# FanCentro Public Profile & Stats Scraper (`scrapers_lat/fancentro-profile-scraper`) Actor
Extract public FanCentro creator profiles: display name, bio, subscription plans and prices, follower and content counts, avatar and banner. Export to JSON, CSV or Excel.
- **URL**: https://apify.com/scrapers\_lat/fancentro-profile-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Social media, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $2.00 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
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
[](https://console.apify.com/actors/IOAciW4HoilvUeCR9/input)
## FanCentro Public Profile & Stats Scraper
> Extract public FanCentro creator profiles at scale: subscription plans and prices, follower and content counts, bio, avatar and banner, all from the logged-out public page.
19 fields per record
Global creators coverage
JSON / CSV / Excel output formats
Updated 2026-07-04
### What you get
Each record is one public FanCentro creator profile with their stats and full subscription pricing. Give it a list of creator handles and it returns:
- **avatarUrl**: profile picture image URL
- **displayName**: the creator's public display name
- **username**: the creator handle used in the profile URL
- **url**: the public profile URL on FanCentro
- **id**: the creator's numeric FanCentro ID
- **bio**: the public "about me" text
- **onlineStatus**: whether the creator is currently online or offline
- **followersCount**: number of followers
- **subscribersCount**: number of subscribers
- **videosCount**: number of videos on the profile
- **postsCount**: number of posts on the profile
- **hasSubscriptions**: whether the creator sells a subscription
- **monthlyPrice**: the monthly subscription price
- **monthlyPriceUsd**: the monthly subscription price in US dollars
- **currency**: the currency of the displayed prices
- **subscriptionPlans**: every plan (monthly, 3 months, 6 months, lifetime) with price, rebill amount, rebill days, discount and normal price
- **subscriptionPerks**: which perks the subscription includes (exclusive content, direct messages, clip discount)
- **coverUrl**: profile banner image URL when the creator has one
- **observedAt**: when this profile was last seen by the scraper
### Who is it for
| Use case | Who benefits |
|---|---|
| Track subscription pricing across creators | Creator economy analysts |
| Build a directory of creators and their stats | Agencies and talent managers |
| Monitor a creator's follower and content growth | Marketing and growth teams |
| Compare plan tiers and discounts | Pricing and market researchers |
| Enrich a list of handles with public profile data | Data and lead teams |
### Frequently Asked Questions
**Which FanCentro creators can I scrape?**
Any creator with a public profile at fancentro.com/handle. You supply the handles and the scraper returns the public data for each one. It does not access subscriber-only posts, media or messages.
**How many profiles can I collect in one run?**
As many handles as you provide. Use the Max Items field to cap the number of profiles collected in a single run. Each handle becomes one record.
**How do I enter the creators I want?**
Add one handle per line in the Creator usernames field. Use the handle from the profile URL, so for fancentro.com/reichan5 enter reichan5. Full profile URLs are also accepted and cleaned automatically.
**Does it include subscription prices?**
Yes. Every plan the creator offers is returned with its price, rebill amount, rebill period, any discount and the normal price, plus a convenience monthly price in both the displayed currency and US dollars.
**What happens if a handle does not exist?**
That record is returned with an error field explaining the reason and the other records in the run are unaffected, so one bad handle never stops the job.
### Export, API and AI agents (x402 + MCP)
Export the scraped data to **JSON, CSV or Excel**, pull it as a **dataset** through the Apify **API**, or wire it into your app with **no code**. This web scraper and data extractor also works for bulk data extraction and scheduled runs.
For AI agents: this Actor is available on **x402**, Apify's agentic payment standard built with Coinbase. An AI agent can discover, pay for and run it on its own with a funded wallet and a single HTTP request: no account, no subscription, no API key and no human in the loop. It also runs as an **MCP** tool inside Claude, Cursor and other AI clients out of the box. Learn more about [x402 agentic payments on Apify](https://docs.apify.com/platform/integrations/x402).
### Related scrapers
Need data from the same space? Here are other scrapers we build and maintain:
- [Instagram Profile & Posts Scraper](https://apify.com/scrapers_lat/instagram-scraper): public Instagram profiles, posts and engagement counts
- [YouTube Video & Channel Data Scraper](https://apify.com/scrapers_lat/youtube-scraper): channel stats, video metadata and view counts
- [Reddit Posts & Comments Scraper](https://apify.com/scrapers_lat/reddit-scraper): posts, comments and subreddit activity without an API key
- [Product Hunt Products, Upvotes & Makers Scraper](https://apify.com/scrapers_lat/product-hunt-scraper): launches, upvotes and maker profiles
- [Apple App Store Reviews & Ratings Scraper](https://apify.com/scrapers_lat/app-store-reviews-scraper): app reviews, ratings and version history
- [Google Play App Reviews & Ratings Scraper](https://apify.com/scrapers_lat/google-play-reviews-scraper): Android app reviews and rating trends
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for Latin American and US public platforms: real estate, jobs, e-commerce, company registries and government data. Browse the full catalog, see live sample output for each one, or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with FanCentro. It only accesses data that is publicly available on the platform. Use it in accordance with FanCentro's terms of service.
# Actor input Schema
## `maxItems` (type: `integer`):
Maximum number of creator profiles to collect. Optional.
## `usernames` (type: `array`):
FanCentro creator handles to scrape, one per line. Use the handle from the profile URL (for fancentro.com/reichan5 enter reichan5). Full profile URLs are also accepted.
## `proxyConfiguration` (type: `object`):
Proxy settings. FanCentro works from datacenter IPs, so proxy is optional. Add a residential proxy only if you hit rate limits or want prices in a specific currency.
## Actor input object example
```json
{
"maxItems": 10,
"usernames": [
"reichan5",
"blondiehottt",
"xev-bellringer"
]
}
````
# Actor output Schema
## `results` (type: `string`):
No description
# 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 = {
"maxItems": 10,
"usernames": [
"reichan5",
"blondiehottt",
"xev-bellringer"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/fancentro-profile-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 = {
"maxItems": 10,
"usernames": [
"reichan5",
"blondiehottt",
"xev-bellringer",
],
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/fancentro-profile-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 '{
"maxItems": 10,
"usernames": [
"reichan5",
"blondiehottt",
"xev-bellringer"
]
}' |
apify call scrapers_lat/fancentro-profile-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/fancentro-profile-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "FanCentro Public Profile & Stats Scraper",
"description": "Extract public FanCentro creator profiles: display name, bio, subscription plans and prices, follower and content counts, avatar and banner. Export to JSON, CSV or Excel.",
"version": "0.1",
"x-build-id": "JghbG7pGOb3UbNepR"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~fancentro-profile-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-fancentro-profile-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~fancentro-profile-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-fancentro-profile-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~fancentro-profile-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-fancentro-profile-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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",
"required": [
"usernames"
],
"properties": {
"maxItems": {
"title": "Max Items",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of creator profiles to collect. Optional."
},
"usernames": {
"title": "Creator usernames",
"type": "array",
"description": "FanCentro creator handles to scrape, one per line. Use the handle from the profile URL (for fancentro.com/reichan5 enter reichan5). Full profile URLs are also accepted.",
"items": {
"type": "string"
}
},
"proxyConfiguration": {
"title": "Proxy configuration",
"type": "object",
"description": "Proxy settings. FanCentro works from datacenter IPs, so proxy is optional. Add a residential proxy only if you hit rate limits or want prices in a specific currency."
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```