Client Background
A brand-monitoring agency wanted to track brand mentions and sentiment across Twitter, Reddit, and niche forums.
The Challenge
APIs had strict rate limits; forums required session cookies and anti-bot measures. Data needed to be enriched with sentiment scores.
Objectives
โฆ Collect posts mentioning target keywords
โฆ Enrich with basic sentiment analysis
โฆ Deliver daily CSV reports
Our Approach
๐๐๐ ๐๐ฌ๐๐ ๐: Leveraged official Twitter API for tweets; fell back to scraping with Selenium for rateโlimit breaches
๐
๐จ๐ซ๐ฎ๐ฆ ๐๐๐ซ๐๐ฉ๐ข๐ง๐ : Authenticated via Selenium; scraped threads with dynamic load
๐๐ง๐๐ฅ๐ฒ๐ฌ๐ข๐ฌ: Ran VADER sentiment on post text in Python; flagged highโimpact posts
๐๐๐ฉ๐จ๐ซ๐ญ๐ข๐ง๐ : Compiled daily summaries in Pandas; output CSV
Results & Impact
โฆ Gathered 30K+ mentions daily, 95% sentiment accuracy
โฆ Automated reports cut manual monitoring by 90%
โฆ Helped clients respond faster to negative sentiment
Tools & Technologies
Python, Tweepy, Selenium, BeautifulSoup, NLTK (VADER), Pandas
Client Testimonial
“very quick and good quality delivered”