Snapchat Scraper: Scalable Social Data Extraction and Audience Behavior Analytics

import requests
from bs4 import BeautifulSoup

HEADERS = {
    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64)",
    "Accept-Language": "en-US,en;q=0.9",
}

def scrape_snapchat_profile(url):
    response = requests.get(url, headers=HEADERS)

    if response.status_code != 200:
        print("Failed to fetch page:", response.status_code)
        return None

    soup = BeautifulSoup(response.text, "html.parser")

    profile_data = {
        "Username": soup.find("h1", {"class": "profile-name"}).text.strip() if soup.find("h1", {"class": "profile-name"}) else "N/A",
        "Display_Name": soup.find("h2", {"class": "display-name"}).text.strip() if soup.find("h2", {"class": "display-name"}) else "N/A",
        "Followers": soup.find("span", {"class": "follower-count"}).text.strip() if soup.find("span", {"class": "follower-count"}) else "N/A",
        "Engagement_Rate": soup.find("div", {"class": "engagement-rate"}).text.strip() if soup.find("div", {"class": "engagement-rate"}) else "N/A",
        "Story_Views": soup.find("span", {"class": "story-views"}).text.strip() if soup.find("span", {"class": "story-views"}) else "N/A"
    }

    return profile_data

# Example Snapchat profile URL
snapchat_profile_url = "https://www.snapchat.com/add/exampleprofile"

data = scrape_snapchat_profile(snapchat_profile_url)

# Print extracted data
print(data)