# Fansly Search Scraper (`powerai/fansly-search-scraper`) Actor

Search and discover Fansly creators by keyword, automatically extracting account information including profiles, statistics, and subscription details.

- **URL**: https://apify.com/powerai/fansly-search-scraper.md
- **Developed by:** [PowerAI](https://apify.com/powerai) (community)
- **Categories:** Social media, Lead generation, Integrations
- **Stats:** 292 total users, 9 monthly users, 100.0% runs succeeded, 2 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.99 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## 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

## 🔍 Fansly Search Scraper

This actor allows you to search and discover Fansly creators by keyword. It automatically handles pagination and extracts comprehensive account information including profiles, statistics, subscription tiers, and media details.

### Features

- **Keyword-based Search:** Find creators by providing a search keyword
- **Automatic Pagination:** Automatically fetches all available search results across multiple pages
- **Comprehensive Account Data:** Extract detailed information about each creator including:
  - Account identification (ID, username, display name)
  - Social metrics (followers, subscribers, likes)
  - Media statistics (images, videos, bundles)
  - Subscription tier information and pricing
  - Profile status and activity
  - Account creation and last seen timestamps
- **Rich Account Information:** Includes complete account details with subscription plans and promotional offers
- **Real-time Data:** Retrieves up-to-date account statistics and information

### Input Parameters

| Field      | Type    | Required | Description                                    |
|------------|---------|----------|------------------------------------------------|
| `query`    | string  | Yes      | Search keyword to find Fansly creators         |

### Output

The output is a list of account objects, each containing comprehensive creator information:

- `id`: Account ID
- `username`: Creator username
- `displayName`: Display name
- `followCount`: Number of followers
- `subscriberCount`: Number of subscribers
- `createdAt`: Account creation timestamp
- `lastSeenAt`: Last seen timestamp
- `timelineStats`: Media statistics including:
  - Image count
  - Video count
  - Bundle count
- `accountMediaLikes`: Total likes on account media
- `postLikes`: Total likes on posts
- `subscriptionTiers`: Array of subscription tier information including:
  - Tier name and pricing
  - Billing cycles and plans
  - Promotional offers
  - Subscription benefits
- `statusId`: Account status
- `scrapedAt`: Timestamp of when the account was scraped

Example output:

```json
[
  {
    "id": "284744634268135424",
    "username": "sucha_goodgirl",
    "displayName": "Sucha Goodgirl🦄🦋",
    "flags": 18,
    "version": 57,
    "createdAt": 1629382771000,
    "followCount": 104066,
    "subscriberCount": 0,
    "permissions": {
        "accountPermissionFlags": {
            "flags": 0
        }
    },
    "timelineStats": {
      "accountId": "284744634268135424",
      "imageCount": 262,
      "videoCount": 750,
      "bundleCount": 96,
      "bundleImageCount": 227,
      "bundleVideoCount": 2,
      "fetchedAt": 1763624885989
    },
    "accountMediaLikes": 305306,
    "postLikes": 65897,
    "statusId": 1,
    "lastSeenAt": 1763605567000,
    "subscriptionTiers": [
        {
        "id": "284775643726487552",
        "accountId": "284744634268135424",
        "name": "Boyfriend♥",
        "color": "#C71585",
            "pos": 0,
            "price": 5000,
            "maxSubscribers": 0,
            "subscriptionBenefits": [
          "Support me and my content?"
            ],
            "plans": [
                {
            "id": "284775643734880256",
                    "status": 1,
                    "billingCycle": 30,
            "price": 20000,
                    "useAmounts": 0,
            "promos": []
                }
            ]
        }
    ],
    "scrapedAt": "2025-01-29T10:30:00.000Z"
  }
]
```

### Use Cases

- Creator discovery and research
- Market analysis and competitor research
- Influencer identification and tracking
- Content creator analytics
- Subscription tier and pricing analysis
- Social media research

### Notes

- Results are automatically paginated until all available accounts are retrieved
- All account information is retrieved directly from Fansly's search API
- Results include real-time statistics and subscription information
- Account data is comprehensive and includes all available search result details

# Actor input Schema

## `query` (type: `string`):

Search keyword to find Fansly creators

## `maxItems` (type: `integer`):

Maximum number of accounts to fetch

## `proxyConfiguration` (type: `object`):

Proxy settings for the actor

## Actor input object example

```json
{
  "query": "sien",
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": false,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("powerai/fansly-search-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("powerai/fansly-search-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call powerai/fansly-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,powerai/fansly-search-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/3e0325NCdZcIwvcTm/builds/akbJLKbHmYwDdcsBd/openapi.json
