Building an AI Social Listening App with BrightData

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In this video, we’re building an AI-powered social listening application using Bright Data’s web scraping tools and large language models (LLMs). You’ll learn how to collect brand mentions from search engines and social media, process the data efficiently, and extract valuable insights using AI. Whether you’re a developer, marketer, or business owner, this guide will show you how to monitor your brand’s online presence at scale.
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📚 This video includes a lot of tools and technologies, providing an excellent opportunity to learn:
Bright Data SERP API - Scrape Google search results for brand mentions.
Bright Data Web Scraper API - Collect data from social media and other websites.
OpenAI API (LLMs) - Analyze sentiment and extract key insights.
Database Storage - Store and structure collected data for fast access.
Data Preprocessing - Clean, validate, and enhance raw data.
AI-driven Reporting - Generate actionable insights from collected data.
Automation & Scheduling - Keep your monitoring workflow running continuously.
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#sociallistening #notjustdev #brightdata

[@dreamsachiever212]

thanks for sharing. this is great project

[@notjustdev]

You're welcome🙌

[@royalstatusmafia4310]

🎉🎉

[@nataliedouglas9237]

I wonder if HasData could also help with scraping and analyzing brand mentions on different platforms?

[@antoinedbs]

Hey @nataliedouglas9237, if you’re exploring ways to handle brand mentions across platforms, I recently found Mydrop AI super helpful for this. As a digital agency owner, I used to manually track all this, but with Mydrop's automation features, we've set scenarios to auto-scrape and post insights, saving tons of time. Maybe give it a look if brand monitoring is what you're after! Have you tried anything similar before?

[@notjustdev]

Yes, Brightdata can help with that.