OnlyFans is a subscription-based platform where content creators can earn money by sharing exclusive content with their subscribers. While OnlyFans is primarily known for adult content, it is also used by many creators in various other niches, including fitness, cooking, and music.
However, scraping OnlyFans accounts may be against their terms of service and could result in consequences. Therefore, it’s important to be aware of the risks before attempting to scrape content from OnlyFans.
In this blog post, we will walk you through the steps to scrape OnlyFans accounts using Python with proxies. We will cover everything from setting up a proxy server to using BeautifulSoup to scrape the content you are interested in.
Step 1: Install the required packages
Before we can begin scraping OnlyFans accounts, we need to install the required packages for web scraping in Python. You will need the following packages:
- requests
- BeautifulSoup
- selenium
- webdriver-manager
You can install these packages using pip by running the following command in your terminal or command prompt:
pip install requests beautifulsoup4 selenium webdriver-manager
Make sure to have Python installed on your machine.
Step 2: Set up a proxy
The next step is to set up a proxy server. You can use a paid proxy service or a free proxy service. A proxy server is necessary to avoid getting blocked by OnlyFans. You can also use your own proxy server if you have one. Here is an example of setting up a proxy using the requests library:
import requests
proxy = {
"http": "http://proxy.example.com:8080",
"https": "https://proxy.example.com:8080",
}
response = requests.get("https://www.onlyfans.com", proxies=proxy)
print(response.status_code)
Step 3: Use Selenium to automate the login process
Once you have set up a proxy, you can use Selenium to automate the login process. Here is an example of logging in to OnlyFans using Selenium:
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from webdriver_manager.chrome import ChromeDriverManager
# Set up Chrome webdriver with proxy
options = webdriver.ChromeOptions()
options.add_argument('--proxy-server=http://proxy.example.com:8080')
driver = webdriver.Chrome(ChromeDriverManager().install(), options=options)
# Navigate to OnlyFans login page
driver.get("https://onlyfans.com/login")
# Enter login credentials
username = driver.find_element_by_name("username")
username.send_keys("your_username")
password = driver.find_element_by_name("password")
password.send_keys("your_password")
password.send_keys(Keys.RETURN)
In this example, we have used Chrome as our browser and the ChromeDriverManager to automatically download the appropriate driver for our version of Chrome. You will also need to replace your_username and your_password with your own login credentials.
Step 4: Use BeautifulSoup to scrape the content
Once you are logged in, you can use BeautifulSoup to scrape the content you are interested in. BeautifulSoup is a Python library for parsing HTML and XML documents. It provides a simple way to navigate and search the HTML content of a webpage.
Here is an example of scraping the titles of the posts from the OnlyFans homepage:
from bs4 import BeautifulSoup
# Get the HTML content of the page
html = driver.page_source
# Use BeautifulSoup to parse the HTML content
soup = BeautifulSoup(html, "html.parser")
# Find all the post titles
post_titles = soup.find_all("div", {"class": "post-title"})
for title in post_titles:
print(title.text.strip())
In this example, we have used the find_all method to find all the div tags with the class post-title. We then loop through the results and print the text content of each tag using the text property.
You can also use BeautifulSoup to extract other types of content from OnlyFans, such as images, videos, and links. To do so, you will need to identify the HTML tags that contain the content you want to scrape.
Step 5: Store the scraped data
Finally, you can store the scraped data in a file or a database for further analysis. Here is an example of writing the post titles to a CSV file:
import csv
# Open a CSV file for writing
with open("onlyfans_posts.csv", "w", newline="") as csvfile:
writer = csv.writer(csvfile)
# Write the header row
writer.writerow(["Title"])
# Write each post title as a row in the CSV file
for title in post_titles:
writer.writerow([title.text.strip()])
In this example, we have opened a CSV file called onlyfans_posts.csv for writing. We have then used the csv.writer class to write the post titles to the file. Each title is written as a row in the CSV file with the header row “Title” written first.
Conclusion
In this blog post, we have shown you how to scrape OnlyFans accounts using Python with proxies. We have covered everything from setting up a proxy server to using BeautifulSoup to scrape the content you are interested in.
However, we want to emphasize that scraping OnlyFans accounts may be against their terms of service and could result in consequences. Therefore, it’s important to be aware of the risks before attempting to scrape content from OnlyFans.