🕷️️ Job Radar • SCRAPING

freelancer.com 2026-04-26 🟡

🔹 Transform raw social media data into actionable insights using Python
👤 Client: 🇩🇪 Fulda, Germany Member since 2026-04-15
💰 Price: $532 Average bid
🚩 Problem: Extract user engagement, sentiment analysis, and trend analysis from social media posts.
📦 Existing: Not specified

Specifications:

[Target] User engagement metrics (likes, comments)
[Method] Web scraping or API access for data collection
[UI/UX] N/A - Script-based
[Stack] Python with requests/BeautifulSoup/Selenium, pandas, scikit-learn, TextBlob, matplotlib/Seaborn
[Security] Ensure no sensitive credentials are hard-coded; use environment variables if necessary
[Format] Output in CSV or JSON format for easy analysis

Workflow:

1. Define the social media platform and API endpoints (if applicable).
2. Implement data collection using requests/BeautifulSoup/Selenium to scrape latest content.
3. Save collected data locally in a structured format (CSV/JSON).
4. Develop an analysis module for user engagement, sentiment, and trend metrics.
5. Generate visual summaries using matplotlib/Seaborn.
6. Create well-commented Python scripts with clear documentation.
7. Provide a README file detailing setup instructions and required credentials.