How to Build a Grow a Garden 2 Crop Value Calculator Using Python

Max Widgets — Thu, 18 Jun 2026 04:41:51 +0000

Grow a Garden 2 contains dozens of crops, mutations, growth bonuses, and value multipliers. Manually calculating the value of a harvested crop can be difficult, especially when mutations and friend boosts are involved.

In this tutorial, we'll build a simple Python calculator that estimates crop values automatically.

Step 1: Create Crop Data

plants = { "Carrot": { "base_value": 25, "rarity": "Common" }, "Strawberry": { "base_value": 40, "rarity": "Common" }, "Mushroom": { "base_value": 2500, "rarity": "Legendary" } }

Step 2: Create Mutation Multipliers

mutations = { "None": 1, "Golden": 2, "Bloodlit": 5, "Rainbow": 10 }

Step 3: Calculate Crop Value

def calculate_value(base_value, weight, mutation_multiplier): return base_value * weight * mutation_multiplier value = calculate_value( base_value=2500, weight=4.5, mutation_multiplier=5 ) print("Estimated Value:", value)

Step 4: Add Friend Boost

def apply_friend_boost(value, boost_percent): return value * (1 + boost_percent / 100) final_value = apply_friend_boost(value, 70) print("Final Value:", round(final_value))

Step 5: Complete Calculator

plant = "Mushroom" weight = 4.5 mutation = "Bloodlit" friend_boost = 70 base = plants[plant]["base_value"] multiplier = mutations[mutation] value = calculate_value(base, weight, multiplier) final_value = apply_friend_boost(value, friend_boost) print("Crop:", plant) print("Value:", round(final_value))

Why Use a Calculator?

As new crops, pets, gears, and mutations are added to Grow a Garden 2, value calculations become more complicated.

Many players use dedicated tools instead of calculating everything manually.

If you'd like a ready-made version, you can try:

👉 https://gag2calc.com

It includes crop values, mutations, growth calculations, pets, gears, codes, and other Grow a Garden 2 tools.

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