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How to Fetch TikTok Data and Estimate Earnings Using Python

#python #tiktok #api #webdev

TikTok doesn’t provide a fully open and flexible API for developers, which makes it difficult to analyze creator data or build tools around it.

In this post, we’ll:

  • Fetch TikTok data using an unofficial API
  • Extract useful metrics
  • Calculate engagement rate
  • Estimate earnings using a simple model

Step 1: Install Dependencies 

pip install TikTokApi
python -m playwright install
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Step 2: Setup TikTok API Instance

You need a verifyFp value.

Get it from:

  • Open TikTok in browser
  • DevTools → Application → Cookies
  • Copy s_v_web_id value 
from TikTokApi import TikTokApi

verifyFp = "your_verifyFp_here"

api = TikTokApi.get_instance(
    custom_verifyFp=verifyFp,
    use_test_endpoints=True
)
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Step 3: Fetch User Data 

username = "khaby.lame"

user = api.get_user(username)

print(user)
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Step 4: Get User Stats 

stats = user["stats"]

followers = stats["followerCount"]
likes = stats["heartCount"]
videos = stats["videoCount"]

print("Followers:", followers)
print("Total Likes:", likes)
print("Total Videos:", videos)
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Step 5: Fetch User Videos 

videos = api.user_posts(username, count=10)

video_data = []

for video in videos:
    stats = video["stats"]

    views = stats["playCount"]
    likes = stats["diggCount"]
    comments = stats["commentCount"]
    shares = stats["shareCount"]

    video_data.append({
        "views": views,
        "likes": likes,
        "comments": comments,
        "shares": shares
    })

print(video_data)
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Step 6: Calculate Engagement Rate 

def calculate_engagement(video_data):
    total_views = sum(v["views"] for v in video_data)
    total_engagement = sum(
        v["likes"] + v["comments"] + v["shares"] 
        for v in video_data
    )

    if total_views == 0:
        return 0

    return (total_engagement / total_views) * 100


engagement_rate = calculate_engagement(video_data)

print("Engagement Rate:", round(engagement_rate, 2), "%")
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Step 7: Estimate Earnings

Simple model:

  • Low engagement → $0.02 per 1000 views
  • Medium → $0.04
  • High → $0.08 
def estimate_earnings(avg_views, engagement_rate):
    if engagement_rate < 3:
        cpm = 0.02
    elif engagement_rate < 6:
        cpm = 0.04
    else:
        cpm = 0.08

    earnings = (avg_views / 1000) * cpm
    return earnings


avg_views = sum(v["views"] for v in video_data) / len(video_data)

estimated_earnings = estimate_earnings(avg_views, engagement_rate)

print("Estimated Earnings per post: $", round(estimated_earnings, 2))
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Step 8: Get Video URLs 

for video in videos:
    print(video["video"]["playAddr"])
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Final Thoughts

Using an unofficial API, we can:

  • Analyze TikTok creator performance
  • Build engagement tools
  • Estimate earnings

This is exactly how tools like a TikTok Money Calculator work behind the scenes.

If you don’t want to code everything from scratch, you can try a ready-made version here:

👉 https://ttmoneycalculator.com

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