Scraping Netflix & Hotstar for Regional Content Trends in India

Introduction

India is a country of stories—and each region tells its own. From Tamil crime thrillers to Bengali dramas and Hindi comedies, regional content is at the heart of OTT growth in South Asia. Streaming giants like Netflix and Disney+ Hotstar are investing heavily in localized programming. But how do they know what content works where?

The answer lies in data-driven regional insights, powered by Netflix data scraping services and tools that scrape Disney+ HOTSTAR data. OTT Scrape helps OTT platforms, marketers, and studios monitor and map regional content preferences across India’s states and neighboring South Asian countries using real-time multilingual content scraping and movie data scraping techniques.

Why Regional Content Intelligence Matters

With a majority of India’s 700+ million internet users consuming content in local languages, OTT players are in a race to:

Localize UI and metadata (titles, thumbnails, summaries)

Produce shows in regional languages

Understand what’s trending state by state

Time content drops for local festivals and prime seasons

Netflix and Hotstar, for instance, now feature

Tamil thrillers (Suzhal, Vadhandhi)

Bengali dramas (Srikanto)

Marathi comedies (Shantit Kranti)

Malayalam anthologies (Navarasa)

Tracking regional show performance through scraping localized top 10 lists, genre pages, and reviews is now essential for OTT strategy. This is where our ability to scrape movies data and show metadata proves valuable.

What OTT Scrape Collects for Regional Content Mapping

From Netflix India:

State-specific Top 10 (via geotargeted proxies)

Regional language tags

Trending show thumbnails & descriptions

Weekly title movement

From Disney+ Hotstar:

Category-level show lists (Tamil, Telugu, Malayalam, Bengali, etc.)

View count indicators (when available)

User ratings and reviews (localized)

Metadata on language, genre, and release date

Use Cases: Who Benefits from Regional Show Scraping?

1. OTT Studios & Content Teams

Get clarity on which language or genre works best in specific regions using Netflix data scraping services and Hotstar data monitoring.

2. Advertisers & Brands

Plan localized ad placements based on the popularity of regional shows in specific states.

3. Talent & Influencer Managers

Use real-time scraped data to support regional licensing negotiations.

4. Distribution & Licensing Teams

Negotiate better regional distribution deals using evidence of regional popularity.

Regional Preferences by State – Sample Insights 

Tamil Nadu

Hotstar dominates with dubbed Tamil content

High engagement for crime thrillers and investigative series

Netflix Tamil originals gaining share

West Bengal

Strong preference for emotionally rich dramas

Bengali language content drives engagement

Short films and theatre-style direction popular

Maharashtra

Binge-worthy comedies, youth dramas lead

Marathi content is highly consumed when featured prominently

Telangana & Andhra Pradesh

Celebrity-driven talk shows, political satire trend on Hotstar

Dubbed K-dramas and action web series perform well

How OTT Scrape Tracks Multilingual Trends

Step 1: Geo-Located Scraping Setup

We use proxy-based crawling to simulate state-wise access and scrape region-specific Netflix and Disney+ HOTSTAR data.

Step 2: Language Tag Detection

Our scrapers detect languages via tags, filters, and embedded metadata.

Step 3: Sentiment & Review Mining

We analyze reviews in Hindi, Tamil, Telugu, and more using NLP models trained on Indic languages.

Step 4: Data Output Formats

Daily or weekly CSV exports

Interactive dashboards by region & language

API access for enterprise integration

Case Study: Streaming Platform Optimizes Content Launch in South India

Client: Regional OTT platform launching across Tamil Nadu and Kerala

Goal: Time series drops and optimize home screen curation based on Netflix & Hotstar trends

OTT Scrape Approach:

Scraped Hotstar & Netflix Tamil/Malayalam show lists for 90 days

Tracked trending genres and viewer ratings in both states

Mapped sentiment from YouTube and Twitter comments

Result:

Adjusted launch calendar around Onam & Pongal festivals

Increased viewership by 37% in first 60 days

Partnered with two actors trending on both platforms for new shows

Technology Stack Used at OTT Scrape

Scraping Tools: Scrapy, Puppeteer

Proxy Network: Smart proxy (geo-targeted)

NLP: Indic NLP + custom BERT models

Storage & Dashboards: AWS + Looker / Data Studio

Delivery: API, FTP, Sheets

Legal & Ethical Compliance

OTT Scrape ensures:

Data collected from publicly available listings and rankings

No bypassing of login screens or copyright-protected streams

Regional content is anonymized and used for analysis only

Full compliance with scraping regulations and OTT terms of use

Final Thoughts

India’s streaming landscape thrives on regional, multilingual storytelling. Tools that scrape Netflix and scrape Disney+ HOTSTAR data give decision-makers a vital edge in content, advertising, and platform development.

OTT Scrape empowers your team with real-time, region-specific show insights, and clean, structured data for smarter content strategies.

Ready to Decode India’s Regional Content Demand?

Let’s talk about how Netflix data scraping services and our ability to scrape movies data from Hotstar can unlock your regional OTT roadmap.

Know More: https://www.ottscrape.com/web-scraping-netflix-hotstar-for-mapping-regional-content.php