An advanced data mining tool that scrapes X (Twitter) in real-time to identify trending topics, sentiment shifts, and viral opportunities for marketers.

Twitter/X is a real-time pulse of the internet. What people buy. What they hate. What's about to go viral. Brands would pay millions if they could tap into this firehose.
Problem: X's API costs $42,000/month for enterprise access. And they actively block scrapers. Most data tools hit rate limits within minutes.
One hedge fund client uses this to track sentiment on stocks before earnings calls. They've made 7-figure trades based on X Scraper data.
Scraping is the easy part. The magic is in what you do with the data. X Scraper runs every tweet through a custom NLP pipeline that classifies intent:
Imagine getting an alert: "47 people just complained about [Competitor]'s new pricing. 83% negative sentiment."
That's not data. That's a gift-wrapped opportunity to run a targeted ad within the hour.
The real power of social listening is speed. A PR crisis can explode in 15 minutes. A viral trend can die in an hour. If you're checking manually, you're already too late.
X Scraper includes a Slack/Discord Alert Bot. You set the trigger conditions:
"Alert: '[Brand Name] + terrible' spiked 600% in past 30 mins. First tweet: 'Just had the worst customer service experience at [Brand]...'"
Your team sees it in Slack. Response goes out in 10 minutes. Crisis averted—or competitor's crisis exploited.
One DTC brand caught a product defect trending on Twitter 2 hours before it hit mainstream news. They issued a recall before the story broke.
