
"maximum": 100,
"type": "integer",
"description": "Only campaigns whose budget is at most this % spent. Example: 80 skips nearly-exhausted campaigns."
},
"sortBy": {
"title": "Sort results by",
"enum": [
"budgetLeft",
"reward",
"newest",
"progress"
],
"type": "string",
"description": "Order of the dataset.",
"default": "budgetLeft"
},
"maxItems": {
"title": "Max campaigns",
"minimum": 1,
"maximum": 5000,
"type": "integer",
"description": "Upper limit of campaigns to return (you are only charged for returned results).",
"default": 1000
},
"proxyConfiguration": {
"title": "Proxy",
"type": "object",
"description": "Proxy settings. Default datacenter proxy works in most cases; switch to RESIDENTIAL group if runs start returning zero campaigns.",
"default": {
"useApifyProxy": true
}
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```