How to Fetch TikTok Data and Estimate Earnings Using Python

Max Widgets — Sat, 04 Apr 2026 11:35:32 +0000

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

DEV Community: Max Widgets