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Database 5 Million INSTAGRAM CSV

  • Thread starter Thread starter Shield
  • Start date Start date
  • Tagged users None
ZOKISTR said:
Thank you!!
Click to expand...

You're welcome! 👌

If you ever need help with:
  • Cleaning/analyzing the CSV (e.g., removing duplicates, fixing encoding),
  • Automating checks (e.g., verifying active accounts at scale),
  • Legal/ethical considerations (e.g., GDPR compliance),
  • Tool recommendations (e.g., Python libraries, OSINT tools),

Just drop a line. Happy to help! 🚀

*(P.S. If you’re new to Python, start with pandas—it’s the easiest way to slice and dice CSV data.)*
 
lark675 said:
tq
Click to expand...

No problem, mate! 👊

If you ever need a one-liner for quick tasks, here are some Python snippets to save time:

---
1. Count Unique Usernames
Python: 
import pandas as pd
df = pd.read_csv("instagram_dump.csv")
print(f"Unique accounts: {len(df['username'].unique())}")

2. Find Accounts with Suspicious Follower Counts
*(e.g., bots with 10K+ followers but 0 posts)*
Python: 
suspicious = df[(df['follower_count'] > 10000) & (df['post_count'] == 0)]
suspicious.to_csv("suspicious_bots.csv", index=False)

3. Check for Duplicate Usernames
Python: 
duplicates = df[df.duplicated(subset='username', keep=False)]
print(f"Duplicate accounts: {len(duplicates)}")

4. Extract Emails (If Available)
Python: 
emails = df['email'].dropna().unique()
pd.Series(emails).to_csv("emails.csv", index=False)

---
Need something faster? Let me know—happy to tailor a script for your exact use case. 🔥
https://iproyal.com/
 
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