# FanVue Scraper (`jupri/fanvue`) Actor
π« Scrape FanVue.com
- **URL**: https://apify.com/jupri/fanvue.md
- **Developed by:** [cat](https://apify.com/jupri) (community)
- **Categories:** Social media
- **Stats:** 522 total users, 3 monthly users, 50.5% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet
## Pricing
$5.00 / 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
## Welcome to FanVue.com Scraper
### About FanVue.com
[Fanvue](https://www.fanvue.com) is a creator-first, subscription-based platform launched in 2020, designed for influencers, fitness coaches, adult entertainers, and AI-generated personalities. It allows creators to monetize their content through monthly subscriptions, pay-per-view posts, tips, and private messaging. Fanvue distinguishes itself by offering advanced tools like AI messaging, detailed analytics, and marketing features.
Notably, Fanvue supports both human and AI-generated creators, and is the organizer of the annual **Miss AI** pageantβhighlighting its focus on the future of virtual influencers. With a global reach and a revenue share of up to 85% for new creators, Fanvue is positioning itself as a modern alternative to platforms like OnlyFans and Patreon.
# Actor input Schema
## `query` (type: `array`):
π‘Search Terms
## `example` (type: `array`):
π‘Query Examples : Select one or more example, and hit RUN button.
## `limit` (type: `integer`):
π‘ Number of results
## `dev_proxy_config` (type: `object`):
π‘ Supported protocol:
HTTP(S), SOCKS5
{http|socks5}://{user:pass}@{hostname|ip-address}:port
Example: socks5://example.com:9000
## `dev_custom_headers` (type: `array`):
π‘ Additional HTTP Headers
## `dev_custom_cookies` (type: `array`):
π‘ Additional HTTP Cookies
## `dev_transform_fields` (type: `array`):
π‘ Transform the resulting output. Select only needed fields.
For nested object use DOT. For example: address.streetAddress
For nested array use NUMBER (index of array element starting from index=0). For example: images.0.url
## `dev_dataset_name` (type: `string`):
π‘ Save results into custom named Dataset, use mask to customize dataset name
{ACTOR} = actor name
{DATE} = date (YYYYMMDD)
{TIME} = time (HHMMSS)
This masks can be used to autogenerate Dataset Name.
example: data-{DATE}
Depending on today date the dataset name will be: data-20230603
default: data-{ACTOR}-{DATE}-{TIME}
## `dev_dataset_clear` (type: `boolean`):
Clear Dataset before insert/update.
## `dev_no_strip` (type: `boolean`):
π‘ Keep/Save empty values (NULL, FALSE, empty ARRAY, empty OBJECT, empty STRING)
## Actor input object example
```json
{
"limit": 5
}
````
# 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 = {
"limit": 5
};
// Run the Actor and wait for it to finish
const run = await client.actor("jupri/fanvue").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`πΎ 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);
});
// π Want to learn more π? Go to β 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 = { "limit": 5 }
# Run the Actor and wait for it to finish
run = client.actor("jupri/fanvue").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("πΎ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# π Want to learn more π? Go to β https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"limit": 5
}' |
apify call jupri/fanvue --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=jupri/fanvue",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "FanVue Scraper",
"description": "π« Scrape FanVue.com",
"version": "0.0",
"x-build-id": "e4Eqxg4qbu7lUvMlP"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/jupri~fanvue/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-jupri-fanvue",
"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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/jupri~fanvue/runs": {
"post": {
"operationId": "runs-sync-jupri-fanvue",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/jupri~fanvue/run-sync": {
"post": {
"operationId": "run-sync-jupri-fanvue",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"query": {
"title": "β Query",
"type": "array",
"description": "π‘Search Terms",
"items": {
"type": "string"
}
},
"example": {
"title": "β Example",
"type": "array",
"description": "π‘Query Examples : Select one or more example, and hit RUN button.",
"items": {
"type": "string",
"enum": [
"angel",
"https://www.fanvue.com/darrentill",
"@darrentill",
"@darrentill/posts",
"@darrentill/media",
"@darrentill/video",
"@darrentill/image"
]
}
},
"limit": {
"title": "βΎοΈ Limit",
"type": "integer",
"description": "π‘ Number of results"
},
"dev_proxy_config": {
"title": "π PROXY NETWORKING",
"type": "object",
"description": "π‘ Supported protocol:
HTTP(S), SOCKS5
{http|socks5}://{user:pass}@{hostname|ip-address}:port
Example: socks5://example.com:9000"
},
"dev_custom_headers": {
"title": "π HTTP HEADERS",
"type": "array",
"description": "π‘ Additional HTTP Headers",
"items": {
"type": "object",
"required": [
"key",
"value"
],
"properties": {
"key": {
"type": "string",
"title": "Key"
},
"value": {
"type": "string",
"title": "Value"
}
}
}
},
"dev_custom_cookies": {
"title": "π° HTTP COOKIES",
"type": "array",
"description": "π‘ Additional HTTP Cookies",
"items": {
"type": "object",
"required": [
"key",
"value"
],
"properties": {
"key": {
"type": "string",
"title": "Key"
},
"value": {
"type": "string",
"title": "Value"
}
}
}
},
"dev_transform_fields": {
"title": "β»οΈ CUSTOM FIELD",
"type": "array",
"description": "π‘ Transform the resulting output. Select only needed fields.
For nested object use DOT. For example: address.streetAddress
For nested array use NUMBER (index of array element starting from index=0). For example: images.0.url
",
"items": {
"type": "object",
"required": [
"key",
"value"
],
"properties": {
"key": {
"type": "string",
"title": "Key"
},
"value": {
"type": "string",
"title": "Value"
}
}
}
},
"dev_dataset_name": {
"title": "π CUSTOM STORAGE",
"type": "string",
"description": "π‘ Save results into custom named Dataset, use mask to customize dataset name
{ACTOR} = actor name
{DATE} = date (YYYYMMDD)
{TIME} = time (HHMMSS)
This masks can be used to autogenerate Dataset Name.
example: data-{DATE}
Depending on today date the dataset name will be: data-20230603
default: data-{ACTOR}-{DATE}-{TIME}"
},
"dev_dataset_clear": {
"title": "Clear Storage",
"type": "boolean",
"description": "Clear Dataset before insert/update."
},
"dev_no_strip": {
"title": "Disable data cleansing",
"type": "boolean",
"description": "π‘ Keep/Save empty values (NULL, FALSE, empty ARRAY, empty OBJECT, empty STRING)"
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```