How to Scrape Twitter Followers

Sign up at scrapebadger.com (free, no credit card) and copy your API key from the dashboard.

# Your API key looks like: sb_live_xxxxxxxxxxxx

Install the ScrapeBadger SDK for your language.

# Python
pip install scrapebadger

# Node.js
npm install scrapebadger

Call the Get Followers endpoint with the target username.

from scrapebadger import ScrapeBadger

sb = ScrapeBadger(api_key="YOUR_API_KEY")
followers = sb.twitter.users.get_followers("elonmusk")

for f in followers["data"]:
    print(f["username"], f["followers_count"])

Use the cursor from the response to fetch subsequent pages until all followers are retrieved.

all_followers = []
cursor = None

while True:
    result = sb.twitter.users.get_followers("elonmusk", cursor=cursor)
    all_followers.extend(result["data"])
    cursor = result.get("next_cursor")
    if not cursor:
        break

print(f"Total followers: {len(all_followers)}")

Save the data to a CSV file for analysis in Excel, Google Sheets, or pandas.

import csv

with open("followers.csv", "w", newline="") as f:
    writer = csv.DictWriter(f, fieldnames=["username", "name", "followers_count", "bio"])
    writer.writeheader()
    for follower in all_followers:
        writer.writerow({
            "username": follower["username"],
            "name": follower["name"],
            "followers_count": follower["followers_count"],
            "bio": follower.get("bio", ""),
        })