Shahid Review Scraping: Arabic Audience Sentiment for MENA Studios

Introduction

Why Shahid Reviews Hold the Key to Arabic Streaming Success :

As MENA audiences rapidly shift to streaming platforms, Shahid has emerged as the leading Arabic-language OTT platform. With millions of subscribers across the UAE, Saudi Arabia, Egypt, and beyond, Shahid Originals and licensed shows are shaping entertainment preferences across the region. For analysts and marketers, web scraping movie reviews data from platforms like Shahid provides valuable insights into viewer sentiment, content popularity, and regional trends in Arabic-language entertainment.

But here’s the challenge: Traditional TRPs and basic viewership stats don’t tell you why a show resonates—or fails. The answer lies in viewer sentiment.

That’s where Datazivot’s Shahid review scraping solution comes in. By extracting thousands of Arabic-language reviews, comments, and ratings from Shahid and social platforms, we help:

• MENA studios make content decisions
• Distributors localize offerings
• Marketers align promotions with emotional engagement

Where We Extract Shahid Review Data

What We Analyze in Arabic Sentiment Scraping

Sample Shahid Review Analysis:

Key Trends from Arabic Review Mining (2025)

1. Arabic Dramas Drive Deep Emotional Engagement

• Over 80% of Al Thaman reviews used words linked to emotion (love, sadness, betrayal)
• Women-led narratives show stronger engagement in Saudi and UAE

2. Historical Epics Need More Than Budget

• High-budget shows like Rise of the Warlords saw drop-off in episodes 3–5 due to weak pace
• Review spikes contained “ممل” (boring), “كان ممكن أحسن” (could be better)

3. Horror Shows Spark Curiosity Across Younger Viewers

• Shows like Kaboos generated viral buzz with keywords like “مشوق” (thrilling), “نهاية غير متوقعة” (unexpected ending)
• Demand highest in 18–24 age group across Egypt and UAE

4. Cultural Representation Matters

• Sentiment is strongly affected by religious and cultural accuracy
• Positive spikes around Ramadan series with moral or family themes

Use Case

MENA Studio Optimizes Episode Length & Tone Using Review Scraping :

• Client: Independent Studio in UAE
• Project: Ramadan Original Mini-Series
• Challenge: Episodes 3 & 4 saw sudden 1-star rating dips

What Datazivot Did:

• Scraped 18,000+ Arabic reviews and tweets
• Sentiment turned from "ممتع" (enjoyable) to "بطيء" (slow) post Episode 3
• Top complaints: “تطويل بدون فائدة” (dragged for no reason)

Studio Action:

• Tightened episodes 5–7 to 22 minutes
• Shifted story focus back to lead conflict
• Released behind-the-scenes teaser to win back audience

Outcome:

• Average rating rose from 3.2 to 4.0
• Social sentiment positive across KSA and Egypt
• Viewership up 34% in final week of Ramadan

Top Keywords in Arabic Viewer Feedback

Genre Sentiment Overview

(Shahid Shows 2025)

How Datazivot Helps MENA Studios & Platforms

Why Review Scraping Works Better Than Basic Ratings

Conclusion

In the MENA Streaming Game, Emotion Wins :

In a region where family, faith, and identity shape content perception, MENA studios need more than numbers—they need emotion-driven intelligence.

With Datazivot’s Shahid review scraping, your team can:

• Detect which shows resonate with which audiences
• Improve story arcs and pacing in real time
• Launch culturally aligned promos
• Localize content based on feedback from KSA, UAE, Egypt & more