Monitor competitor accounts, analyze their content strategy, track engagement rates, and benchmark your performance against theirs.
Your competitors are active on Twitter but manually tracking their posts, engagement, and follower growth is tedious. You need automated competitive intelligence to inform your own strategy.
Use ScrapeBadger to pull competitor tweets, follower counts, and engagement data on a schedule. Build automated dashboards that compare your metrics against competitors in real time.
import ScrapeBadger from 'scrapebadger';
const sb = new ScrapeBadger({ apiKey: 'YOUR_API_KEY' });
const competitors = ['competitor1', 'competitor2', 'competitor3'];
for (const username of competitors) {
const profile = await sb.twitter.users.getByUsername(username);
const tweets = await sb.twitter.users.getLatestTweets(username);
const avgEngagement = tweets.data.reduce(
(sum, t) => sum + t.favorite_count + t.retweet_count, 0
) / tweets.data.length;
console.log(`@${username}: ${profile.data.followers_count} followers, avg engagement: ${avgEngagement}`);
}Daily for follower counts and weekly for deep content analysis. Use ScrapeBadger Stream Monitors for real-time alerts on competitor posts.
Yes. Pull tweets periodically, calculate engagement metrics, and store them in your database for trend analysis.
Absolutely. Analyze which competitor posts get the most engagement to identify topics and formats your audience responds to.
Yes. Use the Get Followers endpoint to analyze follower demographics, bot ratios, and audience overlap between competitors.
Track every mention of your brand on Twitter. Get real-time alerts via WebSocket or webhooks and respond to customers before issues escalate.
Extract tweets, replies, and mentions programmatically and feed them into your NLP pipeline for real-time sentiment classification.
Find influencers in any niche, analyze their audience quality, and vet them for authentic engagement — all through the API.