# OnlyFans Posts Scraper π± (`easyapi/onlyfans-posts-scraper`) Actor
Scrape OnlyFans creator posts with media content, engagement metrics, and post details. Perfect for content analysis, engagement tracking, and social media research.
- **URL**: https://apify.com/easyapi/onlyfans-posts-scraper.md
- **Developed by:** [EasyApi](https://apify.com/easyapi) (community)
- **Categories:** Social media, Integrations
- **Stats:** 126 total users, 7 monthly users, 87.9% 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/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
## OnlyFans Posts Scraper π±
Powerful and efficient scraper for OnlyFans creator posts. Extract comprehensive post data including media content, engagement metrics, and post details.
### π₯ Features
- Scrape posts from multiple OnlyFans creator profiles
- Extract detailed post information including:
- Post text content and timestamps
- Media attachments (photos, videos)
- Engagement metrics (favorites count)
- Author information
- URLs and references
- Support for pagination and dynamic loading
- Configurable maximum items limit
- Proxy support for reliable scraping
- Real-time data processing and storage
### π― Use Cases
- Content Analysis: Track and analyze creator posting patterns and content types
- Engagement Research: Monitor post performance and audience interaction
- Social Media Marketing: Study successful content strategies
- Digital Marketing: Analyze trending topics and content formats
- Academic Research: Study social media behavior and content creation patterns
### π‘ Input Parameters
The actor accepts the following input parameters:
- `profileUrls` (Required): Array of OnlyFans creator profile URLs to scrape
- `maxItems` (Optional): Maximum number of posts to scrape per profile (default: unlimited)
- `proxyConfiguration` (Optional): Proxy settings for reliable scraping
### π Output
The actor outputs detailed JSON data for each post, including:
- Profile URL and scraping timestamp
- Post content and creation time
- Media attachments information
- Engagement metrics
- Author details
- Associated URLs and references
### π Getting Started
1. Input one or more OnlyFans profile URLs
2. Set the maximum number of items (optional)
3. Configure proxy settings if needed
4. Run the actor and collect the results
#### Input Example
A full explanation of an input example in JSON.
```json
{
"profileUrls": [
"https://onlyfans.com/elenafleur"
],
"maxItems": 30
}
````
#### Output sample
The results will be wrapped into a dataset which you can always find in theΒ **Storage**Β tab. Here's an excerpt from the data you'd get if you apply the input parameters above:
And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.
```json
[
{
"profileUrl": "https://onlyfans.com/elenafleur",
"scrapedAt": "2025-01-25T06:16:17.184Z",
"post": {
"author": {
"id": 229147962,
"_view": "a"
},
"responseType": "post",
"id": 1466093075,
"postedAt": "2025-01-03T01:32:41+00:00",
"postedAtPrecise": "1735867961.000000",
"text": "From plain to perfection! Watch me transform candles into hand-painted treasures, perfect for gifting or sprucing up your space. Letβs get cozy and creative! π @onlyfans
What a journey, loved every second! Catch the full story on @oftv! https://of.tv/creators/tiny-elena/
",
"isMarkdownDisabled": true,
"favoritesCount": 28,
"mediaCount": 1,
"isMediaReady": true,
"isOpened": true,
"hasUrl": true,
"media": [
{
"id": 3631013240,
"type": "photo",
"convertedToVideo": false,
"canView": false,
"hasError": false,
"createdAt": null,
"isReady": true,
"files": {
"full": {
"url": null,
"width": 1600,
"height": 900,
"size": 0,
"sources": []
}
},
"duration": 0
}
]
}
},
...
]
```
# Actor input Schema
## `profileUrls` (type: `array`):
Array of OnlyFans profile URLs to scrape
## `maxItems` (type: `integer`):
Maximum number of posts to scrape per profile
## `proxyConfiguration` (type: `object`):
Proxy settings for the scraper
## Actor input object example
```json
{
"profileUrls": [
"https://onlyfans.com/elenafleur"
],
"maxItems": 30,
"proxyConfiguration": {
"useApifyProxy": false
}
}
```
# 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 = {};
// Run the Actor and wait for it to finish
const run = await client.actor("easyapi/onlyfans-posts-scraper").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 = {}
# Run the Actor and wait for it to finish
run = client.actor("easyapi/onlyfans-posts-scraper").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 '{}' |
apify call easyapi/onlyfans-posts-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=easyapi/onlyfans-posts-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "OnlyFans Posts Scraper π±",
"description": "Scrape OnlyFans creator posts with media content, engagement metrics, and post details. Perfect for content analysis, engagement tracking, and social media research.",
"version": "0.0",
"x-build-id": "vFsUkOUUfNVeGnl99"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/easyapi~onlyfans-posts-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-easyapi-onlyfans-posts-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/easyapi~onlyfans-posts-scraper/runs": {
"post": {
"operationId": "runs-sync-easyapi-onlyfans-posts-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/easyapi~onlyfans-posts-scraper/run-sync": {
"post": {
"operationId": "run-sync-easyapi-onlyfans-posts-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": [
"profileUrls"
],
"properties": {
"profileUrls": {
"title": "Profile URLs",
"type": "array",
"description": "Array of OnlyFans profile URLs to scrape",
"default": [
"https://onlyfans.com/elenafleur"
],
"items": {
"type": "string"
}
},
"maxItems": {
"title": "Maximum Items",
"minimum": 1,
"type": "integer",
"description": "Maximum number of posts to scrape per profile",
"default": 30
},
"proxyConfiguration": {
"title": "Proxy Configuration",
"type": "object",
"description": "Proxy settings for the scraper",
"default": {
"useApifyProxy": false
}
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```