How to Fetch TikTok Data and Estimate Earnings Using Python

[MyrinNew]

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







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
)







Step 3: Fetch User Data





username = "khaby.lame"

user = api.get_user(username)

print(user)







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)







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)







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), "%")







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))







Step 8: Get Video URLs





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







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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