How to Track Twitter Trends in Real Time

Sign up at scrapebadger.com and grab your API key.

Get the current trending topics across all of Twitter.

from scrapebadger import ScrapeBadger

sb = ScrapeBadger(api_key="YOUR_API_KEY")
trends = sb.twitter.trends.get(category="trending", count=20)

for t in trends["data"]:
    print(f"{t['name']}: {t.get('tweet_volume', 'N/A')} tweets")

Use WOEID codes to get trends for specific cities or countries.

# WOEID 23424977 = United States
us_trends = sb.twitter.trends.get_place("23424977")

# WOEID 2459115 = New York
ny_trends = sb.twitter.trends.get_place("2459115")

for t in us_trends["data"]:
    print(f"US Trending: {t['name']}")

Use the Geo Search endpoint to find WOEID codes for any location.

places = sb.twitter.geo.search(query="London")
for p in places["data"]:
    print(f"{p['name']}: WOEID {p['woeid']}")

Schedule periodic trend fetches to build a historical trend database.

import time
import json
from datetime import datetime

while True:
    trends = sb.twitter.trends.get(category="trending")
    snapshot = {
        "timestamp": datetime.now().isoformat(),
        "trends": trends["data"]
    }
    with open("trend_history.jsonl", "a") as f:
        f.write(json.dumps(snapshot) + "\n")
    print(f"Saved {len(trends['data'])} trends at {snapshot['timestamp']}")
    time.sleep(300)  # Every 5 minutes